In this thesis, a top-down approach of solar PV planning and optimization methodology is developed to enable high-performance at minimum costs. The first problem evaluates renewable resources and prioritizes their importance towards sustainable power generation. In the second problem, possible sites for solar PV potential are examined.
A new methodology for an optimum design of ground-mounted PV power plants. The 3V × 8 configuration is the best option in relation to the total energy captured. The proposed solution increases the energy a 32% in relation to the current one. The 3V × 8 configuration is the cheapest one.
Tools Used 1. HOMER software was applied for optimal sizing of RES plants and to study the technical and economic performance of the system under different configurations. 2. Matlab R2017b was used to program the optimization algorithm for the solar PV orientation system in Chapter 5.
The optimization process is considered to maximize the amount of energy absorbed by the photovoltaic plant using a packing algorithm (in Mathematica™ software). This packing algorithm calculates the shading between photovoltaic modules. This methodology can be applied to any photovoltaic plant.
1. HOMER software was applied for optimal sizing of RES plants and to study the technical and economic performance of the system under different configurations. 2. Matlab R2017b was used to program the optimization algorithm for the solar PV orientation system in Chapter 5. 3.
Following the site data collection, the investigation of hybrid solar PV, wind, diesel generator, and battery systems was carried out to determine the optimal sizing of the system components based on some technical and economic criteria, such as system reliability, net present cost (NPC) and cost of energy (COE).