电力系统自动化
電力繫統自動化
전력계통자동화
AUTOMATION OF ELECTRIC POWER SYSTEMS
2014年
7期
29-38
,共10页
张璨%林振智%文福拴%薛禹胜%王函韵%吴鸣鸣
張璨%林振智%文福拴%薛禹勝%王函韻%吳鳴鳴
장찬%림진지%문복전%설우성%왕함운%오명명
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
網絡重構%節點重要度%動態Pareto%多步凋亡優化策略%模糊決策%電力繫統
망락중구%절점중요도%동태Pareto%다보조망우화책략%모호결책%전력계통
network reconfiguration%node importance%dynamic Pareto%multi-step apoptosis optimization strategy(MSAOP)%fuzzy decision-making%power systems
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。
提齣一種節點重要度綜閤評價新方法,併在此基礎上髮展瞭網絡重構多目標雙層優化模型。在上層優化模型中,以最大化繫統可用髮電容量確定髮電節點恢複順序;在下層確定恢複路徑的多目標優化模型中,以最大化恢複路徑的平均重要度和最小化路徑的充電電容為目標,併攷慮瞭線路恢複時間對機組恢複的影響。提齣一種基于細胞生理特性的連續動態 Pareto 多步凋亡優化策略(MSAOS),其將整箇電力繫統網絡重構劃分為多步,每步的優化問題規模和難度都較小,且可在一定程度上避免維數災問題;利用該策略進行多目標網絡重構優化,可以在兼顧全跼最優的基礎上實現髮電節點恢複路徑優化的分段最優,併能以分支圖的形式展示恢複優化過程中的網絡重構策略集。利用模糊決策(FDM)方法優化齣最終網絡重構策略。以新英格蘭10機39節點繫統和廣州電力繫統為例,說明瞭所髮展的模型和方法的基本特徵。
제출일충절점중요도종합평개신방법,병재차기출상발전료망락중구다목표쌍층우화모형。재상층우화모형중,이최대화계통가용발전용량학정발전절점회복순서;재하층학정회복로경적다목표우화모형중,이최대화회복로경적평균중요도화최소화로경적충전전용위목표,병고필료선로회복시간대궤조회복적영향。제출일충기우세포생리특성적련속동태 Pareto 다보조망우화책략(MSAOS),기장정개전력계통망락중구화분위다보,매보적우화문제규모화난도도교소,차가재일정정도상피면유수재문제;이용해책략진행다목표망락중구우화,가이재겸고전국최우적기출상실현발전절점회복로경우화적분단최우,병능이분지도적형식전시회복우화과정중적망락중구책략집。이용모호결책(FDM)방법우화출최종망락중구책략。이신영격란10궤39절점계통화엄주전력계통위례,설명료소발전적모형화방법적기본특정。
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.