智能配电网自愈控制技术发展与展望
|
摘要
大规模分布式电源、柔性负荷、用户互动负荷等接入占比不断增加,配电网运行方式日趋复杂多变,分布式电源出力的随机性、波动性以及电动汽车等多元化负荷时空不确定性,为智能配电网实现自愈控制带来新挑战。微型同步相量测量技术在配电网中的应用,增强了其可观测性和精准数据支撑能力。文章基于国内外研究现状,分析了智能配电网自愈控制实际需求,明确了基于同步相量量测的快速感知、精准协调控制等新支撑技术与实现方法,设计了新技术支撑下智能配电网自愈控制架构,再结合大数据、云计算、物联网、移动互联以及人工智能等先进技术的应用,能够实现多类型、弱特征故障的准确检测和精确定位,挖掘分布式电源可调控潜力及供电支撑作用,提升智能配电网安全可靠和经济高效运行水平。
The increasingly accessed ratio of the large-scale distributed power supply,flexible load and user interaction load,the complex operation mode of the distribution,the randomness,volatility of distributed power supply and the time and space uncertainty of the diversified loads such as electric vehicles,bring new challenges to the realization of self-healing control in smart distribution network.The application of μPMU in the distribution network enhances its observability and accurate data support capability.Based on the research status at home and abroad,this paper analyzes the actual demand of self-healing control of smart distribution network,and clarifies new support technologies and implementation methods based on synchronous phasor measurement for fast sensing and precise coordinated control,and designs a self-healing control architecture in the smart distribution network under the support of new technology.Combined with the application of advanced technologies such as big data,cloud computing,Internet of Things,mobile internet and artificial intelligence,it can realize accurate detection and precise positioning of multiple types and weak feature faults,and exploit the adjustable potential and power supply supporting role of distributed generation to improve the safe,reliable and economical operation level of smart distribution network.
The increasingly accessed ratio of the large-scale distributed power supply,flexible load and user interaction load,the complex operation mode of the distribution,the randomness,volatility of distributed power supply and the time and space uncertainty of the diversified loads such as electric vehicles,bring new challenges to the realization of self-healing control in smart distribution network.The application of μPMU in the distribution network enhances its observability and accurate data support capability.Based on the research status at home and abroad,this paper analyzes the actual demand of self-healing control of smart distribution network,and clarifies new support technologies and implementation methods based on synchronous phasor measurement for fast sensing and precise coordinated control,and designs a self-healing control architecture in the smart distribution network under the support of new technology.Combined with the application of advanced technologies such as big data,cloud computing,Internet of Things,mobile internet and artificial intelligence,it can realize accurate detection and precise positioning of multiple types and weak feature faults,and exploit the adjustable potential and power supply supporting role of distributed generation to improve the safe,reliable and economical operation level of smart distribution network.
引文
[1]赵江河.智能配电网的体系架构设计探讨[J].供用电,2016,33(10):2-6.ZHAO Jianghe.Discussion on architecture design of smart distribution network[J].Distribution&Utilization,2016,33(10):2-6.
[2]周冬旭,张明,朱红,等.新电改形势下智能配电网调度互动研究应用[J].电力工程技术,2018,37(2):89-94.ZHOU Dongxu,ZHANG Ming,ZHU Hong,et al.Research and application ofintelligent distribution network dispatching interactive under the background ofelectric power system reformation[J].Electric Power Engineering Technology,2018,37(2):89-94.
[3]AMIN M.Toward self-healing energy infrastructure systems[J].IEEE Computer Applications in Power,2001,14(1):20-28.
[4]AMIN S M,GIACOMONI A M.Smart grid,safe grid[J].IEEE Power and Energy Magazine,2012,10(1):33-40.
[5]SHAHIN M A.Smart Grid self-healing implementation for underground distribution networks[C]//2013 IEEE Innovative Smart Grid Technologies-Asia(ISGT Asia),November 10-13,2013,Bangalore,India.
