摘要
提出一种节点重要度综合评价新方法,并在此基础上发展了网络重构多目标双层优化模型。在上层优化模型中,以最大化系统可用发电容量确定发电节点恢复顺序;在下层确定恢复路径的多目标优化模型中,以最大化恢复路径的平均重要度和最小化路径的充电电容为目标,并考虑了线路恢复时间对机组恢复的影响。提出一种基于细胞生理特性的连续动态Pareto多步凋亡优化策略(MSAOS),其将整个电力系统网络重构划分为多步,每步的优化问题规模和难度都较小,且可在一定程度上避免维数灾问题;利用该策略进行多目标网络重构优化,可以在兼顾全局最优的基础上实现发电节点恢复路径优化的分段最优,并能以分支图的形式展示恢复优化过程中的网络重构策略集。利用模糊决策(FDM)方法优化出最终网络重构策略。以新英格兰10机39节点系统和广州电力系统为例,说明了所发展的模型和方法的基本特征。
First,a modified method for evaluating the importance of each node is presented,and a multi-obj ective bi-level optimization model for the network reconfiguration is proposed.In the upper-level optimization model,the start-up sequence of generating units is determined by maximizing the restored generation capacity.While in the lower-level,the restoration path is optimized by maximizing the average importance of the candidate restoration path and minimizing the charging capacitance of the same path,and in the formulation the impacts of the restoration path on the restoration of generating units are taken into account.A continuous dynamic Pareto multi-step apoptosis optimization strategy (MSAOP) is next proposed to solve the multi-obj ective optimization problem of the network reconfiguration problem with multi-step restoration by simulating the physiological characteristics of the cell,and in this way the scale and difficult degree of the optimization problem to be solved can be reduced,and the possible curse of dimensionality avoided as well.This optimization strategy focuses on the stage-wise optimal solution in the restoration path of the generating units,while the global optimality is also taken into account.In addition,the set of network reconfiguration strategies obtained in the restoration procedure can be depicted in the form of a branch graph.Then,a fuzzy decision-making (FDM) method is employed to determine the final network reconfiguration strategy.Finally,the New England 10-unit 39-bus power system and Guangzhou power system are employed to demonstrate the feasibility and efficiency of the developed model and method.
出处
《电力系统自动化》
EI
CSCD
北大核心
2014年第7期29-38,共10页
Automation of Electric Power Systems
基金
国家高技术研究发展计划(863计划)资助项目(2011AA05A105)
国家自然科学基金资助项目(51007080
51377005)
中央高校基本科研业务费专项资金资助项目(2012QNA4011)
国家电网公司科技项目(5211011306TB)~~
关键词
网络重构
节点重要度
动态Pareto
多步凋亡优化策略
模糊决策
电力系统
network reconfiguration
node importance
dynamic Pareto
multi-step apoptosis optimization strategy(MSAOP)
fuzzy decision-making
power systems
