Optimal Microgrid Structure with Renewable Distributed Generators and Electric Vehicles Utilizing Hybrid Fuzzy-Puzzle Optimization Algorithm

The aim of this study is to give an effective way to solve allocation problems for electric vehicle charging stations (EVCS) and distributed generators of renewable energy that occur in the distribution system (DS). Reducing power loss, optimizing voltage profile, and lowering overall operating costs are the objectives. For this endeavor, renewable energy sources such as photovoltaic and wind are being investigated. The process of modeling the uncertainties related to RDGs is achieved by applying probability distribution functions (PDF). These sources' ideal locations and sizes are ascertained by applying the sensitivity factors and Fuzzy-Puzzle Optimization Algorithm (FPO). The investigation of the method's effectiveness takes into account the electric vehicle's regular charging method. On the IEEE 33 bus RDS modeled as MG, the developed approach is being studied. Several situations are considered: one with one DG, several with one DG, and one with EVs and one with multiple DGs. When several distributed generators are arranged alongside electric vehicles and proper scheduling is followed, power loss, operational costs, and voltage profile are all greatly reduced. Finally, the suggested method is compared to earlier algorithms, and the simulation results show that the FPO approach produces better results in all significant aspects.