摘要
本文提出了一种双目标综合优化的电力市场短期交易计划模型。首先对两个单目标确定性模型求解得到目标函数值 ,其次进行一定程度的伸缩及定义目标隶属函数将确定性问题模糊化 ,接着采用最大满意度法将多目标问题转化为单目标非线性规划问题 ,然后采用非线性规划方法求解。算例仿真结果表明本文提出的新模型在各单目标优化值轻微伸缩的情况下使双目标综合考虑效果更好 。
A novel model making of double-objective optimal transaction scheme for electricity market is pro- posed in this paper.At first,every single-objective de- terministic model is solved and get their objective values and scheme ,the second,the definite model is fuzzified by slightly enlarge objective value and definite the objective fuzzy membership function ,then.reformulates double ob- jective nonlinear programming problem into single objec- tive nonlinear programming problem by means of fuzzy satisfaction-maximizing ,and last the problem can be solved by nonlinear programming .The numerical results indicate thatthescheme obtained from the fuzzy model can meet more double-objective function more than that ob- tained from the single-objective deterministic model with a slightdeclination in theevery single-objective.Thisthe- ory is practically significant for continuously developing strategy.
出处
《电力系统及其自动化学报》
CSCD
2003年第1期33-36,108,共5页
Proceedings of the CSU-EPSA
关键词
电力市场
交易计划模型
最大满意度
非线性规划
模糊优化
Electricity market,Short term trade plan- ning,Fuzzy satisfaction-maximizing,Non- linear programming
