电力系统自动化Issue(6)：20-25,6.DOI:10.7500/AEPS20130504002
基于模糊相关机会规划的储能优化控制
Optimal Control of Energy Storage Based on Fuzzy Correlated-chance Programming
摘要
Abstract
In order to maximize the match between the output of the hybrid wind/photovoltaic/energy storage system and the scheduling curve,the energy storage device is optimized and controlled one day ahead.Owing to the fuzziness of the wind and photovoltaic output,an optimal control method of energy storage is proposed based on a fuzzy correlated-chance programming theory.This method considers the constraints of the energy storage device including the power output and energy constraints, and the matching degree of each time is represented by the credibility value.So the final goal is to maximize the mean value of the total credibility within a day of 9 6 periods.By using the fuzzy simulation based genetic algorithm,the different periods of energy storage charge and discharge power corresponding to the credibility of the maximum mean value can be obtained. Numerical results analysis shows that the proposed optimal control strategy is valid for maximizing the match between the output of the hybrid wind/photovoltaic/energy storage system and the scheduling curve. <br> This work is supported by Fundamental Research Funds for the Central Universities(No.12MS106).关键词
储能优化控制/风光储/计划出力匹配/相关机会规划/模糊模拟/遗传算法Key words
energy storage optimal control/wind/photovoltaic/energy storage/scheduling curve match/correlated-chance programming/fuzzy simulation/genetic algorithm引用本文复制引用
胡永强,刘晨亮,赵书强,王明雨..基于模糊相关机会规划的储能优化控制[J].电力系统自动化,2014,(6):20-25,6.基金项目
中央高校基本科研业务费专项资金资助项目(12MS106)。 （12MS106）
