Examinando por Autor "El-Sattar, Hoda Abd"
Mostrando 1 - 2 de 2
- Resultados por página
- Opciones de ordenación
Ítem An Improved Arithmetic Optimization Algorithm for design of a microgrid with energy storage system: Case study of El Kharga Oasis, Egypt(Elsevier, 2022-07) Kharrich, Mohammed; Abualigah, Laith; Kamel, Salah; El-Sattar, Hoda Abd; Tostado-Véliz, MarcosThe microgrid design problem needs efficacy tools to reach good results with optimal convergence characteristics. Stochastic metaheuristic algorithms are the best choice to address complex problems. This paper proposes new hybrid renewable energy systems (HRES) design, composed of PV, wind turbine, diesel generator, and battery system. The objective function is minimizing the total net present cost, which includes all expenses during the project lifetime; the optimization respects other aspects, technical and ecologic. The improved algorithm is called IAOA that developed by modifying the original Arithmetic Optimization Algorithm (AOA) using the leading operators of the Aquila Optimizer (AO). The modified version is conducted to improve the search ability of the original AOA and avoid its weaknesses like being trapped in a local search. Moreover, the proposed IAOA makes a learning stage from the search process of the AO to enhance the research history of the AOA. Two HRES scenarios are suggested, the first is based on using PV/wind/diesel/battery, while the second scenario consists of PV/diesel/battery. This proposed HRES is located in El Kharga Oasis in Egypt with latitude of 25.42 and longitude of 30.581. The obtained results prove that the proposed IAOA gives better results compared with the other well-known algorithms, namely the original algorithm of AOA, Equilibrium Optimizer (EO), Gray Wolf Optimization (GWO), Artificial Electric Field Algorithm (AEFA), and Harris Hawks Optimization (HHO). It is recognized that the proposed IAOA is a promising alternative to solve hybrid renewable energy systems.Ítem Performance Analysis of a Stand-Alone PV/WT/Biomass/Bat System in Alrashda Village in Egypt(MDPI, 2021-10) El-Sattar, Hoda Abd; Kamel, Salah; Sultan, Hamdy; Tostado-Véliz, Marcos; ElTamaly, Ali M.; Jurado-Melguizo, FranciscoThis paper presents an analysis and optimization of an isolated hybrid renewable power system to operate in the Alrashda village in the Dakhla Oasis, which is situated in the New Valley Governorate in Egypt. The proposed hybrid system is designed to integrate a biomass system with a photovoltaic (PV), wind turbine (WT) and battery storage system (Bat). Four different cases are proposed and compared for analyzing and optimizing. The first case is a configuration of PV and WT with a biomass system and battery bank. The second case is the integration of PV with a biomass system and battery bank. The third case is WT integrated with biomass and a battery bank, and the fourth case is a conventional PV, WT, and battery bank as the main storage unit. The optimization is designed to reduce component oversizing and ensure the dependable control of power supplies with the objective function of reducing the levelized cost of energy and loss of power supply probability. Four optimization algorithms, namely Heap-based optimizer (HBO), Franklin’s and Coulomb’s algorithm (CFA), the Sooty Tern Optimization Algorithm (STOA), and Grey Wolf Optimizer (GWO) are utilized and compared with each other to ensure that all load demand is met at the lowest energy cost (COE) for the proposed hybrid system. The obtained results revealed that the HBO has achieved the best optimal solution for the suggested hybrid system for case one and two, with the minimum COE 0.121171 and 0.1311804 $/kWh, respectively, and with net present cost (NPC) of $3,559,143 and $3,853,160, respectively. Conversely, STOA has achieved the best optimal solution for case three and four, with a COE of 0.105673 and 0.332497 $/kWh, and an NPC of $3,103,938 and $9,766,441, respectively.