考虑风电接入的大型电力系统多目标动态优化调度

发布时间：2018-04-20 15:45

本文选题：大型电力系统 + 动态优化调度　；参考：《电工技术学报》2014年10期

【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。
[Abstract]:For large scale power system connected by wind power, a multi-objective dynamic optimal scheduling model is proposed, which aims at minimizing the total fuel consumption, polluting gas emissions and the cost of electricity purchase. The effect of actual operation characteristics of pumped storage units on optimal operation is considered. The normal boundary crossing method is used to transform the multi-objective optimization problem into a series of single-objective problems, and the original dual interior point method is used to solve the problem. The Pareto optimal solution with uniform distribution is obtained. According to the entropy weight double basis point method, the compromise optimal solution is obtained, and the decision guidance is provided for the operator. The calculation results on a provincial power system show that the combination of normal boundary crossing method and entropy weight bistatic point method can solve the multi-objective dynamic optimal dispatching problem of power system quickly and effectively.
【作者单位】：华南理工大学电力学院;
【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
【分类号】：TM614

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