配电变压器有载无弧自动调容控制系统研究
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摘要
变压器是电力工业的主要设备之一,它在传输电能的同时也在消耗着电能。在我国整个电网的损耗当中,变压器的损耗所占的比重是最大的,其损耗占电网总损耗的60%以上。其中,中低压配电网由于使用了大量的配电变压器,使得配电变压器的损耗大约占变压器总损耗的30%左右。因此,推广研制高效节能的配电变压器来减少其损耗已经成为电力系统节能工作的重点之一。
我国农村电网的负荷具有用电集中、季节性负荷变化大、峰谷差异明显以及年平均负载率低等特点。这样就在配电变压器容量选择的问题上提出了难题,如果按照平均负荷或者最小负荷来选择配电变压器的容量就会在用电旺季出现比较严重的过负载现象；如果按照最大负荷来选择则会使变压器长期处于“大马拉小车”的状态,造成大量不必要的电能浪费。在这种情况下使用调容变压器,既可以使变压器在轻载时处于经济运行状态,又能够确保变压器在用电高峰时的供电容量充裕,最终达到降低变压器综合电能损耗的效果。因此,研究配电变压器调容的相关技术具有十分重大的现实意义。
论文根据我国农村配电网的特点,针对无载调容配电变压器与机械式有载调容配电变压器的缺陷与不足,对配电变压器的有载无弧自动调容技术进行研究。
在分析调容变压器调容原理以及降损节能原理的基础上,提出了一种配电变压器有载无弧自动调容临界经济容量的选取策略。该选取策略是以经济运行方式为基础来进行选择的,应用该选取策略对各容量组合调容变压器的临界经济容量进行了计算。在此基础上,分析有载调容配电变压器的有功损耗率与负载率之间的关系。同时以SZ11-M-T315(100)和S11型额定容量为315kVA的配电变压器为例,对比分析了两者的效率特性。根据实际的日、月负荷曲线对有载调容配电变压器与单一容量配电变压器的动态损耗进行计算分析,结果显示使用调容变压器的节电效果十分明显。
在分析现有调容变压器缺陷与不足的基础上,提出了以反并联晶闸管作为调容开关的配电变压器有载无弧自动调容的总体设计方案以及调容开关的布置方案。通过计算调容开关在使用中所承受的电压、导通时流过的电流情况,从理论上验证了以晶闸管作为配电变压器有载无弧自动调容开关的可行性。在介绍晶闸管工作原理、特性以及相关参数的基础上,对晶闸管阀组中晶闸管串联个数以及动态、静态均压电路的参数进行了相关计算。
提出了一种配电变压器有载无弧自动调容的控制策略。该控制策略以在线负荷与基于灰色负荷预测模型预测的负荷共同做为调容依据,以某单班制企业的实际数据为例,利用该控制策略对其进行容量调节,有效地避免了负荷由于短时波动而引起调容开关频繁切换的弊端。在MATLAB/SIMULINK中搭建了有载无弧调容变压器的仿真模型,对某单班制企业中使用本控制策略的有载无弧自动调容变压器进行仿真分析,验证了本控制策略的实用性与有效性。
对配电变压器有载无弧自动调容的控制系统进行研究设计。该控制系统通过三相电能专用计量芯片ATT7022B对变压器低压侧的电压、电流进行数据采集生成在线负荷,主控芯片ATmega128根据本文所提出的控制策略发出相应的控制指令,由基于MOC3061的低压侧晶闸管触发电路触发导通有载无弧自动调容配电变压器低压侧对应的调容开关,由晶闸管阀光电触发与在线监测的方式来触发并监测变压器高压侧对应的晶闸管阀组。
针对论文提出的配电变压器有载无弧自动调容的各种优化方法,通过实例进行计算和仿真分析,结果验证了论文提出方案的正确性和有效性。
The transformer is one of the main equipments in the electricity industry. It also consume energy during the transmission of electrical energy. The transformer loss is the largest in the entire power loss in our country, which accounts for more than60%of the total power loss. Lots of distribution transformers are used in the low-voltage distribution network, which make the power loss of distribution transformers occupy30%i n the total transformers power loss. Therefore, developing and spreading the efficient energy-saving transformer become the main work in the field of energy saving in electric power system.
The rural loads in our country have such characteristics, for instance electric centralized, seasonal load changing greatly, obvious difference between peak and valley and the low annual average load rate. Therefore, it is difficult to choose the proper capacity of distribution transformers. If the capacity of distribution transformers is chosen according to the average load or minimum load, then, it will emerge serious overload phenomenon in the peak of power consuming; If the capacity of distribution transformers is chosen according to maximum load, then, the transformer can not be fully operational in long time,and caused a lot of waste of electric energy. Based on these, the regulating capacitive transformer will not only make it run with the economic state under low load, but also make sure the transformer can supply enough power energy during the peak of consuming. Finally, it can reduce the comprehensive energy consumption of transformer. Therefore, researching regulating capacity technology of distribution transformer is of great realistic significance.
According to the characteristics of China's rural distribution network, and aiming at the shortcomings of no-load regulating capacity distribution transformers and mechanical on-load regulating capacity distribution transformers, this paper studies distribution transformer on-load automatic regulating capacity technology without arc.
Based on the regulating capacity principle and loss reduction and energy saving principle, it proposes a kind of selection strategy of critical economic capacity for distribution transformer on-load automatic regulating capacity technology without arc. The method is selected based on the economic operation and calculates the critical economic capacity.Based on this, it analyses the relationship between the active power loss rate and the load rate of the on-load regulating capacity distribution transformers. Meanwhile, this paper takes the example of SZ11-M-T315(100) and S11distribution transformers, and compares the efficiency characteristics. In this paper, Calculating and analysising the dynamic loss of the on-load regulating capacity distribution transformers and the single capacity distribution transformer based on the daliy and monthly load curve, the results show that the regulating transformer has an obvious power saving effect.
Based on the defects and shortcomings of existing regulating capacity transformer, the paper proposes the overall arcless on-load automatic capacity regulation design and regulating capacity switch arrangement.By calculating the withstand voltage and conduction current, it proves the feasibility about the issue which was proposed above that the thyristor is used as the regulating capacitive switch. Based on the introduction of thyristor working principle, characteristics and related parameters, the paper calculates the numbers of the thyristors series in thyristor valve group,and circuit parameters of dynamic and static average voltage.
This paper proposes a kind of arcless automatically regulating distribution capacity control strategy. This control strategy bases on online load and the load prediction from grey load forecasting model, takes the actual data from a single-shift system as real examples, then regulates the capacity using the control strategy, which avoid the malpractice that causes by the regulating capacitive switch changes frequently. Build a simulation model for arcless on-load automatic capacity regulation distribution transformer under the MATLAB/SIMULINK,and simulation analysis the arcless on-load automatic capacity regulation distribution transformer to some single-shift enterprise, test and verify the validity and practicability of this control strategy.
This paper researchs and designs the control system of arcless on-load automatic capacity regulation distribution transformer. The system captures the voltage and current data from low-voltage side of the transformer through a three-phase power metering chip ATT7022B, which generates a online load. The master chip ATmegal28sends corresponding control command. MOC3061low voltage side thyristor trigger circuit triggers the regulating capacitive switch which is corresponding to the low voltage side of the arcless on-load automatic capacity regulation distribution transformer, meanwhile, thyristor valve photoelectric trigger and online monitoring together triggers and monitors corresponding thyristor valve group of the high-voltage side of the transformer.
