基于多源数据深度融合的配电网运行评价方法

doi:10.11930/j.issn.1004-9649.202306073

中国电力 ›› 2024, Vol. 57 ›› Issue (6): 193-203.DOI: 10.11930/j.issn.1004-9649.202306073

基于多源数据深度融合的配电网运行评价方法

乔俊峰¹(), 周爱华¹(), 彭林¹(), 王一清²(), 沈晓峰³, 潘森¹, 杨佩¹, 黄晨宏³

1. 国网智能电网研究院有限公司电力网络安全防护与监测技术实验室，江苏南京　210003
2. 国网江苏省电力有限公司徐州供电公司，江苏徐州　221005
3. 国网上海市电力公司青浦供电公司，上海　201799

收稿日期:2023-06-21 接受日期:2024-01-04 出版日期:2024-06-28 发布日期:2024-06-25
作者简介:乔俊峰（1989—），男，高级工程师，通信作者，从事配电网数字孪生及拓扑分析应用技术研究，E-mail：1318558905@qq.com
周爱华（1980—），男，高级工程师，从事配电网分析技术研究，E-mail：574392148@qq.com
彭林（1978—），男，高级工程师，从事配电网分析技术研究，E-mail：penglin@geiri.sgcc.com.cn
王一清（1973—），男，高级工程师，从事配电网规划与调度运行研究，E-mail：85589159@qq.com
基金资助:
国家电网有限公司科技项目（新型配电网数据深度融合与资源共享技术研究，5400-202258431A-2-0-ZN）。

An Evaluation Method for Distribution Network Operation Based on Multi-source Data Deep Fusion

Junfeng QIAO¹(), Aihua ZHOU¹(), Lin PENG¹(), Yiqing WANG²(), Xiaofeng SHEN³, Sen PAN¹, Pei YANG¹, Chenhong HUANG³

1. State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology, State Grid Smart Grid Research Institute Co., Ltd., Nanjing 210003, China
2. Xuzhou Power Supply Company, State Grid Jiangsu Electric Power Co., Ltd., Xuzhou 221005, China
3. Qingpu Power Supply Company, State Grid Shanghai Municipal Electric Power Company, Shanghai 201799, China

Received:2023-06-21 Accepted:2024-01-04 Online:2024-06-28 Published:2024-06-25
Supported by:
This work is supported by Science and Technology Project of SGCC (Research on Deep Data Fusion and Resource Sharing Technology for New Distribution Networks, No.5400-202258431A-2-0-ZN).

摘要/Abstract

摘要：

配电网作为供电环节中的最后一环，其运行水平决定了供电服务质量，因此配电网运行评价是供电单位的重要工作。但配电网运行评价工作受到跨业务数据资源难以融合、评价指标选择难以反映实际配电网运行状况等条件限制，现有评价方法难以实施应用。针对这一问题，提出一种基于多源数据深度融合的配电网运行评价方法，首先对区域配电网进行网格化划分，然后基于地址分级匹配算法对跨业务的多源异构数据进行深度融合。在此基础上，提取并设计配电网运行评价指标体系，构建基于多层权重约束的配电网运行综合评价模型，求解配电网综合评价结果。最后研发配电网运行评价系统，支持配电网各业务系统的多源异构数据的统一接入，实现配电网评价功能的可视化、智能化应用。研究成果配电网运行评价系统已采用某省级电网公司数据中台的相关数据进行配电网运行状态评估试验验证，以实际运行数据验证了所述方法的准确性和适用性。

关键词: 配电网运行评价, 网格化划分, 深度数据融合, 评价指标体系, 评价验证

Abstract:

As the last link in the power supply process, the distribution network determines the quality of power supply services by its operational level. Scientific evaluation of the distribution network’s operational level is thus an important task for power supply companies. However, the existing evaluation methods are difficult to implement and apply due to the fact that the multi-source data are hard to be fused and the evaluation indicators are poor in reflecting the actual operation status of the distribution network. To address above-said problem, this paper proposes an evaluation method for distribution network operation based on multi-source data deep fusion. Firstly, the regional distribution network is divided into multiple grids, and then the address gradation based matching algorithm is used to fuse multi-source heterogeneous data. Based on the results, the distribution network operation evaluation index system is designed and a distribution network operation comprehensive evaluation model based on multi-layer weight constraints is constructed to obtain the distribution network comprehensive evaluation results. Finally, a distribution network operation evaluation system is developed to support the unified access of multi-source heterogeneous data from various business systems of the distribution network, achieving the visualization and intelligent application of distribution network evaluation functions. The proposed distribution network operation evaluation system is connected to the data center of a provincial power grid company for verification, and the accuracy and applicability of the proposed method have been verified with actual operation data.

