上海交通大学学报

上海交通大学学报 >

2023 , Vol. 57 >Issue 12: 1583 - 1596

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2022.177

新型电力系统与综合能源

计及需求响应的微能网综合能源多时空尺度优化调度

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  • 太原理工大学 电力系统运行与控制山西省重点实验室,太原 030024
秦文萍(1972-),博士,教授,从事电力系统可靠性分析、微电网运行与控制、新能源发电技术和微机保护研究.

收稿日期: 2022-05-24

  修回日期: 2022-07-08

  录用日期: 2022-09-29

  网络出版日期: 2023-08-04

基金资助

国家自然科学基金联合基金重点支持项目(U1910216);山西省科技重大项目(20181102028)

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Multi-Time-Space Scale Optimal Dispatch of Integrated Energy in Micro-Energy Grid Considering Demand Response

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  • Shanxi Provincial Key Laboratory of Power System Operation and Control, Taiyuan University of Technology, Taiyuan 030024, China

Received date: 2022-05-24

  Revised date: 2022-07-08

  Accepted date: 2022-09-29

  Online published: 2023-08-04

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摘要

综合能源系统运行是当前能源研究领域的热点之一,随着能源领域机制的改革,含有多微能网的综合能源系统给电网运行带来了巨大挑战.针对含有多微能网综合能源系统接入上层配网造成的经济与运行问题,提出一种考虑需求响应的微能网综合能源多时空尺度优化运行策略.从能源角度构建一个多维能源供需平衡模型;进一步建立上、中、下共3层协同优化的多时空尺度运行模型,上层采用日前调度,中层采用日内调度,下层采用实时调度,3个调度阶段分别引入可替代、可转移和可削减负荷进行需求响应优化.算例表明,该策略可以实现多维能源之间的协调互补以及多种能源在不同时间和空间尺度的协调运行,提高了系统运行的经济性.

关键词： 综合能源; 微能网; 能源供需平衡; 需求响应; 多时空尺度

本文引用格式

秦文萍, 杨镜司, 景祥, 姚宏民, 李晓舟, 张信哲 . 计及需求响应的微能网综合能源多时空尺度优化调度[J]. 上海交通大学学报, 2023 , 57(12) : 1583 -1596 . DOI: 10.16183/j.cnki.jsjtu.2022.177

Abstract

The operation of the integrated energy system is one of the hot spots in the current energy research field. With the reform of the energy field mechanism, the integrated energy system with multi-micro-energy grids poses great challenges to the operation of the power grid. Aimed at the economic and operational problems caused by the integration of multi-micro-energy grid integrated energy systems into the upper distribution network, a multi-temporal and spatial scale optimization operation strategy for integrated energy of micro-energy grid considering demand response is proposed. Moreover, a multi-dimensional energy supply and demand balance model from the perspective of energy is constructed. Furthermore, a multi-time-space scale operation model with upper, middle, and lower layers of collaborative optimization is established. The upper layer adopts day-ahead scheduling, the middle layer adopts intraday scheduling, and the lower layer adopts real-time scheduling with replaceable, transferable, and curtailable loads for demand response optimization. Calculation examples show that this strategy can realize the co-ordination and complementation of multi-dimensional energy sources, realize the coordinated operation of multiple energy sources at different time and space scales, and improve the economy of system operation.

Key words： integrated energy system; micro-energy grid; energy supply and demand balance; demand response; multi-time-space scale

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