An Optimal Scheduling Method for Demand-Side Resource Clustering in Distribution Networks Based on Customer Directrix Load Reconfiguration

YANG Xiong; LI Juan; JIANG Yunlong; LI Hongmei; XU Wanyun; LI Xiaolu; GUO Ruipeng

doi:10.11930/j.issn.1004-9649.202412032

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An Optimal Scheduling Method for Demand-Side Resource Clustering in Distribution Networks Based on Customer Directrix Load Reconfiguration

更新时间：2025-12-08

- An Optimal Scheduling Method for Demand-Side Resource Clustering in Distribution Networks Based on Customer Directrix Load Reconfiguration
- Vol. 58, Issue 10, Pages: 163-170(2025)
- 作者机构：
  
  1. 国网江苏省电力有限公司电力科学研究院,江苏,南京,211103
  2. 上海电力大学电气工程学院,上海,200090
  3. 浙江大学电气工程学院,浙江,杭州,310027
- 作者简介：
- 基金信息：
- DOI：10.11930/j.issn.1004-9649.202412032
  CLC：
- Published Online：23 October 2025，
  
  Published：2025
- 稿件说明：
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杨雄, 李娟, 姜云龙, 李红梅, 徐婉云, 李晓露, 郭瑞鹏. 基于负荷准线重构的配电网需求侧资源集群优化调度方法[J]. 中国电力, 2025, 58(10): 163-170.

YANG Xiong, LI Juan, JIANG Yunlong, et al. An Optimal Scheduling Method for Demand-Side Resource Clustering in Distribution Networks Based on Customer Directrix Load Reconfiguration[J]. 2025, 58(10): 163-170.
杨雄, 李娟, 姜云龙, 李红梅, 徐婉云, 李晓露, 郭瑞鹏. 基于负荷准线重构的配电网需求侧资源集群优化调度方法[J]. 中国电力, 2025, 58(10): 163-170. DOI： 10.11930/j.issn.1004-9649.202412032.

YANG Xiong, LI Juan, JIANG Yunlong, et al. An Optimal Scheduling Method for Demand-Side Resource Clustering in Distribution Networks Based on Customer Directrix Load Reconfiguration[J]. 2025, 58(10): 163-170. DOI： 10.11930/j.issn.1004-9649.202412032.

摘要

需求响应是配电网灵活性调节和需求侧资源优化调度的关键手段。为了充分利用需求侧资源的可调节能力，提出一种基于负荷准线重构的配电网需求侧资源集群优化调度方法。采用模糊集构建新能源出力不确定性模型，重构考虑新能源预测误差的负荷准线模型，并利用时段解耦降维的思想对可调负荷资源集群的可调节功率域进行量化，提出需求侧资源集群参与准线型响应的日前日内优化模型。通过仿真算例验证，所提方法不但能够实现新能源消纳能力的提升，而且可以提高电网的经济效益。

Abstract

Demand response is a key means of regulating the flexibility of the distribution network and optimizing the dispatch of demand-side resources. To fully utilize the adjustable of demand-side resources

a demand-side resource cluster optimization dispatch method based on load baseline reconstruction in the distribution network is proposed. A fuzzy set is used to construct an model for the output of new energy

and a load baseline model considering the prediction error of new energy is reconstructed. The adjustable power domain of the adjustable load resource cluster is quantified based the idea of time-period decoupling dimensionality reduction

and an intraday optimization model for the demand-side resource cluster participating in the baseline-type response is proposed. Through the example

it can be seen that the proposed method can not only improve the new energy consumption capacity

but also improve the economic benefits of the power grid.

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references

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