According to the different kinds of optimization methods of arcless on-load automatic capacity regulation distribution transformer, this paper analyzes the caculation and simulation.
The results show the scheme that is introduced in the paper is correct and effective.
我国农村电网的负荷具有用电集中、季节性负荷变化大、峰谷差异明显以及年平均负载率低等特点。这样就在配电变压器容量选择的问题上提出了难题,如果按照平均负荷或者最小负荷来选择配电变压器的容量就会在用电旺季出现比较严重的过负载现象；如果按照最大负荷来选择则会使变压器长期处于“大马拉小车”的状态,造成大量不必要的电能浪费。在这种情况下使用调容变压器,既可以使变压器在轻载时处于经济运行状态,又能够确保变压器在用电高峰时的供电容量充裕,最终达到降低变压器综合电能损耗的效果。因此,研究配电变压器调容的相关技术具有十分重大的现实意义。
论文根据我国农村配电网的特点,针对无载调容配电变压器与机械式有载调容配电变压器的缺陷与不足,对配电变压器的有载无弧自动调容技术进行研究。
在分析调容变压器调容原理以及降损节能原理的基础上,提出了一种配电变压器有载无弧自动调容临界经济容量的选取策略。该选取策略是以经济运行方式为基础来进行选择的,应用该选取策略对各容量组合调容变压器的临界经济容量进行了计算。在此基础上,分析有载调容配电变压器的有功损耗率与负载率之间的关系。同时以SZ11-M-T315(100)和S11型额定容量为315kVA的配电变压器为例,对比分析了两者的效率特性。根据实际的日、月负荷曲线对有载调容配电变压器与单一容量配电变压器的动态损耗进行计算分析,结果显示使用调容变压器的节电效果十分明显。
在分析现有调容变压器缺陷与不足的基础上,提出了以反并联晶闸管作为调容开关的配电变压器有载无弧自动调容的总体设计方案以及调容开关的布置方案。通过计算调容开关在使用中所承受的电压、导通时流过的电流情况,从理论上验证了以晶闸管作为配电变压器有载无弧自动调容开关的可行性。在介绍晶闸管工作原理、特性以及相关参数的基础上,对晶闸管阀组中晶闸管串联个数以及动态、静态均压电路的参数进行了相关计算。
提出了一种配电变压器有载无弧自动调容的控制策略。该控制策略以在线负荷与基于灰色负荷预测模型预测的负荷共同做为调容依据,以某单班制企业的实际数据为例,利用该控制策略对其进行容量调节,有效地避免了负荷由于短时波动而引起调容开关频繁切换的弊端。在MATLAB/SIMULINK中搭建了有载无弧调容变压器的仿真模型,对某单班制企业中使用本控制策略的有载无弧自动调容变压器进行仿真分析,验证了本控制策略的实用性与有效性。
对配电变压器有载无弧自动调容的控制系统进行研究设计。该控制系统通过三相电能专用计量芯片ATT7022B对变压器低压侧的电压、电流进行数据采集生成在线负荷,主控芯片ATmega128根据本文所提出的控制策略发出相应的控制指令,由基于MOC3061的低压侧晶闸管触发电路触发导通有载无弧自动调容配电变压器低压侧对应的调容开关,由晶闸管阀光电触发与在线监测的方式来触发并监测变压器高压侧对应的晶闸管阀组。
针对论文提出的配电变压器有载无弧自动调容的各种优化方法,通过实例进行计算和仿真分析,结果验证了论文提出方案的正确性和有效性。
The transformer is one of the main equipments in the electricity industry. It also consume energy during the transmission of electrical energy. The transformer loss is the largest in the entire power loss in our country, which accounts for more than60%of the total power loss. Lots of distribution transformers are used in the low-voltage distribution network, which make the power loss of distribution transformers occupy30%i n the total transformers power loss. Therefore, developing and spreading the efficient energy-saving transformer become the main work in the field of energy saving in electric power system.
The rural loads in our country have such characteristics, for instance electric centralized, seasonal load changing greatly, obvious difference between peak and valley and the low annual average load rate. Therefore, it is difficult to choose the proper capacity of distribution transformers. If the capacity of distribution transformers is chosen according to the average load or minimum load, then, it will emerge serious overload phenomenon in the peak of power consuming; If the capacity of distribution transformers is chosen according to maximum load, then, the transformer can not be fully operational in long time,and caused a lot of waste of electric energy. Based on these, the regulating capacitive transformer will not only make it run with the economic state under low load, but also make sure the transformer can supply enough power energy during the peak of consuming. Finally, it can reduce the comprehensive energy consumption of transformer. Therefore, researching regulating capacity technology of distribution transformer is of great realistic significance.
According to the characteristics of China's rural distribution network, and aiming at the shortcomings of no-load regulating capacity distribution transformers and mechanical on-load regulating capacity distribution transformers, this paper studies distribution transformer on-load automatic regulating capacity technology without arc.
Based on the regulating capacity principle and loss reduction and energy saving principle, it proposes a kind of selection strategy of critical economic capacity for distribution transformer on-load automatic regulating capacity technology without arc. The method is selected based on the economic operation and calculates the critical economic capacity.Based on this, it analyses the relationship between the active power loss rate and the load rate of the on-load regulating capacity distribution transformers. Meanwhile, this paper takes the example of SZ11-M-T315(100) and S11distribution transformers, and compares the efficiency characteristics. In this paper, Calculating and analysising the dynamic loss of the on-load regulating capacity distribution transformers and the single capacity distribution transformer based on the daliy and monthly load curve, the results show that the regulating transformer has an obvious power saving effect.
Based on the defects and shortcomings of existing regulating capacity transformer, the paper proposes the overall arcless on-load automatic capacity regulation design and regulating capacity switch arrangement.By calculating the withstand voltage and conduction current, it proves the feasibility about the issue which was proposed above that the thyristor is used as the regulating capacitive switch. Based on the introduction of thyristor working principle, characteristics and related parameters, the paper calculates the numbers of the thyristors series in thyristor valve group,and circuit parameters of dynamic and static average voltage.
This paper proposes a kind of arcless automatically regulating distribution capacity control strategy. This control strategy bases on online load and the load prediction from grey load forecasting model, takes the actual data from a single-shift system as real examples, then regulates the capacity using the control strategy, which avoid the malpractice that causes by the regulating capacitive switch changes frequently. Build a simulation model for arcless on-load automatic capacity regulation distribution transformer under the MATLAB/SIMULINK,and simulation analysis the arcless on-load automatic capacity regulation distribution transformer to some single-shift enterprise, test and verify the validity and practicability of this control strategy.
This paper researchs and designs the control system of arcless on-load automatic capacity regulation distribution transformer. The system captures the voltage and current data from low-voltage side of the transformer through a three-phase power metering chip ATT7022B, which generates a online load. The master chip ATmegal28sends corresponding control command. MOC3061low voltage side thyristor trigger circuit triggers the regulating capacitive switch which is corresponding to the low voltage side of the arcless on-load automatic capacity regulation distribution transformer, meanwhile, thyristor valve photoelectric trigger and online monitoring together triggers and monitors corresponding thyristor valve group of the high-voltage side of the transformer.
According to the different kinds of optimization methods of arcless on-load automatic capacity regulation distribution transformer, this paper analyzes the caculation and simulation.
The results show the scheme that is introduced in the paper is correct and effective.
