Developing a Hybrid Approach Based on Analytical and Metaheuristic Optimization Algorithms for the Optimization of Renewable DG Allocation Considering Various Types of Loads

The optimal location of renewable distributed generations (DGs) into a radial distribution system (RDS) has attracted major concerns from power researchers in the present years. main target DG integration is to improve overall performance by minimizing losses and improving voltage profile. Hence, this paper proposed hybrid approach between an analytical metaheuristic optimization technique for allocation RDS, considering different types load. A simple was developed order determine sizes multiple DGs, new efficient known as Salp Swarm Algorithm (SSA) suggested choose best buses system, proportionate determined technique, obtain minimum To verify on incorporation DGs it applied static loads; constant (CP), impedance (CZ), current (CI). algorithm validated using two standards RDSs—IEEE 33-bus IEEE 69-bus systems—and compared with other techniques.