Optimal Planning of Renewable based DGs for Achieving Techno-Economic Objectives across various Load Models /

Abstract

Distributed generation (DG), from the last few decades, has become the viable option in distribution systems (DSs) to mitigate the power losses caused by substantial increase in electricity demand and to improve the voltage profile by enhancing power system reliability. In this study, two metaheuristic algorithms GTO and TDO are presented to examine the utilization of DGs as well as the optimal sitting and sizing in DS with special emphasis on maximizing voltage stability index, minimizing total operating cost index and active power loss along with minimization of voltage deviation. The robustness of the algorithms is examined on IEEE 33 bus and IEEE 69 bus radial distribution networks (RDNs) for PV and wind based DGs. The obtained results are compared with the existing literature to validate the effectiveness of the algorithms. The reduction of the active power loss is 93.15% and 96.87% of initial value for 33 bus and for 69 bus RDN respectively while the other parameters i.e., operating cost index, voltage deviation and voltage stability index are also improved that validate the efficiency of the algorithms. The proposed study is also carried out by considering different voltage dependent load models like industrial, residential and commercial.