Optimal Design and Performance analysis of Hybrid Renewable Energy System for Ensuring Uninterrupted Power Supply During Load Shedding

• Published in: IEEE access Vol. 12; p. 1
• Main Authors: Bakht, Muhammad Paend, Mohd, Mohd Norzali Haji, Shaikh, Usman Ullah, Khan, Nuzhat
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Batteries; Configurations; Costs; Diesel generators; Electrical loads; Electricity pricing; Emissions; Energy storage; feed in tariff; Generators; Hybrid systems; Impact analysis; Load shedding; multi criteria; Optimization; Optimization algorithms; Particle swarm optimization; Payback periods; photovoltaic; Photovoltaic cells; power outage; Power supply; renewable; Renewable energy; Renewable energy sources; Renewable resources; Residential communities; Sensitivity analysis; Storage units; Sustainable development; Uninterruptible power supplies; Uninterruptible power systems; wind turbine; Wind turbines
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2024.3349594

Given the significant impact of the UN 2015 agenda on sustainable development, the search for eco-friendly and efficient energy solutions has intensified. The renewable based hybrid systems have emerged as feasible solution in this regard. This paper investigates the prospect of utilizing hybrid energy system (HES) from a different perspective, i.e., to mitigate the effect of load shedding at the distribution level. The HES configuration in this study includes photovoltaic (PV) array, wind turbine (WT), battery storage unit (BSU) and diesel generator. The optimization of HES has been performed based on levelized electricity cost (LEC), payback period (PBP) and loss of power supply probability (LPSP). The Grasshopper optimization algorithm (GOA) is employed to determine the optimum number of PV modules, WT, and BSU using load-following power dispatch strategy and the results are verified with particle swarm optimization algorithm (PSO). The performance of the optimized HES is tested in a small residential community in Quetta, Pakistan, which frequently experiences load shedding. The results of optimized HES ensuring supply availability provide minimum LEC and PBP as 6.64 cents/kWh and 7.4 years, respectively. These results are compared with conventional solutions such as standalone diesel generators, battery-based uninterruptible power supplies (UPS), and hybrid systems combining generators and UPS. The findings show that HES significantly outperforms conventional solutions. Finally, the research presents sensitivity analysis, examining the impact of varying component prices, feed-in tariff rates, meteorological conditions, and load demand variations on the LEC and PBP of the HES.