Optimal Planning of Multitype DGs and D-STATCOMs in Power Distribution Network Using an Efficient Parameter Free Metaheuristic Algorithm

In a quest to solve the multi-objective optimal planning problem using simple parameter-free metaheuristic algorithm, this paper establishes recently proposed student psychology-based optimization (SPBO) algorithm as most promising one, comparing it with other two popular nonparametric algorithms, i.e., symbiotic organisms search (SOS) and Harris hawk (HHO). A novel framework (with suitable weights) is real power loss minimization index, bus voltage variation system stability maximization annual cost index cover various technical, economic, environmental aspects. The performances of these three algorithms are compared extensively for simultaneous allocation multitype distributed generations (DGs) D-STACOM in 33-bus 118-bus test systems considering eight different cases. detailed analysis also includes statistical results obtained applied distribution systems.