摘要
电力市场背景下,考虑需求响应和源荷不确定性的微电网储能优化配置,对提高微电网运行性能、促进微电网商业化落地应用及能源转型具有重要价值。针对并网型光储微电网储能系统容量配置问题,提出了考虑需求响应和源荷不确定性的储能优化配置策略。首先,通过聚类对运行场景进行削减,综合考虑购电、储能配置及损耗和联络线功率波动惩罚等成本,构建考虑长期不确定性的微电网储能系统规划运行协同优化模型。其次,建立基于用户调度优先级的负荷引导机制,通过弹性系数计算需求响应结果。进一步地,提出一种两阶段储能规划配置策略实现方法。最后,通过算例仿真,验证了该方法的合理性与有效性。
In the context of electricity markets,the optimal configuration of energy storage in microgrids considering the demand response(DR)and the uncertainties in source and load is of great value to improve the operational performance of the microgrids and to promote the commercial application of microgrids and the energy transformation.Aiming at the configuration of energy storage system capacity in the grid-connected photovoltaic(PV)-storage microgrid,an optimal configuration strategy of energy storage considering the demand response and the uncertainties in source and load is proposed.First,the operation scenarios were reduced by clustering.By considering the costs of electricity purchase,energy storage configuration and loss,and tie line power fluctuation penalty comprehensively,a collaborative optimization model for planning and operation of microgrid energy storage system considering long-term uncertainty was established.Then,a load guidance mechanism based on the scheduling priority was constructed,and the demand response results were calculated by the elasticity coefficients.Furthermore,a realization method of the two-step energy storage configuration strategy was proposed.Finally,the rationality and effectiveness of the proposed method are verified by simulation.
作者
南斌
董树锋
唐坤杰
朱勐婷
张祥龙
陈炜
NAN Bin;DONG Shufeng;TANG Kunjie;ZHU Mengting;ZHANG Xianglong;CHEN Wei(College of Electrical Engineering,Zhejiang University,Hangzhou 310027,Zhejiang Province,China;State Grid Economic and Technological Research Institute Co.,Ltd.,Changping District,Beijing 102209,China)
出处
《电网技术》
EI
CSCD
北大核心
2023年第4期1340-1349,共10页
Power System Technology
基金
国家电网有限公司总部科技项目(5100-202256008A-1-1-ZN)。
关键词
微电网
储能容量优化
不确定性
功率波动
需求响应
调度优先级
microgrid
energy storage capacity optimization
uncertainty
power fluctuation
demand response
scheduling priority