聚合商模式下考虑调峰需求的分布式储能优化配置
OPTIMIZED CONFIGURATION OF DISTRIBUTED ENERGY STORAGE CONSIDERING PEAK SHAVING REQUIREMENTS UNDER AGGREGATOR MODE
聂立君 1邢海军 1江伟建 2王华昕 1沈杰 1师旭露1
作者信息
- 1. 上海电力大学电气工程学院,上海 200090
- 2. 国网浙江省电力有限公司嘉兴供电公司,嘉兴 314000
- 折叠
摘要
提出一种在聚合商模式下考虑系统调峰需求的分布式储能双层优化配置模型,兼顾聚合商收益与电力系统调峰运行成本.外层模型考虑储能套利收益、调峰补贴收益、投资成本等,以聚合商年收益最大为目标,以此提高储能聚合商的投资意愿;内层模型为储能辅助火电机组调峰的系统运行问题,以系统调峰总成本最小为目标.利用改进的IEEE 30节点和IEEE 33节点混合系统进行仿真验证,结果表明所提模型的可行性与有效性.
Abstract
A bi-level optimization model of distributed energy storage system is proposed to consider the system peaking demand under the aggregator model,which balances the benefits of the aggregator and the peaking operation cost of the power system.The outer model considers the arbitrage revenue,peak shaving subsidy revenue and investment cost of energy storage,which aims to maximize the aggregator's annual revenue to improve its investment enthusiasm.The inner model is a system operation problem,considering peak shaving using energy storage auxiliary thermal power generating units,and the model aims at minimizing the total system peak shaving cost.The simulation is verified in the modified hybrid system with IEEE 30 and IEEE 33 node system.The results verify the feasibility and effectiveness of the proposed model.
关键词
储能系统/双层优化/粒子群优化/聚合商/调峰Key words
energy storage system/bi-level optimization/particle swarm optimization/aggregator/peak shaving引用本文复制引用
基金项目
电力传输与功率变换控制教育部重点实验室开放课题(2022AA03)
出版年
2024
NETL
NSTL
万方数据