基于聚类蚁群算法的动态无功优化  

Dynamic Reactive Power Optimization Based on Ant Colony Clustering Algorithm

作　　者：周鑫[1] 许守东[1] 段晓[2] 顾瑛[2] 

机构地区：[1]云南电网公司电力研究院,昆明650217 [2]国网南阳供电公司,河南南阳473000

出　　处：《云南电力技术》2014年第5期40-46,共7页Yunnan Electric Power

摘　　要：针对动态无功优化中需要限制电容器开关和有载分接开关(OLTC)分接头等离散控制设备动作次数要求,首先,提出离散控制设备无需动作时间概念,该方法统一考虑全天系统负荷变动情况,在保证离散控制设备动作效率基础上使全天动作次数满足要求。另外,将聚类方法与蚁群算法相融合提出聚类蚁群算法,该方法能够根据系统的变化,随时调整路径上的信息素更新浓度。最后,根据引出的路径多样性,可以防止因信息素的过度积累使算法早熟、减少算法搜索次数的优点,提出多时段间路径多样性的概念,以达到降低控制设备的动作次数。对IEEE 14节点和IEEE 30节点系统进行计算,结果验证了方法的可行性、正确性和有效性。The conception of unnecessarily action time （ UAT） is proposed,which unification considered the distribution changes of system’ s load rate,to make sure the movement number of times of equipment meet the request. Cluster ant colony optimization al-gorithm is proposed, which the cluster algorithm and ant colony optimization algorithm （ ACOA） are united. According to systematic change,this method cans adjustment the information of the paths. And the conception of Path diversity is proposed,which can pre-vent excessive accumulation of pheromones and decrease algorithm searches for number of times. The feasibility,validity and effec-tiveness of the algorithm are verified by the results of IEEE 14 bus and IEEE 30 bus distribution system.

关 键 词：动态无功优化 无需动作时间 聚类蚁群算法 路径多样性 

分 类 号：TM714.3[电气工程—电力系统及自动化]