多负荷水平下含风电接入的配电网无功优化

doi:10.11930/j.issn.1004-9649.2017.03.137.06

中国电力 ›› 2017, Vol. 50 ›› Issue (3): 137-142.DOI: 10.11930/j.issn.1004-9649.2017.03.137.06

多负荷水平下含风电接入的配电网无功优化

姜凤利¹, 张鑫², 王俊¹, 朴在林¹

1. 沈阳农业大学信息与电气工程学院,辽宁沈阳 110866;
2. 国网辽宁电力公司营口供电公司,辽宁营口 115002

收稿日期:2016-06-13 出版日期:2017-03-20 发布日期:2017-03-17
作者简介:姜凤利（1980—）,女,辽宁普兰店人, 博士,讲师,从事含分布式电源的配电网无功优化研究。E-mail:fengli0308@163.com
基金资助:
国家科技支撑计划资助项目（2012BAJ26B01）; 辽宁省教育厅科研项目（L2013260）; 辽宁省博士启动基金（201601106）

Reactive Power Optimization of Distribution System Integrated with Wind Power under Multiple Load Levels

JIANG Fengli¹, ZHANG Xin², WANG Jun¹, PIAO Zailin¹

1. College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China;
2. Yingkou electric power company, Yingkou 115002, China

Received:2016-06-13 Online:2017-03-20 Published:2017-03-17
Supported by:
This work is supported by the the National Science-Technology Support Plan Projects; the Scientific Research Project of Liaoning Province Department of Education; Doctoral Scientific Research Foundation of LiaoNing Province

摘要/Abstract

摘要： 由于风电输出功率的随机性,风电机组的大量接入给配电网无功优化带来更多不确定性因素。为了提高配电网无功优化对风力发电并网的适应能力,建立了多负荷水平下基于场景分析的考虑风电接入的多目标无功优化模型。该模型综合考虑了节省电能损失费用和节点电压偏差2个指标,将2个指标进行模糊化,采用最大化模糊满意度指标法将多目标优化问题转换为单目标优化问题,然后采用自适应遗传算法进行求解。并以IEEE 33节点测试系统为例,计算和分析了在不同场景时最大负荷、一般负荷和最小负荷3种负荷水平下,电容器投切、系统有功损耗、节点电压以及节省电能费用情况。计算结果表明,所提出的无功模糊优化方法,在不同负荷水平、不同场景下改善电压质量和降损节能效果显著,适合多负荷水平下含风电机组的配电网无功优化需要。

关键词: 配电网络, 无功补偿, 风力发电, 多负荷水平, 模糊建模, 自适应遗传算法

Abstract: Due to the random feature of wind power, the access of large numbers of wind turbines brings high uncertainties to the reactive power optimization of distribution network. In order to improve the adaptability of reactive power optimization to the wind turbines, this paper proposes a new model for multi-objective reactive power optimization of distribution systems integrated with wind power based on scenario analysis under multiple load levels. Two indexes, including net savings and nodes voltage deviation, are synthetically considered in the model. Through fuzzing of the two indexes, the maximum fuzzy satisfaction index method is used to transform the multi-objective optimization problem into a single objective problem, which is then solved by the adaptive genetic algorithm. By using a 33-bus testing system as an example, the capacitor switching, power loss, node voltage and net savings are analyzed with the proposed algorithm under different scenarios and three load levels, including maximum load, normal and minimum load. The case study shows that the proposed model and method can effectively improve the voltage profile of distribution system and significantly reduce the power loss, and can be applied to the reactive power optimization of distribution system integrated with wind power generators under multiple load levels.

Key words: distribution power system, reactive power compensation, wind power generation, multiple load levels, fuzzy modeling, adaptive genetic algorithm

中图分类号:

TM727.1

姜凤利, 张鑫, 王俊, 朴在林. 多负荷水平下含风电接入的配电网无功优化[J]. 中国电力, 2017, 50(3): 137-142.

