Optimal Sizing and Placement of Renewable DGs using GOA Considering Seasonal Variation of Load and DGs

Multi Dimension-Based Optimal Allocation of Uncertain Renewable Distributed Generation Outputs with Seasonal Source-Load Power Uncertainties in Electrical Distribution Network Using Marine Predator Algorithm

“…Among them are: applying the particle swarm optimization (PSO) algorithm to minimize power loss and enhance the voltage profiles considering a new voltage stability index [7]; an improved PSO algorithm for maximizing the RDG allocation project's net profit [8]; a coefficient PSO for minimizing the total losses of energy [9]; applying the algorithm of hybrid tabu search PSO for minimizing the cost [10]; the adaptive genetic algorithm to mitigate the network loss of power and to maximize the bus voltage deviation [11]; the phasor PSO algorithm to reduce yearly economic loss in the practical distribution system in Portuguese [12]; and the embedded genetic algorithm to minimize the prices of electricity [13]. Others include the algorithm of adaptive differential evolution for minimizing voltage deviation and the active losses [14]; the water cycle algorithm for reducing the multi-objective function based on techno-economic parameters [15]; applying the algorithm of heuristic moment matching for maximizing the objective of present net value [16]; the imperialist competitive algorithm to minimize active power loss and ameliorate voltage stability [17]; applying the algorithm of lightning attachment procedure optimization for reduction of power losses [18]; the algorithm of decentralized energy market trading to maximize the surplus of RDG [19]; the grasshopper optimization algorithm to improve reliability, voltage profiles, and economic interests [20]; the algorithm of big bang-big crunch for minimizing different parameters [21]; the strength pareto evolutionary algorithm 2 to reduce the active losses, operation annual costs, and emissions of pollutant gas [22]; and applied teaching learning based optimization for the aim of reducing the losses in power and voltage deviation index [23].…”