计及灵活性资源的综合能源系统源荷协调优化调度
Coordinated Optimal Scheduling of Source and Load in Integrated Energy System Considering Flexible Resources
胡福年 1张彭成 1周小博 1陈军1
作者信息
- 1. 江苏师范大学电气工程及自动化学院,江苏徐州 221116
- 折叠
摘要
可再生能源和负荷的波动性、不确定性等给综合能源系统(integrated energy system,IES)的安全灵活运行带来了极大挑战.为提高IES灵活调节能力与可再生能源消纳水平,提出一种计及灵活性资源的IES源荷协调优化调度方法.针对系统内运行灵活性需求,精细刻画各类资源灵活性能力,源侧根据电氢耦合单元运行特性构建热电联产机组(combined heating and power,CHP)和氢燃料电池(hydrogen fuel cell,HFC)联合运行模型,荷侧考虑综合需求响应的灵活性供给能力,建立系统综合灵活性供给模型.根据不同时刻运行灵活性不足问题分成 2 种调度模式,构建基于IES灵活性约束的优化调度模型,并进行仿真分析.仿真结果表明,所提出的优化调度方法能够有效提高IES灵活调节能力和可再生能源消纳水平.
Abstract
The uncertainty and volatility of renewable energy and loads pose enormous challenges to the safe and flexible operation of integrated energy systems(IES).In order to improve the flexible adjustment ability of IES and the consumption level of renewable energy,this paper proposes an IES source-load coordination optimization scheduling method considering flexible resources.According to the operational flexibility requirements of the system,the flexibility capabilities of various resources are finely described.A joint operating model of combined heating and power(CHP)unit and hydrogen fuel cell(HFC)is established at the source-side according to the operating characteristics of the electric-hydrogen coupling unit,and a comprehensive flexible supply model of system is constructed at the load-side with consideration of the flexible supply capacity of comprehensive demand response.Two scheduling modes is divided according to the vacancy of operation flexibility at different times,and an optimal scheduling model based on IES flexibility constraints is constructed.A simulation analysis is carried out,and the simulation results show that the proposed optimal scheduling method can effectively improve the flexible adjustment ability of IES and the consumption level of renewable energy.
关键词
综合能源系统/需求侧灵活性/灵活性供需平衡/源荷协调/调度策略Key words
integrated energy system/demand-side flexibility/flexibility balance/source-load coordination/scheduling policy引用本文复制引用
基金项目
国家自然科学基金资助项目(62173165)
江苏师范大学研究生科研与实践创新计划项目(2022XKT0182)
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据