电力系统自动化2013，Vol.37Issue(6)：48-54,7.DOI:10.7500/AEPS201205103
基于离散概率模型的风光互补供电系统优化配置
A Hybrid Wind/Photovoltaic Power Supply System Based on Discrete Probabilistic Methodology
摘要
Abstract
A probabilistic methodology based quantitative capacity optimal configuration method of hybrid wind/photovoltaic power supply system is proposed. A discrete probability distribution model is established to represent the random variables in the system, including the uncertainty of power injections and the random failure of components. A multi-objective optimization model is proposed involving three contradictory objectives: minimization of major investment, power inadequacy and voltage deviation. An innovative probabilistic load flow algorithm is introduced for the purpose of fast probability computing while maintaining a relatively high degree of accuracy, which uses moments to calculate and convert cumulants and Gram-Charlier series to obtain probabilistic distribution functions of target variable. The parallel elitist non-dominated sorting genetic algorithm (PNSGA-Ⅱ) is introduced to search the Pareto-optimal solutions. Finally, a numerical example is provided to validate the applications of the proposed method.关键词
风力发电/光伏发电/离散概率分布/容量优化配置/随机潮流/遗传算法Key words
wind power generation/photovoltaic generation/discrete probability distribution/capacity optimal configuration/probabilistic load flow/genetic algorithm引用本文复制引用
叶承晋,黄民翔,王焱,孙飞飞,钟宇峰..基于离散概率模型的风光互补供电系统优化配置[J].电力系统自动化,2013,37(6):48-54,7.基金项目
国家高技术研究发展计划(863计划)资助项目(2011AA050200). （863计划）
