This paper proposes centralized and distributed optimization models for V2G applications to provi... more This paper proposes centralized and distributed optimization models for V2G applications to provide frequency regulation in power systems and the electricity market. Battery degradation and dynamic EV usages such as EV driving period, driving distance, and multiple charging/discharging locations are modeled. The centralized V2G problem is formulated into the linear programming (LP) model by introducing two sets of slack variables. However, the centralized model encounters limitations such as privacy concerns, high complexity, and central failure issues. To overcome these limitations, the distributed optimal V2G model is developed by decomposing the centralized model into subproblems using the augmented Lagrangian relaxation (ALR) method. The alternating direction method of multipliers (ADMM) is used to solve the distributed V2G model iteratively. The proposed models are evaluated using real data from the Independent Electricity System Operator (IESO) Ontario, Canada. Simulation resu...
Electric vehicles (EVs) have become increasingly popular because they are highly efficient and su... more Electric vehicles (EVs) have become increasingly popular because they are highly efficient and sustainable. However, EVs have intensive electric loads. Their penetrations into the power system pose significant challenges to the operation and control of the power distribution system, such as a voltage drop or transformer overloading. Therefore, grid operators need to prepare for high-level EV penetration into the power system. This study proposes data-driven, parameterized, individual, and aggregated EV charging models to predict EV charging loads in the urban residential sector. Actual EV charging profiles in Saskatchewan, Canada, were analyzed to understand the characteristics of EV charging. A location-based algorithm was developed to identify residential EV charging from raw data. The residential EV charging data were then used to tune the EV charging model parameters, including battery capacity, charging power level, start charging time, daily EV charging energy, and the initial...
2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE), 2017
The sector of water pumping is one of the greatest consumers of electricity. Integrating microgri... more The sector of water pumping is one of the greatest consumers of electricity. Integrating microgrids and renewable energy sources facilitates stainable energy future. This paper proposes an optimal operation of energy management system in a microgrid with water pumping. The microgrid includes PV, wind turbine, and energy storage system (ESS). The proposed method determines the optimal hour-by-hour scheduling for the microgrid system while it meets the required demand and includes a water pumping station. Genetic algorithm (GA) was applied to solve the problem with an objective of total operational cost minimization. The method was applied to a typical microgrid system with different parallel-connected pump configurations. The results indicate high potential savings for the total operating cost.
2018 Australian & New Zealand Control Conference (ANZCC)
A microgrid (MG) is an energy system composed of renewable resources, energy storage unit and loa... more A microgrid (MG) is an energy system composed of renewable resources, energy storage unit and loads that can operate in either islanded or grid-connected mode. Renewable resources should be scheduled to manage load demand and power flow within MG. This paper presents a MG energy management system (M-EMS) for grid-connected photovoltaic (PV) and battery energy storage system (BESS) based hybrid MG. The proposed M-EMS consists of two modules, namely, forecasting and optimisation. The forecasting module is responsible for predicting solar irradiance, temperature and load demand, whereas the optimisation module performs optimal day-ahead scheduling of power generation and load demand in a grid-connected MG for economical operation. The proposed M-EMS for grid-connected hybrid PV-BESS MG is verified using MATLAB/Simulink. Simulation results indicate the efficiency and effectiveness of the proposed method for understudy case.
Journal of International Council on Electrical Engineering, 2018
Recently, Smart grid is one the important concepts that improve the energy future. This paper pro... more Recently, Smart grid is one the important concepts that improve the energy future. This paper proposes an economic optimization technique for battery management to reduce the operating cost of a gr...
The popularity of electric vehicles raises both significant challenges and potential opportunitie... more The popularity of electric vehicles raises both significant challenges and potential opportunities for a power system operator. Various vehicle-to-grid (V2G) applications have been developed to cope with the challenges and harvest the opportunities. This paper proposes both centralized and distributed multi-agent optimization models for power system frequency regulation through V2G applications. The proposed approaches incorporate stochastic EV driving patterns and multiple charging or dis-charging locations. In addition, two sets of coordination vectors are developed to cope with undesired charging or discharging behavior. The distributed model can be efficiently solved by EV embedded systems and it can also persevere EV owners’ privacy. For the sake of verification, the proposed approach is performed in a case study using real data from the Ontario Independent Electricity System Operator (IESO), Canada. The simulation results show that the reference load signal for frequency regul...
