Optimal DG allocation based on a Simple payback period by Covid-19 Algorithm and a Modified Mutation Operator for Grey Wolf Optimization

Recently, no one can deny the importance of distributed generation (DG). The tendency toward using DG in electrical generation networks is increasing rapidly. In addition to the positive aspects, the ecological, economic, and technical advantages of connecting DG units to distribution networks, the location and the size of the DG unit are important factors for these advantages. For this purpose, a novel method of optimal apportionment and sizing when introducing DG is presented, based on the curtailment of the SPP (simple payback period). This can be achieved through the use of the IEEE 33 bus system and optimization techniques such as Grey Wolves, Grey Wolves with Cauchy equation, and Coronavirus techniques that help determine the location and size of generators in the distribution network. In this paper, we aim to present a thorough study on the impact of the DG units, when connected to distribution networks, based on the economical viewpoint using MATLAB software.