包含分布式电源的配电网无功优化

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (392 KB)
输出: BibTeX | EndNote (RIS)

摘要将能够提供无功功率的分布式电源与传统的电压调节手段相结合, 研究了包含分布式电源的配电网无功优化问题。利用基于聚类和竞争克隆机制的多智能体免疫算法实现无功优化, 建立了无功优化问题的多智能体免疫模型。利用多智能体系统实现在寻优过程中动态改变抗原, 在亲和度成熟过程中引入聚类竞争克隆机制和混合变异算子, 以保存种群的多样性, 同时保证算法能够较快的收敛。通过改进的IEEE 33节点系统的仿真计算, 表明利用分布式电源对电网进行无功补偿能较大程度地降低系统有功损耗, 并且证明了所提算法的快速性和有效性。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	张丽
	徐玉琴
	王增平
	李雪冬
	李鹏

关键词 ：配电系统, 无功优化, 多智能体, 免疫算法, 分布式发电

Abstract：By integrating the reactive power of the distributed generators (DGs) to be the control variables, the reactive power optimization problem in distribution power system with DGs is discussed. Multi-agent immune algorithm based on the mechanism of antibody cluster and compete expansion is proposed to solve the reactive power optimization problem. Its model based on multi-agent immune algorithm is established. The antigens could be changed dynamically as quickly as it could in the process of searching for the best solution due to the efficient multi-agent system. To quickly obtain the global optimum and local optimum, this algorithm adopts the ideas of antibody cluster, compete expansion and antibody mixed mutation in the process of affinity maturation. Through those operators, the variety of antibody is enhanced. Simulation is carried out based on a modified IEEE 33-bus system, and the results show the efficiency and quickness of the algorithm.

Key words： Distribution system reactive power optimization multi-agent immune algorithm distributed generation

收稿日期: 2009-07-07 出版日期: 2014-03-07

PACS:

TM714

基金资助:国家自然科学基金资助项目(50977029)。

作者简介: 张丽女, 1983年生, 博士, 讲师, 研究方向为包含分布式电源的配电网供电恢复及控制。徐玉琴女, 1964年生, 教授, 主要研究方向为电力系统分析与控制、电力系统继电保护等。

引用本文:

张丽, 徐玉琴, 王增平, 李雪冬, 李鹏. 包含分布式电源的配电网无功优化[J]. 电工技术学报, 2011, 26(3): 168-174. Zhang Li, Xu Yuqin, Wang Zengping, Li Xuedong, Li Peng. Reactive Power Optimization for Distribution System With Distributed Generators. Transactions of China Electrotechnical Society, 2011, 26(3): 168-174.

链接本文:

http://dgjsxb.ces-transaction.com/CN/Y2011/V26/I3/168

[1] 王志群, 朱守真, 周双喜, 等．分布式发电对配电网电压分布的影响[J]．电力系统自动化, 2004, 28(16)：56-60．
Wang Zhiqun, Zhu Shouzhen, Zhou Shuangxi, et al. Impacts of distributed generation on distribution system voltage profile[J]．Automation of Electric Power Systems, 2004, 28(16)：56-60．
[2] 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 system with distributed generation[J]．Automation of Electric Power Systems, 2006, 30(14)：20-24．
[3] 裴玮, 盛鹍, 孔力, 等．分布式电源对配网供电电压质量的影响与改善[J]．中国电机工程学报, 2008, 28(13)：152-157．
Pei Wei, Sheng Kun, Kong Li, et al．Impact and improvement of distributed generation on distribution network voltage quality[J]．Proceedings of the CSEE, 2008, 28(13)：152-157．
[4] Vu Van Thong, Johan Driesen, Ronnic Belemans. Using distributed generation to support and provide ancillary services for the power system[C]. 2007 International Conference on Clean Electric Power, NJ, USA, 2007：159-163．
[5] Braun M．Reactive power supply by distributed generators[C]．2008 IEEE Power and Energy Society General Meeting, Pittsburgh, USA, 2008：1-8．
[6] 汪海宁, 苏建徽, 张国荣, 等. 光伏并网发电及无功补偿的统一控制[J]. 电工技术学报, 2005, 20(9)：114-118.
Wang Haining, Su Jianhui, Zhang Guorong, et al. Unitive control of PV connected generation and reactive compensation[J]. Transactions of China Electrotechnical Society, 2005, 20(9)：114-118.
[7] Taher Niknam．A novel approach based on ant colony optimization for daily volt/var control in distribution networks considering distributed generators[J]. Energy Conversion and Management, 2008, 49：3417-3424．
[8] Niknam T, Ranjbar A M, Shirani A R．Impact of distributed generation on volt/var control in distribution networks[C]．IEEE Bologna Power Tech Conference Proceeding, 2003：1-6．
[9] 颜伟, 孙渝江, 罗春雷, 等．基于专家经验的进化规划方法及其在无功优化中的应用[J]．中国电机工程学报, 2003, 23(7)：76-80．
Yan Wei, Sun Yujiang, Luo Chunlei, et al．Ep based on specialist experience and its application to var optimization[J]．Proceedings of the CSEE, 2003, 23(7)：76-80．
[10] 刘玉田, 马莉．基于Tabu搜索方法的电力系统无功优化[J]．电力系统自动化, 2000, 24(1)：61-64．
Liu Yutian, Ma Li．Reactive power optimization based on Tabu search approach[J]．Automation of Electric Power Systems, 2000, 24(1)：61-64．
[11] 向铁元, 周青山, 李富鹏, 等．小生境遗传算法在无功优化中的应用研究[J]．中国电机工程学报, 2005, 25(17)：48-51．
Xiang Tieyuan, Zhou Qingshan, Li Fupeng, et a1．Research on niche genetic algorithm for reactive power optimization[J]．Proceedings of the CSEE, 2005, 25(17)：48-51．
[12] 熊虎岗, 程浩忠, 李宏仲．基于免疫算法的多目标无功优化[J]．中国电机工程学报, 2006, 26(11)：102-109．
Xiong Hugang, Cheng Haozhong, Li Hongzhong. Multi-objective reactive power optimization based on immune algorithm [J]. Proceedings of the CSEE, 2006, 26(11)：102-l09．
[13] Bond A H, Gasser L．Reading in distributed artificial intelligence[M]. San Mateo: Morgan Kaufmann Publishers, 1988．
[14] 钱海, 马建辉, 王煦法．一种新的免疫协同多agent模型及其仿真分析[J]．系统仿真学报, 2008, 20(13)：3436-3444．
Qian Hai, Ma Jianhui, Wang Xufa．Novel immune cooperative multi-agent model and its simulation analysis[J]．Journal of System Simulation, 2008, 20(13)：3436-3444．
[15] 徐雪松, 章兢, 贺庆．一种改进的免疫克隆选择的优化方法[J]．系统仿真学报, 2008, 20(6)：1536-1540．
Xu Xuesong, Zhang Jing, He Qing．Novel immune clonal selection optimization programming[J]．Journal of System Simulation, 2008, 20(6)：1536-1540．
[16] 刘健, 毕鹏翔, 董海鹏．复杂配电网简化分析与优化[M]．北京：中国电力出版社, 2002.
[17] 林济铿, 李鸿璐, 罗姗姗, 等. 基于自适应免疫算法的电力系统无功优化[J]. 天津大学学报, 2007, 40(1)：110-115.
Lin Jikeng, Li Honglu, Luo Shanshan, et al. Reactive power optimization of power system based on adaptive immune algorithm[J]. Journal of Tianjin University, 2007, 40(1)：110-115.