含微网配电网的综合优化规划研究

doi:10.11930/j.issn.1004-9649.201604052

中国电力 ›› 2018, Vol. 51 ›› Issue (2): 118-121.DOI: 10.11930/j.issn.1004-9649.201604052

含微网配电网的综合优化规划研究

王艳松¹, 孙明鸿²

1. 中国石油大学信息与控制工程学院, 山东青岛 266580;
2. 国网山东省电力公司烟台市牟平区供电公司, 山东烟台 264100

收稿日期:2016-04-12 修回日期:2017-09-28 出版日期:2018-02-05 发布日期:2018-02-11
作者简介:王艳松(1965—),女,山东蓬莱人,教授,从事电网优化规划、电网故障分析与定位及电能质量分析与治理研究,E-mail:wys91517@163.com;孙明鸿(1991—),女,吉林桦甸人,硕士,从事配电网规划研究,E-mail:smh911031@sina.com。

Research on Comprehensive Optimization for Distribution Network with Micro-Grid

WANG Yansong¹, SUN Minghong²

1. College of Information and Control Engineering, China University of Petroleum, Qingdao 266580 China;
2. Muping Electric Supply Company, State Grid Shandong Electric Power Company,Yantai 264100, China

Received:2016-04-12 Revised:2017-09-28 Online:2018-02-05 Published:2018-02-11

摘要/Abstract

摘要： 协同规划分段开关、联络线和微网接入点能缩小配电网故障停电范围、实现负荷转供，减小停电损失。提出以线路段为单元的含微网配电网的停电损失计算方法，建立用户停电损失数学模型；以分段开关和联络线等值年投资维护费用与用户年停电损失之和最小为目标函数建立数学模型；应用协同进化遗传算法对分段开关、联络线位置以及微网接入点进行综合优化规划；分析了协同进化遗传算法在配电网综合规划应用中的主要流程和关键技术；结合IEEE33节点算例和工程实例进行仿真分析，对不同规划方案的优化结果进行各项经济指标的对比分析，验证了算法的有效性。

关键词: 关键词：树状配电网, 分段开关, 联络线, 微网, 协同进化遗传算法

Abstract: The coordinated optimization of switches, tie lines and micro-grid connection point is a main method to narrow outage range, transfer loads and reduce outage cost when fault happens. The mathematic model of comprehensive optimization for distribution network is founded, which includes the cost of switches and tie lines along with user outage cost. The line segment is selected as basic unit in outage cost calculation. The comprehensive optimization is solved by co-evolutionary genetic algorithm. Key technologies and main flow of co-evolutionary genetic algorithm application are studied in distribution network comprehensive optimization. The economic comparison analysis results on IEEE33 node system and practical engineering projects distribution show the effectiveness of proposed algorithm.

Key words: tree distribution network, section switch, tie line, micro-grid, co-evolutionary genetic algorithm

中图分类号:

TM715

王艳松, 孙明鸿. 含微网配电网的综合优化规划研究[J]. 中国电力, 2018, 51(2): 118-121.

WANG Yansong, SUN Minghong. Research on Comprehensive Optimization for Distribution Network with Micro-Grid[J]. Electric Power, 2018, 51(2): 118-121.

