小区配电网规划研究
|
摘要
随着国民经济的发展和人民物质水平的不断提高,社会对电力的需求逐年增长,对供电质量和供电可靠性要求越来越高,尤其是现在的城市都在快速地发展和建设中,如何将城市配电网改造成布局合理经济、供电可靠、有一定的超前性,满足工业区、开发区、住宅区、文化区的近期和远期目标的要求,已成为城市及各级供电公司积极探索的新课题。
本文首先介绍了目前国内外比较常用的负荷预测的方法,并介绍其优缺点,并指出一个准确科学地负荷预测是一种或多种预测方法相结合的过程。然后介绍了高压配电网络规划应满足的要求,并注明应注意的事项。还介绍了中压配电网络规划的步骤和方法,并重点介绍了中压配电中的变压器的选择、选址和定容问题,以及网络接线模式问题,最后结合上海某客运中心的事例加进一步阐述和说明。
本文共分六章。第一章为绪论,阐述了本论文研究课题的背景,以及国内外城市配电网的现状。第二章讨论了目前比较常用的负荷预测方法,比较介绍了各种预测方法的优缺点。第三章研究了高压配电网络的要求及规划方法。第四章重点介绍了中压配电网络的规划步骤,并对变电站的选址、变压器的选择以及10KV系统的网络接线问题做了重点的阐述,进一步明确了中压配电网络的步骤和方法。第五章以上海某客运中心为例,结合上述的规划步骤和方法,详细介绍了城市区域配电网络规划的过程和方法。第六章为全文总结与展望。
本文的主要创新包括以下两个方面:
1.本文以城市工业区或大型社区的视角,来整体考虑配电网络规划,符合目前越来越多的工业区、开发区、以及越来越大型化的生活社区的发展要求;
2.本文讨论了国内外的负荷预测方法,指出其优劣,并指出各地区应根据各地的实际情况,在不违背相关法规的情况下,选择合适的负荷预测方法。
As the development of domestic economy and improvement of material living, the society needs more electricity year by year. Furthermore, it requires higher quality and stability. How to plan the distribution network in community is an important issue, especially nowadays the city is through extremely fast development and construction. A new theme is to plan a short-term and long-term goal to satisfy the city development including industry area, development area, residential area, and cultural area etc.
This paper firstly introduces the common load forecasting method and their weakness and strength. A scientific load forecasting method is a combination with several load forecasting methods. Besides this, the paper also introduces the requirement for high voltage distribution network planning and medium voltage distribution network planning. At last, a demonstration is stated and testified.
This paper comprises six chapters. In chapter I, the significance of the thesis, current research works of domestic and foreign, and the distribution network planning are introduced. In chapter II, the load forecasting methods and their strength and weakness are discussed. In chapter III, high voltage distribution network requirement and planning method is stated. In chapter IV, the step of planning medium voltage distribution network is introduced and strongly emphasis cite of transformer and network connection of 10kv system. In chapter V, a demonstration is discussed and analysis the procedure and methods of distribution network planning. The main works of the paper are summarized in the last chapter.
The innovations of the paper are as follows.
1. The paper take the angle of city industry or huge community, to consider the distribution network planning, to satisfy the development requirement of industry zone, development zone, and increasing huge residential zone.
2. The paper discusses the several load forecasting methods, and points out the strength and weakness. According to the specific situation, the paper chooses the suitable load forecasting method.
本文首先介绍了目前国内外比较常用的负荷预测的方法,并介绍其优缺点,并指出一个准确科学地负荷预测是一种或多种预测方法相结合的过程。然后介绍了高压配电网络规划应满足的要求,并注明应注意的事项。还介绍了中压配电网络规划的步骤和方法,并重点介绍了中压配电中的变压器的选择、选址和定容问题,以及网络接线模式问题,最后结合上海某客运中心的事例加进一步阐述和说明。
本文共分六章。第一章为绪论,阐述了本论文研究课题的背景,以及国内外城市配电网的现状。第二章讨论了目前比较常用的负荷预测方法,比较介绍了各种预测方法的优缺点。第三章研究了高压配电网络的要求及规划方法。第四章重点介绍了中压配电网络的规划步骤,并对变电站的选址、变压器的选择以及10KV系统的网络接线问题做了重点的阐述,进一步明确了中压配电网络的步骤和方法。第五章以上海某客运中心为例,结合上述的规划步骤和方法,详细介绍了城市区域配电网络规划的过程和方法。第六章为全文总结与展望。
本文的主要创新包括以下两个方面:
1.本文以城市工业区或大型社区的视角,来整体考虑配电网络规划,符合目前越来越多的工业区、开发区、以及越来越大型化的生活社区的发展要求;
2.本文讨论了国内外的负荷预测方法,指出其优劣,并指出各地区应根据各地的实际情况,在不违背相关法规的情况下,选择合适的负荷预测方法。
As the development of domestic economy and improvement of material living, the society needs more electricity year by year. Furthermore, it requires higher quality and stability. How to plan the distribution network in community is an important issue, especially nowadays the city is through extremely fast development and construction. A new theme is to plan a short-term and long-term goal to satisfy the city development including industry area, development area, residential area, and cultural area etc.