引文
1 白光亚.2004.光触发晶闸管换流蒯技术及其应用.高电压技术,30(11)：55-59.
2 蔡佳宏,刘俊勇.2006.超短期负荷预测中相似日的选择方法.华北电力大学学报,33(1):38-41.
3 陈玉国.1998a.调容配电变压器容量比及节能性的探讨.中国农村电气化学术文集(1978-1998)：296-299
4 陈玉国.1998b.调容配电变压器的原理与性能分析.变压器.35(1)：24-25.
5 陈玉国.侯世勇,张枚春,张永胜,张继兰.2001.D-Y变换的调容配电变压器技术.电工技术,(1)：39-41.
6 陈玉国,马效坤,崔建江.2003.S11调容变压器.农村电气化,(7)：5-6.
7 陈玉国,余向杰.2006.调容变压器技术及其发展.农村电气化,7(6)：107.
8 崔航,王冕,罗贵明等.2009.基于扩展时序距离法和自适应控制的超短期负荷预测.电力系统自动化,33(15)：38-42..
9 丁怡,卢建刚,钱玉姝等.2004.一种实用的超短期负荷预测曲线外推方法.电力系统自动化,28(16)：83-85.
10范闻博,许保平.2008.大容量有载自动调容变压器在低压配电网中的应用.国家电网报,2008-5-1第007版
11 范闻博,韩筛根.2011.有载调容变压器安全经济运行控制策略.电力系统自动化,35(18)：98-102.
12 高明,李芳竹,梁杰.2008.基于灰色理论的中长期负荷预测.吉林电力,36(4)：22-24.
13郭琦,孙春安,李东伦.2008.调容变压器在10kV配电网中的应用.东北电力技术,(3)：12-15.
14国家发展和改革委员会/世界银行/全球基金-中国节能促进项日办公室.2006.中国合同能源管理节能案例,北京：中国经济出版社
15黄俊杰,李晓明.2003.电力电子有载调压装置的控制系统设计.电力自动化设备,23(7)：54-57.
16黄舜,李胜,徐永海等.2006.静止无功补偿器光电触发与监测系统设计与仿真.现代电力,23(1)：32-34.
17黄连生,傅鹏,王林森等.2007.光纤通讯技术在晶闸管触发系统中的应用.电力电子技术,41(11)：44-46.
18黄志芳,牟龙华.2009.基于dsPIC的智能无触点开关控制器设计.高压电气,45(2)：99-101.
19胡景生.2007.变压器能效与节电技术,北京：机械工业出版社
20韩力,韩学山,负志皓等.2007.多节点超短期负荷预测方法.1电力系统自动化,31(21)：30-34.
21 贺之渊,邓占峰,查鲲鹏等.2005.采用击穿二极管触发晶闸管的过电流试验装置的新型过电压保护方式.电网技术,29(24)：5-9.
22贺之渊,汤广福,邓占峰等.2007.TSC高压晶闸管阀过电流失效机理.电力系统自动化,31(13)：23-28.
23华成英,童诗白.2006.模拟电子技术基础(第四版).北京：高等教育出版社.
24郝勇,吕宏水,许其晶.2007.晶闸管换相过电压的MATLAB仿真.水电厂自动化,(4)：195-204.
25郝浩,李宏.2009.基于单片机的晶闸管触发器的设计.电子设计工程,17(2)：62-66.
26靳翠香.2005.S11调容变压器的结构特点及技术经济怀.宁夏电力,增刊：89-91.
27康重庆,夏清,张伯明.2004.电力系统负荷预测研究综述与发展方向的探讨.电力系统自动化,28(17)：1-11.
28 李作民.2009.配电变压器的损耗及其降损措施.中国新技术产晶,(18)：123-124.
29李钷,李敏,刘涤尘.2006.基于改进回归法的电力负荷预测.电网技术,30(1)：99-104.
30李庆领,陈志豪.2006.S11调容变压器推广及发展的设想.河南电力,(3)：32-33.
31 李晓慧,赵斌,李颖华.2010.有载调容配电变压器的瞬时过电压过电流分析.高压电器,46(10)：32-35.
32李晓慧,常文平,李吉浩.2010.配电变压器的有载调容设计.变压器,47(11)：5-10.
33李晓明,黄俊杰,尹项根等.2003.平滑无冲击电力电子有载调压装置.电力系统自动化,27(10)：45-48.
34李海燕,陈允平,刘会金.2003.10KV电网晶闸管投切电容器的研究.南昌大学学报(工科版),25(3)：60-63.
35林树棪.2009.配电变压器的节能测算.建筑电气,128(9)：21-29.
36厉吉文,张明军,安建强.1999.变压器有载自动调压控制系统.电力自动化设备,19(4)：31-33
37刘蜀宁,张代润,黄念慈.2001.晶闸管换流过程产生的瞬态电压及其保护.四川大学学报,33(4)：116-119.
38刘立伟,黄文霞.2003.晶闸管电路与触发电路的相互影响.信阳师范学院学报,16(1)：23-26.
39刘会金.2001.电容器并补大功率晶闸管阀的研究.电力系统及其自动化学报,13(1)：31-34.
40刘飞,卢志良,刘燕等.2007.用于TCR的晶闸管光电触发与监测系统.高电压技术,33(6)：123-128.
41刘伟,段玉波,姜建国等.2001.油田有载调容变压器节能控制系统的开发.自动化技术与应用,22(1)：26-29.
42刘鹏,申宁,杨利娜.2008.串联晶闸管阀触发方式分析与研究.电力电子,56(2)：42-44.
43路铁,王民昆.2006.基于短期负荷预测的超短期负荷预测曲线外推方法.电力系统自动化,30(16)：102-104.
44 骆平,刘清澄.2003.无弧切换的有载调压变压器.中国电力,(36)：21-23
45蓝元良,汤广福,张皎等.2000.BOD在晶闸管过电压保护中的应用研究.电工电能技术,(3)：51-54.
46马振军2002.HVDC闸管换流阀中晶闸管反向恢复期保护电路的儿个问题的探讨.高压电器,38(4)：8-9.
47茅建华.2005.非晶合金变压器节能经济效益分析.上海电力学院学报,21(2)：177-180.
48莫维仁,张伯明,孙宏斌.2003.扩展短期负荷预测的原理和方法.中国电机工程学报,23(3)：1-4.
49牛东晓,曹树华,赵磊等.1998.电力负荷预测技术及其应用.北京：中国电力出版社.
50倪晶,徐建峰,于寿馨.2003.固体继电器在有载调压配电变压器中的应用.农机化研究.(3)：151-153.
51宁凤辉,赵中原,邱毓吕.2003.三峡至常州±500KV高压直流输电用晶闸管阀技术特点.高压电器,39(4)：62-63.
52朴在林,王冬冬,郑钰.2011.配电变压器有载无弧自动调容仿真分析.农业工程学报,27(2)：224-229.
53任孟干.2002.高压阀光电触发与在线监测系统的应用研究.北京：中国电力科学研究院.
54单晓红,曾令通,王亚忠.2009.节能型变压器节能运行方式的探讨.电力系统保护与控制,37(8)：104-106.
55单晓红,钟月梅,王亚忠.2009.配电变压器经济运行区间和经济容量的选择.广西电力,(2)：38-39.
56佘楚云,王承民,连鸿波.2009.计及设备寿命折损的配电变压器经济运行方式效用分析.1电力系统自动化,33(15)：47-50.
