摘要
提出一种基于双层优化模型的风-光-储互补发电系统优化配置方法,外层优化以互补发电系统年净收益最大化为目标、通过量子粒子群算法优化风-光-储容量配置;内层优化以互补发电系统日出力波动率和日出力峰谷差最小化为目标、通过8760 h生产模拟优化储能充放电功率。实际算例仿真计算结果表明,所提算法能有效解决风-光-储互补发电系统在规划阶段的优化配置问题。
An optimal configuration of wind-photovoltaic-ESS complementary power generation system based on bi-level optimization model is proposed,the outer layer is optimized to maximize the annual net income of the complementary power generation system by quantum particle swarm optimization(QPSO),the inner layer is optimized to minimize the sunrise force volatility and peak-valley difference of complementary generation system,and optimizes the charge-discharge power of ESS through 8760 hours production simulation.The simulation results show that the proposed algorithm can effectively solve the capacity optimization allocation problem of wind-photovoltaic-ESS complementary power generation system in the planning stage.
作者
王磊
王昭
冯斌
杨攀峰
Wang Lei;Wang Zhao;Feng Bin;Yang Panfeng(Northwest Electric Power Design Institute Co.,Ltd.of China Power Engineering Consultion Group,Xi’an 710075,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2022年第5期98-104,共7页
Acta Energiae Solaris Sinica
基金
中国能源建设股份有限公司科技项目(CEEC2019-KJ06)
中国电力工程顾问集团西北电力设计院有限公司科技项目(XB1-DK01-2019)。
关键词
风光储
容量配置
双层优化模型
量子粒子群
8760
h生产模拟
wind-photovoltaic-ESS
capacity configuration
bi-level optimization model
quantum particle swarm optimization
8760 hours production simulation
