Enriched Technique for DG Placement and Sizing by GA Optimization

Aseem Chandel

Abstract

The demand of proficient and high quality power is rising in the world of electricity. Power utilities are facing major challenges as the demand of power system is growing exponentially. To meet this demand, the present need is to provide the consumer demand locally by Distributed Generation (DG). However, a large number of DG units in a distribution system may occasionally provide to high levels of harmonic distortion even though the emission level of the individual DG units comply with the harmonic standards. Hence there arises a need for finding an optimised method for locating the DG with the optimised size as well as to reduce harmonic distortion. In this paper a novel genetic algorithm (GA) based optimization for placing and sizing the DG is proposed. The proposed technique adopts five objectives for finding the optimal location as well as the size of DG unit. The total power loss, total cost, total emission, total voltage profile and total harmonic distortion are the five different objective functions we are considering in this paper. The appropriate location of DG unit is found based on the total power loss, total cost, total emission and voltage profile. Then suitable size is determined based on the harmonic distortion. The proposed technique is implanted in MATLAB/Simulink platform and tested in IEEE 18 bus distorted distribution system and the performance is verified by comparing with the conventional differential evolution (DE) optimization algorithm.

Enriched Technique for DG Placement and Sizing by GA Optimization

Abstract

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