[6]BERNARDO A,SILVA N,CARRAPOTOSO A,et al.Preventive assessment for combined control centre and substation-centric self-healing strategies[C]//The 21st International Conference on Electricity Distribution,2011,Frankfurt,Germany:1-4.
[7]李振坤,赵向阳,朱兰,等.智能配电网故障后自愈能力评估[J].电网技术,2018,42(3):789-796.LI Zhenkun,ZHAO Xiangyang,ZHU Lan,et al.Evaluation of selfhealing ability for smart distribution network after failure[J].Power System Technology,2018,42(3):789-796.
[8]郭志忠.电网自愈控制方案[J].电力系统自动化,2005,29(10):85-91.GUO Zhizhong.Scheme of self-healing control frame of power grid[J].Automation of Electric Power Systems,2005,29(10):85-91.
[9]贾东梨,孟晓丽,宋晓辉.智能配电网自愈控制技术体系框架研究[J].电网与清洁能源,2011,27(2):14-18.JIA Dongli,MENG Xiaoli,SONG Xiaohui.Technology framework of self-healing control in smart distribution grid[J].Power System and Clean Energy,2011,27(2):14-18.
[10]于力.考虑微电网接入的智能配电网优化运行与控制方法研究[D].长沙:湖南大学,2016.
[11]秦红霞,谭志海,葛亮,等.智能配电网自愈控制系统技术研究与设计[J].电力系统保护与控制,2014,42(22):134-139.QIN Hongxia,TAN Zhihai,GE Liang,et al.Study and design of smart distribution grid self-healing control system technology[J].Power System Protection and Control,2014,42(22):134-139.
[12]庞清乐,刘昱超,李希年,等.基于电流极性比较的主动配电网故障定位方法[J].电力系统保护与控制,2018,46(20):101-108.PANG Qingle,LIU Yuchao,LI Xinian,et al.Current polarity comparison based fault location for active distribution network[J].Power System Protection and Control,2018,46(20):101-108.
[13]袁月,王守相,蒋菱,等.适应自愈要求的配电网开关优化配置[J].中国电力,2016,49(3):76-82.YUAN Yue,WANG Shouxiang,JIANG Ling,et al.Switch configuration optimization based on self-healing requirement of distribution network[J].Electric Power,2016,49(3):76-82.
[14]董旭柱.智能配电网自愈控制技术的内涵及其应用[J].南方电网技术,2013,7(3):1-6.DONG Xuzhu.Introduction of self-healing control technology in smart distribution systems and its application[J].Southern Power System Technology,2013,7(3):1-6.
[15]王学冬,肖白.智能配电网的故障自愈技术研究[J].东北电力大学学报,2018,38(5):80-84.WANG Xuedong,XIAO Bai.Research on technologies of self healing control on smart distribution network[J].Journal of Northeast Electric Power University,2018,38(5):80-84.
[16]董旭柱,黄邵远,陈柔伊,等.智能配电网自愈控制技术[J].电力系统自动化,2012,36(18):17-21.DONG Xuzhu,HUANG Shaoyuan,CHEN Rouyi,et al.Selfhealing control technology for smart distribution system[J].Automation of Electric Power Systems,2012,36(18):17-21.
[17]吴静子,魏登峰.基于改进粒子群算法的配电网故障自愈算法[J].电力学报,2014,29(3):206-210,222.WU Jingzi,WEI Dengfeng.Distribution network fault self-healing algorithm based on improved PSO[J].Journal of Electric Power,2014,29(3):206-210,222.
[18]史裕,许明,吕晓平,等.城市配电网分布式自愈控制方法与系统[J].山东电力技术,2017,44(1):1-4.SHI Yu,XU Ming,LV Xiaoping,et al.Distributed self-healing control method and system for urban distribution network[J].Shandong Electric Power,2017,44(1):1-4.