Key words: distribution network operation evaluation, grid partitioning, deep data fusion, evaluation index system, evaluation verification

乔俊峰, 周爱华, 彭林, 王一清, 沈晓峰, 潘森, 杨佩, 黄晨宏. 基于多源数据深度融合的配电网运行评价方法[J]. 中国电力, 2024, 57(6): 193-203.

Junfeng QIAO, Aihua ZHOU, Lin PENG, Yiqing WANG, Xiaofeng SHEN, Sen PAN, Pei YANG, Chenhong HUANG. An Evaluation Method for Distribution Network Operation Based on Multi-source Data Deep Fusion[J]. Electric Power, 2024, 57(6): 193-203.

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图/表 12

参考文献 25

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设备编号	设备名称	设备地址	电压等级/kV	所属单位编号
2932000231	**电能表	省市***	10	3021153
5123446032	**电能表	省市***	10	3021140
5367086628	**开关柜	省市***	10	3021151
···	···	···	···	···

设备编号	设备名称	设备地址	电压等级/kV	所属单位编号
2932000231	**电能表	省市***	10	3021153
5123446032	**电能表	省市***	10	3021140
5367086628	**开关柜	省市***	10	3021151
···	···	···	···	···

用户编号	计量点编号	电能表编号	用电地址	类别
8838935505	300052000000	400426991	省市***	非工业
8838709047	300046000000	1541907743	省市***	非工业
8839011830	300055000000	1543785146	省市***	非工业
···	···	···	···	···

用户编号	计量点编号	电能表编号	用电地址	类别
8838935505	300052000000	400426991	省市***	非工业
8838709047	300046000000	1541907743	省市***	非工业
8839011830	300055000000	1543785146	省市***	非工业
···	···	···	···	···

供电区域类型T_area	负荷密度θ	系数R
$ {A}^{+} $	θ≥30	R_A+
A	15≤θ＜30	R_A
B	6≤θ＜15	R_B
C	1≤θ＜6	R_C
D	θ＜1	0

基于多源数据深度融合的配电网运行评价方法

An Evaluation Method for Distribution Network Operation Based on Multi-source Data Deep Fusion

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一级指标	二级指标	三级指标	四级指标	权重
供电可靠性	户均停电	—	—	5.000
	电网结构	标准化接线	N–1通过率	5.000
			标准化接线	5.000
			架空分段率	2.500
		供电半径	10（20）kV供电半径	2.500
		供电半径	0.4 kV供电半径	2.500
		线路联络	线路联络率	5.000
		线路联络	站间联络率	2.500
	设备运维	平均投运年限	线路投运年限	1.000
			配变投运年限	0.750
			环网单元投运年限	0.375
			电缆分支投运年限	0.375
		线路绝缘化	架空线路绝缘化率	0.500
		线路绝缘化	线路电缆化率	0.500
		优质服务	万户投诉率	2.500
		优质服务	万户运检类投诉率	2.500
	配电自动化建设	配电自动化率	—	5.000
	配电自动化建设	平均终端	—	2.500
	故障处理	故障发生	线路故障停运率	2.500
			配变停运率	2.500
			配变重复停运率	2.500
		抢修效率	万户报修数	2.500
			抢修平均到现场时间	2.500
			故障平均修复时间	2.500
		配电自动化实用化指数	终端在线率	2.500
			遥控使用率	1.500
			FA正确动作率	1.500
			FA投运率	1.000
基础数据	线路长度	—	线路长度异动（月）	1.000
	配变	—	配变异动增长（月）	1.000
	配电站	—	配电站异动增长（月）	0.500
运行水平	供电能力	—	线路最大负载率均值	2.500
		—	重载线路占比	2.500
		—	配变最大负载率均值	2.500
		—	重载配变占比	2.500
	经济运行	—	轻载线路占比	2.500
		—	轻载配变占比	2.500
		—	综合电压合格率	2.500
		—	低电压用户占比	2.500
		—	综合线损率	5.000
开放容量	—	—	—	5.000
合计				100

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基于多源数据深度融合的配电网运行评价方法

An Evaluation Method for Distribution Network Operation Based on Multi-source Data Deep Fusion

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