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An increase in the penetration of renewable energy sources in the electrical production has been matched by the emergence of many and varied challenges and problems. Among the most important challenges is finding the smart technologies and algorithms which are capable of achieving efficient solutions. This chapter provides an expanded view of the uses of the particle swarm optimization (PSO) algorithm in the renewable energy systems field. Additionally, it describes how the algorithm can be developed to cope with problems related to renewable energies to achieve desired goals. The PSO algorithm was used to solve many problems in the renewable energy systems, such as in optimal hybrid power systems, optimal sizing, and optimal net present cost, among others, where the PSO algorithm showed its high adaptability in problem-solving. Further, many researchers proceeded with the study and development of the PSO algorithm. In contrast, other researchers tried to hybridize it with different algorithms to be more efficient and convenient to overcome some of the problems and challenges that they encountered. The renewable energy systems have several issues to discuss, such as the cost of investment, the feasible technical criteria, optimal control, and the ecological problems as well as the social effect. Overall, studies and research have proven that the PSO algorithm is one of the best algorithms used in the field of renewable energy. This is attributed to the algorithm’s simplicity, high efficiency, and effectiveness compared to other algorithms and optimization methods.
Omar Hazem Mohammed; Mohammed Kharrich. An Overview of the Performance of PSO Algorithm in Renewable Energy Systems. Handbook of Healthcare Logistics 2021, 307 -320.
AMA StyleOmar Hazem Mohammed, Mohammed Kharrich. An Overview of the Performance of PSO Algorithm in Renewable Energy Systems. Handbook of Healthcare Logistics. 2021; ():307-320.
Chicago/Turabian StyleOmar Hazem Mohammed; Mohammed Kharrich. 2021. "An Overview of the Performance of PSO Algorithm in Renewable Energy Systems." Handbook of Healthcare Logistics , no. : 307-320.
In this paper, a new application of Equilibrium Optimizer (EO) is proposed for design hybrid microgrid to feed the electricity to Dakhla, Morocco, as an isolated area. EO is selected to design the microgrid system due to its high effectiveness in determining the optimal solution in very short time. EO is presented for selecting the optimal system design which can minimize the cost, improve the system stability, and cover the load at different climate conditions. Microgrid system consists of photovoltaic (PV), wind turbine (WT), battery, and diesel generator. The objective function treated in this paper is to minimize the net present cost (NPC), respecting several constraints such as the reliability, availability, and renewable fraction. The sensitivity analysis is conducted in two stages: Firstly, the impact of wind speed, solar radiation, interest rate, and diesel fuel on the NPC, and levelized cost of energy (LCOE) is analyzed. Secondly, the influence of size variation on loss of power supply probability (LPSP) is investigated. The results obtained by EO are compared with those obtained by recent metaheuristics optimization algorithms, namely, Harris Hawks Optimizer (HHO), Artificial Electric Field Algorithm (AEFA), Grey Wolf Optimizer (GWO), and Sooty Tern Optimization Algorithm (STOA). The results show that the optimal system design is achieved by the proposed EO, where renewable energy sources (PV and WT) represent 97% of the annual contribution and fast convergence characteristics are obtained by EO. The best NPC, LCOE, and LPSP are obtained via EO achieving 74327 $, 0.0917 $/kWh, and 0.0489, respectively.
Mohammed Kharrich; Salah Kamel; Mohamed Abdeen; Omar Hazem Mohammed; Mohammed Akherraz; Tahir Khurshaid; Sang-Bong Rhee. Developed Approach Based on Equilibrium Optimizer for Optimal Design of Hybrid PV/Wind/Diesel/Battery Microgrid in Dakhla, Morocco. IEEE Access 2021, 9, 13655 -13670.
AMA StyleMohammed Kharrich, Salah Kamel, Mohamed Abdeen, Omar Hazem Mohammed, Mohammed Akherraz, Tahir Khurshaid, Sang-Bong Rhee. Developed Approach Based on Equilibrium Optimizer for Optimal Design of Hybrid PV/Wind/Diesel/Battery Microgrid in Dakhla, Morocco. IEEE Access. 2021; 9 (99):13655-13670.
