Iranian Society of Heating, Refrigerating, and Air Conditioning Engineers (IRSHRAE) Journal of Renewable and New Energy 2423-4931 12 1 2025 03 21 Optimum design of wind turbine, photovoltaic panel, diesel generator hybrid system and its integration with the distribution network Optimum design of wind turbine, photovoltaic panel, diesel generator hybrid system and its integration with the distribution network 17 26 196363 10.22034/jrenew.2025.196363 FA Rahim Zahedi Department of New Energies and Environment, Faculty of New Technologies. University of Tehran, Tehran, Iran 0000-0001-6837-8729 Siavash Gitifar Faculty of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran Abolfazl Ahmadi Department of Energy Systems Engineering, Faculty of New Technologies. Iran University of Science and Technology, Tehran, Iran 0000-0003-2652-6011 Journal Article 2022 09 16 The inability of conventional energy sources to fully meet the ever-increasing energy demand in today's world points to the ever-increasing importance of hybrid power generation systems. Today, the hybrid systems of electricity production, in which part or all of its sources are renewable energy sources, have attracted the attention of many researchers, scientists, and investors. This research proposes an independent multi-source hybrid generation system with optimal design, including photovoltaic panels, wind turbine generators, batteries, and diesel generators. This research aims to minimize the emission of carbon dioxide and the cost, which is expressed in the form of the net present value of the system. The designed hybrid power generation system is further integrated into the distribution system as a distributed generation. This is to optimally improve the distribution system's performance by minimizing the entire distribution system's total losses and voltage deviation. The combined cost and emissions of energy purchased from the grid and energy produced by distributed generation are also reduced. For this purpose, a multi-objective particle swarm optimization algorithm has been developed. The proposed optimization algorithms are implemented using software for an IEEE standard 33-bus distribution system. The location and size of scattered productions and the type and number of each generating source of the hybrid system are considered decision variables. The inability of conventional energy sources to fully meet the ever-increasing energy demand in today's world points to the ever-increasing importance of hybrid power generation systems. Today, the hybrid systems of electricity production, in which part or all of its sources are renewable energy sources, have attracted the attention of many researchers, scientists, and investors. This research proposes an independent multi-source hybrid generation system with optimal design, including photovoltaic panels, wind turbine generators, batteries, and diesel generators. This research aims to minimize the emission of carbon dioxide and the cost, which is expressed in the form of the net present value of the system. The designed hybrid power generation system is further integrated into the distribution system as a distributed generation. This is to optimally improve the distribution system's performance by minimizing the entire distribution system's total losses and voltage deviation. The combined cost and emissions of energy purchased from the grid and energy produced by distributed generation are also reduced. For this purpose, a multi-objective particle swarm optimization algorithm has been developed. The proposed optimization algorithms are implemented using software for an IEEE standard 33-bus distribution system. The location and size of scattered productions and the type and number of each generating source of the hybrid system are considered decision variables. https://www.jrenew.ir/article_196363_e01b51a79844739789c3b69f03c423a9.pdf