This paper firstly introduces the common load forecasting method and their weakness and strength. A scientific load forecasting method is a combination with several load forecasting methods. Besides this, the paper also introduces the requirement for high voltage distribution network planning and medium voltage distribution network planning. At last, a demonstration is stated and testified.
This paper comprises six chapters. In chapter I, the significance of the thesis, current research works of domestic and foreign, and the distribution network planning are introduced. In chapter II, the load forecasting methods and their strength and weakness are discussed. In chapter III, high voltage distribution network requirement and planning method is stated. In chapter IV, the step of planning medium voltage distribution network is introduced and strongly emphasis cite of transformer and network connection of 10kv system. In chapter V, a demonstration is discussed and analysis the procedure and methods of distribution network planning. The main works of the paper are summarized in the last chapter.
The innovations of the paper are as follows.
1. The paper take the angle of city industry or huge community, to consider the distribution network planning, to satisfy the development requirement of industry zone, development zone, and increasing huge residential zone.
2. The paper discusses the several load forecasting methods, and points out the strength and weakness. According to the specific situation, the paper chooses the suitable load forecasting method.
引文
[1] 杨卫红, 顾巧荣, 黄韵璋. 新时期配电网规划中需要关注的几个问题[J]. 电网技术, 2006, 30 (增刊): 588~590.
[2] 宋蒙, 刘健, 刘巩权. 基于优化分区的城市配电网架规划[J]. 继电器, 2005, 33 (23): 31~35.
[3] 朱涛, 肖峻, 王成山. 计及通道因素的城市中压配电网络规划[J]. 继电器, 2007, 35 (13): 33~38.
[4] 王成山, 王赛一. 基于空间 GIS 和 Tabu 搜索技术的城市中压配电网珞规划[J]. 电网技术, 2004, 28 (14): 68~78.
[5] 王赛一, 王成山. 基于多目标模型的城市中压配电网络规划[J]. 中国电力, 2006, 39 (11): 46~50.
[6] 李欣然, 刘友强, 朱湘友等. 地区中压配电网容载比的研究[J]. 继电器, 2006, 34 (7): 47~50.
[7] 肖峻, 高海霞, 葛少云等. 城市中压配电网评估方法与实例研究[J]. 电网技术, 2005, 29 (20): 77~81.
[8] 肖峻, 王跃强, 王成山. 城市中压配电网接线模式识别[J]. 电网技术, 2003, 27 (10) : 92~95.
[9] 余肽鑫, 张崇见. 城市电网中压配电网变压器的模糊优化规划[J].中国电机工程学报, 2000, 20 (4): 23~28.
[10] 葛少云, 张菁, 陈丽君. 基于两联络接线模式的城市配电网联络线优化[J]. 电力系统及其自动化学报, 2007, 19 (5): 98~103.
[11] Y.X.Yu, C.S.Wang, J.Xiao el at. A Decision making support system for urban distribution planning: Models, methods and experiences [J].
[12] K. Nara, Y Hayashi, S.Muto, el at. a new algorithm for distribution feeder ecpansion planning for urban area [J]. Proceedings of the 4th international conference on advances in power system conrol, Hong Kong, November 1997.
[13] Xiaohu Tao, Hans Haubrich. A two-stage heuristic method for the planning of medium voltage distribution networks with large-scale distributed generation [J]. 9th international conference on probabilistic methods applied to power systems. 2006, 11~15.
[14] Snjezana Blagajac, Minea Filipec, Slavko Krajcar, el at. CADDIN = DATA + GIS + GA [J].
[15] M. Skok, S.Krajcar, D. Strlec. Dynamic planning of medium voltage open-loop distribution networks under uncertainty [J].