Chicago/Turabian StyleMohammed Kharrich; Salah Kamel; Mohamed Abdeen; Omar Hazem Mohammed; Mohammed Akherraz; Tahir Khurshaid; Sang-Bong Rhee. 2021. "Developed Approach Based on Equilibrium Optimizer for Optimal Design of Hybrid PV/Wind/Diesel/Battery Microgrid in Dakhla, Morocco." IEEE Access 9, no. 99: 13655-13670.
The hybrid microgrid system is based principally on renewable energy resources to avoid problems encountered from the use of conventional energy sources. The paper deals with the sizing problem of the hybrid microgrid system that consists of multiple resources, otherwise, a method to compare the multi-objective algorithms is proposed based on the Six Sigma approach. Three multi-objective optimization algorithms, namely MOPSO, PESA II, and SPEA2 are applied to design the hybrid PV/wind/diesel/battery system. Furthermore, three objective functions are considered; the Net Present Cost, the penalty cost of emission and the quantity of the CO2 released into the atmosphere, subject to multiple constraints such as LPSP (system reliability), the availability and renewable fraction. Besides that, this paper evaluated the project feasibility by calculating the LCOE and the dumped energy quantity that will be consumed by a dump load. The results showed that the SPEA2 is the better algorithm using the probabilistic and statistical approach of Six Sigma with a hybrid power system of 24445 $ as NPC. It is observed that the microgrid design which respect the reliability and availability both has more credibility. However, the microgrid designed satisfied all constraints with a competitive cost of energy.
Mohammed Kharrich; Omar Hazem Mohammed; Nahar Alshammari; Mohammed Akherraz. Multi-objective optimization and the effect of the economic factors on the design of the microgrid hybrid system. Sustainable Cities and Society 2020, 65, 102646 .
AMA StyleMohammed Kharrich, Omar Hazem Mohammed, Nahar Alshammari, Mohammed Akherraz. Multi-objective optimization and the effect of the economic factors on the design of the microgrid hybrid system. Sustainable Cities and Society. 2020; 65 ():102646.
Chicago/Turabian StyleMohammed Kharrich; Omar Hazem Mohammed; Nahar Alshammari; Mohammed Akherraz. 2020. "Multi-objective optimization and the effect of the economic factors on the design of the microgrid hybrid system." Sustainable Cities and Society 65, no. : 102646.
Recently, fast uptake of renewable energy sources (RES) in the world has introduced new difficulties and challenges; one of the most important challenges is providing economic energy with high efficiency and good quality. To reach this goal, many traditional and smart algorithms have been proposed and demonstrated their feasibility in obtaining the optimal solution. Therefore, this paper introduces an improved version of Bonobo Optimizer (BO) based on a quasi-oppositional method to solve the problem of designing a hybrid microgrid system including RES (photovoltaic (PV) panels, wind turbines (WT), and batteries) with diesel generators. A comparison between traditional BO, the Quasi-Oppositional BO (QOBO), and other optimization techniques called Harris Hawks Optimization (HHO), Artificial Electric Field Algorithm (AEFA) and Invasive Weed Optimization (IWO) is carried out to check the efficiency of the proposed QOBO. The QOBO is applied to a stand-alone hybrid microgrid system located in Aswan, Egypt. The results show the effectiveness of the QOBO algorithm to solve the optimal economic design problem for hybrid microgrid power systems.
Mohammed Kharrich; Omar Hazem Mohammed; Salah Kamel; Ali Selim; Hamdy M. Sultan; Mohammed Akherraz; Francisco Jurado. Development and Implementation of a Novel Optimization Algorithm for Reliable and Economic Grid-Independent Hybrid Power System. Applied Sciences 2020, 10, 6604 .
AMA StyleMohammed Kharrich, Omar Hazem Mohammed, Salah Kamel, Ali Selim, Hamdy M. Sultan, Mohammed Akherraz, Francisco Jurado. Development and Implementation of a Novel Optimization Algorithm for Reliable and Economic Grid-Independent Hybrid Power System. Applied Sciences. 2020; 10 (18):6604.
Chicago/Turabian StyleMohammed Kharrich; Omar Hazem Mohammed; Salah Kamel; Ali Selim; Hamdy M. Sultan; Mohammed Akherraz; Francisco Jurado. 2020. "Development and Implementation of a Novel Optimization Algorithm for Reliable and Economic Grid-Independent Hybrid Power System." Applied Sciences 10, no. 18: 6604.
