电力信息与通信技术2024，Vol.22Issue(8)：10-17,8.DOI:10.16543/j.2095-641x.electric.power.ict.2024.08.02
储能用户多市场协同响应服务优化模型
Optimization Model for Multi Market Collaborative Response Services of Energy Storage Users
摘要
Abstract
Energy storage is an important support to promote the transition of energy to green and low-carbon and to improve the safe operation of power systems.This paper utilizes the power Internet of Things platform to monitor and analyze the data and information of energy storage in real time,and provides energy storage users with smarter and more efficient management methods.Aiming at the problem of how energy storage users can participate in diversified transactions under the environment of power market,while studying the regulation of wind and solar energy abandonment,it extends the scope of transactions participated by energy storage users to new energy consumption,establishes a collaborative response service optimization model in which energy storage users participate in the energy market,frequency regulation auxiliary service market and reserve auxiliary service market at the same time and optimizes the model with the goal of maximum benefit for users.The feasibility and economy of the model and the method are verified through the simulation analysis of the three scenarios in the calculation example.关键词
储能用户/电力物联网/弃风弃光量调控/调频服务/备用服务/多市场协同响应服务Key words
energy storage users/power IoT/cooperative control of wind and solar energy abandonment/auxiliary services for frequency regulation/auxiliary services for reserve/multi market collaborative response services分类
信息技术与安全科学引用本文复制引用
杨英杰,蔡田田,李俊业,吴杰康,阚东旺..储能用户多市场协同响应服务优化模型[J].电力信息与通信技术,2024,22(8):10-17,8.基金项目
国家重点研发计划项目(2023YFB4204400)) （2023YFB4204400）
南方电网数字电网研究院有限公司科技计划项目"基于自主边缘计算平台的边端自治技术研究项目"(210000KC22120010). （210000KC22120010）
