Multi-objective Optimal Planning of Virtual Synchronous Generators in Microgrids with Integrated Renewable Energy Sources

Appropriate renewable distributed generation (RDG) placement is one of the most significant issues for efficient operation current power systems. Since inverter-interfaced RDG lacks rotating mass to sustain system’s inertia, microgrids have low total system which impairs frequency stability and can yield voltage instability in severe disruptions. The virtual synchronous generator (VSG), uses concepts that regulate inverter simulate a conventional generator, promising solutions address these challenges. Hence, this research proposes unique technique simultaneous optimal solution VSG sizing distribution networks using recent metaheuristic called Multi-objective Salp Swarm Optimization Algorithm (MOSSA). objective function was minimize deviation maximize annual energy savings operational costs units. Moreover, study assesses IEEE 33-bus, 69-bus network, practical Masirah Island network as test Furthermore, proposed method’s Pareto fronts are superior two metaheuristics employed domain: Particle (MOPSO) Non-dominated Sorting Genetic Algorithm-II (NSGA-II). According findings, MOSSA candidates (PSC) three systems satisfied constraints cost objectives. In addition, all PSCs accurately prevented limit infringements, overall losses active during each optimization period were significantly reduced.