Power system reconfiguration and loss minimization for a distribution systems using ＂Catfish PSO＂ algorithm

• Published in: Frontiers in Energy 2014-12, Vol.8 (4), p.434-442
• Main Authors: Sathish KUMAR, K, NAVEEN, S
• Format: Article
• Language: English
• Subjects: Algorithms; Analysis; catfish particle swarm optimization (catfish PSO); Combinatorial analysis; distribution system reconfiguration (DFR); Electric power generation; Electricity distribution; Energy; Energy Systems; Feeders; Genetic algorithms; Mathematical programming; Minimization; Networks; Optimization; Optimization techniques; power loss reduction; PSO; radial structure; Reconfiguration; Research Article; Studies; Switches; Switching theory; Test systems; 分配系统; 功率损失; 动力系统; 最小化; 网络配置; 网络重构; 进化算法
• ISSN: 2095-1701; 2095-1698
• DOI: 10.1007/s11708-014-0313-y

One of the very important ways to save electrical energy in the distribution system is network reconfiguration for loss reduction. Distribution networks are built as interconnected mesh networks; however, they are arranged to be radial in operation. The distribution feeder reconfiguration is to find a radial operating structure that optimizes network performance while satisfying operating constraints. The change in network configuration is performed by opening sectionalizing (normally closed) and closing tie (normally opened) switches of the network. These switches are changed in such a way that the radial structure of networks is maintained, all of the loads are energized, power loss is reduced, power quality is enhanced, and system security is increased. Distribution feeder reconfiguration is a complex nonlinear combinatorial problem since the status of the switches is non-differentiable. This paper proposes a new evolutionary algorithm (EA) for solving the distribution feeder reconfiguration (DFR) problem for a 33-bus and a 16-bus sample network, which effectively ensures the loss minimization.