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基于遗传–模拟退火算法的配电网电容器优化配置 被引量:28

OPTIMAL CONFIGURATION OF CAPACITORS IN RADIAL DISTRIBUTION NETWORK BASED ON GENETIC-IMPROVED SIMULATED ANNEALING ALGORITHM
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摘要 随着配电网规模的不断扩大,传统的依照经验配置电容器的方法日显其局限性,具体表现在电容器容量配置得不足或过剩,更严重的情况是部分电容器需要投入时由于局部电压的限制而不能投入。将遗传–模拟退火算法用于解决配电网电容器优化配置问题,建立了相应的数学模型,目标函数为配电网有功网损费用、电容器的购置及安装费用总和最小,该算法将电容器的安装位置及安装容量离散化,并在初始方案种群产生和群体进化策略两方面对该算法作了改进,对一个30节点配电网的电容器优化配置结果表明了遗传–模拟退火算法的合理性和可行性。 Along with the continuous enlargement of distribution network the limitation of traditional experience based capacitor configuration reveals the lack or excess of configured capacitors, more seriously, when part of capacitors should be put into operation, they cannot be switched on because of the restriction of local voltage. The authors applied the genetic-simulated annealing algorithm to the solution of optimal capacitor configuration of distribution network and built up corresponding mathematical model, in which the minimized sum of minimum active power loss charge, the purchasing cost and the installation cost was the objective function. In this algorithm the positions where the capacitors were installed and the installed capacity of capacitors were discrete and the proposed algorithm was improved in both aspects of population generation and strategy of colony evolution strategy. The optimal capacitor configuration result of a 30-bus distribution network by the proposed algorithm showed that this algorithm was reasonable and feasible.
出处 《电网技术》 EI CSCD 北大核心 2005年第4期81-84,共4页 Power System Technology
关键词 配电网 无功补偿 功率因数 电力系统 遗传算法 模拟退火算法 Power system Distribution automation Distribution network Genetic-simulated annealing algorithm Capacitors Optimal configuration
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  • 1马晋弢,杨以涵.遗传算法在电力系统无功优化中的应用[J].中国电机工程学报,1995,15(5):347-353. 被引量:144
  • 2邓佑满,张伯明,相年德.配电网络电容器实时优化投切的逐次线性整数规划法[J].中国电机工程学报,1995,15(6):375-383. 被引量:45
  • 3于尔铿,刘广一,王明俊.配电系统自动化及其发展(四)──配电管理系统的应用软件[J].电网技术,1996,20(10):55-58. 被引量:7
  • 4康立山 谢云 等.非数值并行算法--模拟退火法[M].北京:科学出版社,1998..
  • 5孙宏波.电力网络规划[M].重庆:重庆大学出版社,1996.69-73.
  • 6邓建中 等.计算方法[M].西安:西安交通大学出版社,1996..
  • 7[1]Huang Y C, Yang H T, Huang C L. Solving the capacitor placement problem in a radial distribution system using tabu search approach [J]. IEEE Trans on Power Systems, 1996, 11(4):1868-1873.
  • 8[2]Kalyuzhny A, Levitin G, Elmakis D, et al. System approach to shunt capacitor allocation in radial distribution systems [J]. Electric Power Systems Research, 2000, 56(1):51-60.
  • 9[3]Sundhararajan S, Pahwa A. Optimal selection of capacitors for radial distribution systems using a genetic algorithm [J]. IEEE Trans on Power Systems, 1994, 9(3): 1499-1506.
  • 10[4]Kennedy J, Eberhart R. Particle swarm optimization[C]. Proceedings of IEEE International Conference on Neural Networks, Perth, Australia, 1995.

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