57孙辉.1997.基于灰色系统理论的中长期电力负荷预测新方法.东北电力技术,(1)：11-14.
58 孙成宝,金哲.2005.现代节电技术与节电工程,北京：中国水利水电出版社.
59孙海军,郭慧.2002.油田专用有载调容变压器原理与性能分析.变压器,39(11)：58.
60宋建秀,王婷,刘憾宇.2009.基于高压阀的晶闸管光电触发与在线监控系统.大功率变流技术,(3)：6--9.
61 汤广福,贺之渊,邓占峰等.2006.基于器件物理特性的晶闸管阀串联机制系统化研究.中国电机工程学报,26(12)：39-44.
62 田以霖,2006.农村配电变压器容量的选择与经济效益分析.中国农村水电及电气化,(4)：51-56.
63童路,陈赤汉,谢门喜.2011.静止无功补偿器中的晶闸管阀组设计.电力电容器与无功补偿,32(1)：33-37.
64童诗白,1981.模拟电子技术基础,北京：人民教育出版社
65汪峰,谢开,于尔铿等.1996.一种简单实用的超短期负荷预报方法.电网技术,20(3)：41-43,48.
66王葆华,陈密,高强等.2009.一种晶闸管阀组高压侧触发能量耦合获取单元.电力电子技术,43(1)：46-48.
67王殿俊,阳建林.2011.基于ATMEL89S52单片机的三相晶闸管触发电路的设计.机电元件,31(3)：3-6.
68王金丽,王星,徐腊元.2005.电容变压器的研制.电力系统自动化,29(22)：91-93.
69王金丽.2009.有载调容变压器综合经济分析及应用研究.高压电器,45(3)：32-35.
70王金丽.2009.调容变压器仿真分析.变压器,46(7)：19-23.
71王福兴.1997.新型有载无弧分接开关研制的可能性.电网技术,21(7)：54-58.
72王红,杨俊莲.2000.反并联晶闸管触发方法的改进.沈阳工业大学学报,22(3)255-257.
73王兆安,黄俊.2008电力电子技术(第四版),北京：机械工业出版社
74王志凤,王作军,姚伟等.2009.浅谈有载调容变压器在农网中的应用.电气工程应用,(3)：45-47.
75王志风,王作军,姚伟.2009.有载调容变压器在农村电网中的应用.供用电,26(5)：50-52
76王冬冬,朴在林,赵立邺,郑钰.2010.有载自动调容配电变压器及其降损节能效益分析.农业工程学报,26(S2)：135-140.
77翁薇,朱志杰,陈俊杰等.2009.基于ATmega128和ATT7022B的低压无功补偿控制器的设计.低压电器,21：30-33.
78卫志农,常宝立,汪方中,等.2006.地区电网变压器经济运行实时控制系统.电力系统自动化,30(1)：86-88.
79吴畏.2004.晶闸管有载分接开关.高压电器.40(1)：48-49,52.
80万凯,刘会金.2002.晶闸管辅助机械开关有载无弧调压技术.继电器,30(11)：5-9.
81吴大明,谢小竹,彭彬编著.2004. MATLAB电力系统设计与分析,北京：国防工业出版社
82徐广龙.2007.可控硅过零触发电路.科技资讯,7：255.
83闫冬,赵建国.2001.一种实用化的配电网超短期负荷预测方法.电力系统自动化,25(22)：45-48.
84延汇文,邱阿瑞,刘玉伟.2003.晶闸管的光纤触发技术.电力电子技术,37(6)：86-87.
85袁明友.2002.基于灰色理论的供电系统负荷中长期预测模型及其应用.四川大学学报,(4)：121-123.
86袁新娣.2008.基于FPGA的晶闸管过零触发调功电路设计.微计算机信息,24(10-2)：311-312.
87姚志松,姚磊.2006.新型配电变压器结构、原理和应用,北京：机械工业出版社.
88杨争林,唐国庆,宋燕敏等.2005.改进的基于聚类分析的超短期负荷预测方法.电力系统自动化,29(24)：83-86.
89杨杰.2000.29KV高压晶闸管阀触发系统隔离技术和晶闸管过电压保护方法.机车电传动,(2)： 23-26.
90查鲲鹏,汤广福,温家良等.2006.晶闸管阀运行试验的过电压保护控制策略.电力电子技术,40(3)：107-109.
91 昃萌,廖敏.2010.故障电流限制器的晶闸管阀触发与监测系统.电工技术学报,25(10)：191-196.
92郑国培,刘忠,陈星.2005.SH15型非晶合金铁心配电变压器的技术经济分析.变压器,42(6)：1-5.
93周晓,黄文艳,徐建超.2010.新型配电变压器的节能分析与应用探讨.电器制造,(5)：66-68.
94周会高,许钒,黄超等2005. PSCAD在晶闸管取能同路分析中的应用.高压电器,20(4)：20-22.
95 周忠信,陈郭力,王文光.2009.农村电网自动调容技术探讨.农村电气化,(3)：41-43.
96邹刚,陈祥训,郑健超,等.1999.用于电力电子系统暂态过程分析的晶闸管宏模型.中国电机工程学报,19(6)：1-5.
97赵中原,吕征宁,金高先等,2004.固态限流器晶闸管多路隔离驱动触发系统研制.高电压技术,30(4)：46-48.
98赵刚,施围.2004.有载无弧分接开关的研究.高电压技术,30(4)：49-51.
99朱晓峰,朱晓锦.2005.基于灰色系统理论的供电量预测方法与分析.南通大学学报,4(3)：32-36.
100朱常青,王秀和,张鑫等.2006.基于灰关联加权组合模型的电力负荷预测研究.电力系统及其自动化学报,18(2)：79-81.
101张锋,吴劲晖,张怡等.2004.基于负荷趋势的新型超短期负荷预测法.电网技术,28(19)：64-67.
102张斌.2003.高压晶闸管阀在牵引供电网自动过分相中的应用研究.长沙：湖南大学.
103张红旭,姚建刚,曹伟.2009.基于改进灰色模型的超短期负荷预测.电力系统及其自动化学报.21(6)：74-77.
104张品秀,梁春英,赵斌.2010.基于晶闸管反并联的有载分接开关的设计.煤炭技术,29(1)：195-197.
105张思远,何光宇,梅生伟等.2008.基于相似时间序列检索的超短期负荷预测.电网技术,32(12)：56-59.
106张志涌.2003.精通MATLAB6.5版.北京：北京航空航天大学出版.
107 A.Y.Ahmed, S.I.Al-Mously.2001. Sensitivity improvement of the digital differential relay for internal ground fault protection in the power transformer with tap changer.Power Tech Proceedings, IEEE porto, Sept.10-13,Proto Portugal,vol.4, Sept:10-13
108 Aridam.Ghosh Gerard Ledwich A Unified Power Quality Conditioner for Simultaneous Voltage Compensation.Electric Power System Research,59 (1):55-63
109 Calinan F D,Conejo A J,Kockar I.2002.Incremental transmission loss allocation under pool dispatch.IEEE Trans on Power Syst,17(1):26-33
110 Cone jo A J, Arroyo J M, Alguacil N et al.2002.Transmission Loss allocation a comparison of different practical algorithms.IEEE Transon Power Syst,17(3):571-576
111 Deng Julong, Xiao Xinping.2001. A new modified GM(1,1) model:grey optimization model. Journal of Systems Engineering and Electronics,(2):1-8.