[19]潘杰,刘勇村,叶云峰,等.智能配电网自愈控制方法综述[J].科技与创新,2019(1):62-63.
[20]程宏波,康嘉斌,王勋,等.一种基于容错思想的智能配电网自愈控制方法[J].电工电能新技术,2018,37(4):9-14.CHENG Hongbo,KANG Jiabin,WANG Xun,et al.A selfhealing control method of smart distribution grid based on faulttolerance[J].Advanced Technology of Electrical Engineering and Energy,2018,37(4):9-14.
[21]吴在军,徐俊俊,余星火,等.主动配电网状态估计技术评述[J].电力系统自动化,2017,41(13):182-191.WU Zaijun,XU Junjun,YU Xinghuo,et al.Review on state estimation technique of active distribution network[J].Automation of Electric Power Systems,2017,41(13):182-191.
[22]王艳松,刘珊,衣京波,等.基于状态估计的含分布式电源树状配电网故障测距算法[J].电力系统保护与控制,2018,46(23):60-67.WANG Yansong,LIU Shan,YI Jingbo,et al.Fault location algorithm based on state estimation in tree distribution network with distributed generation[J].Power System Protection and Control,2018,46(23):60-67.
[23]怀全,候小虎,何良策,等.一种含分布式电源的中低压配电网状态估计方法研究[J].电力系统保护与控制,2018,46(21):69-85.HUAI Quan,HOU Xiaohu,HE Liangce,et al.A method of state estimation for middle voltage and low voltage distribution network with distributed generations[J].Power System Protection and Control,2018,46(21):69-85.
[24]吴长元,吴杰康,翁子豪,等.新能源配电网多类型有功无功电源容量协同优化[J].广东电力,2018,31(3):98-108.WU Changyuan,WU Jiekang,WENG Zihao,et al.Collaborative optimization on multi-typed active and reactive power source capacities of new energy power distribution network[J]. Guangdong Electric Power,2018,31(3):98-108.
[25]吴鸣,于辉,熊雄.分布式电源接入配电网的基本原则[J].供用电,2017,34(12):32-38.WU Ming,YU Hui,XIONG Xiong.Basic principles for integration of distributed generation into power distribution network[J].Distribution&Utilization,2017,34(12):32-38.
[26]王丹,孙冬冬,胡庆娥,等.基于最优能量状态调节的电动汽车需求响应及其对配电网的影响[J].电力建设,2018,39(5):86-94.WANG Dan,SUN Dongdong,HU Qinge,et al.Demand response of electric vehicles based on optimal energy status regulation and its impact on distribution network[J].Electric Power Construction,2018,39(5):86-94.
[27]王汉华,陈永进.电动汽车充电设施接入配电网的最优布点规划[J].广东电力,2018,31(4):72-78.WANG Hanhua,CHEN Yongjin.Optimal stationing planning for electric vehicle charging facilities accessing to distribution network[J]. Guangdong Electric Power,2018,31(4):72-78.
[28]肖浩,裴玮,邓卫,等.分布式电源对配电网电压的影响分析及其优化控制策略[J].电工技术学报,2016,31(S1):203-213.XIAO Hao,PEI Wei,DENG Wei,et al.Analysis of the impact of distributed generation on distribution network voltage and its optimal control strategy[J].Transactions of China Electrotechnical Society,2016,31(S1):203-213.
[29]张秀钊,陈姝敏,钱纹,等.含分布式电源配电网抗灾害特性评估方法[J].广东电力,2018,31(1):51-56.ZHANG Xiuzhao,CHEN Shumin,QIAN Wen,et al.Evaluation method for anti-disaster characteristic of power distribution network with distributed generation[J]. Guangdong Electric Power,2018,31(1):51-56.
[30]National Grid.National electricity transmission system performance report 2015–2016[R].Great Britain:National Grid,2016:7-8.
[31]North American Electric Reliability Corporation.State of reliability2015[R].American:North American Electric reliability Corporation,2016:93.