JIANG Fengli, ZHANG Xin, WANG Jun, PIAO Zailin. Reactive Power Optimization of Distribution System Integrated with Wind Power under Multiple Load Levels[J]. Electric Power, 2017, 50(3): 137-142.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.2017.03.137.06

https://www.electricpower.com.cn/CN/Y2017/V50/I3/137

参考文献

[1] 许文超,郭伟. 电力系统无功优化的模型及算法综述[J]. 电力系统及其自动化学报,2004,15（1）：100-104.
XU Wenchao, GUO Wei. Summarize of reactive power optimization model and algorithm in electric power system[J].Proceedings of the CSU-EPSA, 2004, 15(1): 100-104.
[2] 周晓娟,蒋炜华,马丽丽. 基于改进遗传算法的电力系统无功优化[J]. 电力系统保护与控制,2010,38（7）：37-41.
ZHOU Xiaojuan, JIANG Weihua, MA Lili. Reactive power optimization of power system based on improved genetic algorithm[J]. Power System Protection and Control, 2010, 38(7): 37-41.
[3] ANTUNES C H, PIRES D F, BARRICO C, et al . A multi- objective evolutionary algorithm for reactive power compensation in distribution networks [J]. Applied Energy, 2009, 86(7): 977-984.
[4] RAJU M R, MURTHY K V S R, RAVINDRA K. Direct search algorithm for capacitive compensation in radial distribution systems[J]. International Journal of Electrical Power & Energy Systems, 2012, 42(1): 24-30.
[5] HAQUE M H. Capacitor placement in radial distribution systems for loss reduction [J]. IEE Proceedings-Generation, Transmission and Distribution, 1999, 146(5): 501-505.
[6] BARAN M E, WU F F. Optimal capacitor placement on radial distribution systems[J]. IEEE Transactions on Power Delivery, 1989, 4(1): 725-734.
[7] EIJOO A E, CIDRAS J. Modeling of wind farms in the load flow analysis [J]. IEEE Transactions on Power Systems, 2000, 15(1): 110-115.
[8] DIVYA K C, RAO P. Models for wind turbine generating systems and their application in load flow studies[J]. Electric Power System Research, 2006, 76(9): 844-856.
[9] 徐鹏,刘文颖,赵子兰,等. 基于改进人工鱼群算法的含大规模风电电网无功优化[J]. 中国电力,2013,46（11）：8-11.
XU Peng, LIU Wenying, ZHAO Zilan, et al . Reactive voltage optimization of a complex power grid integrated with large-scale wind power by improved artificial fish swarm algorithm[J]. Electric Power, 2013, 46(11): 8-11.
[10] 于青,韩学山,杨思,等. 计及风电的动态无功优化解耦算法[J]. 中国电力,2013,46（11）：52-56.
YU Qing, HAN Xueshan, YANG Si, et al . Decoupling algorithm of dynamic reactive power optimization with consideration of wind power [J]. Electric Power, 2013, 46(11): 52-56.
[11] 陈琳,钟金,倪以信,等. 含分布式发电的配电网无功优化[J].电力系统自动化,2006,30（14）：20-24.
CHEN Lin, ZHONG Jin, NI Yixin, et al . Optimal reactive power planning of radial distribution systems with distribution generation[J]. Automation of Electric Power Systems, 2006, 30(14): 20-24.
[12] 赵晶晶,符杨,李东东. 考虑双馈电机风电场无功调节能力的配电网无功优化[J]. 电力系统自动化,2011,35（11）：33-38.
ZHAO Jingjing, FU Yang, LI Dongdong. Reactive power optimization in distribution network considering reactiove power regulation capability of DFIG wind farm[J]. Automation of Electric Power Systems, 2011, 35(11): 33-38.
[13] 陈海焱,陈金富,段献忠. 含风电机组的配网无功优化[J]. 中国电机工程学报,2008,28（7）：40-45.
CHEN Haiyan, CHEN Jinfu, DUAN Xianzhong. Reactive power optimization in distribution system with wind power generators[J]. Proceedings of the CSEE, 2008, 28(7): 40-45.
[14] 何禹清,彭建春,毛丽林,等. 含多个风电机组的配电网无功优化[J]. 电力系统自动化,2010,34（19）：37-41.
HE Yuqing, PENG Jianchun, MAO Lilin, et al . Reactive power optimization in distribution system with multiple wind power generators[J]. Automation of Electric Power Systems, 2010, 34(19): 37- 41.
[15] PATEL M R. Wind and solar power systems design, analysis, and operation [M]. CRC Press, 2008.

