基于多Agent技术的分布式电压无功优化控制系统DISTRIBUTED OPTIMAL VOLTAGE/REACTIVE POWER CONTROL SYSTEM BASED ON MULTI-AGENT SYSTEM
曹立霞,厉吉文,程新功,刘雪连
摘要(Abstract):
全网电压无功控制是一个复杂的、分布式的优化控制问题,为了更好地解决这个问题,文章提出了基于多Agent技术的分布式电压无功优化控制系统,该系统符合电压无功控制装置分散配置的特点,Agent之间相互协调,根据辅助问题原理进行全网并行无功优化计算,数据通信量少,收敛速度快。Agent根据优化计算结果自动调整电压无功模糊判据的控制范围,进行电压无功实时控制,自学习能力强。该系统功能强大,具有较高的适应性、灵活性、智能性和可扩展性。
关键词(KeyWords): 电力系统;电压/无功优化控制;辅助问题原理;多Agent系统
基金项目(Foundation):
作者(Author): 曹立霞,厉吉文,程新功,刘雪连
Email:
DOI: 10.13335/j.1000-3673.pst.2004.07.008
参考文献(References):
- [1] Balho H K, Ross B. Coarse-grained distributed optimal power flow[J]. IEEE Trans on Power Systems, 1997, 12(2) : 932-939.
- [2] Wooldridge M J, Jennings N R. Intelligent agents: theory and practice[J]. Knowledge Engineerings Review, 1995, 10(2) : 115-152.
- [3] 范玉顺,曹军威(Fan Yushun,Cao Junwei).多代理系统理论、方法与应用(Multi-agent systems theory,method and applications)[M].北京:清华大学出版社,旌普林格出版社(Beijing:TsinghuaUniversity Press,Springer Press),2002.
- [4] 厉吉文,潘贞存,李红梅,等(Li Jiwen,Pan Zhencun,Li Hongmeiet al).变电所电压和无功自动调节判据的研究(Study and analysison substation voltage and reactive power automatic regulating criteria)[J].中国电力(Electric Power),1995,28(7) :12-15,40,
- [5] 朱春明,刘明波,裴爱华,等(Zhu Chunming,Liu Mingbo,Pei Aihuaet al).变电站电压无功控制范围的整定计算方法(Setting method forcontrol range of voltage and reactive power in substations)[J].电力系统自动化(Automation of Electric Power Systems),2003,27(8) :70-74.
- [6] Lee K Y, Park Y M, Ortiz JL. A united approach to optimal real and reactive power dispatch[J]. IEEE Trans on Power Apparatus System, 1985, 104(5) : 1147-1153.
- [7] 马晋韬,Lai L L,杨以涵(Ma Jintao,Lai L L,Yang Yihan).遗传算法在电力系统无功优化中的应用(Application of geneticalgorithm in reactive power optimization)[J].中国电机工程学报(Proceedings of the CSEE),1995,15(5) :347-353.
- [8] Yu C, Atif S D, Roy E M. A direct nonlinear predictor-corrector primal-dual interior point algorithm for optimal power flows[J]. IEEE Trans on Power Systems, 1994, 9(2) : 876-883.
- [9] Javier C, Arturo L, Mario R et al. Simulation and evaluation of optimization problem solutions in distributed energy management systems[J]. IEEE Trans on Power Systems, 2002, 17(1) : 57-62.