Thesis Type: Doctorate
Institution Of The Thesis: Yildiz Technical University, Graduate School Of Natural And Applied Sciences, Turkey
Approval Date: 2023
Thesis Language: Turkish
Student: UĞUR KILIÇ
Principal Supervisor (For Co-Supervisor Theses): Bedri Kekezoğlu
Co-Supervisor: Ali DurusuAbstract:
|Micro-grids based on rooftop photovoltaic energy systems are rapidly becoming widespread due to the fact that production takes place at the point of consumption. By moving the supply to the demand point, energy transmission costs are reduced in these systems, the demand is met with renewable resources, the damage to the environment is minimized, the supply security is ensured for the societies, and the energy dependency is reduced in countries dependent on conventional energy. For this reason, the orientation to these systems has accelerated. In addition to the advantages of rooftop systems, there are also constraints that prevent their spread. The first of these constraints is the inadequacy of the roof areas that can be installed. For this reason, it is necessary to use these limited areas in an optimal way. Of course, when optimizing the space, economic parameters, a focus on renewables and the right fulfillment of demand must be taken into account. In this study, a solution proposal has been developed for this sizing problem. In this context, microgrids were created with 1-year real consumption values taken from 5 different consumption points. The energy demands of this microgrid were met by using a rooftop PV system and hydro-based storage unit. And cost optimization was carried out by performing a lifetime cost analysis on this system. It has been ensured that the demand is met entirely from renewable resources with minimum cost. Particle Swarm Optimization technique was used as the optimization method. Optimization was carried out in Matlab Environment. The optimization results obtained in this context were examined in different case studies and the results were obtained. In the proposed system, installation investments were made through energy cooperatives. Thus, by reducing the burden of the initial investment cost on the investor, a collective, fully renewable, micro-grid model with minimum exchange with the grid was presented and cost minimization was realized. Optimal sizing to meet the demand is presented as a result.