112 Dusan Raonic, Dave Mac Lennan, Didier Rouand.1997. Some experience with scr's self powered gate driver system for medium volfage solid state starter. IEEE CCECE'97.
113 D. J. Trudnowski et al.2001. Real-time very short-tenn load prediction for power-system automatic generation control. IEEE Trans. Control Syst. Technol,9(2):254-260.
114 Dipti Srinivasan,Swee Sien Tan, C.S.Chang.2006. Parallel neural network-fuzzy expert system stratrgy for short-term load forecasting:system implementation and performance evaluation. IEEE trans on Power System,114(3)/;1100-1106.
115 Fujita H,Akagi H.The Unified Power Quality Conditioner:The Integration of Series and Shunt-Active Filters. IEEE trans on Power Electronic,13(2):315-322
116 Frank Peter.2002. Firing Series SCR at Medium Voltage:Understanding the Topologies Ensures the Optimum Gate Drive Selection. Power System World Conference,601-613.
117 H. Mori and A. Yuihara,2001. Deterministic annealing clustering for ANN-based short-term load forecasting. IEEE Trans. Power Syst.16(3):545-551.
118 H.M.Lawatsch, J.Vitins.1988. Protection of Thyristors Against Overvoltage with Break over Diodes. IEEE Trans on Ind. Applications,24(3):444-448
119 H.Hippert, C.Pedreira, and R.Souza.2001. Neural networks for short-term load forecasting A review and evaluation. IEEE Trans. Power Syst,16(1):44-55.
120 Hiroshi Kashiwazaki, Shingo Odai, Nobutake Konishi.1985. Development of Light-Triggered Thyristor Valves. Hitachi Review,34(5):241-246
121 Hsu C T, Tzeng Y M, Chen C Z el al.1995. Distribution Feeder Loss Analysis by using an Artficial neural Network. Electric Power Systems Research,34(2):85-90
122 J H Harlow, F A Stich.1982. An arcless approach to step-voltage regulation. IEEE PAS. 101(7):2096-2102
123 Jurg Waldmeyer, Bjorn Backlund.2001. Design of RC Snubbers for Phase Control Applications, ABB
124 J.Fan and J.McDonald.1994. A real-time implementation of short-term load forcasting for distribution power system. IEEE Trans. Power Syst.9(2):988-994.
125 Kandil MS, Hasanien N E.2002. Long-term load forecasting for fast developing utility using a wnowledge based expert system. IEEE Trans on Power Systems,17(2):491-496.
126 K.B.Song, Y.S.Back, D.H.Hong, and GJang.2005. Short-Term load forecasting for the holidays using fuzzy linear regression methed. IEEE Trans. Power Syst.20(1):96-101.
127 K.B.Song, et al.2005. Short-term load forecasting for the holidays using fuzzy linear regression method. IEEE Trans. Power Syst.20(1):96-101.
128 K.B.Song, et al.2006. Hybird load forecasting method with analysis of temperature sensitivities. IEEE Trans. Power Syst.21(2):869-876.
129 K.H.Kim, H.S.Youn, and Y.C.Kang.2000. Short-term load forecasting for special days in anomalous load conditions using neural networks and fuzzy inference method. IEEE Trans. Power Syst.15(2):559-565.
130 K.J.Hwang and G.W.Kim.2001. A short-term load forecasting expert system. IEEE Inr.Symp,(l):112-116.
131 LIU K, SUBBARAYANS.SHOULTS R, et al.1996. Comparison of very short-term load forecasting techniques. IEEE Trans on Power System,11(2):877-882.
132 Lip H P, Pauli M.1998. Gating system for high voltage thyristor valves. IEEE Trans on PWRD, 3(3):978-983.
133 LO K M, ZHANG D C.2000. Stochastic adaptive one step ahead optimal controllers based on input matching. IEEE Trans on Automatic Control,45(5):980-983.
134 LO K M, KIMURA H.2004. Optimal adaptive controller for systems with delay. International Journal of Adaptive Control and Signal Processing,18(9/10):799-819.
135 M.S.Kandil, S.M.Debeiky, N.E.Hasanien.2001. Overiview and comparison long-term forecasting techniques for fast developing utility. Electric Power Systems Research,58(1):11-17
136 N.Sapankevych and R.Sankar.2009. Time series predicitiong using support vector machines:A survey. IEEE.Comput.Intell.Mag,4(2):24-38.
137 Peter Lips H.1998. Technology trends for HVDC thyristor valves. IEEE POWERCON'98.
138 Phase Control Thyristor.2003. ABB Switzerland Ltd Semiconductors
139 Rajiv C G, Shoba S, Nirmala Simon, et al.2001.Triggering and monitoring system for thyristor valves for hvdc applications. IEEE PESC. Aancouver BC.
140 Rahul S.Chokhawala, Eric I.Corroll.1991. A Snubber Design Tool for P-N Junction Recovery Using a More Accurate Simulation of the Reverse Recovery Waveform. IEEE Trans on Ind. Applications, 27(1):74-78
141 S. Fan and L.Chen.2006. Short-term load forecasting based on an adaptive hybrid methed. IEEE Trans. Power Syst.21(1):392-401.
142 Sfetsos A.2003. Short-term load forecasting with a hybrid clustering algorithm. IEEE Proceedings-Communicatings,150(3)/;257-262.
143 Stephane Mallat, Sifen Zhong.1992. Characterization of signals from multiscale edges. IEEE transactions on Pattern Analysis and Machine Intelligence,14(7):710-732
144 T.Nikolaidis and C.Papadas.2003. SCR ESD protection with reduced trigger voltage. Electronics Letters,39(7):608-609.
145 Topalli A K, Erkmen I.2003. Ahybird learning for neural networks applied to short-term load forecasting. Neuro computing,51(7):495-500.
146 T. Senjyu, H. Takara, and T. Funabashi.2002. One-hour-ahead load forecasting using neural network. IEEE Trans. Power Syst.17(1):113-118.
147 T. Senjyu et al.2005. Next day load curve forecasting using hybrid correction method. IEEE Trans. Power Syst.20(1):102-109.
148 W.Charytoniuk, M.S.Chen, and P.V.O.Olinda.1998. Nonparametric regession based short-term load forecasting. IEEE Transformer. Power Syst,13(3):725-730.
149 Y Liang, V J Gosbell.1990. Diode forward and reverse recovery model for power electronic SPICE simulation. IEEE Transactions on Electron Devices,5(2):346-356.
150 Ying Chen, Peter B.luh.2010. Short-Tenn Load Forecasting:Similar Day-Based Wavelet Neural Networks. IEEE Transformer. Power Syst,25(1):322-329.
151 Young-Min Wi, Sung-K wan Joo, and Kyung-Bin Song.2012. Holiday Load Forecasting Using Fuzzy Polynomial Regression With Weather Feature Selection and Adjustment. IEEE Trans. Power Syst. 27(2):596-603.
152 Zailin Piao, Dongdong Wang, Yu Zheng.2010. Discussion on Arcless On-load Automatic Capacity Regulating Distribution Transformer. Power and Energy Engineeriing Cofference (PEEC 2010):323-326
153 Z.A.Vale, H.Morais, H.Khodr et al.2010. Technical and economic resources management in smart girds using heuristic optimization methods. IEEE Power and Energy,1-7.
