中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2011年
31期
118-124
,共7页
故障恢复%网络重构%多目标进化算法%Pareto前沿%舰船电力网络
故障恢複%網絡重構%多目標進化算法%Pareto前沿%艦船電力網絡
고장회복%망락중구%다목표진화산법%Pareto전연%함선전력망락
service restoration%network reconfiguration%multiobjective evolutionary algorithm%Pareto front%shipboard power network
经典多目标决策方法通过直接或利用层次分析法给定各目标权因子,再进行多目标综合。这种算法存在局限性,如缩放因子或模糊集参数实时调整难、获取最优解效率低等。现有舰船电网故障恢复方法仅给出负荷投切方案,且不考虑舰船线损。在严格定义＂支配＂、＂目标支配＂和＂约束支配＂3个概念的基础上,利用解的非支配关系,提出采用本质多目标进化算法并面向开关的故障智能恢复决策,该方法毋需权因子、缩放因子和模糊集参数,并实现了故障恢复后线损最小,在获得Pareto解集后,再作目标偏好选择,给出最优开关动作序列,提高了获取最优解的效率,解决了多约束条件下解的支配关系判别难题。算例分析证实了该方法可行、有效,且优于经典多目标方法。
經典多目標決策方法通過直接或利用層次分析法給定各目標權因子,再進行多目標綜閤。這種算法存在跼限性,如縮放因子或模糊集參數實時調整難、穫取最優解效率低等。現有艦船電網故障恢複方法僅給齣負荷投切方案,且不攷慮艦船線損。在嚴格定義＂支配＂、＂目標支配＂和＂約束支配＂3箇概唸的基礎上,利用解的非支配關繫,提齣採用本質多目標進化算法併麵嚮開關的故障智能恢複決策,該方法毌需權因子、縮放因子和模糊集參數,併實現瞭故障恢複後線損最小,在穫得Pareto解集後,再作目標偏好選擇,給齣最優開關動作序列,提高瞭穫取最優解的效率,解決瞭多約束條件下解的支配關繫判彆難題。算例分析證實瞭該方法可行、有效,且優于經典多目標方法。
경전다목표결책방법통과직접혹이용층차분석법급정각목표권인자,재진행다목표종합。저충산법존재국한성,여축방인자혹모호집삼수실시조정난、획취최우해효솔저등。현유함선전망고장회복방법부급출부하투절방안,차불고필함선선손。재엄격정의＂지배＂、＂목표지배＂화＂약속지배＂3개개념적기출상,이용해적비지배관계,제출채용본질다목표진화산법병면향개관적고장지능회복결책,해방법무수권인자、축방인자화모호집삼수,병실현료고장회복후선손최소,재획득Pareto해집후,재작목표편호선택,급출최우개관동작서렬,제고료획취최우해적효솔,해결료다약속조건하해적지배관계판별난제。산례분석증실료해방법가행、유효,차우우경전다목표방법。
In the classical multiobjective decision-making method,the multiple objectives are integrated by using their weighting factors given directly or through the analytic hierarchy process（AHP）.There are some limitations in adjusting the scaling factors or fuzzy set parameters in real time and in obtaining the optimal solutions efficiently.In the present service restoration methods of shipboard power network,the load switching scheme is only given and the line losses are not being considered.Based on strict definition of ＇domination＇,＇objective domination＇,and ＇constraint domination＇,utilizing the nondominated relation between solutions,a switch-oriented and intelligent service restoration strategy of shipboard power network using the nature multiobjective evolutionary algorithm was proposed.The strategy did not need the weighting factors,scaling factors,and fuzzy set parameters.And the objective of the minimization of line losses after service restoration was considered.The optimal solution was selected by the preferential relation among objectives after obtaining a Pareto solution set.Also,the optimal switch operation sequence was given.The efficiency of obtaining the optimal solution was improved.The problem of the determination of the dominated relation between solutions under the multiconstraint condition was solved.The analysis results of cases verified that the proposed method was feasible and effective and better than the classical multiobjective approach.
