Cost Modelling, Sizing and Multi-Point Allocation of Solar Powered DG Using Multi-Objective Cuckoo Search Via Lévy Flights Considering Economic, Technical and Environmental Impacts Along with Voltage Stability

A nature inspired, meta-heuristic algorithm, Cuckoo Search using Lévy Flights, is applied on a multiobjective, constrained problem to find the optimal allocation of a single and two distributed generators (DG), taking into consideration of security limits. During sizing and optimal allocation of the DG/DGs, technical, social and economic conditions have been taken into account. The multi-objective function is based on indices namely, voltage profile enhancement index (VPEI), emission cost benefit index (ECBI) and benefit cost ratio (BCR), so as to analyze the effect of the DG/DGs on IEEE IEEE 33 and IEEE 69 bus systems. This manuscript presents a comparative study of single DG and twin DG allocation of same capacity in total as well as the performance of the proposed algorithm in calculating the optimal size of DG considering the technical, social and economic impacts.