Optimum allocation and sizing of distributed generations based on clonal selection algorithm for loss reduction and technical benefit of energy savings

Abstract

Distributed generation (DG) is an emerging concept in the electricity sector, which represents good alternatives for electricity supply instead of the traditional centralized power generation concept. Distributed generation (DG) has been utilized in some electric power networks. Power loss reduction, environmental friendliness, voltage improvement, postponement of system upgrading, and increasing reliability are some advantages of DG-unit application. This paper investigates the problem of multiple distributed generators (DG units) placement to achieve a loss reduction in radial distribution networks. This technical benefit of energy savings due to the reduction in active power loss can also be translated into economic benefits. Clonal selection algorithm (CSA) is proposed to determine the optimal DG-unit's size and location is determined by loss sensitivity index (LSI) in order to maximize the net saving. Simulation studies are conducted on IEEE 33-bus and 69-bus radial test systems to verify the effectiveness of the proposed method. The efficacy of the proposed CSA is compared with existing ABC algorithm.