In recent years the electric power generation has entered into a new development era, which can b... more 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-dependent. 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.
2018 Third Scientific Conference of Electrical Engineering (SCEE)
This paper proposes a hybrid power system model (HPS) includes hydropower turbines, photovoltaic ... more 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.
Student’s achievement is affected by indoor thermal comfort, this paper aims to compare and inves... more Student’s achievement is affected by indoor thermal comfort, this paper aims to compare and investigatethermal comfort and indoor air quality (IAQ) In the classrooms to four buildings, The NorthernTechnical University/ Nineveh/ Iraq that contains varies kinds of air conditioning and heating ventilationsystem. Continuous on-site measurements of the internal levels of carbon dioxide (CO2), relativehumidity and temperature were registered at one-minute time intervals for each day of the week, for onemonth per building, including professional and non-professional working hours as well as weekends andcomparison with ASHRAE standards. The simultaneous external temperature and the relative humidityused in the analysis were also measured. Where the measurements were taken in the first building(College of Technical Engineering) and the second building (Technical Institute / Community HealthDepartment) and the third building (University President) and the fourth building (Technical Institute)...
2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)
The hybrid power systems become necessary, mainly in non-electrified areas as in Africa, where mi... more The hybrid power systems become necessary, mainly in non-electrified areas as in Africa, where millions of peoples have not access to electricity. This study solves the design problem of the microgrid systems, containing PV panels, wind turbines and battery storage system. This paper focuses to apply a recent algorithm named Chimp Optimization Algorithm (ChOA) and comparing its performance with two algorithms called IWO and GWO. The microgrid system design is based on optimizing of net present cost function, respecting some constraints. The results showed that the recent ChOA algorithm is better than the IWO and GWO, however, the suggested system is very suitable in the Dakhla location, where the metrological conditions are suitable.
Hybrid power generation systems have become a focal point to meet requirements of electric power ... more 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.
Abstract The hybrid microgrid system is based principally on renewable energy resources to avoid ... more Abstract 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.
International Journal on Energy Conversion (IRECON)
The cost-effectiveness and the reliability are essential for hybrid microgrid systems. The design... more 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.
Abstract A new method proposed in this work to optimize the power generated by a hybrid renewable... more Abstract 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.
IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, 2016
This paper deals with the optimal design and energy management of a hybrid wind/tidal/PV power ge... more 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.
Hybrid renewable energy systems are a promising technology for clean and sustainable development.... more 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.
In recent years the electric power generation has entered into a new development era, which can b... more 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-dependent. 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. Nomenclature GEP = Generation Expansion Planning; HGEP = Hybrid Generation Expansion Planning; LPSP = Loss of Power Supply Probability; ELF = Equivalent Loss Factor; LOLP = Loss of Load Probability; LCE = Levelized Cost of Energy; CC = Capital Cost; MC = Maintenance Cost; NPC = Net Present Cost; RC = Replacement Cost; SOC = State of Charge; ANN = Artificial Neural Networks; FL = Fuzzy Logic; GA = Genetic Algorithm; SA = Simulated Annealing; TS = Tabu Search; PSO = Particle Swarm Optimization; ACO = Ant Colony Optimization; AIS = Artificial Immune System; ABC = Artificial Bee Colony.
In recent years the electric power generation has entered into a new development era, which can b... more 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.
This paper deals with the optimal design of a stand-alone hybrid photovoltaic and fuel cell power... more This paper deals with the optimal design of a stand-alone hybrid photovoltaic and fuel cell power system without battery storage to supply the electric load demand of the city of Brest, Western Brittany in France. The proposed optimal design study is focused on economical performances and is mainly based on the loss of the power supply probability concept. The hybrid power system optimal design is based on a simulation model developed using HOMER. In this context, a practical load demand profile of Brest city is used with real weather data.
In recent years the electric power generation has entered into a new development era, which can b... more 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-dependent. 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.
2018 Third Scientific Conference of Electrical Engineering (SCEE)
This paper proposes a hybrid power system model (HPS) includes hydropower turbines, photovoltaic ... more 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.
Student’s achievement is affected by indoor thermal comfort, this paper aims to compare and inves... more Student’s achievement is affected by indoor thermal comfort, this paper aims to compare and investigatethermal comfort and indoor air quality (IAQ) In the classrooms to four buildings, The NorthernTechnical University/ Nineveh/ Iraq that contains varies kinds of air conditioning and heating ventilationsystem. Continuous on-site measurements of the internal levels of carbon dioxide (CO2), relativehumidity and temperature were registered at one-minute time intervals for each day of the week, for onemonth per building, including professional and non-professional working hours as well as weekends andcomparison with ASHRAE standards. The simultaneous external temperature and the relative humidityused in the analysis were also measured. Where the measurements were taken in the first building(College of Technical Engineering) and the second building (Technical Institute / Community HealthDepartment) and the third building (University President) and the fourth building (Technical Institute)...
2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)
The hybrid power systems become necessary, mainly in non-electrified areas as in Africa, where mi... more The hybrid power systems become necessary, mainly in non-electrified areas as in Africa, where millions of peoples have not access to electricity. This study solves the design problem of the microgrid systems, containing PV panels, wind turbines and battery storage system. This paper focuses to apply a recent algorithm named Chimp Optimization Algorithm (ChOA) and comparing its performance with two algorithms called IWO and GWO. The microgrid system design is based on optimizing of net present cost function, respecting some constraints. The results showed that the recent ChOA algorithm is better than the IWO and GWO, however, the suggested system is very suitable in the Dakhla location, where the metrological conditions are suitable.
Hybrid power generation systems have become a focal point to meet requirements of electric power ... more 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.
Abstract The hybrid microgrid system is based principally on renewable energy resources to avoid ... more Abstract 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.
International Journal on Energy Conversion (IRECON)
The cost-effectiveness and the reliability are essential for hybrid microgrid systems. The design... more 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.
Abstract A new method proposed in this work to optimize the power generated by a hybrid renewable... more Abstract 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.
IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, 2016
This paper deals with the optimal design and energy management of a hybrid wind/tidal/PV power ge... more 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.
Hybrid renewable energy systems are a promising technology for clean and sustainable development.... more 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.
In recent years the electric power generation has entered into a new development era, which can b... more 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-dependent. 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. Nomenclature GEP = Generation Expansion Planning; HGEP = Hybrid Generation Expansion Planning; LPSP = Loss of Power Supply Probability; ELF = Equivalent Loss Factor; LOLP = Loss of Load Probability; LCE = Levelized Cost of Energy; CC = Capital Cost; MC = Maintenance Cost; NPC = Net Present Cost; RC = Replacement Cost; SOC = State of Charge; ANN = Artificial Neural Networks; FL = Fuzzy Logic; GA = Genetic Algorithm; SA = Simulated Annealing; TS = Tabu Search; PSO = Particle Swarm Optimization; ACO = Ant Colony Optimization; AIS = Artificial Immune System; ABC = Artificial Bee Colony.
In recent years the electric power generation has entered into a new development era, which can b... more 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.
This paper deals with the optimal design of a stand-alone hybrid photovoltaic and fuel cell power... more This paper deals with the optimal design of a stand-alone hybrid photovoltaic and fuel cell power system without battery storage to supply the electric load demand of the city of Brest, Western Brittany in France. The proposed optimal design study is focused on economical performances and is mainly based on the loss of the power supply probability concept. The hybrid power system optimal design is based on a simulation model developed using HOMER. In this context, a practical load demand profile of Brest city is used with real weather data.
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Papers by OMAR HAZEM MOHAMMED
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.
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.