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作 者:赵俊光[1] 王主丁[1,2] 张宗益[1,2] 周昱甬[3] 王骏海
机构地区:[1]重庆大学输配电装备及系统安全与新技术国家重点实验室,重庆市400044 [2]重庆大学电力能源技术经济研究院,重庆市400044 [3]杭州市电力局,浙江省杭州市310009 [4]杭州市电力设计院有限公司,浙江省杭州市310009
出 处:《电力系统自动化》2009年第23期69-74,共6页Automation of Electric Power Systems
基 金:科学技术部科技型企业技术创新基金资助项目(06C26225110507)~~
摘 要:基于遗传算法和辐射状配电网的特点,提出一种新颖的将确定性方法和随机性方法有机组合的配电网无功规划优化混合算法。该算法通过综合考虑经济效益和电压约束,提出一种动态确定节点补偿容量上限的有效方法,将其用于初始种群的生成,可自动确定补偿节点总数及各补偿节点补偿组数的上限值,有效压缩了算法搜索空间,并使得由此生成的初始种群中绝大部分为可行解。针对补偿经济效益与电压质量两者之间的相互关系,提出一种分阶段寻优策略,并引入惩罚因子自适应调整机制。另外,在该算法中还有机融入了模拟退火法、智能优化交叉策略及动态灾变机制,并提出了节点最大补偿容量动态阈值校对机制,有效改善了算法寻优的速度、质量及精度。对IEEE 33节点系统和多个实际系统算例分析验证了所提出的算法在工程应用中的优越性及实用性。Based on the features of the genetic algorithm and radial distribution structure, a novel hybrid algorithm for reactive power planning optimization in distribution networks is proposed in which the determinate and stochastic features are organically combined. By adopting a method of dynamic upper limit to node compensation out of consideration for both economic benefits and voltage quality, the problem of determining the upper limit and the total number of candidate nodes beforehand by experience is solved and the resulting initial population could become mostly feasible. For the voltage quality problem, a strategy for optimization by stages is proposed in which the adaptive adjustment mechanism of penalty factors is used. Moreover, simulated annealing, an optimization crossing method and a dynamic disaster mechanism are employed in the proposed hybrid algorithm in addition to a dynamic threshold verification mechanism of node maximum compensation capacities. The validity and effectiveness of the proposed algorithm is demonstrated by an IEEE 33-bus test system and several real radial distribution networks.
关 键 词:无功规划优化 节点补偿容量上限 节点补偿组数上限 电压质量
分 类 号:TM715[电气工程—电力系统及自动化] TM744
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