Optimal location and sizing of distributed generation using Krill Herd Algorithm
A. Marimuthu, K.L.N College of Engineering; Dr.K.Gnanambal ,; J. Kokila ,
Distributed generation (DG), Radial Distribution Network (RDN), Krill Herd Algorithm (KHA), Loss reduction
Distributed generator (DG) is recognized as a viable solution for controlling line losses and represents a new era for distribution systems. This paper focuses on developing an approach for placement of DG in order to minimize the active power loss and reactive power loss of distribution line of a given power system. The optimization is carried out on the basis of optimal location and optimal size of DG. This paper developed a new, efficient and novel krill herd algorithm (KHA) method for solving the optimal DG allocation problem of distribution networks. To test the feasibility and effectiveness, the proposed KH algorithm is tested on standard 33-bus radial distribution networks. The simulation results indicate that installing DG in the optimal location can significantly reduce the power loss of distributed power system. A detailed performance analysis is carried out on IEEE 33 Radial bus distribution system to express the effectiveness of the proposed method. Computational outcomes obtained showed that the proposed method is capable of generating optimal solutions.
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Paper ID: GRDCF002105
Published in: Conference : International Conference on Innovations in Engineering and Technology (ICIET - 2016)
Page(s): 333 - 339
Published in: Conference : International Conference on Innovations in Engineering and Technology (ICIET - 2016)
Page(s): 333 - 339