考虑柔性资源协同互动的配电网灵活性评估方法

doi:10.11930/j.issn.1004-9649.202403021

摘要/Abstract

摘要：

提出一种考虑柔性资源协同互动的配电网灵活性评估方法。首先，构建包含协同调节能力、协作效益质量和电网可靠性三方面的灵活性评估指标体系；其次，采用高斯混合模型构建了典型运行场景，采用层次分析法和随机森林模型分别确定评估指标的主观权重与客观权重，并通过双层评估流程，计算得到各典型场景下的评估指标值；然后，根据典型场景的出现概率，加权得到各个柔性资源接入方案的综合灵活性评估指标值；最后，通过54节点配电网算例分析，验证了所提方法的可行性和有效性。

关键词: 配电网, 柔性资源, 灵活性评估, 随机森林

Abstract:

A distribution network flexibility evaluation method considering collaborative interaction of flexible resources is proposed. Firstly, a flexibility evaluation indicator system is constructed, which includes three aspects: collaborative regulation capacity, collaborative efficiency quality, and power grid reliability. Secondly, a Gaussian mixture model is used to construct typical operating scenarios, and the subjective and objective weights of evaluation indicators are determined using Analytic Hierarchy Process and Random Forest Model, respectively. Through a double-layer evaluation process, the evaluation indicator values for each typical scenario are calculated. Then, based on the probability of typical scenarios appearing, the comprehensive flexibility evaluation index values of each flexible resource access scheme are weighted. Finally, the feasibility and effectiveness of the proposed method are verified through the case study on a 54-bus distribution network.

Key words: distribution network, flexible resources, flexibility evaluation method, random forest

刘志文, 李岩, 邵冲, 范心明, 曾庆辉. 考虑柔性资源协同互动的配电网灵活性评估方法[J]. 中国电力, 2024, 57(10): 158-165.

Zhiwen LIU, Yan LI, Chong SHAO, Xinming FAN, Qinghui ZENG. Distribution Network Flexibility Evaluation Method Considering Collaborative Interaction of Flexible Resources[J]. Electric Power, 2024, 57(10): 158-165.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202403021

https://www.electricpower.com.cn/CN/Y2024/V57/I10/158

图/表 10

图 1 配电网灵活性评估指标体系

Fig.1 Flexibility evaluation index system of distribution network

图 2 配电网灵活性评估流程

Fig.2 Distribution network flexibility evaluation

图 3 Portugal 54节点算例系统

Fig.3 Portugal 54 bus system

表 1 柔性资源接入方案

Table 1 The flexible resource access scheme

编号	接入节点	柔性资源类型	各节点接入容量
方案1	—	—	—
方案2	4、9、10、35	分布式储能	500 kW/1 MW·h
方案3	4、9、10、35	电动汽车充电站	1 MW
方案4	6、12、23、36	分布式储能	500 kW/1 MW·h
方案5	6、12、23、36	电动汽车充电站	1 MW

图 4 风电、光伏、负荷典型场景数据

Fig.4 Typical scenarios data of wind power, photovoltaic, load

表 2 典型日场景代表的数量和概率

Table 2 Quantities and probabilities represented by typical scenarios

典型日场景编号	数量	概率
1	63	0.1726
2	134	0.3671
3	71	0.1945
4	97	0.2657

表 3 配电网灵活性评估指标权重

Table 3 Distribution network flexibility evaluation index weight

指标	主观权重	客观权重	组合权重
$ {\lambda _{{\text{RC}}}} $	0.1218	0.0909	0.10635
$ {\lambda _{{\text{RE}}}} $	0.1157	0.0964	0.10605
$ {\lambda _{{\rm{p {\text -} v}}}} $	0.1113	0.1818	0.14655
$ {\lambda _{{\text{loss}}}} $	0.0268	0.0455	0.03615
$ {\lambda _{{{\Delta \rm V}}}} $	0.2253	0.1055	0.16540
$ {\lambda _{{\text{FR,max}}}} $	0.0919	0.1364	0.11415
$ {\lambda _{{\text{LF}}}} $	0.1235	0.0271	0.07530
${\lambda _{{\text{IE}}}}$	0.1837	0.3164	0.25005

图 5 场景2中不同柔性资源接入方案下的指标值

Fig.5 Indicator values under different flexible resource access schemes in Scenario 2

图 6 不同DG波动水平下的线路潮流熵

Fig.6 Power flow entropy under different DG fluctuation levels

表 4 各柔性资源接入方案的灵活性综合指标及排序

Table 4 Comprehensive flexibility indicators and ranking of various flexible resource access solutions

比较方案	方案1	方案2	方案3	方案4	方案5
灵活性评估值	1	3.5935	2.9127	2.9621	2.4907
排序	⑤	①	③	②	④

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