The cost-effectiveness and the reliability are essential for hybrid microgrid systems. The design of hybrid microgrid configuration depends on the meteorological data and the load. Hybrid microgrid systems are composed of traditional or/and renewable energy sources, the sizing problems is solved using different methods, as stochastic algorithms, software tools, and the classical one. However, the objective functions are categorised into multiple aspects. The economic is the key for the sizing problems that aiming to decrease the cost of the investment/energy, the technology that seeks to ensure high reliability of the system with good availability of the energy sources, and the environment that helps to evaluate the carbon dioxide emission in order to clean the planet from the pollution. Furthermore, the sizing should be considered by the social that assesses the capability of the hybrid system to produce energy, which is computed as the human development index (HDI). This paper tries to present a recent review of the sizing methodologies for the hybrid microgrid systems, besides a decisive comparison of single algorithms, hybrid algorithms, and software tools used for sizing hybrid microgrid systems. In addition, an assessment of all the possible economic, technical, environmental, and social indices is also presented. Copyright © 2019 Praise Worthy Prize - All rights reserved.
Mohammed Kharrich; Omar Mohammed; Mohammed Y. Suliman; Mohammed Akherraz. A Review on Recent Sizing Methodologies for Hybrid Microgrid Systems. International Journal on Energy Conversion (IRECON) 2019, 7, 230 .
AMA StyleMohammed Kharrich, Omar Mohammed, Mohammed Y. Suliman, Mohammed Akherraz. A Review on Recent Sizing Methodologies for Hybrid Microgrid Systems. International Journal on Energy Conversion (IRECON). 2019; 7 (6):230.
Chicago/Turabian StyleMohammed Kharrich; Omar Mohammed; Mohammed Y. Suliman; Mohammed Akherraz. 2019. "A Review on Recent Sizing Methodologies for Hybrid Microgrid Systems." International Journal on Energy Conversion (IRECON) 7, no. 6: 230.
A new method proposed in this work to optimize the power generated by a hybrid renewable energy system which consists of Wind turbine/Tidal turbine/PV module/Batteries. This system has been designed to satisfy a stand-alone area in Brittany, France, as an example of load demand. The Particle Swarm Optimization technique (PSO) was proposed and developed to minimize the cost of energy. Where the ability of this algorithm was developed to reach the best results in double speeds, at a time rate better than 80% of conventional technology time and less than 20 repetitions only. The problem is defined as an economic problem, taking into consideration the optimal sizing of the system, high reliability, planning expansion for future development, the state of charge of the battery. The total net present cost (TNPSC) is introduced as the objective function, taking into consideration the minimum fitness values in the particle swarm process. The (PSO) algorithm developed has several characteristics and advantages over other traditional techniques and algorithms. In fact, it allows to achieve the optimal solution and to reduce the overall cost with high speed and accuracy. The PSO algorithm program was developed using MATLAB software.
Omar Mohammed; Yassine Amirat; Mohamed Benbouzid. Particle Swarm Optimization Of a Hybrid Wind/Tidal/PV/Battery Energy System. Application To a Remote Area In Bretagne, France. Energy Procedia 2019, 162, 87 -96.
AMA StyleOmar Mohammed, Yassine Amirat, Mohamed Benbouzid. Particle Swarm Optimization Of a Hybrid Wind/Tidal/PV/Battery Energy System. Application To a Remote Area In Bretagne, France. Energy Procedia. 2019; 162 ():87-96.
Chicago/Turabian StyleOmar Mohammed; Yassine Amirat; Mohamed Benbouzid. 2019. "Particle Swarm Optimization Of a Hybrid Wind/Tidal/PV/Battery Energy System. Application To a Remote Area In Bretagne, France." Energy Procedia 162, no. : 87-96.
