摘要
针对大规模风电出力的随机性和不确定性所导致的电网调峰困难及成本高的问题,在考虑电池储能与电锅炉等装置的能源储放特性的基础上,提出了电-热多能源储能系统架构;基于风电出力不确定性而进行调峰多场景划分,为提高电热多源储能系统在多场景下的运行经济性,建立了风电与电热多源协调储能的鲁棒优化模型,并利用多目标进化算法进行求解。文章通过仿真验证了所提出的模型与电池储能系统具有更优的运行经济性与鲁棒性,能够有效地应对大规模风电波动下的调峰难问题。
Aiming at the problem that the randomness and uncertainty of large-scale wind power output lead to the difficulty and high cost of power grid peak regulation.Considering the characteristics of energy storage such as battery energy storage and electric boiler,this paper proposed a multi-energy storage system architecture model of electricity and heat.In order to improve the operation economy of the electricity heating multi-energy storage system in multi scenarios,the wind power output uncertainty is divided into several scenarios,and a robust optimization of wind power and electrothermal multi-source coordinated energy storage is established,which solved by multi-objective evolutionary algorithm.Finally,the simulation results show that the proposed model is more economical and robust than the battery energy storage system,and can improve the peak regulation problem under the large-scale wind power output fluctuation effectively.
作者
万玉良
刘鑫
吴晓丹
顾大可
王泽镝
Wan Yuliang;Liu Xin;Wu Xiaodan;Gu Dake;Wang Zedi(State Grid East Inner Mongolia Economic Research Institute,Huhhot010020,China;Northeast Electric Power University,Jilin 132012,China;Shenyang University of Technology,Shenyang 110870,China)
出处
《可再生能源》
CAS
北大核心
2020年第5期690-695,共6页
Renewable Energy Resources
基金
国家电网公司科技项目(526601180018)。
关键词
电-热多源储能
风电不确定性
多场景划分
鲁棒优化
electricity-heat mulit-energy storage system
wind power uncertainty
multi scenarios division
robust optimization