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参考文献

[1] 刘海波,胡滨,王旭阳. 关于“十三五”配电网发展的思考[J]. 中国电力,2015,48(1):21-24.
LIU Haibo, HU Bin, WANG Xuyang. Considerations of distribution network development for the 13th Five-Year Period [J]. Electric Power, 2015, 48(1): 21-24.
[2] 张静. 中压架空馈线开关优化规划模型及算法研究[D]. 重庆：重庆大学,2014.
[3] BOARDMAN J T, MECKIFF C C. A branch and bound formulation to an electricity distribution planning problem[J]. IEEE Transactions on Power Apparatus & Systems, 2007, PAS-104(8): 2112-2118.
[4] SAHOO N C, GANGULY S, DAS D. Multi-objective planning of electrical distribution systems incorporating sectionalizing switches and tie-lines using particle swarm optimization [J]. Swarm and Evolutionary Computation, 2012, 3(2): 15-32.
[5] 葛少云,李建芳,张宝贵. 基于二分法的配电网分段开关优化配置[J]. 电网技术,2007,31(13):44-49.
GE Shaoyun, LI Jianfang, ZHANG Baogui. Optimal configuration of sectional switches in distribution network based on bisection method [J]. Power System Technology, 2007, 31(13): 44-49.
[6] 柴伟威. 计及分布式电源的配电网开关优化规划研究[D]. 北京：华北电力大学,2011.
[7] 胡吟,韦钢,言大伟,等. 分布式电源在配电网中的优化配置[J]. 电力系统保护与控制,2012,40(11):100-105.
HU Yin, WEI Gang, YAN Dawei, et al. Optimization allocation of distributed generations embedded in distribution network[J]. Power System Protection and Control, 2012, 40(11): 100-105.
[8] 曾鸣,杜楠,张鲲,等. 基于多目标静态模糊模型的分布式电源规划[J]. 电网技术,2013,37(4):954-959.
ZENG Ming, DU Nan, ZHANG Kun, et al. Distributed generation planning based on multiobjective static fuzzy model [J]. Power System Technology, 2013, 37(4): 954-959.
[9] GANGULY S, SAHOO N C, DAS D. A novel multi-objective PSO for electrical distribution system planning incorporating distributed generation[J]. Journal of Energy Systems, 2010, 1(3): 291-337.
[10] 颜伟,吕冰,赵霞,等. 分布式风电源与配网联络线协调规划[J]. 电力系统保护与控制,2013,41(15):1-6.
YAN Wei, LU Bing, ZHAO Xia, et al. Coordinated allocation of DGs and tie lines in distribution networks[J]. Power System Protection and Control,2013,41(15):1-6.
[11] 李锋,陆一川. 大规模风力发电对电力系统的影响[J]. 中国电力,2006,39(11):80-84.
LI Feng, LU Yichuan. Influences of large-scale wind energy converters on transmission systems[J]. Electric Power, 2006, 39(11): 80-84.
[12] 周天睿,王旭,张谦,等. 大规模风电对江苏电网规划影响的实证分析[J]. 中国电力,2010,43(2):11-15.
ZHOU Tianrui, WANG Xu, ZHANG Qian, et al. Empirical research on impact of large-scale wind power on Jiangsu power system planning [J]. Electric Power, 2010, 43(2): 11-15.
[13] 时珊珊,鲁宗相,周双喜,等. 中国微电网的特点和发展方向[J]. 中国电力,2009,42(7):21-25.
SHI Shanshan, LU Zongxiang, ZHOU Shuangxi, et al. Features and developments of microgrids in China[J]. Electric Power,2009, 42(7): 21-25.
[14] 郑漳华,艾芊. 微电网的研究现状及在我国的应用前景[J]. 电网技术,2008,32(16):27-31,58.
ZHENG Zhanghua, AI Qian. Present situation of research on microgrid and its application prospects in China[J]. Power System Technology, 2008, 32(16): 27-31, 58.
[15] 刘壮志. 含微电网的智能配电网规划理论及其应用研究[D]. 北京：华北电力大学,2013.
[16] 王艳松,陈国明,张加胜,等. 基于小生境遗传算法的配电网开关优化配置[J]. 电工技术学报,2006,21(5):82-86.
WANG Yansong, CHEN Guoming, ZHANG Jiasheng, et al. Optinal switching device placement based on niche genetic algorithm in distribution networks [J]. Transactions of China Electrotechnical Society, 2006, 21(5): 82-86.
[17] 李游,常鲜戎. 考虑馈线自动布局和联络接线费用的配电网智能规划[J]. 电力系统自动化,2012,36(14):30-35.
LI You, CHANG Xianrong. Distribution network intelligent planning considering feeder line automatic layout and tie-line wiring investment [J]. Automation of Electric Power Systems, 2012, 36(14): 30-35.
[18] POTTER A M, DE JONG K A. A cooperative co-evolutionary approach to function optimization[C]//Proc of the 3rd International Conference on Parallel Problem Solving from Nature, 1994: 249-257.

含微网配电网的综合优化规划研究

Research on Comprehensive Optimization for Distribution Network with Micro-Grid

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Research on Comprehensive Optimization for Distribution Network with Micro-Grid

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