摘要
为了促进配电网中储能高效应用和分布式光伏就地消纳,针对配电网自建储能应用场景展开研究,探讨配电网自建储能的盈利模式问题,提出一种基于配电网自建储能共享与辅助服务的配电网和光伏聚合商(PVA)主从博弈优化调度策略,使储能在满足光伏产消者容量需求的前提下,将剩余容量参与配电网调压辅助服务。建立以配电网运营商(DNO)为主体、PVA为从体的双层主从博弈优化模型:上层模型计及储能剩余容量参与配电网辅助服务,以DNO日综合收益最大化为目标函数,优化售电电价和租赁价格;下层模型响应售电电价和租赁价格,以PVA综合用能成本和净负荷方差最小化为目标,优化租赁容量和充放电计划,且为了使光伏产消者之间合理分摊利润,提出基于贡献度的利润分配方案。采用多种线性化方法将所建模型转化为混合整数线性规划模型。以改进IEEE 33节点系统为算例进行仿真,结果表明所提方法在实现光伏出力全消纳以及降低PVA用能成本的同时,改善了配电网的电压质量和储能利用率,实现了DNO和PVA互利共赢。
In order to promote the efficient application of energy storage and the local consumption of distributed photovoltaic in the distribution network,the application scenario of self-built energy storage in the distribution network is studied,the profit mode of self-built energy storage in the distribution network is explored,and a master-slave game optimization scheduling strategy between distribution network and photovoltaic aggregator(PVA)based on the sharing and auxiliary service of self-built energy storage in the distribution network is proposed to enable the remaining capacity of energy storage to participate in the voltage regulation auxiliary service of distribution network,on the premise of meeting the capacity demands of photovoltaic prosumers.A two-layer master-slave game optimization model with the distribution network operator(DNO)as the master and the PVA as the slave is established.The upper-layer model considers the participation of the remaining capacity of energy storage in the distribution network auxiliary service and takes the maximum daily comprehensive profit of DNO as the objective function to optimize the electricity price and rental price.The lower-layer model responds to the electricity price and rental price and takes the minimum comprehensive energy consumption cost of PVA and the minimum variance of net load as the objectives to optimize the rental capacity and the charging and discharging plan.Moreover,in order to reasonably allocate profits among photovoltaic prosumers,a profit distribution scheme based on contribution degree is proposed.The established model is transformed into a mixed integer linear programming model by using multiple linearization methods.Taking the improved IEEE 33-bus system as an example for simulation,the results show that the proposed method not only realizes the full consumption of photovoltaic output and reduces the energy consumption cost of PVA,but also improves the voltage quality and energy storage utilization rate of the distribution network,achieving mutual benefit and win-win situation of DNO and PVA.
作者
陈伟
陈龙康
郝鹏辉
魏占宏
张晓辉
CHEN Wei;CHEN Longkang;HAO Penghui;WEI Zhanhong;ZHANG Xiaohui(School of Electrical Engineering and Information Engineering,Lanzhou University of Technology,Lanzhou 730050,China;Tianshui Power Supply Company of State Grid Gansu Electric Power Company,Tianshui 741000,China)
出处
《电力自动化设备》
北大核心
2025年第8期87-95,共9页
Electric Power Automation Equipment
基金
国家自然科学基金资助项目(51767017)
甘肃省基础研究创新群体项目(18JR3RA133)
甘肃省高等学校产业支撑引导项目(2022CYZC-22)。
关键词
共享储能
分布式光伏
配电网
产消者
多面体逼近
混合整数线性规划
主从博弈
优化调度
shared energy storage
distributed photovoltaic
distribution network
prosumers
polyhedral approximation
mixed integer linear programming
master-slave game
optimal scheduling
