Optimal Allocation of Renewable Distributed Generators and Electric Vehicles in a Distribution System Using the Political Optimization Algorithm

This paper proposes an effective approach to solve renewable distributed generators (RDGs) and electric vehicle charging station (EVCS) allocation problems in the distribution system (DS) reduce power loss (PLoss) enhance voltage profile. The RDGs considered for this work are solar, wind fuel cell. uncertainties related modelled using probability functions (PDF). These sources’ best locations sizes identified by stability index (VSI) political optimization algorithm (POA). Furthermore, EV strategies such as conventional method (CCM) optimized (OCM) study method’s efficacy. developed is studied on Indian 28 bus DS. Different cases considered, a single DG, multiple DGs combination of EVs. placement along with EVs, considering proper scheduling patterns, minimizes PLoss considerably improves Finally, proposed compared other algorithms, simulated results show that POA produces better all aspects.