电力系统保护与控制2016，Vol.44Issue(6)：35-40,6.DOI:10.7667/PSPC150901
风光联合优化配置的多目标机会约束规划方法
Multiobjective chance-constrained programming method for wind generations and photovoltaic allocating
摘要
Abstract
A multi-objective planning scheme based on chance-constrained programming and Monte-Carlo method for wind generations and photovoltaic allocating is proposed to deal with the randomness and relevance of wind speed, solar radiation, and load. In the mathematic model, three indexes are introduced to evluate distributed generation profits, namely cost index, power loss index and voltage deviation index. Monte-Carlo method costs large computation time, therefore a method of established probability distribution based on multi-interval division is introduced to reduce the number of sampling. In the process of solving the model, the first multiobjective differential evolution is employed to get a set of pareto optimal solutions, then fuzzy multi-attribute decision making method based on information entropy is adopted to select the best compromise solution from the pareto optimal solutions. The case studies are carried out on the IEEE-33 nodes distribution network, and the results show that the prosed optimal model is rational, and the algorithm is effective.关键词
风力发电机组/光伏方阵/优化配置/蒙特卡洛法/机会约束/多目标优化Key words
wind generations/photovoltaic/optimal allocating/Monte-Carlo method/chance-constrained programming/multi-objective optimization引用本文复制引用
夏澍,顾劲岳,葛晓琳,钱耀兴..风光联合优化配置的多目标机会约束规划方法[J].电力系统保护与控制,2016,44(6):35-40,6.基金项目
上海市青年科技英才扬帆计划(15YF1404600) （15YF1404600）
