We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
DISTRIBUTION NETWORK RECONFIGURATION USING GA & BPSO.
- Authors
PRASAD, P. V.; BALASUBBA REDDY, M.
- Abstract
As increase in the high demand utilization of electrical energy over few decades the power loss issue is persevered. In order to minimize the power losses, various methods are followed in distribution system such as capacitor placement, distribution generator placement and proper conductor selection methods. In all these methods, lot of money is to be invested to decrease the losses. The network reconfiguration method is one, where investment for loss reduction is minimum. By changing the position of sectionalizing and the tie switches the distribution system reconfiguration is done to minimize the power losses. In this paper, Genetic Algorithm (GA) and Binary Particle Swarm Optimization (BPSO) techniques are used for distribution system reconfiguration. The performance of the two algorithms is tested with two different test systems i.e. 33 and 69 node radial distribution systems. The outcomes illustrate that after reconfiguration the power loss is minimized and voltage profile is improved. Finally the results of the two algorithms are compared and found that BPSO has given better results compared to Genetic Algorithm.
- Subjects
PARTICLE swarm optimization; ELECTRICAL energy; GENETIC algorithms; TEST systems
- Publication
I-Manager's Journal on Power Systems Engineering, 2018, Vol 6, Issue 4, p37
- ISSN
2321-7499
- Publication type
Article