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[IEEE 2018 International Conference on Wind Energy and Applications in Algeria (ICWEAA) - Algiers, Algeria (2018.11.6-2018.11.7)] 2018 International Conference on Wind Energy and Applications in Algeria (ICWEAA) - Optimal Sizing Of Hybrid PV/Wind Based Water Pumping System Considering Reliability And Economic Aspects
摘要： In rural areas, provision of drinking water is one of the most important requirements of living conditions, and most of these isolated areas are not connected to the electricity grid. Conventional technology solutions provided by diesel generators are costly because of high maintenance and fuel supply costs and have drawbacks related to noise and especially greenhouse gas emissions. New technological solutions provided by solar and wind water pumping systems are experiencing high growth rates in recent years. Because of their high initial capital cost, many studies on their optimal sizing have been carried out. In this paper, an optimal sizing model based on Loss of Power Supply Probability (LPSP) and Particle Swarm Optimization (PSO) is proposed. The main goal is to deal with the optimal sizing problem of hybrid PV-Wind-based water pumping system taking into account the techno-economic aspects. The developed method uses the PSO algorithm to find the optimal configuration of the studied hybrid system insuring minimum cost and satisfying a desired loss of power supply probability. A computing code is developed and a flexible graphical interface is designed.
关键词： PSO Optimization,LPSP,Techno-economic analysis,PV-Wind based water pumping
更新于2025-09-23 15:22:29
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Potential, optimization and sensitivity analysis of photovoltaic-diesel-battery hybrid energy system for rural electrification in Algeria
摘要： Integration of hybrid renewable energy systems (HRES) as an electrification solution can enhance the rural electrification situation in Algeria's predominantly remote Saharan regions, where diesel generators are used to provide very basic and limited electricity service. The exploitation of such a solution requires a sustainable, optimized HRES design. This paper presents a methodology both to optimize and to perform a sensitivity analysis of an autonomous hybrid PV-diesel-battery energy system. Particle Swarm Optimization (PSO) and ε-constraint method were used to simultaneously minimize total system cost, unmet load, and CO2 emissions. One optimal solution was chosen among the solutions set and analyzed. The remote Saharan village of Tiberkatine, province of Tamanrasset in southern Algeria was considered as a case study. The hybrid system supplied the energy demand of 20 households. It was found that the optimal solution can supply energy without unmet load, the minimum cost of energy COE is 0.37 $/kWh with 93% renewable fraction. A sensitivity analysis was performed on the optimal system to study the impact of three parameters (load consumption, εCO2, and εLLP constraints) on the system behavior. Finally, a comparative analysis between PSO and HOMER was performed, it was found that the PSO based approach is more cost effective with more PV penetration than HOMER.
关键词： Photovoltaic,Diesel,PSO optimization,Rural electrification,Hybrid renewable energy system
更新于2025-09-04 15:30:14