Development of DEPSO Island Model with Particle Speed Limit for Distribution Network Reconfigurations

Hiromitsu Ikegami; Hiroyuki Mori

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Development of DEPSO Island Model with Particle Speed Limit for Distribution Network Reconfigurations

机译：分布网络重新配置粒子速度限制的DEPSO岛模型的研制

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This paper presents a new metaheuristic method for distribution network reconfigurations. In recent years, distribution network reconfigurations play an important role to reduce the network loss with sectionalizing switches and shunt capacitors. Distribution network reconfigurations may be formulated as a combinatorial optimization of the NP hard problem. In this paper, Parallel Discrete Evolutionary Particle Swarm Optimization (PDEPSO) is proposed to deal with distribution network reconfigurations. PDEPSO is Discrete Particle Swarm Optimization (DEPSO) with the island model of parallel computation in which DEPSO integrates EPSO of adaptive PSO with the sigmoid function to handle combinatorial optimization problems. Furthermore, to improve the performance of PDEPSO, this paper develops a method that sets the particle speed limit of DEPSO to maintain the solution diversity and to evaluate better solutions. The effectiveness of the proposed method is demonstrated in the IEEE 69-node distribution system.

机译：本文介绍了一种用于分销网络重新配置的新的综合法方法。近年来，分销网络重新配置起到了一个重要的作用，以减少具有分割开关和分流电容的网络损耗。分配网络重新配置可以被配制成NP难题的组合优化。在本文中，提出了平行分立的进化粒子群优化（PDEPSO）来处理分销网络重新配置。 PDepso是离散的粒子群优化（DEPSO），具有平行计算的岛式模型，其中DEPSO与SIGMOID函数与SIGMOID函数集成到处理组合优化问题的SEPSO。此外，为了提高PDEPSO的性能，开发了一种方法，该方法设定DEPSOS的粒度极限，以维持溶液多样性并评估更好的解决方案。在IEEE 69节点分配系统中证明了所提出的方法的有效性。

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《IFAC PapersOnLine》 |2018年第28期|共6页
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Hiromitsu Ikegami; Hiroyuki Mori;
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Distribution networkDistribution automationDistribution feedersLoss minimizationArtificial intelligenceGlobal optimizationParallel computation;

机译：分配网络数字式自动化分配饲料饲料填料最小化纵智智能格式优化计算;

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Development of DEPSO Island Model with Particle Speed Limit for Distribution Network Reconfigurations

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