[32]Tokyo Electric Power Company Holdings.TEPCO integrated report2017[R].Japan:Tokyo Electric Power Company,2017:53.
[33]朱鹏程,柳劲松,范士雄,等.考虑混合量测的配电网二次约束二次估计方法[J].电网技术,2019,43(3):841-847.ZHU Pengcheng,LIU Jinsong,FAN Shixiong,et al.A quadratic constraint quadratic estimation method based on hybrid measurements for distribution networks[J].Power System Technology,2019,43(3):841-847.
[34]TRAN V K,ZHANG H S,NGUYEN V N.Optimal PMU placement in multi-configuration power distribution networks[C]//Proceedings of the2016 4th International Conference on Electrical&Electronics Engineering and Computer Science(ICEEECS 2016),October 15-16,2016,Jinan,China:515-521.
[35]刘志文,董旭柱,吴争荣,等.基于多种测度的配电网关键设备在线状态评估[J].电力系统及其自动化学报,2018,30(11):52-57.LIU Zhiwen,DONG Xuzhu,WU Zhengrong,et al.Online condition assessment on key equipment of distribution network based on multiple measures[J].Proceedings of the CSU-EPSA,2018,30(11):52-57.
[36]丰颖,贠志皓,孙景文,等.输配协同的配电网态势快速感知方法[J].电力系统自动化,2016,40(12):37-44.FENG Ying,YUN Zhihao,SUN Jingwen,et al.Fast situation awareness method for distribution network coordinated with transmission grid[J].Automation of Electric Power Systems,2016,40(12):37-44.
[37]许寅,王思家,吴翔宇,等.基于同步相量测量的配电网孤岛多源协同控制方法[J].电网技术,2019,43(3):872-880.XU Yin,WANG Sijia,WU Xiangyu,et al.Multi-source coordinated control method based on PMU for islanded distribution network[J].Power System Technology,2019,43(3):872-880.
[38]FAN M,ZHANG B,YAO Q,et al.Smart distribution network operating condition recognition based on big data analysis[C]//20176th Data Driven Control and Learning Systems(DDCLS),May 26-27,2017,Chongqing,China.
[39]谢伟,王少荣,张勇,等.优化智能配电网动态特性的技术方法[J].电网技术,2019,43(3):863-871.XIE Wei,WANG Shaorong,ZHANG Yong,et al.Technical methods for optimizing dynamic characteristics of smart distribution network[J].Power System Technology,2019,43(3):863-871.
[40]黎洪光,刘明明,苏荣生,等.基于区间理论的配电网合环电流计算方法及应用[J].南方电网技术,2015,9(2):95-100.LI Hongguang,LIU Mingming,SU Rongsheng,et al.Interval theory based closed loop current calculation for distribution network and its application[J].Southern Power System Technology,2015,9(2):95-100.
[41]周自强,张焰,郭强,等.基于概率潮流的10 k V配电网合环操作安全性评估[J].电网技术,2019,43(4):1421-1429.ZHOU Ziqiang,ZHANG Yan,GUO Qiang,et al.Security assessment of loop closing operation in 10 kV distribution network based on probabilistic load flow[J].Power System Technology,2019,43(4):1421-1429.
[42]马天祥,程肖,贾伯岩,等.基于不确定二层规划模型的主动配电网故障恢复方法[J].电力系统保护与控制,2019,47(6):48-57.MA Tianxiang,CHENG Xiao,JIA Boyan,et al.Service restoration method for active distribution network based on uncertain bi-level programming model[J].Power System Protection and Control,2019,47(6):48-57.
[43]陈昕玥,唐巍,陈禹,等.基于机会约束规划含光伏发电的配电网故障恢复[J].电网技术,2014,38(1):99-106.CHEN Xinyue,TANG Wei,CHEN Yu,et al.Chance constrained programming based fault recovery of distribution network containing photovoltaic generations[J].Power System Technology,2014,38(1):99-106.
