摘要
大力发展光伏等可再生能源是我国实现“双碳”目标的重要途径,而光伏高比例接入配电网后随之带来一系列问题。以含高比例光伏配电网为研究对象,提出了计及用户侧需求响应的混合储能优化配置方法。针对负荷和光伏出力的双重不确定性,提出了基于预测误差概率分布的不确定性场景确定方法。考虑系统不确定性,统筹运行阶段用户侧需求响应调控措施以及潮流约束,提出了储能配置的3层优化模型。针对优化模型提出了相应的分解方法,以及基于列和约束生成算法的求解实施流程。通过在IEEE-33节点测试系统中的应用,使得系统可平移负荷峰值下降了10%,节点电压维持在合理范围,并在指导储能配置等方面具备显著的应用效果。通过分析光伏比例灵敏性可知,不含光伏情况下的储能总容量相比100%光伏比例场景增加了90%。
Vigorously developing renewable energy such as photovoltaic is an important route to achieve carbon peaking and carbon neutrality goals;however,the high proportion of photovoltaic in the distribution network may bring about a series of problems.Therefore,the distribution network with a high proportion of PV is taken as the research object,and the optimal configuration of hybrid energy storage is proposed considering the demand side response.Based on the uncertainty of load demand and photovoltaic output,a determination method for uncertain scenarios relying on error probability distribution is proposed.Based on uncertain scenarios,a three-layer optimization model for energy storage configuration was proposed considering the regulation measures of demand side response and power flow constraints in the operation stage.The decomposition method for the proposed three-layer optimization model and the solution implementation process based on column and constraint generation algorithm are proposed.The proposed model is verified in IEEE-33 bus test system.The results show that the shiftable load peak can be reduced by 10%,the nodal voltage is kept within a reasonable range,and the application effect is significant in guiding energy storage configuration.Through analyzing the sensitivity of photovoltaic proportion,the total energy storage capacity with 100%photovoltaic proportion increases by 90%compared with the scenario without photovoltaic.
作者
马丽
李伟
裴玮
肖浩
鞠力
顾靖达
MA Li;LI Wei;PEI Wei;XIAO Hao;JU Li;GU Jingda(Institute of Electrical Engineering,Chinese Academy of Sciences,Beijing 100190,China;Key Laboratory of Long-duration and Large-scale Energy Storage(Chinese Academy of Sciences),Beijing 100190,China;State Grid Beijing Electric Power Company,Beijing 100031,China;Beijing Electric Power Economic and Technical Research Institute Co.,Ltd.,Beijing 100055,China)
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2024年第4期1416-1425,共10页
High Voltage Engineering
基金
国家自然科学基金(U22B20123)
国家电网有限公司总部管理科技项目(5419-202211066A-1-1-ZN)。
关键词
储能配置优化
光伏
配电网
需求侧响应
系统不确定性
energy storage configuration optimization
photovoltaic
distribution network
demand side response
system uncertainty