This paper proposes a hybrid power system model (HPS) includes hydropower turbines, photovoltaic panels, and battery bank to satisfy an off-grid residential electrical load in Mosul, Iraq, with daily energy consumption about 8000kWh/day for peak power demand about 1MW and over a lifetime about 25 years. The proposed model was analyzed and carried out using HOMER Pro simulation that gives an economical integrating of the hybrid power system with high-reliability, optimal cost of energy production and reducing emissions. The results show that the proposed model of the hybrid renewable energy system that consist of hydropower turbines, photovoltaic panels, and battery bank provides a feasible strategy to meet the annual electrical demand for off-grid sites in Mosul, as well as ensuring and improving the reliability of integration the hybrid power system sources to minimize the total net present and energy cost of the system, with high efficiency under different climatic conditions. This work could be considered the art of the review to encourage researchers to exploit the renewable energies available in Iraq, especially with regard to the exploitation of solar and river energy in generating electricity.
Omar Mohammed. Optimal Hybridisation of a Renewable System to Fulfill Residential Electrical Load: in Mosul, Iraq. 2018 Third Scientific Conference of Electrical Engineering (SCEE) 2018, 209 -213.
AMA StyleOmar Mohammed. Optimal Hybridisation of a Renewable System to Fulfill Residential Electrical Load: in Mosul, Iraq. 2018 Third Scientific Conference of Electrical Engineering (SCEE). 2018; ():209-213.
Chicago/Turabian StyleOmar Mohammed. 2018. "Optimal Hybridisation of a Renewable System to Fulfill Residential Electrical Load: in Mosul, Iraq." 2018 Third Scientific Conference of Electrical Engineering (SCEE) , no. : 209-213.
Hybrid renewable energy systems are a promising technology for clean and sustainable development. In this paper, an intelligent algorithm, based on a genetic algorithm (GA), was developed and used to optimize the energy management and design of wind/PV/tidal/ storage battery model for a stand-alone hybrid system located in Brittany, France. This proposed optimization focuses on the economic analysis to reduce the total cost of hybrid system model. It suggests supplying the load demand under different climate condition during a 25-years interval, for different possible cases and solutions respecting many constraints. The proposed GA-based optimization approach achieved results clear highlight its practicality and applicability to any hybrid power system model, including optimal energy management, cost constraint, and high reliability.
Omar Hazem Mohammed; Yassine Amirat; Mohamed Benbouzid. Economical Evaluation and Optimal Energy Management of a Stand-Alone Hybrid Energy System Handling in Genetic Algorithm Strategies. Electronics 2018, 7, 233 .
AMA StyleOmar Hazem Mohammed, Yassine Amirat, Mohamed Benbouzid. Economical Evaluation and Optimal Energy Management of a Stand-Alone Hybrid Energy System Handling in Genetic Algorithm Strategies. Electronics. 2018; 7 (10):233.
Chicago/Turabian StyleOmar Hazem Mohammed; Yassine Amirat; Mohamed Benbouzid. 2018. "Economical Evaluation and Optimal Energy Management of a Stand-Alone Hybrid Energy System Handling in Genetic Algorithm Strategies." Electronics 7, no. 10: 233.
M. Kharrich; Omar Mohammed; M. Akherraz. Design of Hybrid Microgrid PV/Wind/Diesel/Battery System: Case Study for Rabat and Baghdad. EAI Endorsed Transactions on Energy Web 2018, 1 .
AMA StyleM. Kharrich, Omar Mohammed, M. Akherraz. Design of Hybrid Microgrid PV/Wind/Diesel/Battery System: Case Study for Rabat and Baghdad. EAI Endorsed Transactions on Energy Web. 2018; ():1.
Chicago/Turabian StyleM. Kharrich; Omar Mohammed; M. Akherraz. 2018. "Design of Hybrid Microgrid PV/Wind/Diesel/Battery System: Case Study for Rabat and Baghdad." EAI Endorsed Transactions on Energy Web , no. : 1.
Hybrid power generation systems have become a focal point to meet requirements of electric power demand. This kind of system combines several technologies and is considered as one of the appropriate options for supplying electricity in remote areas, such islands, where the electric utility is not available. It is one of the promising approaches due to its high flexibility, high reliability, higher efficiency, and lower costs for the same produced energy by traditional resources. Typically, hybrid power generation systems combine two or more conventional and renewable power sources. They will also incorporate a storage system. This chapter will focus on a typical hybrid power generation system using available renewables near the Ouessant French Island: wind energy, marine energy (tidal current), and PV. This hybrid system is intended to satisfy the island load demand. It will therefore explore optimal economical design and optimal power management of such kind of hybrid systems using different approaches: (1) Cascaded computation (linear programming approach); (2) Genetic algorithms-based approach; (3) Particle swarm optimization. In terms of economical optimization, different constraints (objective functions) will be explored for a given 25 years of lifetime; such as minimizing the Total Net Present Cost (TNPC), minimizing the Levelized Cost of Energy (LCE). The concept of reliability will also be explored to evaluate the hybrid system based on renewables to satisfy the island load requirements. In this chapter, the Equivalent Loss Factor (ELF) is considered.