[44]黄素娟,张晓青,孙保华,等.主动配电网协调控制系统设计及应用[J].电力工程技术,2017,36(4):25-30.HUANG Sujuan, ZHANG Xiaoqing,SUN Baohua,et al.Design and application of coordinated control system in active distribution network[J].Electric Power Engineering Technology,2017,36(4):25-30.
[45]杨雨瑶,张勇军,林国营,等.含光储联合发电系统的配电网双目标拓展无功优化[J].电力系统保护与控制,2018,46(22):39-46.YANG Yuyao,ZHANG Yongjun,LIN Guoying,et al.Doubleobjective extended reactive power optimization in distribution network with photovoltaic-energy storage hybrid systems[J].Power System Protection and Control,2018,46(22):39-46
[46]赫卫国,程军照,王文玺,等.含分布式光伏发电的配电网电压越界调节策略[J].电力需求侧管理,2017,19(6):19-24.HE Weiguo,CHENG Junzhao,WANG Wenxi,et al.Regulation method of voltage limits violation in distribution network with distributed photovoltaic generation[J].Power Demand Side Management,2017,19(6):19-24.
[47]李子龙,刘涛,黄胜强,等.基于泄放能量函数的配电网线路故障定位方法研究[J].智慧电力,2017,45(7):106-111.LI Zilong,LIU Tao,HUANG Shengqiang,et al.Study onFault Location Method Based on Leakage Energy Function[J].Smart Power,2017,45(7):106-111.
[2]周冬旭,张明,朱红,等.新电改形势下智能配电网调度互动研究应用[J].电力工程技术,2018,37(2):89-94.ZHOU Dongxu,ZHANG Ming,ZHU Hong,et al.Research and application ofintelligent distribution network dispatching interactive under the background ofelectric power system reformation[J].Electric Power Engineering Technology,2018,37(2):89-94.
[3]AMIN M.Toward self-healing energy infrastructure systems[J].IEEE Computer Applications in Power,2001,14(1):20-28.
[4]AMIN S M,GIACOMONI A M.Smart grid,safe grid[J].IEEE Power and Energy Magazine,2012,10(1):33-40.
[5]SHAHIN M A.Smart Grid self-healing implementation for underground distribution networks[C]//2013 IEEE Innovative Smart Grid Technologies-Asia(ISGT Asia),November 10-13,2013,Bangalore,India.
[6]BERNARDO A,SILVA N,CARRAPOTOSO A,et al.Preventive assessment for combined control centre and substation-centric self-healing strategies[C]//The 21st International Conference on Electricity Distribution,2011,Frankfurt,Germany:1-4.
[7]李振坤,赵向阳,朱兰,等.智能配电网故障后自愈能力评估[J].电网技术,2018,42(3):789-796.LI Zhenkun,ZHAO Xiangyang,ZHU Lan,et al.Evaluation of selfhealing ability for smart distribution network after failure[J].Power System Technology,2018,42(3):789-796.
[8]郭志忠.电网自愈控制方案[J].电力系统自动化,2005,29(10):85-91.GUO Zhizhong.Scheme of self-healing control frame of power grid[J].Automation of Electric Power Systems,2005,29(10):85-91.
[9]贾东梨,孟晓丽,宋晓辉.智能配电网自愈控制技术体系框架研究[J].电网与清洁能源,2011,27(2):14-18.JIA Dongli,MENG Xiaoli,SONG Xiaohui.Technology framework of self-healing control in smart distribution grid[J].Power System and Clean Energy,2011,27(2):14-18.
[10]于力.考虑微电网接入的智能配电网优化运行与控制方法研究[D].长沙:湖南大学,2016.
[11]秦红霞,谭志海,葛亮,等.智能配电网自愈控制系统技术研究与设计[J].电力系统保护与控制,2014,42(22):134-139.QIN Hongxia,TAN Zhihai,GE Liang,et al.Study and design of smart distribution grid self-healing control system technology[J].Power System Protection and Control,2014,42(22):134-139.