Recently, Smart grid is one the important concepts that improve the energy future. This paper pro... more Recently, Smart grid is one the important concepts that improve the energy future. This paper proposes an economic optimization technique for battery management to reduce the operating cost of a grid-connected microgrid. The proposed microgrid includes photovoltaic, wind power, and battery storage system. The proposed objective concerns with determination of the optimal hourly management for the operating power system to meet the required profile of load demand. In addition to, the excess/lack amount of electricity can be sold to/purchased from the utility grid. Interior Search Algorithm (ISA), an efficient heuristic algorithm, is applied to solve the problem with an objective of total operational cost minimization. The optimization technique is applied to a typical microgrid system with different loading conditions as a case study to test its effectiveness. The proposed platform can be considered as a significant part of comprehensive energy management system (EMS). The simulation results indicate high potential savings for the total operating cost. ARTICLE HISTORY
Recently, significant development has occurred in the field of microgrid and renewable energy sys... more Recently, significant development has occurred in the field of microgrid and renewable energy systems (RESs). Integrating microgrids and renewable energy sources facilitates a sustainable energy future. This paper proposes a control algorithm and an optimal energy management system (EMS) for a grid-connected microgrid to minimize its operating cost. The microgrid includes photovoltaic (PV), wind turbine (WT), and energy storage systems (ESS). The interior search algorithm (ISA) optimization technique determines the optimal hour-by-hour scheduling for the microgrid system, while it meets the required load demand based on 24-h ahead forecast data. The control system consists of three stages: EMS, supervisory control and local control. EMS is responsible for providing the control system with the optimum day-ahead scheduling power flow between the microgrid (MG) sources, batteries, loads and the main grid based on an economic analysis. The supervisory control stage is responsible for compensating the mismatch between the scheduled power and the real microgrid power. In addition, this paper presents the local control design to regulate the local power, current and DC voltage of the microgrid. For verification, the proposed model was applied on a real case study in Oshawa (Ontario, Canada) with various load conditions.
This paper proposes a hybrid AC/DC micro grid to reduce the processes of multiple conversions in ... more This paper proposes a hybrid AC/DC micro grid to reduce the processes of multiple conversions in an individual AC or DC micro-grid. The hybrid grid consists of both AC and DC networks connected together by a bidirectional AC/DC converter. Wind generator, AC loads, and utility are connected to the AC bus whereas PV system and DC loads are tied to the DC bus. The coordination control algorithms of supervisor controller are proposed for smooth power transfer between AC and DC links and for stable system operation under various generation and load conditions. In this paper, a flexible supervisor controller is developed for a hybrid AC/DC micro-grid, where the power flow in the micro-grid is supervised based on demanded power with maximum utilization of renewable resources. A small hybrid micro-grid has been modeled and simulated using the Simulink in the MATLAB. The simulation results show that the system can maintain stable under load variations.
This paper proposes centralized and distributed optimization models for V2G applications to provi... more This paper proposes centralized and distributed optimization models for V2G applications to provide frequency regulation in power systems and the electricity market. Battery degradation and dynamic EV usages such as EV driving period, driving distance, and multiple charging/discharging locations are modeled. The centralized V2G problem is formulated into the linear programming (LP) model by introducing two sets of slack variables. However, the centralized model encounters limitations such as privacy concerns, high complexity, and central failure issues. To overcome these limitations, the distributed optimal V2G model is developed by decomposing the centralized model into subproblems using the augmented Lagrangian relaxation (ALR) method. The alternating direction method of multipliers (ADMM) is used to solve the distributed V2G model iteratively. The proposed models are evaluated using real data from the Independent Electricity System Operator (IESO) Ontario, Canada. Simulation resu...
Electric vehicles (EVs) have become increasingly popular because they are highly efficient and su... more Electric vehicles (EVs) have become increasingly popular because they are highly efficient and sustainable. However, EVs have intensive electric loads. Their penetrations into the power system pose significant challenges to the operation and control of the power distribution system, such as a voltage drop or transformer overloading. Therefore, grid operators need to prepare for high-level EV penetration into the power system. This study proposes data-driven, parameterized, individual, and aggregated EV charging models to predict EV charging loads in the urban residential sector. Actual EV charging profiles in Saskatchewan, Canada, were analyzed to understand the characteristics of EV charging. A location-based algorithm was developed to identify residential EV charging from raw data. The residential EV charging data were then used to tune the EV charging model parameters, including battery capacity, charging power level, start charging time, daily EV charging energy, and the initial...
2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE), 2017
The sector of water pumping is one of the greatest consumers of electricity. Integrating microgri... more The sector of water pumping is one of the greatest consumers of electricity. Integrating microgrids and renewable energy sources facilitates stainable energy future. This paper proposes an optimal operation of energy management system in a microgrid with water pumping. The microgrid includes PV, wind turbine, and energy storage system (ESS). The proposed method determines the optimal hour-by-hour scheduling for the microgrid system while it meets the required demand and includes a water pumping station. Genetic algorithm (GA) was applied to solve the problem with an objective of total operational cost minimization. The method was applied to a typical microgrid system with different parallel-connected pump configurations. The results indicate high potential savings for the total operating cost.
