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

doi:10.11930/j.issn.1004-9649.202412032

中国电力 ›› 2025, Vol. 58 ›› Issue (10): 163-170.DOI: 10.11930/j.issn.1004-9649.202412032

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

杨雄¹(), 李娟¹(), 姜云龙¹(), 李红梅²(), 徐婉云², 李晓露², 郭瑞鹏³

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

收稿日期:2024-12-06 发布日期:2025-10-23 出版日期:2025-10-28
作者简介:
杨雄（1983），男，博士，高级工程师，从事电力系统运行分析控制和配电自动化技术研究，E-mail：hhyangxiong@126.com
李娟（1987），女，博士，高级工程师，从事配电网保护控制和配网数字化技术研究，E-mail：lijuandan@126.com
姜云龙（1994），男，硕士，工程师，从事配电网可靠性分析和配网数字化技术研究，E-mail：jyl_jsdky@163.com
李红梅（2001），女，通信作者，硕士研究生，从事基于态势感知技术的配电网自愈控制研究，E-mail：19159106029@163.com
基金资助:
国家电网有限公司科技项目（5400-202340556A-3-2-ZN）。

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

YANG Xiong¹(), LI Juan¹(), JIANG Yunlong¹(), LI Hongmei²(), XU Wanyun², LI Xiaolu², GUO Ruipeng³

1. Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd., Nanjing 211103, China
2. Department of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
3. Department of Electrical Engineering, Zhejiang University, Hangzhou 310027, China

Received:2024-12-06 Online:2025-10-23 Published:2025-10-28
Supported by:
This work is supported by Science and Technology Project of SGCC (No.5400-202340556A-3-2-ZN).

摘要/Abstract

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。

关键词: 不确定性分析, 负荷准线, 分布鲁棒优化, 需求响应

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.

Key words: uncertainty analysis, customer directrix load, robust optimization of distribution, demand response

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, LI Hongmei, XU Wanyun, LI Xiaolu, GUO Ruipeng. An Optimal Scheduling Method for Demand-Side Resource Clustering in Distribution Networks Based on Customer Directrix Load Reconfiguration[J]. Electric Power, 2025, 58(10): 163-170.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202412032

https://www.electricpower.com.cn/CN/Y2025/V58/I10/163

图/表 9

图 1 聚合资源的可调节功率域

Fig.1 Adjustable power domain for aggregated resources

图 2 改进的IEEE 33节点配电系统

Fig.2 Improved IEEE 33 bus system

图 3 空调集群可调功率

Fig.3 Air-conditioning cluster adjustable power

图 4 电动汽车集群可调节总功率边界

Fig.4 Adjustable total power boundary for electric vehicle clusters

图 5 方案1最优用电轨迹

Fig.5 Case1 optimal power usage trajectory

图 6 方案2最优用电轨迹

Fig.6 Case2 optimal power usage trajectory

图 7 方案3最优用电轨迹

Fig.7 Case3 optimal power usage trajectory

表 1 不同场景下电网的经济效益

Table 1 Economic benefits of the grid under different cases

方案	与重构前准线相似度/%	与重构后准线相似度/%	激励成本/元	用电成本/元	净成本/ 元	新能源消纳率/%
1	28.1	35.8	0	22 981.5	23 022.6	76.2
2	21.3	89.1	6 724.6	46 392.9	39 718.4	83.4
3	23.6	84.3	5 038.8	21 075.1	16 101.5	87.6

图 8 空调、电动汽车响应容量

Fig.8 Air conditioning, electric vehicle response capacity

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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

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

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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

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

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