O. H. Mohammed; Y. Amirat; M. E. H. Benbouzid; G. Feld. Optimal Design and Energy Management of a Hybrid Power Generation System Based on Wind/Tidal/PV Sources: Case Study for the Ouessant French Island. Smart and Sustainable Planning for Cities and Regions 2017, 381 -413.
AMA StyleO. H. Mohammed, Y. Amirat, M. E. H. Benbouzid, G. Feld. Optimal Design and Energy Management of a Hybrid Power Generation System Based on Wind/Tidal/PV Sources: Case Study for the Ouessant French Island. Smart and Sustainable Planning for Cities and Regions. 2017; ():381-413.
Chicago/Turabian StyleO. H. Mohammed; Y. Amirat; M. E. H. Benbouzid; G. Feld. 2017. "Optimal Design and Energy Management of a Hybrid Power Generation System Based on Wind/Tidal/PV Sources: Case Study for the Ouessant French Island." Smart and Sustainable Planning for Cities and Regions , no. : 381-413.
This paper deals with the optimal design and energy management of a hybrid wind/tidal/PV power generation system. The optimal combination of these renewable power sources is achieved using linear programming with high reliability as main constraints under various scenarios/conditions such as the location, solar radiation, and temperature. The proposed optimization approach is assessed for the off-grid site of the Ouessant French Island located in Bretagne (France), where the load demand is about 16GWh/year. The achieved results highlight the efficiency and reliability of the proposed algorithm for sizing a hybrid power generation system to match the site load demand.
Omar Hazem Mohammed; Yassine Amirat; Mohamed Benbouzid; Salim Haddad; Gilles Feld. Optimal sizing and energy management of hybrid wind/tidal/PV power generation system for remote areas: Application to the Ouessant French Island. IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society 2016, 4205 -4210.
AMA StyleOmar Hazem Mohammed, Yassine Amirat, Mohamed Benbouzid, Salim Haddad, Gilles Feld. Optimal sizing and energy management of hybrid wind/tidal/PV power generation system for remote areas: Application to the Ouessant French Island. IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society. 2016; ():4205-4210.
Chicago/Turabian StyleOmar Hazem Mohammed; Yassine Amirat; Mohamed Benbouzid; Salim Haddad; Gilles Feld. 2016. "Optimal sizing and energy management of hybrid wind/tidal/PV power generation system for remote areas: Application to the Ouessant French Island." IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society , no. : 4205-4210.
In recent years the electric power generation has entered into a new development era, which can be described mainly by increasing concerns about climate change, through the energy transition from hydrocarbon to clean energy resources. In order to power system enhance reliability, efficiency and safety, renewable and nonrenewable resources are integrated together to configure so-called hybrid systems. Despite the experience accumulated in the power networks, designing hybrid system is a complex task. It has become more challenging as far as most renewable energy resources are random and weather/climatic conditions-dependant. In this challenging context, this paper proposes a critical state-of-the-art review of hybrid generation systems planning expansion and indexes multi-objective methods as strategies for hybrid energy systems optimal design to satisfy technical and economical constraints.
Omar Mohammed; Yassine Amirat; Mohamed Benbouzid; Tianhao Tang. Hybrid generation systems planning expansion forecast: A critical state of the art review. IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society 2013, 1668 -1673.
AMA StyleOmar Mohammed, Yassine Amirat, Mohamed Benbouzid, Tianhao Tang. Hybrid generation systems planning expansion forecast: A critical state of the art review. IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society. 2013; ():1668-1673.
Chicago/Turabian StyleOmar Mohammed; Yassine Amirat; Mohamed Benbouzid; Tianhao Tang. 2013. "Hybrid generation systems planning expansion forecast: A critical state of the art review." IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society , no. : 1668-1673.