基于改进鲸鱼算法的含DG配电网故障区段定位

doi:10.16180/j.cnki.issn1007-7820.2023.01.003

Abstract

Abstract:

In view of the problems of slow convergence speed and low positioning accuracy of whale optimization algorithm, a fault section location method based on improved whale algorithm for distribution network with distributed generation is proposed in this study. A mathematical model suitable for fault location of multi-source distribution network is constructed. The adaptive inertia weight strategy is used to optimize the whale algorithm, and the improved whale algorithm is used to solve the location model. The simulation results of a 33-node distribution network with distributed power supply show that in the case of single and multiple faults in the distribution network, the improved whale algorithm can quickly and accurately locate the faulty section, and has good fault-tolerant performance. Compared with the traditional whale algorithm, the improved whale algorithm has faster convergence speed, higher positioning accuracy, which improves the reliability of positioning.

Key words: distributed generation, fault location, traditional whale algorithm, adaptive inertia weight, improved whale algorithm, distribution network, fault tolerance, reliability

CLC Number:

TP183

XU Lili,YANG Chao,ZENG Haoran. Fault Section Location of Distribution Network with DG Based on Improved Whale Algorithm[J].Electronic Science and Technology, 2023, 36(1): 15-20.

Figures/Tables 10

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References 20

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实验编号	[K₁,K₂,K₃]	故障区段	畸变位置	定位结果	适应度值
1	[0,0,0]	5	无	5	0.5
2	[0,0,1]	10	7	10	1.5
3	[0,1,1]	17	9,27	17	2.5
4	[1,1,1]	9	无	9	0.5
5	[1,1,1]	6	10,16,31	6	3.5

实验编号	[K₁,K₂,K₃]	故障区段	畸变位置	定位结果	适应度值
6	[0,0,0]	10,29	4	10,29	2.0
7	[0,0,1]	14,28	7,32	14,28	3.0
8	[0,1,1]	10,24,27	16	10,24,27	2.5
9	[1,1,1]	13,20,26	无	13,20,26	1.5
10	[1,1,1]	16,31	11,29	16,31	3.0

故障情形	算法类型	平均迭代次数	准确次数	正确率/%
1	IWOA	6.7	50	100
1	WOA	8.4	50	100
2	IWOA	7.6	50	100
2	WOA	9.6	49	98
3	IWOA	12.8	50	100
3	WOA	15.7	48	96
4	IWOA	13.1	50	100
4	WOA	16.3	47	94

Fault Section Location of Distribution Network with DG Based on Improved Whale Algorithm

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