Techno-Economic Feasibility Analysis of Hybrid Renewable Energy System By Using Particle Optimization Technique for the Rural Border Areas in Iraq : Case Study
Year: 2024
Type: article
Abstract: A truly need and biggest challenge that the border rural areas are suffering is difficult chance to connect to electricity grid due to nature of area and distance among population centers. A case study in this paper, Al-Teeb Area is located in the southeastern of Iraqi-Iranian border. To overcome on this dilemma, a best substitute is Hybrid Energy System (HES). The Techno-Economic Feasibility analysis of grid-tied by photovoltaic(PV) -battery(BT) - wind turbine(WT) - diesel generator (DG) in that region are focus in this research.. This study made use of the MATLAB-based three different types of Particle Swarm Optimization algorithms(PSO),namely,(Modified PSO, Canonical-PSO and Hierarchical PSO with Time-varying Acceleration Coefficients (HPSO-TVAC)When designing a HES, it is important to strike a balance between the three goals of Cost Of Energy (COE), Reliability (REL), and maximizing the value of Renewable Energy Penetration (REP). Based on the results from the first type of PSO algorithm were found to be the most suitable for implementing this system were as follows, the ideal values for Number of Photovoltaic (NPV) (1235), Number of Wind Turbines (NWT) (58), Number of Diesel Generators (NDG) (12), Number of Batteries (NBT) (3112), Number of Converters (NCon)(46), COE (0.117 US$/KWh), loss power supply probability (LPSP) (0.2065%), REL (79.35%), REP (18%) and TNPC (9.36 MUS$). In addition, the results show that the algorithm efficiently and effectively found ideal solutions to lower total costs. Finally, it was determined that HES was a suitable way to fulfill the electrical demands of rural, outlying areas in Iraq and other developing countries with comparable temperatures.
Authors: Husam Salim, Jabbar Rashed
Institution: University of Misan
Language: English
Subfield: Energy Engineering and Power Technology
Field: Energy
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W6940568796