154 Zhu Guorong, Li Minzu, Liu Xiaodong and Wang Tingting.2002. Voltage Regulation Method in Series Thyristor of Distribution Transformer,1001-8425
2 蔡佳宏,刘俊勇.2006.超短期负荷预测中相似日的选择方法.华北电力大学学报,33(1):38-41.
3 陈玉国.1998a.调容配电变压器容量比及节能性的探讨.中国农村电气化学术文集(1978-1998)：296-299
4 陈玉国.1998b.调容配电变压器的原理与性能分析.变压器.35(1)：24-25.
5 陈玉国.侯世勇,张枚春,张永胜,张继兰.2001.D-Y变换的调容配电变压器技术.电工技术,(1)：39-41.
6 陈玉国,马效坤,崔建江.2003.S11调容变压器.农村电气化,(7)：5-6.
7 陈玉国,余向杰.2006.调容变压器技术及其发展.农村电气化,7(6)：107.
8 崔航,王冕,罗贵明等.2009.基于扩展时序距离法和自适应控制的超短期负荷预测.电力系统自动化,33(15)：38-42..
9 丁怡,卢建刚,钱玉姝等.2004.一种实用的超短期负荷预测曲线外推方法.电力系统自动化,28(16)：83-85.
10范闻博,许保平.2008.大容量有载自动调容变压器在低压配电网中的应用.国家电网报,2008-5-1第007版
11 范闻博,韩筛根.2011.有载调容变压器安全经济运行控制策略.电力系统自动化,35(18)：98-102.
12 高明,李芳竹,梁杰.2008.基于灰色理论的中长期负荷预测.吉林电力,36(4)：22-24.
13郭琦,孙春安,李东伦.2008.调容变压器在10kV配电网中的应用.东北电力技术,(3)：12-15.
14国家发展和改革委员会/世界银行/全球基金-中国节能促进项日办公室.2006.中国合同能源管理节能案例,北京：中国经济出版社
15黄俊杰,李晓明.2003.电力电子有载调压装置的控制系统设计.电力自动化设备,23(7)：54-57.
16黄舜,李胜,徐永海等.2006.静止无功补偿器光电触发与监测系统设计与仿真.现代电力,23(1)：32-34.
17黄连生,傅鹏,王林森等.2007.光纤通讯技术在晶闸管触发系统中的应用.电力电子技术,41(11)：44-46.
18黄志芳,牟龙华.2009.基于dsPIC的智能无触点开关控制器设计.高压电气,45(2)：99-101.
19胡景生.2007.变压器能效与节电技术,北京：机械工业出版社
20韩力,韩学山,负志皓等.2007.多节点超短期负荷预测方法.1电力系统自动化,31(21)：30-34.
21 贺之渊,邓占峰,查鲲鹏等.2005.采用击穿二极管触发晶闸管的过电流试验装置的新型过电压保护方式.电网技术,29(24)：5-9.
22贺之渊,汤广福,邓占峰等.2007.TSC高压晶闸管阀过电流失效机理.电力系统自动化,31(13)：23-28.
23华成英,童诗白.2006.模拟电子技术基础(第四版).北京：高等教育出版社.
24郝勇,吕宏水,许其晶.2007.晶闸管换相过电压的MATLAB仿真.水电厂自动化,(4)：195-204.
25郝浩,李宏.2009.基于单片机的晶闸管触发器的设计.电子设计工程,17(2)：62-66.
26靳翠香.2005.S11调容变压器的结构特点及技术经济怀.宁夏电力,增刊：89-91.
27康重庆,夏清,张伯明.2004.电力系统负荷预测研究综述与发展方向的探讨.电力系统自动化,28(17)：1-11.
28 李作民.2009.配电变压器的损耗及其降损措施.中国新技术产晶,(18)：123-124.
29李钷,李敏,刘涤尘.2006.基于改进回归法的电力负荷预测.电网技术,30(1)：99-104.
30李庆领,陈志豪.2006.S11调容变压器推广及发展的设想.河南电力,(3)：32-33.
31 李晓慧,赵斌,李颖华.2010.有载调容配电变压器的瞬时过电压过电流分析.高压电器,46(10)：32-35.
32李晓慧,常文平,李吉浩.2010.配电变压器的有载调容设计.变压器,47(11)：5-10.
33李晓明,黄俊杰,尹项根等.2003.平滑无冲击电力电子有载调压装置.电力系统自动化,27(10)：45-48.
34李海燕,陈允平,刘会金.2003.10KV电网晶闸管投切电容器的研究.南昌大学学报(工科版),25(3)：60-63.
35林树棪.2009.配电变压器的节能测算.建筑电气,128(9)：21-29.
36厉吉文,张明军,安建强.1999.变压器有载自动调压控制系统.电力自动化设备,19(4)：31-33
37刘蜀宁,张代润,黄念慈.2001.晶闸管换流过程产生的瞬态电压及其保护.四川大学学报,33(4)：116-119.
38刘立伟,黄文霞.2003.晶闸管电路与触发电路的相互影响.信阳师范学院学报,16(1)：23-26.
39刘会金.2001.电容器并补大功率晶闸管阀的研究.电力系统及其自动化学报,13(1)：31-34.
40刘飞,卢志良,刘燕等.2007.用于TCR的晶闸管光电触发与监测系统.高电压技术,33(6)：123-128.
41刘伟,段玉波,姜建国等.2001.油田有载调容变压器节能控制系统的开发.自动化技术与应用,22(1)：26-29.
42刘鹏,申宁,杨利娜.2008.串联晶闸管阀触发方式分析与研究.电力电子,56(2)：42-44.
43路铁,王民昆.2006.基于短期负荷预测的超短期负荷预测曲线外推方法.电力系统自动化,30(16)：102-104.
44 骆平,刘清澄.2003.无弧切换的有载调压变压器.中国电力,(36)：21-23
45蓝元良,汤广福,张皎等.2000.BOD在晶闸管过电压保护中的应用研究.电工电能技术,(3)：51-54.
46马振军2002.HVDC闸管换流阀中晶闸管反向恢复期保护电路的儿个问题的探讨.高压电器,38(4)：8-9.
47茅建华.2005.非晶合金变压器节能经济效益分析.上海电力学院学报,21(2)：177-180.
48莫维仁,张伯明,孙宏斌.2003.扩展短期负荷预测的原理和方法.中国电机工程学报,23(3)：1-4.
49牛东晓,曹树华,赵磊等.1998.电力负荷预测技术及其应用.北京：中国电力出版社.
50倪晶,徐建峰,于寿馨.2003.固体继电器在有载调压配电变压器中的应用.农机化研究.(3)：151-153.
51宁凤辉,赵中原,邱毓吕.2003.三峡至常州±500KV高压直流输电用晶闸管阀技术特点.高压电器,39(4)：62-63.
52朴在林,王冬冬,郑钰.2011.配电变压器有载无弧自动调容仿真分析.农业工程学报,27(2)：224-229.
53任孟干.2002.高压阀光电触发与在线监测系统的应用研究.北京：中国电力科学研究院.
54单晓红,曾令通,王亚忠.2009.节能型变压器节能运行方式的探讨.电力系统保护与控制,37(8)：104-106.
55单晓红,钟月梅,王亚忠.2009.配电变压器经济运行区间和经济容量的选择.广西电力,(2)：38-39.
56佘楚云,王承民,连鸿波.2009.计及设备寿命折损的配电变压器经济运行方式效用分析.1电力系统自动化,33(15)：47-50.
