title: PSO-Based Smart Grid Application for Sizing and Optimization of Hybrid Renewable Energy Systems.
abstract: This paper introduces an optimal sizing algorithm for a hybrid renewable energy system using smart grid load management application based on the available generation. This algorithm aims to maximize the system energy production and meet the load demand with minimum cost and highest reliability. This system is formed by photovoltaic array, wind turbines, storage batteries, and diesel generator as a backup source of energy. Demand profile shaping as one of the smart grid applications is introduced in this paper using load shifting-based load priority. Particle swarm optimization is used in this algorithm to determine the optimum size of the system components. The results obtained from this algorithm are compared with those from the iterative optimization technique to assess the adequacy of the proposed algorithm. The study in this paper is performed in some of the remote areas in Saudi Arabia and can be expanded to any similar regions around the world. Numerous valuable results are extracted from this study that could help researchers and decision makers.
authors: Electrical Engineering Dept., King Saud University, Riyadh 11421, Saudi Arabia.|Electrical Engineering Dept., Minia University, Minia 61519, Egypt.
authors: Mohamed A
authors: MA
authors: Mohamed
authors: Sustainable Energy Technologies Center, King Saud University, Riyadh 11421, Saudi Arabia.|Electrical Engineering Dept., Mansoura University, Mansoura 35516, Egypt.
authors: Ali M
authors: AM
authors: Eltamaly
authors: Electrical Engineering Dept., King Saud University, Riyadh 11421, Saudi Arabia.
authors: Abdulrahman I
authors: AI
authors: Alolah
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003246:Conservation of Energy Resources; D011211:Electric Power Supplies / Q000592:standards*; D008962:Models, Theoretical; D059205:Renewable Energy / Q000592:standards*; D015203:Reproducibility of Results; D012529:Saudi Arabia