Optimal Scheduling of Multiple Random Considering Electric-thermal Coupled System Thermal Resistance and Wind Power Uncertainty

ZHANG Lei; YANG Zilong; YE Jing; YANG Chen; TAO Qianhui; WANG Mankang

doi:10.13296/j.1001-1609.hva.2025.05.005

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Optimal Scheduling of Multiple Random Considering Electric-thermal Coupled System Thermal Resistance and Wind Power Uncertainty

The Key Technologies for Energy Conservation and Carbon Reduction in New Power Systems | 更新时间：2025-05-25

- Optimal Scheduling of Multiple Random Considering Electric-thermal Coupled System Thermal Resistance and Wind Power Uncertainty
- High Voltage Apparatus Vol. 61, Issue 5, Pages: 41-52(2025)
- 作者机构：
  
  三峡大学电气与新能源学院，湖北　宜昌　 443002
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(52007103)
- DOI：10.13296/j.1001-1609.hva.2025.05.005
  CLC：
- Received：03 December 2024，
  
  Revised：18 February 2025，
  
  Published：16 May 2025
- 稿件说明：
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ZHANG Lei, YANG Zilong, YE Jing, et al. Optimal Scheduling of Multiple Random Considering Electric-thermal Coupled System Thermal Resistance and Wind Power Uncertainty[J]. High voltage apparatus, 2025, 61(5): 41-52.
DOI：

ZHANG Lei, YANG Zilong, YE Jing, et al. Optimal Scheduling of Multiple Random Considering Electric-thermal Coupled System Thermal Resistance and Wind Power Uncertainty[J]. High voltage apparatus, 2025, 61(5): 41-52. DOI： 10.13296/j.1001-1609.hva.2025.05.005.

摘要

热网热损特性对于热力系统热网管道温度动态过程影响巨大，且在电热联合调度中受热阻的不确定性变化影响显著。针对实际工况中热网热阻的不确定性变化，分析了热损特性对于热网管道温度影响机理，研究其差异性变化，提出了一种考虑热阻不确定性变化热损特性影响的热网管道温度动态过程约束模型。基于此，建立了同时考虑热网热阻和风电不确定性影响的多重随机电热耦合系统调度模型及其信息间隙鲁棒优化求解策略，最后通过算例验证了所提模型的有效性。

Abstract

The heat loss characteristics of heat network have a great influence on the dynamic process of heat network pipeline temperature of heat system

and are significantly affected by the uncertainty change of heat resistance in the joint scheduling of electricity and heat. Aiming at the uncertainty change of thermal resistance of thermal network in actual working conditions

the mechanism of heat loss characteristics on thermal network pipeline temperature is analyzed

and its differential change is investigated

so that a constraint model of the dynamic process of thermal network pipeline temperature considering the influence of uncertainty change of thermal resistance and heat loss characteristics is proposed. Based on this

a multiple stochastic electric-thermal coupled system scheduling model and its information gap robust optimization solution strategy

which simultaneously consider the effects of thermal resistance and wind power uncertainty in the thermal network

are established

and finally the effectiveness of the proposed model is verified by an example.

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