57孙辉.1997.基于灰色系统理论的中长期电力负荷预测新方法.东北电力技术,(1)：11-14.
58 孙成宝,金哲.2005.现代节电技术与节电工程,北京：中国水利水电出版社.
59孙海军,郭慧.2002.油田专用有载调容变压器原理与性能分析.变压器,39(11)：58.
60宋建秀,王婷,刘憾宇.2009.基于高压阀的晶闸管光电触发与在线监控系统.大功率变流技术,(3)：6--9.
61 汤广福,贺之渊,邓占峰等.2006.基于器件物理特性的晶闸管阀串联机制系统化研究.中国电机工程学报,26(12)：39-44.
62 田以霖,2006.农村配电变压器容量的选择与经济效益分析.中国农村水电及电气化,(4)：51-56.
63童路,陈赤汉,谢门喜.2011.静止无功补偿器中的晶闸管阀组设计.电力电容器与无功补偿,32(1)：33-37.
64童诗白,1981.模拟电子技术基础,北京：人民教育出版社
65汪峰,谢开,于尔铿等.1996.一种简单实用的超短期负荷预报方法.电网技术,20(3)：41-43,48.
66王葆华,陈密,高强等.2009.一种晶闸管阀组高压侧触发能量耦合获取单元.电力电子技术,43(1)：46-48.
67王殿俊,阳建林.2011.基于ATMEL89S52单片机的三相晶闸管触发电路的设计.机电元件,31(3)：3-6.
68王金丽,王星,徐腊元.2005.电容变压器的研制.电力系统自动化,29(22)：91-93.
69王金丽.2009.有载调容变压器综合经济分析及应用研究.高压电器,45(3)：32-35.
70王金丽.2009.调容变压器仿真分析.变压器,46(7)：19-23.
71王福兴.1997.新型有载无弧分接开关研制的可能性.电网技术,21(7)：54-58.
72王红,杨俊莲.2000.反并联晶闸管触发方法的改进.沈阳工业大学学报,22(3)255-257.
73王兆安,黄俊.2008电力电子技术(第四版),北京：机械工业出版社
74王志凤,王作军,姚伟等.2009.浅谈有载调容变压器在农网中的应用.电气工程应用,(3)：45-47.
75王志风,王作军,姚伟.2009.有载调容变压器在农村电网中的应用.供用电,26(5)：50-52
76王冬冬,朴在林,赵立邺,郑钰.2010.有载自动调容配电变压器及其降损节能效益分析.农业工程学报,26(S2)：135-140.
77翁薇,朱志杰,陈俊杰等.2009.基于ATmega128和ATT7022B的低压无功补偿控制器的设计.低压电器,21：30-33.
78卫志农,常宝立,汪方中,等.2006.地区电网变压器经济运行实时控制系统.电力系统自动化,30(1)：86-88.
79吴畏.2004.晶闸管有载分接开关.高压电器.40(1)：48-49,52.
80万凯,刘会金.2002.晶闸管辅助机械开关有载无弧调压技术.继电器,30(11)：5-9.
81吴大明,谢小竹,彭彬编著.2004. MATLAB电力系统设计与分析,北京：国防工业出版社
82徐广龙.2007.可控硅过零触发电路.科技资讯,7：255.
83闫冬,赵建国.2001.一种实用化的配电网超短期负荷预测方法.电力系统自动化,25(22)：45-48.
84延汇文,邱阿瑞,刘玉伟.2003.晶闸管的光纤触发技术.电力电子技术,37(6)：86-87.
85袁明友.2002.基于灰色理论的供电系统负荷中长期预测模型及其应用.四川大学学报,(4)：121-123.
86袁新娣.2008.基于FPGA的晶闸管过零触发调功电路设计.微计算机信息,24(10-2)：311-312.
87姚志松,姚磊.2006.新型配电变压器结构、原理和应用,北京：机械工业出版社.
88杨争林,唐国庆,宋燕敏等.2005.改进的基于聚类分析的超短期负荷预测方法.电力系统自动化,29(24)：83-86.
89杨杰.2000.29KV高压晶闸管阀触发系统隔离技术和晶闸管过电压保护方法.机车电传动,(2)： 23-26.
90查鲲鹏,汤广福,温家良等.2006.晶闸管阀运行试验的过电压保护控制策略.电力电子技术,40(3)：107-109.
91 昃萌,廖敏.2010.故障电流限制器的晶闸管阀触发与监测系统.电工技术学报,25(10)：191-196.
92郑国培,刘忠,陈星.2005.SH15型非晶合金铁心配电变压器的技术经济分析.变压器,42(6)：1-5.
93周晓,黄文艳,徐建超.2010.新型配电变压器的节能分析与应用探讨.电器制造,(5)：66-68.
94周会高,许钒,黄超等2005. PSCAD在晶闸管取能同路分析中的应用.高压电器,20(4)：20-22.
95 周忠信,陈郭力,王文光.2009.农村电网自动调容技术探讨.农村电气化,(3)：41-43.
96邹刚,陈祥训,郑健超,等.1999.用于电力电子系统暂态过程分析的晶闸管宏模型.中国电机工程学报,19(6)：1-5.
97赵中原,吕征宁,金高先等,2004.固态限流器晶闸管多路隔离驱动触发系统研制.高电压技术,30(4)：46-48.
98赵刚,施围.2004.有载无弧分接开关的研究.高电压技术,30(4)：49-51.
99朱晓峰,朱晓锦.2005.基于灰色系统理论的供电量预测方法与分析.南通大学学报,4(3)：32-36.
100朱常青,王秀和,张鑫等.2006.基于灰关联加权组合模型的电力负荷预测研究.电力系统及其自动化学报,18(2)：79-81.
101张锋,吴劲晖,张怡等.2004.基于负荷趋势的新型超短期负荷预测法.电网技术,28(19)：64-67.
102张斌.2003.高压晶闸管阀在牵引供电网自动过分相中的应用研究.长沙：湖南大学.
103张红旭,姚建刚,曹伟.2009.基于改进灰色模型的超短期负荷预测.电力系统及其自动化学报.21(6)：74-77.
104张品秀,梁春英,赵斌.2010.基于晶闸管反并联的有载分接开关的设计.煤炭技术,29(1)：195-197.
105张思远,何光宇,梅生伟等.2008.基于相似时间序列检索的超短期负荷预测.电网技术,32(12)：56-59.
106张志涌.2003.精通MATLAB6.5版.北京：北京航空航天大学出版.
107 A.Y.Ahmed, S.I.Al-Mously.2001. Sensitivity improvement of the digital differential relay for internal ground fault protection in the power transformer with tap changer.Power Tech Proceedings, IEEE porto, Sept.10-13,Proto Portugal,vol.4, Sept:10-13
108 Aridam.Ghosh Gerard Ledwich A Unified Power Quality Conditioner for Simultaneous Voltage Compensation.Electric Power System Research,59 (1):55-63
109 Calinan F D,Conejo A J,Kockar I.2002.Incremental transmission loss allocation under pool dispatch.IEEE Trans on Power Syst,17(1):26-33
110 Cone jo A J, Arroyo J M, Alguacil N et al.2002.Transmission Loss allocation a comparison of different practical algorithms.IEEE Transon Power Syst,17(3):571-576
111 Deng Julong, Xiao Xinping.2001. A new modified GM(1,1) model:grey optimization model. Journal of Systems Engineering and Electronics,(2):1-8.
