Energy management analysis and applications in power systems

The need for electricity is increasing day by day as a result of the development of technology and increasing consumer demand. With this increase, the need for production resources is growing. As a result of the limited underground resources, the damage of fossil resources to the environment, the increase in the cost of energy fuel and the difficulties in transportation, the use of these resources should be reduced and the gap created here should be filled with renewable energy resources. For this reason, it is very important to use both fossil resources and renewable energy resources together and efficiently. In this thesis, an optimal hybrid model was evaluated by examining the technical, economic and environmental feasibility of a high renewable energy source hybrid power system for an island group close to the land. In the light of the location information of the island region, the solar radiation and wind speed data in the region were analyzed and as a result of these analyzes, it was seen that the wind turbines came to the fore even more in system sizing. HOMER PRO software, which was developed in the American National Renewable Energy Laboratory and proved its reliability, was used in modeling the hybrid power system in the region. It has been observed that the optimization results, especially the load profile, the initial costs of renewable energy power plants, and the scope of incentive packages determine the size of high renewable energy solutions. It has been determined that the penetrations of optimal renewable energy systems vary between 75-300% depending on the grid power constraints of 0%-20%-40% in the scenarios with different penetrations created. The optimal distribution estimations of these determined optimal scenarios to the islands were made using the Particle Swarm Optimization (PSO) Algorithm – Pandapower Power Flow Analyzer method. As a result of the obtained rates, renewable energy distributions were made to each island under different scenarios. The analyzes of optimal renewable energy generation, network buying/selling status and hourly cost changes of each island were performed with Gurobi optimization solver. Finally, the diesel generator and three different energy storage systems were included in the determined scenarios, technical, economic and environmental analyzes were made and the results were compared. The results show that, depending on the load profile, grid power constraints and incentive packages, the energy needs of the island or island groups with grid infrastructure can produce viable solutions that are compatible with technical, economic and environmental targets with high renewable energy system energy production.