摘要
风光储发电系统是提高新能源利用率的有效形式,风光互补与储能相结合可以有效降低随机性和波动性对电网产生的影响。容量配置优化问题则是风光储发电系统能否最大程度地发挥作用的关键。分析了容量配置优化的重要性,阐述了目前使用较多的两种群智能算法在容量配置优化方面的应用,并对这些容量配置优化算法未来的发展方向进行了总结和展望。
The wind-solar power generation system is an effective form to improve the utilization rate of new energy.The combination of wind-solar complementarity with energy storage can effectively reduce the impact of randomness and volatility on the power grid.The problem of capacity configuration optimization is the key to whether the wind-solar power generation system can play its role to the greatest extent.To this end,this paper analyzes the importance of capacity configuration optimization and summarizes the application of two swarm intelligence algorithms that are widely used in capacity allocation optimization.Finally,the future development direction of these algorithms of capacity configuration optimization is summarized and prospected.
作者
马昕霞
林玉杰
宋明中
项俊欣
吴天予
熊启阳
MA Xinxia;LIN Yujie;SONG Mingzhong;XIANG Junxin;WU Tianyu;XIONG Qiyang(School of Energy and Mechanical Engineering,Shanghai University of Electric Power,Shanghai200082,China;Industril Intelligence Division,Baowu Equipment Intelligent Technology Co.,Ltd.,Shanghai201900,China)
出处
《上海电力大学学报》
CAS
2022年第6期589-593,共5页
Journal of Shanghai University of Electric Power
关键词
风光储发电系统
容量配置
群智能算法
power generation system of wind/solar with energy storage
capacity configuration
swarm intelligence algorithm