[12]庞清乐,刘昱超,李希年,等.基于电流极性比较的主动配电网故障定位方法[J].电力系统保护与控制,2018,46(20):101-108.PANG Qingle,LIU Yuchao,LI Xinian,et al.Current polarity comparison based fault location for active distribution network[J].Power System Protection and Control,2018,46(20):101-108.
[13]袁月,王守相,蒋菱,等.适应自愈要求的配电网开关优化配置[J].中国电力,2016,49(3):76-82.YUAN Yue,WANG Shouxiang,JIANG Ling,et al.Switch configuration optimization based on self-healing requirement of distribution network[J].Electric Power,2016,49(3):76-82.
[14]董旭柱.智能配电网自愈控制技术的内涵及其应用[J].南方电网技术,2013,7(3):1-6.DONG Xuzhu.Introduction of self-healing control technology in smart distribution systems and its application[J].Southern Power System Technology,2013,7(3):1-6.
[15]王学冬,肖白.智能配电网的故障自愈技术研究[J].东北电力大学学报,2018,38(5):80-84.WANG Xuedong,XIAO Bai.Research on technologies of self healing control on smart distribution network[J].Journal of Northeast Electric Power University,2018,38(5):80-84.
[16]董旭柱,黄邵远,陈柔伊,等.智能配电网自愈控制技术[J].电力系统自动化,2012,36(18):17-21.DONG Xuzhu,HUANG Shaoyuan,CHEN Rouyi,et al.Selfhealing control technology for smart distribution system[J].Automation of Electric Power Systems,2012,36(18):17-21.
[17]吴静子,魏登峰.基于改进粒子群算法的配电网故障自愈算法[J].电力学报,2014,29(3):206-210,222.WU Jingzi,WEI Dengfeng.Distribution network fault self-healing algorithm based on improved PSO[J].Journal of Electric Power,2014,29(3):206-210,222.
[18]史裕,许明,吕晓平,等.城市配电网分布式自愈控制方法与系统[J].山东电力技术,2017,44(1):1-4.SHI Yu,XU Ming,LV Xiaoping,et al.Distributed self-healing control method and system for urban distribution network[J].Shandong Electric Power,2017,44(1):1-4.
[19]潘杰,刘勇村,叶云峰,等.智能配电网自愈控制方法综述[J].科技与创新,2019(1):62-63.
[20]程宏波,康嘉斌,王勋,等.一种基于容错思想的智能配电网自愈控制方法[J].电工电能新技术,2018,37(4):9-14.CHENG Hongbo,KANG Jiabin,WANG Xun,et al.A selfhealing control method of smart distribution grid based on faulttolerance[J].Advanced Technology of Electrical Engineering and Energy,2018,37(4):9-14.
[21]吴在军,徐俊俊,余星火,等.主动配电网状态估计技术评述[J].电力系统自动化,2017,41(13):182-191.WU Zaijun,XU Junjun,YU Xinghuo,et al.Review on state estimation technique of active distribution network[J].Automation of Electric Power Systems,2017,41(13):182-191.
[22]王艳松,刘珊,衣京波,等.基于状态估计的含分布式电源树状配电网故障测距算法[J].电力系统保护与控制,2018,46(23):60-67.WANG Yansong,LIU Shan,YI Jingbo,et al.Fault location algorithm based on state estimation in tree distribution network with distributed generation[J].Power System Protection and Control,2018,46(23):60-67.
[23]怀全,候小虎,何良策,等.一种含分布式电源的中低压配电网状态估计方法研究[J].电力系统保护与控制,2018,46(21):69-85.HUAI Quan,HOU Xiaohu,HE Liangce,et al.A method of state estimation for middle voltage and low voltage distribution network with distributed generations[J].Power System Protection and Control,2018,46(21):69-85.
