计及用户响应行为差异性的区域电采暖负荷特性建模

WANG Zhiqiang

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计及用户响应行为差异性的区域电采暖负荷特性建模

更新时间：2025-08-13

- 计及用户响应行为差异性的区域电采暖负荷特性建模
- Automation of Electric Power Systems Vol. 43, Issue 7, Pages: 67-73(2019)
- 作者机构：
  
  新能源电力系统国家重点实验室(华北电力大学),北京市,102206
- 作者简介：
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- Published：2019
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WANG Zhiqiang. [J]. Automation of electric power systems, 2019, 43(7): 67-73.
DOI：

WANG Zhiqiang. [J]. Automation of electric power systems, 2019, 43(7): 67-73. DOI：

摘要

多样化的用户需求及差异化的响应行为对计及需求响应的“煤改电”负荷特性造成了较大影响。为精细地刻画不同用户需求响应行为，提出了一种考虑需求和响应行为双重差异性的区域电采暖负荷特性建模方法。首先考虑用户自身特性与外界环境因素，提出差异化用户热舒适温度模型，并结合建筑空气温度时变方程提出了热负荷特性建模方法；其次采用多目标优化方法和基于离散选择模型的决策方法，来模拟用户的差异化响应行为，以求得单类用户的电负荷特性。最后根据热需求与响应行为的影响因素建立区域用户分类标准，提出多类型用户聚合负荷特性建模方法。通过算例分析验证了模型在提高负荷特性求解精度方面的有效性。

Abstract

Diversified users demands and differentiated response behaviors have a major impact on the characteristics of “coal-to-electricity” load considering demand responses. In order to reflect different users response behaviors accurately

a modeling method for characteristics of regional electric heating load is proposed considering the dual differences between demands and response behaviors. Firstly

considering users own characteristics and external environmental factors

a differential users thermal comfortable temperature model is proposed

and then thermal load characteristic modeling method is proposed based on the air temperature time-varying equation of the building. Secondly

the multi-objective optimization method and the decision-making method based on discrete choice model are used to simulate the users' differentiated response behaviors to obtain the electrical load characteristics of single-class users. At last

the regional load classification standard is established according to thermal demands and response behaviors

and the modeling method of various aggregated users load characteristics is proposed. The analysis of examples shows that effectiveness of the model in improving the accuracy of load characteristics is verified.

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Related Institution

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University)

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Anhui Electric Power Transmission and Transformation Co., Ltd.

Marketing Department of State Grid Anhui Electric Power Co., Ltd.

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