arameter identification for static load model based on distribution network measurement data

杨坚; 周正阳; 于杰; 沈一鸣; 汪子晨; 陈新建; 洪骋怀

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arameter identification for static load model based on distribution network measurement data

更新时间：2026-03-05

- arameter identification for static load model based on distribution network measurement data
- Vol. 23, Issue 3, (2021)
- 作者机构：
  
  1. 国网台州供电公司,浙江,台州,318000
  2. 国网浙江省电力有限公司,杭州,310007
  3. 浙江大学电气工程学院,杭州,310027
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2021
- 稿件说明：
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杨坚, 周正阳, 于杰, et al. arameter identification for static load model based on distribution network measurement data[J]. 2021, 23(3).
DOI：

杨坚, 周正阳, 于杰, et al. arameter identification for static load model based on distribution network measurement data[J]. 2021, 23(3). DOI：

摘要

电力负荷作为电力系统的终端用户，其模型的准确程度直接影响着电力系统运行分析的准确性。近年来，配电网中的量测装置记录了大量稳态数据，能否利用稳态量测数据实现静态负荷模型参数的辨识已成为新的研究问题。提出了基于配网量测数据的静态负荷参数辨识方法。首先，对专变和公变的有功量测数据进行聚类，得到日负荷特性类似的同类负荷曲线；然后，在假设同类负荷的负荷模型参数相似的基础上，建立静态负荷模型参数辨识的数学优化模型，并通过优化算法求解静态负荷模型的日时变参数；最后，通过算例验证了所提方法的可行性和有效性。

Abstract

As the terminal user of power system

the model accuracy of power load has profound influence on the accuracy of power system operation analysis. In recent years

a large amount of steady-state data has been collected by measuring devices in distribution networks. How to realize the parameters identification for static load with these measured data becomes a new research problem. A static load parameters identification method based on distribution network measured data is proposed. Firstly

the measured active power data is clustered to obtain the similar load curves with similar load characteristic. Then

under the assumption that similar load characteristic corresponds to similar load parameters

a model for static load parameters identification is established

and solved by optimization algorithm to get the parameters of daily static load.Lastly

case studies demonstrate the feasibility and effectiveness of the proposed methodt extent.

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