A Minimized Data Collection Optimization Method for Distribution Networks Considering Multiple-Time and Compressed Candidate Sets

doi:10.11930/j.issn.1004-9649.202307052

Abstract

Abstract:

At present, the insufficient observability of distribution networks leads to the lack of energy management ability of medium and low voltage distribution networks under large-scale distributed power grid connection. The minimized data collection technology for distribution networks can optimize the measurement configuration with the minimum economic cost, which plays an important role in improving the system observability. In this paper, a minimized data collection optimization method considering multiple time sections is proposed. The model of this method is solved in two stages: In the first stage, the candidate measurement set is compressed, with the Fisher information matrix (FIM) value used as the pheromone update parameter of ant colony algorithm. Since an iterative update is not required for the FIM, a significant decrease in algorithm complexity can be found. On this basis, the second stage involves a consideration of the accuracy requirement for state estimation, determining the optimal configuration scheme according to the ant colony algorithm. The comparison of schemes shows that the minimized data collection method in this paper, with a full consideration of the influence of power flow distribution changes on state estimation accuracy, realizes the intensive configuration and efficient calculation of data collection terminals, so as to ensure economical terminal investments and highly observable distribution networks.

Key words: distribution network, state estimation, minimized data collection, ant colony algorithm, Fisher information matrix (FIM), multiple-time

Zhaoxiang YUAN, Zhihong XIAO, Jing WANG, Yanling YU, Yan HUANG, Xingle GAO. A Minimized Data Collection Optimization Method for Distribution Networks Considering Multiple-Time and Compressed Candidate Sets[J]. Electric Power, 2023, 56(12): 20-30.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202307052

https://www.electricpower.com.cn/EN/Y2023/V56/I12/20

Figures/Tables 18

References 28

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量测类型		量测布置位置
节点电压幅值量测		1
节点注入功率量测		2，3，4，5
支路功率量测		1—2，2—3，3—4，4—5

量测类型		量测布置位置
节点电压幅值量测		1
节点注入功率量测		2，3，4，5
支路功率量测		1—2，2—3，3—4，4—5

方案编号	配置1处量测时的配置方案	状态估计精度
0	未配置电流幅值量测	1.6602
1	$ {I_{{\text{12}}}} $	2.3212×10^–4
2	$ {I_{23}} $	5.1805×10^–4
3	$ {I_{34}} $	1.9589×10^–4
4	$ {I_{45}} $	2.4112
本文优化方案	$ {I_{34}} $	1.9589×10^–4

方案编号	配置1处量测时的配置方案	状态估计精度
0	未配置电流幅值量测	1.6602
1	$ {I_{{\text{12}}}} $	2.3212×10^–4
2	$ {I_{23}} $	5.1805×10^–4
3	$ {I_{34}} $	1.9589×10^–4
4	$ {I_{45}} $	2.4112
本文优化方案	$ {I_{34}} $	1.9589×10^–4

方案编号	配置2个电流幅值量测时的方案	状态估计精度
0	未配置电流幅值量测	1.6602
1	$ {I_{12}},{I_{23}} $	5.2133×10^–4
2	$ {I_{12}},{I_{34}} $	1.9674 ×10^–4
3	$ {I_{12}},{I_{45}} $	2.4065 ×10^–4
4	$ {I_{23}},{I_{34}} $	4.9873×10^–4
5	$ {I_{23}},{I_{45}} $	5.0931×10^–4
6	$ {I_{34}},{I_{45}} $	1.7140 ×10^–4
本文优化方案	$ {I_{34}},{I_{45}} $	1.7140×10^–4