多负荷水平下含风电接入的配电网无功优化

Reactive Power Optimization of Distribution System Integrated with Wind Power under Multiple Load Levels

RichHTML

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	田宇, 黄婧, 谢枭, 王若昕, 沈丹青, 何丽娜, 杨凯帆, 陈汝科. 主动配电网无功补偿和OLTC鲁棒多目标优化配置[J]. 中国电力, 2023, 56(3): 94-99.
[2]	孙佳安, 李琳. 三相非正弦配电网的多重矢量功率理论及无功电流补偿策略[J]. 中国电力, 2023, 56(3): 109-117.
[3]	王霄鹤, 杨海超, 宋爽, 杨玉新, 殷贵, 王克. 海上风电场经66 kV海缆送出系统过电压机理[J]. 中国电力, 2023, 56(11): 29-37, 48.
[4]	陈子含, 滕伟, 胥学峰, 丁显, 柳亦兵. 基于图卷积网络和风速差分拟合的中长期风功率预测[J]. 中国电力, 2023, 56(10): 96-105.
[5]	祁升龙, 李磊, 何玉鹏, 朱林, 王放, 邹红波. 基于BSSSO算法的无功补偿容量优化方法[J]. 中国电力, 2023, 56(1): 106-111.
[6]	谢学渊, 刘潇潇, 李超, 胡资鹏, 刘铠, 陈涛. 考虑分布式电源和电动汽车集群调度的配电网络重构[J]. 中国电力, 2023, 56(1): 119-125.
[7]	周诗嘉, 杨光源, 彭光强, 武霁阳, 辛清明. 基于多相风力发电系统的容错控制策略研究[J]. 中国电力, 2022, 55(7): 134-141.
[8]	刘櫂芮, 贾祺, 严干贵, 翟文超, 孙勇, 李宝聚. 基于惯量响应的双馈风电机组动态协调机理研究[J]. 中国电力, 2022, 55(7): 142-151.
[9]	潘瑞媛, 唐忠, 史晨豪, 魏敏捷, 李安, 戴尉阳. 基于主从博弈的多主体投资多微网系统优化配置[J]. 中国电力, 2022, 55(6): 65-73,127.
[10]	李存斌, 董佳. 中国风力发电绩效的区域差异及空间计量分析[J]. 中国电力, 2022, 55(3): 167-176.
[11]	刘海涛, 陈彪, 朱林, 芦翔, 祁升龙, 邹红波. 考虑多种无功补偿装置协同优化的电压控制方法[J]. 中国电力, 2022, 55(11): 97-102.
[12]	王奔, 牛洪海, 徐卫峰, 陈俊. 2 MW永磁直驱风机主控系统的设计与应用[J]. 中国电力, 2021, 54(9): 208-220.
[13]	游广增, 李华瑞, 李常刚, 刘超, 钱迎春, 李玲芳. 计及风电高频保护的送端电网多直流协同频率控制[J]. 中国电力, 2021, 54(5): 83-90,110.
[14]	温才权, 全杰雄, 周凯, 潘龙斌, 李成. 大容量SVC相控电抗器对站用低压直流电源的影响分析及防范措施[J]. 中国电力, 2021, 54(12): 45-53.
[15]	付红军, 陈惠粉, 赵华, 王凯丰, 鲁宗相, 乔颖. 高渗透率下风电的调频技术研究综述[J]. 中国电力, 2021, 54(1): 104-115.

模态框（Modal）标题

多负荷水平下含风电接入的配电网无功优化

Reactive Power Optimization of Distribution System Integrated with Wind Power under Multiple Load Levels

RichHTML

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics