电网技术Issue(11)：3055-3059,5.
基于机会约束规划的储能日前优化调度
Chance-Constrained Programming Based Day-Ahead Optimal Scheduling of Energy Storage
摘要
Abstract
To make the output of the hybrid wind/photovoltaic/energy storage system farthest matched with the scheduled output, the method of one-day ahead optimized control of energy storage equipments is adopted. In view of the randomness of PV generation and wind power generation, a chance-constrained programming based optimal control method of energy storage, in which the constraint of power output of energy storage equipments and the constraint of electric quantity are taken into account and the maximum similarity between the total output curve of hybrid wind/photovoltaic/energy storage system and the given scheduled output curve is taken as the objective function, is proposed and solved by stochastic simulation based particle swarm optimization, thus the charging/discharging power of energy storage equipments corresponding to condition that the two curves are most oncoming is obtained. Analysis on results of calculation example shows that the proposed optimized control strategy of energy storage equipments can make the total output of hybrid wind/photovoltaic/energy storage system farthest tracing the scheduled output curve.关键词
风光储/储能优化控制/计划出力曲线/机会约束规划/随机模拟/粒子群算法Key words
hybrid wind photovoltaic energy storage system/optimized control of energy storage/scheduled output curve/chance-constrained programming/stochastic simulation/particle swarm optimization (PSO)分类
信息技术与安全科学引用本文复制引用
赵书强,刘晨亮,王明雨,胡永强..基于机会约束规划的储能日前优化调度[J].电网技术,2013,(11):3055-3059,5.基金项目
中央高校基本科研业务费专项资金项目(12MS106)。Fundamental Research Funds for the Central Universities(12MS106) （12MS106）