[24]吴长元,吴杰康,翁子豪,等.新能源配电网多类型有功无功电源容量协同优化[J].广东电力,2018,31(3):98-108.WU Changyuan,WU Jiekang,WENG Zihao,et al.Collaborative optimization on multi-typed active and reactive power source capacities of new energy power distribution network[J]. Guangdong Electric Power,2018,31(3):98-108.
[25]吴鸣,于辉,熊雄.分布式电源接入配电网的基本原则[J].供用电,2017,34(12):32-38.WU Ming,YU Hui,XIONG Xiong.Basic principles for integration of distributed generation into power distribution network[J].Distribution&Utilization,2017,34(12):32-38.
[26]王丹,孙冬冬,胡庆娥,等.基于最优能量状态调节的电动汽车需求响应及其对配电网的影响[J].电力建设,2018,39(5):86-94.WANG Dan,SUN Dongdong,HU Qinge,et al.Demand response of electric vehicles based on optimal energy status regulation and its impact on distribution network[J].Electric Power Construction,2018,39(5):86-94.
[27]王汉华,陈永进.电动汽车充电设施接入配电网的最优布点规划[J].广东电力,2018,31(4):72-78.WANG Hanhua,CHEN Yongjin.Optimal stationing planning for electric vehicle charging facilities accessing to distribution network[J]. Guangdong Electric Power,2018,31(4):72-78.
[28]肖浩,裴玮,邓卫,等.分布式电源对配电网电压的影响分析及其优化控制策略[J].电工技术学报,2016,31(S1):203-213.XIAO Hao,PEI Wei,DENG Wei,et al.Analysis of the impact of distributed generation on distribution network voltage and its optimal control strategy[J].Transactions of China Electrotechnical Society,2016,31(S1):203-213.
[29]张秀钊,陈姝敏,钱纹,等.含分布式电源配电网抗灾害特性评估方法[J].广东电力,2018,31(1):51-56.ZHANG Xiuzhao,CHEN Shumin,QIAN Wen,et al.Evaluation method for anti-disaster characteristic of power distribution network with distributed generation[J]. Guangdong Electric Power,2018,31(1):51-56.
[30]National Grid.National electricity transmission system performance report 2015–2016[R].Great Britain:National Grid,2016:7-8.
[31]North American Electric Reliability Corporation.State of reliability2015[R].American:North American Electric reliability Corporation,2016:93.
[32]Tokyo Electric Power Company Holdings.TEPCO integrated report2017[R].Japan:Tokyo Electric Power Company,2017:53.
[33]朱鹏程,柳劲松,范士雄,等.考虑混合量测的配电网二次约束二次估计方法[J].电网技术,2019,43(3):841-847.ZHU Pengcheng,LIU Jinsong,FAN Shixiong,et al.A quadratic constraint quadratic estimation method based on hybrid measurements for distribution networks[J].Power System Technology,2019,43(3):841-847.
[34]TRAN V K,ZHANG H S,NGUYEN V N.Optimal PMU placement in multi-configuration power distribution networks[C]//Proceedings of the2016 4th International Conference on Electrical&Electronics Engineering and Computer Science(ICEEECS 2016),October 15-16,2016,Jinan,China:515-521.
[35]刘志文,董旭柱,吴争荣,等.基于多种测度的配电网关键设备在线状态评估[J].电力系统及其自动化学报,2018,30(11):52-57.LIU Zhiwen,DONG Xuzhu,WU Zhengrong,et al.Online condition assessment on key equipment of distribution network based on multiple measures[J].Proceedings of the CSU-EPSA,2018,30(11):52-57.
[36]丰颖,贠志皓,孙景文,等.输配协同的配电网态势快速感知方法[J].电力系统自动化,2016,40(12):37-44.FENG Ying,YUN Zhihao,SUN Jingwen,et al.Fast situation awareness method for distribution network coordinated with transmission grid[J].Automation of Electric Power Systems,2016,40(12):37-44.
