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Optimal sizing of hybrid solar/wind/hydroelectric pumped storage energy system in Egypt based on different meta-heuristic techniques
by
Ahmed A. Zaki Diab
, Oleg N. Kuznetsov
, Hamdy M. Sultan
in
Algorithms
/ Aquatic Pollution
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Clean energy
/ Computer simulation
/ computer software
/ Earth and Environmental Science
/ Ecotoxicology
/ Egypt
/ energy
/ Energy conservation
/ Energy storage
/ Environment
/ Environmental Chemistry
/ Environmental Health
/ Environmental science
/ Heuristic methods
/ Heuristics
/ Hybrid systems
/ Hydrologic cycle
/ Meteorological data
/ Models, Theoretical
/ Optimization
/ Optimization algorithms
/ Optimization techniques
/ Photovoltaic cells
/ Photovoltaics
/ pollution
/ Pumped storage
/ Renewable energy
/ Renewable Energy and Water Sustainability
/ Reproducibility of Results
/ Sizing
/ Solar Energy
/ Sustainable development
/ swarms
/ system optimization
/ Turbines
/ Waste Water Technology
/ Water Management
/ Water Pollution Control
/ wind
/ Wind power
/ Wind turbines
2020
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Optimal sizing of hybrid solar/wind/hydroelectric pumped storage energy system in Egypt based on different meta-heuristic techniques
by
Ahmed A. Zaki Diab
, Oleg N. Kuznetsov
, Hamdy M. Sultan
in
Algorithms
/ Aquatic Pollution
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Clean energy
/ Computer simulation
/ computer software
/ Earth and Environmental Science
/ Ecotoxicology
/ Egypt
/ energy
/ Energy conservation
/ Energy storage
/ Environment
/ Environmental Chemistry
/ Environmental Health
/ Environmental science
/ Heuristic methods
/ Heuristics
/ Hybrid systems
/ Hydrologic cycle
/ Meteorological data
/ Models, Theoretical
/ Optimization
/ Optimization algorithms
/ Optimization techniques
/ Photovoltaic cells
/ Photovoltaics
/ pollution
/ Pumped storage
/ Renewable energy
/ Renewable Energy and Water Sustainability
/ Reproducibility of Results
/ Sizing
/ Solar Energy
/ Sustainable development
/ swarms
/ system optimization
/ Turbines
/ Waste Water Technology
/ Water Management
/ Water Pollution Control
/ wind
/ Wind power
/ Wind turbines
2020
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Optimal sizing of hybrid solar/wind/hydroelectric pumped storage energy system in Egypt based on different meta-heuristic techniques
by
Ahmed A. Zaki Diab
, Oleg N. Kuznetsov
, Hamdy M. Sultan
in
Algorithms
/ Aquatic Pollution
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Clean energy
/ Computer simulation
/ computer software
/ Earth and Environmental Science
/ Ecotoxicology
/ Egypt
/ energy
/ Energy conservation
/ Energy storage
/ Environment
/ Environmental Chemistry
/ Environmental Health
/ Environmental science
/ Heuristic methods
/ Heuristics
/ Hybrid systems
/ Hydrologic cycle
/ Meteorological data
/ Models, Theoretical
/ Optimization
/ Optimization algorithms
/ Optimization techniques
/ Photovoltaic cells
/ Photovoltaics
/ pollution
/ Pumped storage
/ Renewable energy
/ Renewable Energy and Water Sustainability
/ Reproducibility of Results
/ Sizing
/ Solar Energy
/ Sustainable development
/ swarms
/ system optimization
/ Turbines
/ Waste Water Technology
/ Water Management
/ Water Pollution Control
/ wind
/ Wind power
/ Wind turbines
2020
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Optimal sizing of hybrid solar/wind/hydroelectric pumped storage energy system in Egypt based on different meta-heuristic techniques
Journal Article
Optimal sizing of hybrid solar/wind/hydroelectric pumped storage energy system in Egypt based on different meta-heuristic techniques
2020
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Overview
Providing access to clean, reliable, and affordable energy by adopting hybrid power systems is important for countries looking to achieve their sustainable development goals. This paper presents an optimization method for sizing a hybrid system including photovoltaic (PV), wind turbines with a hydroelectric pumped storage system. In this paper, the implementation of different optimization techniques has been investigated to achieve optimal sizing of grid-connected hybrid renewable energy systems. A comprehensive study has been carried out between Whale Optimization Algorithm (WOA), Water Cycle Algorithm (WCA), Salp Swarm Algorithm (SSA), and Grey Wolf optimizer (GWO) to validate each one. Moreover, the optimal sizing of the system’s components has been studied using real-time information and meteorological data of Ataka region located in Egypt. The purpose of the optimization process is to minimize the cost of energy from this hybrid system while satisfying the operation constraints including high reliability of the hybrid power supply, small fluctuation in the energy injected to the grid, and high utilization of the photovoltaic and wind complementary properties. MATLAB software package has been used to evaluate each optimization algorithm for solving the considered optimization problem. Simulation results proved that WOA has the most promising performance over other techniques.
Publisher
Springer Science and Business Media LLC,Springer Berlin Heidelberg,Springer Nature B.V
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