电网技术
電網技術
전망기술
POWER SYSTEM TECHNOLOGY
2014年
5期
1345-1351
,共7页
谭忠富%鞠立伟%陈致宏%李欢欢%许长青%赵宝柱
譚忠富%鞠立偉%陳緻宏%李歡歡%許長青%趙寶柱
담충부%국립위%진치굉%리환환%허장청%조보주
环境经济调度%评价函数%粗糙集理论%基于混沌局部搜索策略的差分进化算法%优化%多目标
環境經濟調度%評價函數%粗糙集理論%基于混沌跼部搜索策略的差分進化算法%優化%多目標
배경경제조도%평개함수%조조집이론%기우혼돈국부수색책략적차분진화산법%우화%다목표
environmental economic dispatch%evaluation function%rough set theory%chaotic local search strategy differential evolution algorithm%optimization%multi-objective
针对环境经济发电调度优化问题,提出了一种应用粗糙集理论构建评价函数的多目标优化方法,并提出了基于混沌局部搜索策略的差分进化算法(chaotic local search strategy differential evolution algorithm,CLSDE)的求解算法。应用粗糙集理论确定经济调度和环境调度函数的约束度,以确定各目标函数在优化模型中的权值。采用CLSDE算法求解环境经济调度(environmental economic dispatch,EED)多目标优化模型,该算法只对目标函数中的变量进行编码,约束条件函数中的变量随机产生,每代进化完毕后,对最优个体进行混沌局部搜索,克服了差分进化算法局部搜索能力较弱和惩罚函数方法中惩罚参数选择较难的问题。对 IEEE30节点的标准测试系统进行了仿真计算,结果表明CLSDE算法在解决环境经济调度问题时具有可行性和有效性,在不增加污染气体排放量的同时降低燃料费用,使环境经济调度更能兼顾发电调度的经济利益与环境利益。
針對環境經濟髮電調度優化問題,提齣瞭一種應用粗糙集理論構建評價函數的多目標優化方法,併提齣瞭基于混沌跼部搜索策略的差分進化算法(chaotic local search strategy differential evolution algorithm,CLSDE)的求解算法。應用粗糙集理論確定經濟調度和環境調度函數的約束度,以確定各目標函數在優化模型中的權值。採用CLSDE算法求解環境經濟調度(environmental economic dispatch,EED)多目標優化模型,該算法隻對目標函數中的變量進行編碼,約束條件函數中的變量隨機產生,每代進化完畢後,對最優箇體進行混沌跼部搜索,剋服瞭差分進化算法跼部搜索能力較弱和懲罰函數方法中懲罰參數選擇較難的問題。對 IEEE30節點的標準測試繫統進行瞭倣真計算,結果錶明CLSDE算法在解決環境經濟調度問題時具有可行性和有效性,在不增加汙染氣體排放量的同時降低燃料費用,使環境經濟調度更能兼顧髮電調度的經濟利益與環境利益。
침대배경경제발전조도우화문제,제출료일충응용조조집이론구건평개함수적다목표우화방법,병제출료기우혼돈국부수색책략적차분진화산법(chaotic local search strategy differential evolution algorithm,CLSDE)적구해산법。응용조조집이론학정경제조도화배경조도함수적약속도,이학정각목표함수재우화모형중적권치。채용CLSDE산법구해배경경제조도(environmental economic dispatch,EED)다목표우화모형,해산법지대목표함수중적변량진행편마,약속조건함수중적변량수궤산생,매대진화완필후,대최우개체진행혼돈국부수색,극복료차분진화산법국부수색능력교약화징벌함수방법중징벌삼수선택교난적문제。대 IEEE30절점적표준측시계통진행료방진계산,결과표명CLSDE산법재해결배경경제조도문제시구유가행성화유효성,재불증가오염기체배방량적동시강저연료비용,사배경경제조도경능겸고발전조도적경제이익여배경이익。
In allusion to environmental economic dispatching optimization, a multi-objective optimization method that constructs evaluation function by rough set theory is proposed, and a solving algorithm based on chaotic local search strategy differential evolution (CLSDE) algorithm for the proposed model is put forward. The constraint degrees of economic dispatching and environmental dispatching function are determined by rough set theory to decide the weight values of objective functions in the proposed optimization model. The CLSDE algorithm is used to solve the multi-objective optimization model of environmental economic dispatching (EED) and this algorithm only encodes the variables in the objective functions; the variables in constraint condition functions are produced at random. After the evolution of each generation is completed, the chaotic local searching is performed to optimal individual, thus both the weak local searching ability of differential evolution algorithm and the difficulty of choosing penalty parameters in the penalty function method can be overcome. The standard IEEE 30-bus system is used to test the proposed method and simulation results show that the CLSDE algorithm is feasible and effective for the solution of environmental economic dispatching, using the proposed method the fuel cost can be reduced while the pollution gas emission is not increased, herefore the environmental economic generation dispatchingcan give consideration to both economic benefit and environmental benefit of generation dispatching.