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考虑SVC影响的电力系统多目标交易计划
引用本文:袁翔,马瑞. 考虑SVC影响的电力系统多目标交易计划[J]. 电工标准与质量, 2007, 0(4)
作者姓名:袁翔  马瑞
作者单位:长沙理工大学电气与信息工程学院 湖南长沙410076
基金项目:湖南省教育厅优秀青年项目(06B007),清华大学电力系统及发电设备安全与仿真控制国家重点实验室开放基金资助项目(GZH(2006)01)
摘    要:提出一种基于最优潮流、计及SVC影响,同时考虑经济效益和环境效益的电力系统多目标交易计划模型.首先对各单目标确定性模型求解,得到目标函数值,其次对目标值进行一定程度的伸缩,并定义目标隶属度函数,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问题,然后采用非线性规划方法求解,得到新的潮流结果.仿真结果验证了算法的有效性.

关 键 词:电力市场  多目标优化  最优潮流  静止无功补偿器  交易计划

Multi-objective trade planning for power system with SVC
YUAN Xiang,MA Rui. Multi-objective trade planning for power system with SVC[J]. Journal of Changsha University of Electric Power(Natural Science Edition), 2007, 0(4)
Authors:YUAN Xiang  MA Rui
Abstract:The paper proposes a multi-objective trade planning model for power system with SVC,which considers both pool purchase cost and environmental protection under power system static security constraints.Firstly,two single-objective-deterministic-models are solved,and the corresponding objective function value is obtained.Secondly,each objective function is fuzzed with objective membership function defining.Then multi-objective programming problem is reformulated into nonlinear single objective programming problem by the means of fuzzy satisfaction-maximizing.Finally,nonlinear programming algorithm is used to solve the single objective optimization,and a new power flow result is obtained.Simulation results show that the algorithm is with high efficiency.
Keywords:power market  multi-objective optimization  optimal power flow  SVC  transaction planning
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