2018 Australian & New Zealand Control Conference (ANZCC)
A microgrid (MG) is an energy system composed of renewable resources, energy storage unit and loa... more A microgrid (MG) is an energy system composed of renewable resources, energy storage unit and loads that can operate in either islanded or grid-connected mode. Renewable resources should be scheduled to manage load demand and power flow within MG. This paper presents a MG energy management system (M-EMS) for grid-connected photovoltaic (PV) and battery energy storage system (BESS) based hybrid MG. The proposed M-EMS consists of two modules, namely, forecasting and optimisation. The forecasting module is responsible for predicting solar irradiance, temperature and load demand, whereas the optimisation module performs optimal day-ahead scheduling of power generation and load demand in a grid-connected MG for economical operation. The proposed M-EMS for grid-connected hybrid PV-BESS MG is verified using MATLAB/Simulink. Simulation results indicate the efficiency and effectiveness of the proposed method for understudy case.
Journal of International Council on Electrical Engineering, 2018
Recently, Smart grid is one the important concepts that improve the energy future. This paper pro... more Recently, Smart grid is one the important concepts that improve the energy future. This paper proposes an economic optimization technique for battery management to reduce the operating cost of a gr...
The popularity of electric vehicles raises both significant challenges and potential opportunitie... more The popularity of electric vehicles raises both significant challenges and potential opportunities for a power system operator. Various vehicle-to-grid (V2G) applications have been developed to cope with the challenges and harvest the opportunities. This paper proposes both centralized and distributed multi-agent optimization models for power system frequency regulation through V2G applications. The proposed approaches incorporate stochastic EV driving patterns and multiple charging or dis-charging locations. In addition, two sets of coordination vectors are developed to cope with undesired charging or discharging behavior. The distributed model can be efficiently solved by EV embedded systems and it can also persevere EV owners’ privacy. For the sake of verification, the proposed approach is performed in a case study using real data from the Ontario Independent Electricity System Operator (IESO), Canada. The simulation results show that the reference load signal for frequency regul...
Recently, Smart grid is one the important concepts that improve the energy future. This paper pro... more Recently, Smart grid is one the important concepts that improve the energy future. This paper proposes an economic optimization technique for battery management to reduce the operating cost of a grid-connected microgrid. The proposed microgrid includes photovoltaic, wind power, and battery storage system. The proposed objective concerns with determination of the optimal hourly management for the operating power system to meet the required profile of load demand. In addition to, the excess/lack amount of electricity can be sold to/purchased from the utility grid. Interior Search Algorithm (ISA), an efficient heuristic algorithm, is applied to solve the problem with an objective of total operational cost minimization. The optimization technique is applied to a typical microgrid system with different loading conditions as a case study to test its effectiveness. The proposed platform can be considered as a significant part of comprehensive energy management system (EMS). The simulation results indicate high potential savings for the total operating cost. ARTICLE HISTORY
Recently, significant development has occurred in the field of microgrid and renewable energy sys... more Recently, significant development has occurred in the field of microgrid and renewable energy systems (RESs). Integrating microgrids and renewable energy sources facilitates a sustainable energy future. This paper proposes a control algorithm and an optimal energy management system (EMS) for a grid-connected microgrid to minimize its operating cost. The microgrid includes photovoltaic (PV), wind turbine (WT), and energy storage systems (ESS). The interior search algorithm (ISA) optimization technique determines the optimal hour-by-hour scheduling for the microgrid system, while it meets the required load demand based on 24-h ahead forecast data. The control system consists of three stages: EMS, supervisory control and local control. EMS is responsible for providing the control system with the optimum day-ahead scheduling power flow between the microgrid (MG) sources, batteries, loads and the main grid based on an economic analysis. The supervisory control stage is responsible for compensating the mismatch between the scheduled power and the real microgrid power. In addition, this paper presents the local control design to regulate the local power, current and DC voltage of the microgrid. For verification, the proposed model was applied on a real case study in Oshawa (Ontario, Canada) with various load conditions.
This paper proposes a hybrid AC/DC micro grid to reduce the processes of multiple conversions in ... more This paper proposes a hybrid AC/DC micro grid to reduce the processes of multiple conversions in an individual AC or DC micro-grid. The hybrid grid consists of both AC and DC networks connected together by a bidirectional AC/DC converter. Wind generator, AC loads, and utility are connected to the AC bus whereas PV system and DC loads are tied to the DC bus. The coordination control algorithms of supervisor controller are proposed for smooth power transfer between AC and DC links and for stable system operation under various generation and load conditions. In this paper, a flexible supervisor controller is developed for a hybrid AC/DC micro-grid, where the power flow in the micro-grid is supervised based on demanded power with maximum utilization of renewable resources. A small hybrid micro-grid has been modeled and simulated using the Simulink in the MATLAB. The simulation results show that the system can maintain stable under load variations.
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Papers by mohamed El-Hendawi