2025年5月12日 周一
首页 > 过刊浏览>2023年第38卷第6期 >187-197. DOI:10.19781/j.issn.1673-9140.2023.06.020
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基于负荷有序聚类的主动配电网储能规划方法
CSTR:
[cstr]
作者:
作者单位:

(重庆大学输配电装备及系统安全与新技术国家重点实验室，重庆 400044)

通讯作者:

熊小伏（1962—），男，博士，教授，博士生导师，主要从事电力系统继电保护与电力系统优化运行等研究；E?mail：cquxxf@vip.sina.com

中图分类号:

TM715

基金项目:

国家自然科学基金—智能电网联合基金(U1866603)


Energy storage planning method of active distribution network based on load ordered clustering
Author:
Affiliation:

(State Key Laboratory of Power Transmission and Distribution Equipment and System Safety and New Technology， Chongqing University， Chongqing 400044， China)

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    摘要:

    为了充分挖掘电力负荷的时序性、周期性特点，进而提升配电网储能规划的可靠性与经济性，首先，在对全年3种典型负荷曲线进行相似度分析的基础上，通过有序聚类法对各类负荷曲线按照全年时间序列进行更精细聚类；然后，将配电网中移动储能动态配置的最小时间单位按月规划，进而提出一种基于负荷有序聚类的主动配电网储能规划方法；最后，采用IEEE 33节点系统对所提方法进行验证。算例结果表明：考虑负荷实际时序特性的储能配置方案经济性更优，更能真实反映配电网的实际运行情况。该方案是对配电网中储能设备灵活运用的有效扩展，可以更好地服务于主动配电网负荷多变的运行情况，进而更好地发挥储能作用。

    Abstract:

    To fully explore the temporal and cyclical characteristics of electric power loads and further enhance the reliability and cost-effectiveness of energy storage planning for distribution networks, firstly, based on the similarity analysis of three typical load curves throughout the year, a more refined clustering is performed on various load curves using the ordered clustering method according to the annual time series. Subsequently, the minimum time unit for dynamically configuring mobile energy storage in the distribution network is planned on a monthly basis. Thereby an active distribution network energy storage planning method is proposed based on ordered clustering of loads. Finally, the proposed method is validated using the IEEE?33 node system. The case study results indicate that the energy storage configuration scheme, taking into account the actual temporal characteristics of the load, exhibits better economic efficiency and provides a more realistic reflection of the actual operation of the distribution network. The approach represents an effective extension of the flexible utilization of energy storage devices in distribution networks. It can better serve the dynamic operational conditions of active distribution networks, thereby enhancing the role of energy storage.

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杜向阳,熊小伏,王 建,等.基于负荷有序聚类的主动配电网储能规划方法[J].电力科学与技术学报,2023,38(6):187-197.
DU Xiangyang, XIONG Xiaofu, WANG Jian, et al. Energy storage planning method of active distribution network based on load ordered clustering[J]. Journal of Electric Power Science and Technology,2023,38(6):187-197.

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