Multi-time-scale Dispatching of Integrated Electricity and Thermal System Considering Time-sharing Compensation of Wind Power Forecasting Error

被引：0

作者：

Han L. ^{[1
]}

Wang X. ^{[1
]}

Lu P. ^{[1
]}

Li M. ^{[1
]}

机构：

[1] School of Electrical Engineering, China University of Mining and Technology, Xuzhou

来源：

Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2023年 / 47卷 / 01期

基金：

中国国家自然科学基金;

关键词：

forecasting error; heat storage and release of pipe network; multiple time scale; thermal inertia of heating area; wind power;

D O I：

10.7500/AEPS20210930007

中图分类号：

学科分类号：

摘要：

Due to the uncertainty of wind power, wind power forecasting errors are unavoidable. The thermal system has the ability to store and release heat. By adjusting the thermal power to shift the wind power, the impact of wind power forecasting errors can be reduced. However, when the wind power is integrated into the integrated electricity and thermal system, the wind power changes frequently, and the thermal system has large inertia and delay, making it difficult to synchronize with the wind power; in addition, different areas of the thermal system respond differently to power system commands. Therefore, in order to solve the problem of non-synchronization of response time when using the thermal system to compensate wind power forecasting errors, a multi-time-scale dispatching strategy of the integrated electricity and thermal system that considers time-sharing compensation of wind power forecasting errors is proposed. First, the evaluation periods of the probability interval error evaluation and the real-time forecasting error evaluation are analyzed, and then the time characteristics of heating area and pipe network in the thermal system are studied. Finally, in the day-ahead stage, the heating area with a slower response speed is used to compensate the probability interval error with a longer evaluation period, and in the real-time stage, the pipeline network with a faster response speed is used to compensate for the real-time forecasting error with a short evaluation period. A multi-time-scale dispatching model is established. The analysis of calculation examples shows that the proposed strategy achieves the time matching of different dispatching periods, different forecasting error evaluation periods, and different response speeds of thermal system areas, which reduces the impact of wind power forecasting errors, and improves the wind power accommodation capacity of the system. © 2023 Automation of Electric Power Systems Press. All rights reserved.

引用

页码：74 / 85

页数：11

共 30 条

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