[16] H. Lee Wills, Linda A Finley, Michael J. Buri. Forecasting electric demand of distribution system planning in rural and sparsely populated regions [J]. IEEE Transactions on power systems, 1995, 10 (4): 2008~2013.
[17] Mo yuen chow, Hahn Tram. Methodology of urban re-development consideration sin spatial load forecasting [J].
[18] Cheng-shan Wang, Sai-yi Wang. The automatic routing system of urban mid-voltage distribution network based on spatial GIS [J]. 2004 international conference on power system technology, Singapore, 2004, 21~24.
[19] P.M.S. Carvalho, L.A.F.M. Ferreira. urban distribution network investment criteria for reliability adequacy [J]. IEEE transactions on power systems, 2004, 19 (2): 1216~1222.
[20] P. Heine, M. Lehtonen, E. Lakervi. Voltage sag analysis taken into account in distribution network design [J]. 2001 IEEE Porto power tech conference 10th -13th September, Porto, Portugal.
[21] M.E.E1-Hawary,Optimal power flow:solution techniques requirements and challenges,Operation economics working group system economic subcommittee power system engineering committee of the IEEE power engineering society,1996
[22] Shu T,Gross G.transmission loss compensation in multiple transaction network[J].IEEE Trans on Power Systems,2000,15(3):909-915
[23] 韩力, 韩学山, 贠志皓. 多节点超短期负荷预测方法[J]. 电力系统自动化, 2007, 21.
[24] 孙目清.分布式分层 BP 算法在短期负荷预测中的应用[J]. 电力自动化设备,1996,2:51~64.
[25] 李元诚,方廷健,于尔铿. 短期负荷预测的支持向量机方法研究[J]. 中国电机工程学报,2003,23(6):55~59.
[26] Chen Bo-juen, Chang Ming-wei, Lin Chih-jen. Load forecasting using support vector machine: A study on EUNTE competition 2001[J]. IEEE Transaction on Power Systems, 2004,19(4):1821~1830.
[27] 赵登福,王蒙,张讲社等. 基于支持向量机方法的短期负荷预测[J]. 中国电机工程学报, 2002,22(4):26~30.
[28] YE Bin, ZHU Chen-zhi, GUO Chuang-xin, et al. Generating Fuzzy Model for Short-Term Load Forecasting Using Hybrid Algorithm [J]. Automation of Electric Power Systems, 2006,30(2):32~40.
[29] Song Y H, Kin Chang-II, Yu In-Keun. Kohonen Neural Network and Wavelet Transform Based Approach to Short-term Load Forecasting [J]. Electric Power Systems Reserch,2002, 63(3):169~176.
[30] Srinivasan D, Swee Sien Tan, Chang C S,et al. Parallel Neural Networl-fuzzy Expert System for Short-term Load Forecasting: System Implementation and Performance Evaluation. IEEE Tran on Power Systems, 1999, 14(3).
[31] Yang Hong-Tzer, Huang Chao-Ming. New Short-term Load Forecasting Approach Using Self-organization Fuzzy ARMAX Models. IEEE Trans on Power Systems, 1998, 13(1): 217~225.
[32] 徐进东,丁晓群,邓勇. 基于相似日的线性外推短期负荷预测[J]. 继电器,2005, 33(7): 37~40.
[33] Haida T, Munto S. Regression Based on Peak Load Forecasting Using A Transformation Technique J.IEEE Trans on Power System,1994,9 (4):1788~1794.
[34] Yang Hong-Tzer, Huang Chao-Ming, Huang Ching-Lien. Identification of ARMAX Model for Short Term Load Forecasting : An Evolutionary Programming Approach. IEEE Trans on Power Systems , 1996,11(1):403~408.
[35] Chao-Ming Huang, Chi-Jen Huang, Ming-Li Wang. A Particle and Swarm Optimization to Identifying the ARMAX Model for Short-Term Load Forecasting. IEEE Trans on Power Systems ,2005,20(2):1126~1133.
[36] 董秀成,李芹. BP 算法在电力系统短期负荷预测中的应用[J]. 仪器仪表学报,2003,24(4): 379~391.
[37] 徐军华,刘天琪. 基于小波分解和人工神经网络的短期负荷预测[J]. 电网技术,2004,28(8):30~33.
[38] 谢宏,陈志业,牛东晓等. 基于小波分解与气象因素影响的电力系统日负荷预测模型研究[J]. 中国电机工程学报,2001,21(5):5~10.
[39] 王志征,余岳峰,姚国平. 基于主成分分析法和自适应神经模糊推理系统的电力负荷预测[J]. 电力自动化设备. 2003,23(9).
