摘要
配电网重构对于其安全、可靠、经济运行具有重要作用。围绕着重构算法智能高效的目标,提出可追踪配网结构变化和反映支路间关联顺序的拓扑动态辨识方法,并利用拓扑不可行性和网损间的潜在耦合关系,提出以虚拟网损融入重构指标和利用遗传仿电磁学算法求解的配电网重构新方法。算法特点:(1)不要求拓扑可行性;(2)对于不可行拓扑仅需以拓扑辨识为依据进行网损估算;(3)通过虚拟网损便捷地实现配网拓扑可行性和网损间的动态协调;(4)利用遗传仿电磁学算法近似下降搜索特性和遗传算子保持拓扑多样性的优势,可促进最优拓扑由非可行向可行快速迁移。以IEEE 16节点、IEEE 33节点和PG&E69节点、IEEE118节点4个不同规模系统进行仿真分析,结果表明算法具有快速的全局寻优能力。
Distribution systems were usually configured radically to make its safe, reliable and economical operation. A novel topology identification method was proposed to build the coupling relations among prohibited distribution topology and system power loss, which can chase of distribution network structure change. On base of the topology identification results, the novel distribution reconfiguration algorithm considering the latent coupling among system was proposed, which advantages lie in： （1） Don＇t need topology is feasible the strict feasibility topology; （2） Power loss of the prohibited distribution topology needn＇t to be computed exactly; （3） Dynamic coordination between the prohibited distribution topology and the network loss can be realized conveniently; （4） by using advantages of electromagnetism-like mechanism drop search features and diversity of genetic operators to maintain the topology, can promote the prohibited distribution topology rapid migration to optimal feasible topology. To verify the effectiveness of the proposed method, four examples comparative studies are executed on IEEE 16 bus, IEEE 33 bus, PGb-E69 bus and IEEEll8 bus distribution systems from literature with rather encouraging results.
出处
《电力学报》
2015年第3期247-257,共11页
Journal of Electric Power
基金
国家自然科学基金项目(51407035
51307025)
广东省自然科学基金(S2013040013776
S2012040007911)
广东省教育厅育苗工程项目(2013LYM_0019)
关键词
配电网络
配电网重构
配电网网损
拓扑辨识
多信息融合
仿电磁学算法
遗传算子
distribution network
reconfiguration
distribution network loss
topology identification
multi-information integration
electromagnetism-like mechanism （ELM）
genetic operator
