Energy management carried in a power system by configuration process is difficult activity. So, reconfiguration has been introduced to solve this problem. Numerous optimization topologies have utilized problem so far. However, they exhibit some drawbacks such as convergence, etc. Hence overcome issue, work formulated new hybrid topology Genetic Algorithm Enabled Particle Swarm Optimization (PSO...

Power distribution systems typically have tie and sectionalizing switches whose states determine the topological configuration of the network. The system configuration affects the efficiency with which the power supplied by the substation is transferred to the load. Power companies are interested in finding the most efficient configuration, the one which minimizes the real power loss of their t...

Network reconfiguration is a combinatorial optimization problem because it accounts various operational constraints in distribution systems. Plant Growth Simulation Algorithm has emerged as a useful optimization tool for handling nonlinear programming problems. In this paper, Plant Growth Simulation Algorithm has been proposed with a view to enhance speed and robustness. This method has been ap...

Complex power loss minimization is an important aspect of modern distribution systems. Complex power loss minimization leads to capacity reduction with improved voltage profile besides active power loss minimization under certain justified assumptions. This paper presents a simple, efficient and direct method for minimum complex power loss radial feeder reconfiguration in response to changing o...

Ant Colony Optimization (ACO) is a meta-heuristic iterative algorithm used to solve different combinatorial optimization problems. In this method, a number of artificial ants build solutions for an optimization problem and exchange information on their quality through a communication scheme that is similar to the one adopted by real ants. In this paper, Ant Colony Optimization is used to solve ...

Distribution network reconfiguration is an important aspect of automation and optimization of distribution network system. To handle massive binary code infeasible solutions in distribution network reconfiguration, a kind of sequence code is presented in which a loop is a gene and the label of each switch in the loop is the gene value. To solve mutation probability and slow the convergence of c...

Network reconfiguration is an alternative to reduce power losses and optimize the operation of power distribution systems. In this paper, an encoding scheme for evolutionary algorithms is proposed in order to search efficiently for the Pareto-optimal solutions during the reconfiguration of power distribution systems considering multiobjective optimization. The encoding scheme is based on the ed...