[37]许寅,王思家,吴翔宇,等.基于同步相量测量的配电网孤岛多源协同控制方法[J].电网技术,2019,43(3):872-880.XU Yin,WANG Sijia,WU Xiangyu,et al.Multi-source coordinated control method based on PMU for islanded distribution network[J].Power System Technology,2019,43(3):872-880.
[38]FAN M,ZHANG B,YAO Q,et al.Smart distribution network operating condition recognition based on big data analysis[C]//20176th Data Driven Control and Learning Systems(DDCLS),May 26-27,2017,Chongqing,China.
[39]谢伟,王少荣,张勇,等.优化智能配电网动态特性的技术方法[J].电网技术,2019,43(3):863-871.XIE Wei,WANG Shaorong,ZHANG Yong,et al.Technical methods for optimizing dynamic characteristics of smart distribution network[J].Power System Technology,2019,43(3):863-871.
[40]黎洪光,刘明明,苏荣生,等.基于区间理论的配电网合环电流计算方法及应用[J].南方电网技术,2015,9(2):95-100.LI Hongguang,LIU Mingming,SU Rongsheng,et al.Interval theory based closed loop current calculation for distribution network and its application[J].Southern Power System Technology,2015,9(2):95-100.
[41]周自强,张焰,郭强,等.基于概率潮流的10 k V配电网合环操作安全性评估[J].电网技术,2019,43(4):1421-1429.ZHOU Ziqiang,ZHANG Yan,GUO Qiang,et al.Security assessment of loop closing operation in 10 kV distribution network based on probabilistic load flow[J].Power System Technology,2019,43(4):1421-1429.
[42]马天祥,程肖,贾伯岩,等.基于不确定二层规划模型的主动配电网故障恢复方法[J].电力系统保护与控制,2019,47(6):48-57.MA Tianxiang,CHENG Xiao,JIA Boyan,et al.Service restoration method for active distribution network based on uncertain bi-level programming model[J].Power System Protection and Control,2019,47(6):48-57.
[43]陈昕玥,唐巍,陈禹,等.基于机会约束规划含光伏发电的配电网故障恢复[J].电网技术,2014,38(1):99-106.CHEN Xinyue,TANG Wei,CHEN Yu,et al.Chance constrained programming based fault recovery of distribution network containing photovoltaic generations[J].Power System Technology,2014,38(1):99-106.
[44]黄素娟,张晓青,孙保华,等.主动配电网协调控制系统设计及应用[J].电力工程技术,2017,36(4):25-30.HUANG Sujuan, ZHANG Xiaoqing,SUN Baohua,et al.Design and application of coordinated control system in active distribution network[J].Electric Power Engineering Technology,2017,36(4):25-30.
[45]杨雨瑶,张勇军,林国营,等.含光储联合发电系统的配电网双目标拓展无功优化[J].电力系统保护与控制,2018,46(22):39-46.YANG Yuyao,ZHANG Yongjun,LIN Guoying,et al.Doubleobjective extended reactive power optimization in distribution network with photovoltaic-energy storage hybrid systems[J].Power System Protection and Control,2018,46(22):39-46
[46]赫卫国,程军照,王文玺,等.含分布式光伏发电的配电网电压越界调节策略[J].电力需求侧管理,2017,19(6):19-24.HE Weiguo,CHENG Junzhao,WANG Wenxi,et al.Regulation method of voltage limits violation in distribution network with distributed photovoltaic generation[J].Power Demand Side Management,2017,19(6):19-24.
[47]李子龙,刘涛,黄胜强,等.基于泄放能量函数的配电网线路故障定位方法研究[J].智慧电力,2017,45(7):106-111.LI Zilong,LIU Tao,HUANG Shengqiang,et al.Study onFault Location Method Based on Leakage Energy Function[J].Smart Power,2017,45(7):106-111.