112 Dusan Raonic, Dave Mac Lennan, Didier Rouand.1997. Some experience with scr's self powered gate driver system for medium volfage solid state starter. IEEE CCECE'97.
113 D. J. Trudnowski et al.2001. Real-time very short-tenn load prediction for power-system automatic generation control. IEEE Trans. Control Syst. Technol,9(2):254-260.
114 Dipti Srinivasan,Swee Sien Tan, C.S.Chang.2006. Parallel neural network-fuzzy expert system stratrgy for short-term load forecasting:system implementation and performance evaluation. IEEE trans on Power System,114(3)/;1100-1106.
115 Fujita H,Akagi H.The Unified Power Quality Conditioner:The Integration of Series and Shunt-Active Filters. IEEE trans on Power Electronic,13(2):315-322
116 Frank Peter.2002. Firing Series SCR at Medium Voltage:Understanding the Topologies Ensures the Optimum Gate Drive Selection. Power System World Conference,601-613.
117 H. Mori and A. Yuihara,2001. Deterministic annealing clustering for ANN-based short-term load forecasting. IEEE Trans. Power Syst.16(3):545-551.
118 H.M.Lawatsch, J.Vitins.1988. Protection of Thyristors Against Overvoltage with Break over Diodes. IEEE Trans on Ind. Applications,24(3):444-448
119 H.Hippert, C.Pedreira, and R.Souza.2001. Neural networks for short-term load forecasting A review and evaluation. IEEE Trans. Power Syst,16(1):44-55.
120 Hiroshi Kashiwazaki, Shingo Odai, Nobutake Konishi.1985. Development of Light-Triggered Thyristor Valves. Hitachi Review,34(5):241-246
121 Hsu C T, Tzeng Y M, Chen C Z el al.1995. Distribution Feeder Loss Analysis by using an Artficial neural Network. Electric Power Systems Research,34(2):85-90
122 J H Harlow, F A Stich.1982. An arcless approach to step-voltage regulation. IEEE PAS. 101(7):2096-2102
123 Jurg Waldmeyer, Bjorn Backlund.2001. Design of RC Snubbers for Phase Control Applications, ABB
124 J.Fan and J.McDonald.1994. A real-time implementation of short-term load forcasting for distribution power system. IEEE Trans. Power Syst.9(2):988-994.
125 Kandil MS, Hasanien N E.2002. Long-term load forecasting for fast developing utility using a wnowledge based expert system. IEEE Trans on Power Systems,17(2):491-496.
126 K.B.Song, Y.S.Back, D.H.Hong, and GJang.2005. Short-Term load forecasting for the holidays using fuzzy linear regression methed. IEEE Trans. Power Syst.20(1):96-101.
127 K.B.Song, et al.2005. Short-term load forecasting for the holidays using fuzzy linear regression method. IEEE Trans. Power Syst.20(1):96-101.
128 K.B.Song, et al.2006. Hybird load forecasting method with analysis of temperature sensitivities. IEEE Trans. Power Syst.21(2):869-876.
129 K.H.Kim, H.S.Youn, and Y.C.Kang.2000. Short-term load forecasting for special days in anomalous load conditions using neural networks and fuzzy inference method. IEEE Trans. Power Syst.15(2):559-565.
130 K.J.Hwang and G.W.Kim.2001. A short-term load forecasting expert system. IEEE Inr.Symp,(l):112-116.
131 LIU K, SUBBARAYANS.SHOULTS R, et al.1996. Comparison of very short-term load forecasting techniques. IEEE Trans on Power System,11(2):877-882.
132 Lip H P, Pauli M.1998. Gating system for high voltage thyristor valves. IEEE Trans on PWRD, 3(3):978-983.
133 LO K M, ZHANG D C.2000. Stochastic adaptive one step ahead optimal controllers based on input matching. IEEE Trans on Automatic Control,45(5):980-983.
134 LO K M, KIMURA H.2004. Optimal adaptive controller for systems with delay. International Journal of Adaptive Control and Signal Processing,18(9/10):799-819.
135 M.S.Kandil, S.M.Debeiky, N.E.Hasanien.2001. Overiview and comparison long-term forecasting techniques for fast developing utility. Electric Power Systems Research,58(1):11-17
136 N.Sapankevych and R.Sankar.2009. Time series predicitiong using support vector machines:A survey. IEEE.Comput.Intell.Mag,4(2):24-38.
137 Peter Lips H.1998. Technology trends for HVDC thyristor valves. IEEE POWERCON'98.
138 Phase Control Thyristor.2003. ABB Switzerland Ltd Semiconductors
139 Rajiv C G, Shoba S, Nirmala Simon, et al.2001.Triggering and monitoring system for thyristor valves for hvdc applications. IEEE PESC. Aancouver BC.
140 Rahul S.Chokhawala, Eric I.Corroll.1991. A Snubber Design Tool for P-N Junction Recovery Using a More Accurate Simulation of the Reverse Recovery Waveform. IEEE Trans on Ind. Applications, 27(1):74-78
141 S. Fan and L.Chen.2006. Short-term load forecasting based on an adaptive hybrid methed. IEEE Trans. Power Syst.21(1):392-401.
142 Sfetsos A.2003. Short-term load forecasting with a hybrid clustering algorithm. IEEE Proceedings-Communicatings,150(3)/;257-262.
143 Stephane Mallat, Sifen Zhong.1992. Characterization of signals from multiscale edges. IEEE transactions on Pattern Analysis and Machine Intelligence,14(7):710-732
144 T.Nikolaidis and C.Papadas.2003. SCR ESD protection with reduced trigger voltage. Electronics Letters,39(7):608-609.
145 Topalli A K, Erkmen I.2003. Ahybird learning for neural networks applied to short-term load forecasting. Neuro computing,51(7):495-500.
146 T. Senjyu, H. Takara, and T. Funabashi.2002. One-hour-ahead load forecasting using neural network. IEEE Trans. Power Syst.17(1):113-118.
147 T. Senjyu et al.2005. Next day load curve forecasting using hybrid correction method. IEEE Trans. Power Syst.20(1):102-109.
148 W.Charytoniuk, M.S.Chen, and P.V.O.Olinda.1998. Nonparametric regession based short-term load forecasting. IEEE Transformer. Power Syst,13(3):725-730.
149 Y Liang, V J Gosbell.1990. Diode forward and reverse recovery model for power electronic SPICE simulation. IEEE Transactions on Electron Devices,5(2):346-356.
150 Ying Chen, Peter B.luh.2010. Short-Tenn Load Forecasting:Similar Day-Based Wavelet Neural Networks. IEEE Transformer. Power Syst,25(1):322-329.
151 Young-Min Wi, Sung-K wan Joo, and Kyung-Bin Song.2012. Holiday Load Forecasting Using Fuzzy Polynomial Regression With Weather Feature Selection and Adjustment. IEEE Trans. Power Syst. 27(2):596-603.
152 Zailin Piao, Dongdong Wang, Yu Zheng.2010. Discussion on Arcless On-load Automatic Capacity Regulating Distribution Transformer. Power and Energy Engineeriing Cofference (PEEC 2010):323-326
153 Z.A.Vale, H.Morais, H.Khodr et al.2010. Technical and economic resources management in smart girds using heuristic optimization methods. IEEE Power and Energy,1-7.
154 Zhu Guorong, Li Minzu, Liu Xiaodong and Wang Tingting.2002. Voltage Regulation Method in Series Thyristor of Distribution Transformer,1001-8425