基于CPGA的网架重构协调优化方法  

Coordinative optimization method of network reconfiguration based on CPGA

作　　者：刘文轩[1] 顾雪平[1] 董金哲[1] 

机构地区：[1]华北电力大学电气与电子工程学院,河北保定071003

出　　处：《中国科技论文》2016年第11期1295-1299,共5页China Sciencepaper

基　　金：国家自然科学基金资助项目(51277076);高等学校博士学科点专项科研基金资助项目(20110036110007);中央高校基本科研业务费专项资金资助项目(13XS24)

摘　　要：针对电网大停电后机组、负荷与线路的动态协调恢复问题,提出了一种综合考虑恢复时间与恢复效果的网架重构协调优化方法。通过考虑机组、负荷的拓扑重要度和其自身的特性,定义机组的加权恢复效率指标和负荷的非线性恢复价值指标,以每个时步恢复的机组与负荷综合重要度最高,以及所要操作的线路数最少为目标,并结合各项约束条件建立网架重构协调优化模型;以有利于系统出力恢复、提高网架重构速度的方式,对系统内的机组、负荷、线路进行统一优化,保证了重构过程的可靠性、简洁性,利于进行后续重构过程;应用具有较好群多样性、计算稳定性和对多峰值问题实用性的粗粒度并行遗传算法(coarse-grained parallel genetic algorithm,CPGA)对所建立的模型进行求解。最后,采用新英格兰10机39节点系统对所提方法进行验证。结果表明,该方法可以快速有效地求得满意的恢复方案。To realize the coordinative recovery between units and loads after blackout,a multiple time-step method was applied to hierarchical network reconfiguration in this paper.Considering the recovery characteristics of unit and load,the indexes of units＇ recovery efficiency and load recovery value were defined.In each time-step,comprehensive importance of nodes and the number of lines put into operation were regarded as the objective functions.At the same time,combined with the constraints of power and time,an optimization model of network reconfiguration was established.The coarse-grained parallel genetic algorithm（CPGA）,which has been proved to be more diverse in group,more stable in calculation and more suitable in multimodal problem,was used to solve the optimization model.Finally,the proposed coordinative optimization model was proved to be feasible and effective by New England 10-unit 39-bus power system.

关 键 词：网架重构 协调优化 综合重要度评价 网架恢复操作 粗粒度并行遗传算法 

分 类 号：TM711[电气工程—电力系统及自动化]