基于差分进化算法的配电网智能换相策略

doi:10.6040/j.issn.1672-3961.0.2020.110

摘要/Abstract

摘要：

结合三相智能换相开关的换相过程, 提出一种以差分进化算法为核心、以混合固态开关为基础的配电网智能换相系统。以三相电流不平衡度和换相开关动作次数为目标, 采用差分进化算法对换相策略进行寻优, 通过初始化、变异、交叉与选择操作, 获得最优的换相策略, 提高了系统的实时性和准确性。通过将磁保持继电器与以绝缘栅双极型晶体管(insulated gate bipolar transistor, IGBT)为主体的固态开关相结合方式, 提出采用混合固态开关进行快速切换的方法, 使换相开关具有功耗低、通流能力强的特点, 提高了系统的可靠性。通过实际测试验证了算法和切换开关在快速切换与提高换相过程电能质量方面的可行性。

关键词: 三相不平衡, 三相智能换相开关, 差分进化算法, 贪心算法, 换相策略

Abstract:

The application of three-phase intelligent commutation switch was an effective measure to solve the problem of three-phase load imbalance in low-voltage distribution network. Based on the commutation process of the three-phase intelligent commutation switch, an intelligent commutation system of the distribution network was proposed, which took the differential evolution algorithm as the core and the mixed solid-state switch as the foundation. Aiming at the unbalance degree of three-phase current and the action times of commutation switch, differential evolution algorithm was used to optimize the commutation strategy. The optimal commutation strategy was obtained through initialization, mutation, crossover and selection operation, which improved the real-time and accuracy of the system. In this paper, through the combination of magnetic holding relay and IGBT based solid-state switch, a fast switching method using hybrid solid-state switch was proposed, which the commutation switch showed the characteristics of low power consumption and strong current passing ability, and improved the reliability of the system. The feasibility of the algorithm and switch in fast switching and im-proving the power quality of the commutation process was verified by practical test.

Key words: three-phase imbalance, three-phase intelligent commutation switch, differential evolution algorithm, greedy algorithm, commutation strategy

中图分类号:

赵云龙, 车仁飞, 陈家辉. 基于差分进化算法的配电网智能换相策略[J]. 山东大学学报 (工学版), 2021, 51(5): 107-113.

Yunlong ZHAO, Renfei CHE, Jiahui CHEN. Intelligent commutation system of distribution network based on differential evolution algorithm[J]. Journal of Shandong University(Engineering Science), 2021, 51(5): 107-113.

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换相开关编号	所测有效电流/A	换相前所在相别	换相后所在相别
1	20.79	A相	B相
2	34.44	A相	C相
3	29.56	B相	B相
4	33.28	A相	A相
5	20.25	C相	A相
6	11.23	C相	C相
7	18.55	A相	A相
8	6.45	C相	C相
9	25.78	B相	C相
10	11.54	B相	B相
11	20.45	C相	C相
12	10.57	A相	A相
13	20.55	B相	A相
14	13.46	C相	B相
15	5.67	C相	C相
16	28.89	B相	B相