[40] 张宝庆,程浩忠,刘青山等.基于粗糙集属性约简算法和支持向量机的短期负荷预测[J].电网技术,2006,30(8): 56~60.
[41] 牛东晓,谷志红,刑棉等.基于数据挖掘的 SVM 短期负荷预测方法研究[J].电机工程学报,2006,26(18):6~12.
[42] 胡国胜,任震. 基于支持向量机混合模型的短期负荷预测方法[J]. 高电压技术,2006,32(4):101~103.
[43] 龚灯才,李训铭,李林峰. 基于模糊支持向量机方法的短期负荷预测[J] 电力自动化设备,2005,25(7):41~43.
[44] 中国电力企业家协会供电分会. 配电线路.中国电力出版社,2000.
[45] 苑舜,王乘玉,海涛,陈勇,配电网络开关设备. 中国电力出版社,2007.
[46] 马维新,电力系统电压. 中国电力出版社,1998.
[2] 宋蒙, 刘健, 刘巩权. 基于优化分区的城市配电网架规划[J]. 继电器, 2005, 33 (23): 31~35.
[3] 朱涛, 肖峻, 王成山. 计及通道因素的城市中压配电网络规划[J]. 继电器, 2007, 35 (13): 33~38.
[4] 王成山, 王赛一. 基于空间 GIS 和 Tabu 搜索技术的城市中压配电网珞规划[J]. 电网技术, 2004, 28 (14): 68~78.
[5] 王赛一, 王成山. 基于多目标模型的城市中压配电网络规划[J]. 中国电力, 2006, 39 (11): 46~50.
[6] 李欣然, 刘友强, 朱湘友等. 地区中压配电网容载比的研究[J]. 继电器, 2006, 34 (7): 47~50.
[7] 肖峻, 高海霞, 葛少云等. 城市中压配电网评估方法与实例研究[J]. 电网技术, 2005, 29 (20): 77~81.
[8] 肖峻, 王跃强, 王成山. 城市中压配电网接线模式识别[J]. 电网技术, 2003, 27 (10) : 92~95.
[9] 余肽鑫, 张崇见. 城市电网中压配电网变压器的模糊优化规划[J].中国电机工程学报, 2000, 20 (4): 23~28.
[10] 葛少云, 张菁, 陈丽君. 基于两联络接线模式的城市配电网联络线优化[J]. 电力系统及其自动化学报, 2007, 19 (5): 98~103.
[11] Y.X.Yu, C.S.Wang, J.Xiao el at. A Decision making support system for urban distribution planning: Models, methods and experiences [J].
[12] K. Nara, Y Hayashi, S.Muto, el at. a new algorithm for distribution feeder ecpansion planning for urban area [J]. Proceedings of the 4th international conference on advances in power system conrol, Hong Kong, November 1997.
[13] Xiaohu Tao, Hans Haubrich. A two-stage heuristic method for the planning of medium voltage distribution networks with large-scale distributed generation [J]. 9th international conference on probabilistic methods applied to power systems. 2006, 11~15.
[14] Snjezana Blagajac, Minea Filipec, Slavko Krajcar, el at. CADDIN = DATA + GIS + GA [J].
[15] M. Skok, S.Krajcar, D. Strlec. Dynamic planning of medium voltage open-loop distribution networks under uncertainty [J].
[16] H. Lee Wills, Linda A Finley, Michael J. Buri. Forecasting electric demand of distribution system planning in rural and sparsely populated regions [J]. IEEE Transactions on power systems, 1995, 10 (4): 2008~2013.
[17] Mo yuen chow, Hahn Tram. Methodology of urban re-development consideration sin spatial load forecasting [J].
[18] Cheng-shan Wang, Sai-yi Wang. The automatic routing system of urban mid-voltage distribution network based on spatial GIS [J]. 2004 international conference on power system technology, Singapore, 2004, 21~24.
[19] P.M.S. Carvalho, L.A.F.M. Ferreira. urban distribution network investment criteria for reliability adequacy [J]. IEEE transactions on power systems, 2004, 19 (2): 1216~1222.
[20] P. Heine, M. Lehtonen, E. Lakervi. Voltage sag analysis taken into account in distribution network design [J]. 2001 IEEE Porto power tech conference 10th -13th September, Porto, Portugal.
