中国电机工程学报2024，Vol.44Issue(11)：4261-4272,中插7,13.DOI:10.13334/j.0258-8013.pcsee.223003
考虑不确定性的周期性资源购买机制及多时间尺度调峰调度策略
Periodic Demand Response Resource Purchase Mechanism With Uncertainty and Multi-time Scale Peak-shaving Scheduling Strategy
摘要
Abstract
Optimized resource procurement and efficient scheduling strategies are pivotal in harnessing the full potential of demand response(DR)resources to provide ancillary services to the system.This paper studies the periodic purchase of DR resources and daily scheduling of peak-shaving,one of the most frequently occurring and influential ancillary service events in power system operation.First,the characteristics of peak-shaving events are clustered,and the probability is used to describe different decision behavior of the dispatching center.Then,the uncertainty model of periodic DR resource purchase is formulated and the optimal amount of purchased DR resources are obtained.Then,for intra-day scheduling,a multi-time scale energy and power coordination scheduling strategy based on rolling optimization is established with the forecasted load curve.Regulation energy is allocated on larger time scales to maximize the peak-shaving economy of the dispatching center,and regulation power is allocated on smaller time scales to optimize peak-shaving effects.Simulation results show that the periodic resource purchase mechanism can effectively improve the average peak-shaving economy of the dispatching center in a period.Meanwhile,the presented multi-time scale peak-shaving scheduling strategy help to make full use of purchased resources,and further achieve a win-win situation of both economic and effective peak shaving for the dispatching center.关键词
调峰/需求响应/资源购买/周期性规划/多时间尺度规划Key words
peak-shaving/demand response/resource purchase/periodic planning/multi-time scale scheduling分类
信息技术与安全科学引用本文复制引用
姜婷玉,陶劲宇,王珂,杨力铭,赵健,鞠平..考虑不确定性的周期性资源购买机制及多时间尺度调峰调度策略[J].中国电机工程学报,2024,44(11):4261-4272,中插7,13.基金项目
国家自然科学基金项目(51837004,U2066601,51807181) （51837004,U2066601,51807181）
国家电网有限公司科技项目(5100-202218387A-2-0-ZN) （5100-202218387A-2-0-ZN）
高等学校学科创新引智计划(B14022). Project Supported by National Natural Science Foundation of China(51837004,U2066601,51807181) （B14022）
Science and Technology Project of State Grid Corporation of China(5100-202218387A-2-0-ZN) （5100-202218387A-2-0-ZN）
Supported by the 111 Project(B14022). （B14022）
