Optimal allocation of solar photovoltaic distributed generation in electrical distribution networks using Archimedes optimization algorithm

Abstract This paper proposes to resolve optimal solar photovoltaic (SPV) system locations and sizes in electrical distribution networks using a novel Archimedes optimization algorithm (AOA) inspired by physical principles order minimize network dependence greenhouse gas (GHG) emissions the greatest extent possible. Loss sensitivity factors are used predefine search space for sites, AOA is identify of SPV systems reducing grid GHG from conventional power plants. Experiments with composite agriculture loads on practical Indian 22-bus agricultural feeder, 28-bus rural feeder an IEEE 85-bus demonstrated critical nature optimally distributed minimizing reliance energy sources. Additionally, voltage profile has been enhanced, resulting significant reductions losses. The results were compared those several other nature-inspired heuristic algorithms previously published literature, it was observed that outperformed them terms convergence redundancy when solving complex, non-linear multivariable problems. Optimal derived pollutant