摘要
针对风电接入的大型电力系统,提出了以发电总燃料耗量、污染气体排放量和购电费用最小为目标的多目标动态优化调度模型,并考虑了抽水蓄能机组的实际运行特性对优化调度的影响。采用法线边界交叉法将多目标优化问题转换为一系列单目标问题,并采用原对偶内点法求解,从而获得均匀分布的帕累托最优解。根据熵权双基点法决策出折中最优解,为运行人员提供决策指导。在某省级电力系统上的计算结果表明,法线边界交叉法和熵权双基点法的结合能够快速、有效地求解电力系统多目标动态优化调度问题。
A multi-objective dynamic optimal dispatch model considering wind power penetration is proposed. In this model, fuel consumption, emission of atmospheric pollutants and power purchase are taken as the objectives and the influence of actual operation characteristics of pumped storage generator set on optimal dispatch is taken into account. To solve the model, the normal boundary intersection(NBI) method based on the quasi normal method is introduced to transform this multi-objective problem into a series of single objective optimization problems, and hence a series of uniform distributed Pareto optimal sets are obtained by means of the prime-dual interior point method. The entropy-weighted double base points method is applied to get a comprehensive optimal solution to provide a guidance decision for operators. Computational results on a real provincial power system demonstrate that the multi-objective dynamic optimal dispatch problem can be solved rapidly and efficiently based on combining NBI method and entropy-weighted double base points method.
出处
《电工技术学报》
EI
CSCD
北大核心
2014年第10期286-295,共10页
Transactions of China Electrotechnical Society
基金
国家863高技术研究发展计划(2012AA050209)
国家自然科学基金(51207056)
广东高校优秀青年创新人才培养计划(LYM11014)资助项目
关键词
大型电力系统
动态优化调度
风电接入
多目标
法线边界交叉法
熵权双基点法
Large scale power system,dynamic optimal dispatch,wind power penetration,multiple objectives,normal boundary intersection method,entropy-weighted double base points method
