Application of Metaheuristic Algorithms for Optimization of Recloser Placement in a Power Supply System with Distributed Generation

IF 0.5 4区 数学 Q3 MATHEMATICS
N. N. Sergeev, P. V. Matrenin
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引用次数: 0

Abstract

Efficiency and reliability optimization of distribution networks is an important task in the design of power supply systems, and its complexity increases with the development of new technologies such as distributed generation. One way to improve network reliability is through the installation and optimal placement of automatic circuit reclosers. The presence of distributed generation units and reclosers significantly increases the dimensionality of the optimization problem, thus necessitating the use of alternative approaches to solve it. The goal of the research is to analyze the effectiveness of metaheuristic algorithms in the recloser quantity and allocation optimization problem in a distribution network. The scientific novelty of the study lies in simultaneously considering the failure rate of network elements and changes in operating condition in case of contingencies. The practical significance of the work is demonstrated through the effectiveness of using metaheuristic methods when selecting the optimal equipment configuration in electrical networks. To solve the optimization problem of recloser placement in a 24-bus 10 kV network, the genetic algorithm, evolutionary strategy, and adaptive particle swarm optimization were considered. Computational experiments showed that the genetic algorithm is the most efficient in this case. The results can be further used in the development of methodological guidelines for designing distribution networks of various voltage classes.

Abstract Image

元启发式算法在分布式供电系统重合闸布置优化中的应用
配电网的效率和可靠性优化是供电系统设计中的一项重要任务,随着分布式发电等新技术的发展,配电网效率和可靠性优化的复杂性不断增加。提高网络可靠性的一种方法是安装和优化自动电路复位器。分布式发电机组和重合闸的存在大大增加了优化问题的维度,因此需要使用替代方法来解决它。研究的目的是分析元启发式算法在配电网重合闸数量和分配优化问题中的有效性。本研究的科学新颖之处在于,在突发事件的情况下,同时考虑了网络要素的故障率和运行状态的变化。通过使用元启发式方法选择电网中最优设备配置的有效性,证明了工作的实际意义。针对24母线10kv电网中重合闸布设的优化问题,综合考虑了遗传算法、进化策略和自适应粒子群算法。计算实验表明,遗传算法在这种情况下是最有效的。这些结果可以进一步用于设计各种电压等级的配电网的方法学指导方针的发展。
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来源期刊
Doklady Mathematics
Doklady Mathematics 数学-数学
CiteScore
1.00
自引率
16.70%
发文量
39
审稿时长
3-6 weeks
期刊介绍: Doklady Mathematics is a journal of the Presidium of the Russian Academy of Sciences. It contains English translations of papers published in Doklady Akademii Nauk (Proceedings of the Russian Academy of Sciences), which was founded in 1933 and is published 36 times a year. Doklady Mathematics includes the materials from the following areas: mathematics, mathematical physics, computer science, control theory, and computers. It publishes brief scientific reports on previously unpublished significant new research in mathematics and its applications. The main contributors to the journal are Members of the RAS, Corresponding Members of the RAS, and scientists from the former Soviet Union and other foreign countries. Among the contributors are the outstanding Russian mathematicians.
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