MFO Algorithm-Based Profit Maximization of Distribution Companies by Optimal Placement and Sizing of DGs Under Deregulated Environment

Distributed generations (DGs) have persuaded researchers for more than ten years that they are the most cost-effective and environmentally friendly alternative that can be combined with centralized generations. The right location and size are necessary for distributed generation planning to achieve the best possible technical, economic, commercial, and regulatory outcomes. Most of these goals are incompatible, hence multi-objective solutions are needed. Only a few articles have examined this issue from the standpoint of the DG owners among the several studies that have been suggested to address the DG placement problem, and none of them have taken into account the crucial role that the gearbox expenses allotted to DGs play. As a result, the multi-objective optimization voltage stability problem in a deregulated environment is solved in this work. By placing and sizing the distributed generation (DG) units in the radial distributed system (RDS) optimally, the problem’s main goal is to increase the profit of distribution companies (DISCOs). To get the best results, a straightforward and parameter light moth-flame optimization (MFO) approach is obtainable. Additionally, improvements to voltage stability and a decrease in reactive and actual power loss ensure been made. The cost of operating and maintaining a single DG unit, as well as the best location for installation, are calculated. The IEEE 33-bus test system now uses the recommended method. Simulation is used to evaluate how well the strategy performs, and the results are contrasted with those of alternative approaches already in use. The comparison shows that the suggested strategy boosts DISCO’s revenue in a radial distribution system.