Optimal Allocation of PV-STATCOM Devices in Distribution Systems for Energy Losses Minimization and Voltage Profile Improvement via Hunter-Prey-Based Algorithm

Incorporating photovoltaic (PV) inverters in power distribution systems via static synchronous compensators (PV-STATCOM) during the nighttime has lately been described as a solution to improve network performance. Hunter prey optimization (HPO) is introduced this study for efficient PV-STATCOM device allocation systems. HPO generates numerous scenarios how animals could act when hunting, some of which have expanded into stochastic optimization. The issue networks structured simultaneously minimize electrical energy losses and voltage profile while accounting variable 24 h loadings. impacts varying number installed devices are investigated It tested on two IEEE 33-node 69-node networks. effectiveness proposed demonstrated comparison differential evolution (DE) algorithm, particle swarm (PSO), artificial rabbits algorithm (ARA), golden search optimizer (GSO). simulation results demonstrate efficiency adequately allocating For network, considerably decreased by 57.77%, voltages variance sum significantly reduced 42.84%. 57.89%, variations 44.69%. Additionally, suggested highly consistent than DE, PSO, ARA, GSO. Furthermore, throughout day, at all nodes surpasses minimum requirement 95%.