in this paper, we have proposed a new algorithm which combines pso and ga in such a way that the new algorithm is more effective and efficient.the particle swarm optimization (pso) algorithm has shown rapid convergence during the initial stages of a global search but around global optimum, the search process will become very slow. on the other hand, genetic algorithm is very sensitive to the in...

This paper presents an efficient algorithm for network reconfiguration associated with DG allocation to minimize real power losses in radial distribution networks. A modified Binary Particle Swarm Optimization algorithm, called Selective Particle Swarm Optimization algorithm (SPSO), is used to solve network reconfiguration problem. Allocation of DG units has been done by sensitivity analysis. A...

A Recursive Switched-Capacitor (RSC) topology is introduced that enables reconfiguration among conversion ratios while achieving minimal capacitive charge-sharing loss for a given silicon area. All ratios are realized by strategically interconnecting 2:1 SC cells either in series, in parallel, or in a stacked configuration such that the number of input and ground connections are maximized in or...

Nowadays the research on the integration of DG's and Capacitor banks in radial distribution system is going on, to meet the increased electricity demand and to improve the technical aspects like power loss reduction, voltage profile improvement etc. , where the major concerns are finding the optimal sizing of DG's and Capacitor banks and their locations. This paper presents applicatio...

This paper undertakes the problem of optimal shunt capacitor placement for loss reduction in a radial distribution feeder. The objective is to determine the optimum size and location of the capacitors to be placed on a radial distribution system. The objective function is to have maximization of saving due to reduction of energy losses thereby taking into consideration cost of capacitor. The so...