[21] M.E.E1-Hawary,Optimal power flow:solution techniques requirements and challenges,Operation economics working group system economic subcommittee power system engineering committee of the IEEE power engineering society,1996
[22] Shu T,Gross G.transmission loss compensation in multiple transaction network[J].IEEE Trans on Power Systems,2000,15(3):909-915
[23] 韩力, 韩学山, 贠志皓. 多节点超短期负荷预测方法[J]. 电力系统自动化, 2007, 21.
[24] 孙目清.分布式分层 BP 算法在短期负荷预测中的应用[J]. 电力自动化设备,1996,2:51~64.
[25] 李元诚,方廷健,于尔铿. 短期负荷预测的支持向量机方法研究[J]. 中国电机工程学报,2003,23(6):55~59.
[26] Chen Bo-juen, Chang Ming-wei, Lin Chih-jen. Load forecasting using support vector machine: A study on EUNTE competition 2001[J]. IEEE Transaction on Power Systems, 2004,19(4):1821~1830.
[27] 赵登福,王蒙,张讲社等. 基于支持向量机方法的短期负荷预测[J]. 中国电机工程学报, 2002,22(4):26~30.
[28] YE Bin, ZHU Chen-zhi, GUO Chuang-xin, et al. Generating Fuzzy Model for Short-Term Load Forecasting Using Hybrid Algorithm [J]. Automation of Electric Power Systems, 2006,30(2):32~40.
[29] Song Y H, Kin Chang-II, Yu In-Keun. Kohonen Neural Network and Wavelet Transform Based Approach to Short-term Load Forecasting [J]. Electric Power Systems Reserch,2002, 63(3):169~176.
[30] Srinivasan D, Swee Sien Tan, Chang C S,et al. Parallel Neural Networl-fuzzy Expert System for Short-term Load Forecasting: System Implementation and Performance Evaluation. IEEE Tran on Power Systems, 1999, 14(3).
[31] Yang Hong-Tzer, Huang Chao-Ming. New Short-term Load Forecasting Approach Using Self-organization Fuzzy ARMAX Models. IEEE Trans on Power Systems, 1998, 13(1): 217~225.
[32] 徐进东,丁晓群,邓勇. 基于相似日的线性外推短期负荷预测[J]. 继电器,2005, 33(7): 37~40.
[33] Haida T, Munto S. Regression Based on Peak Load Forecasting Using A Transformation Technique J.IEEE Trans on Power System,1994,9 (4):1788~1794.
[34] Yang Hong-Tzer, Huang Chao-Ming, Huang Ching-Lien. Identification of ARMAX Model for Short Term Load Forecasting : An Evolutionary Programming Approach. IEEE Trans on Power Systems , 1996,11(1):403~408.
[35] Chao-Ming Huang, Chi-Jen Huang, Ming-Li Wang. A Particle and Swarm Optimization to Identifying the ARMAX Model for Short-Term Load Forecasting. IEEE Trans on Power Systems ,2005,20(2):1126~1133.
[36] 董秀成,李芹. BP 算法在电力系统短期负荷预测中的应用[J]. 仪器仪表学报,2003,24(4): 379~391.
[37] 徐军华,刘天琪. 基于小波分解和人工神经网络的短期负荷预测[J]. 电网技术,2004,28(8):30~33.
[38] 谢宏,陈志业,牛东晓等. 基于小波分解与气象因素影响的电力系统日负荷预测模型研究[J]. 中国电机工程学报,2001,21(5):5~10.
[39] 王志征,余岳峰,姚国平. 基于主成分分析法和自适应神经模糊推理系统的电力负荷预测[J]. 电力自动化设备. 2003,23(9).
[40] 张宝庆,程浩忠,刘青山等.基于粗糙集属性约简算法和支持向量机的短期负荷预测[J].电网技术,2006,30(8): 56~60.
[41] 牛东晓,谷志红,刑棉等.基于数据挖掘的 SVM 短期负荷预测方法研究[J].电机工程学报,2006,26(18):6~12.
[42] 胡国胜,任震. 基于支持向量机混合模型的短期负荷预测方法[J]. 高电压技术,2006,32(4):101~103.
[43] 龚灯才,李训铭,李林峰. 基于模糊支持向量机方法的短期负荷预测[J] 电力自动化设备,2005,25(7):41~43.
[44] 中国电力企业家协会供电分会. 配电线路.中国电力出版社,2000.
[45] 苑舜,王乘玉,海涛,陈勇,配电网络开关设备. 中国电力出版社,2007.
[46] 马维新,电力系统电压. 中国电力出版社,1998.