Adel A. Elbaset

This book discusses dynamic modeling, simulation, and control strategies for Photovoltaic (PV) stand-alone systems during variation of environmental conditions. Moreover, the effectiveness of the implemented Maximum Power Point Tracking (MPPT) techniques and the employed control strategy are evaluated during variations of solar irradiance and cell temperature. The simulation results are based on the reliability of the MPPT techniques applied in extracting the maximum power from the PV system during the rapid variation of the environmental conditions. The authors review two MPPT techniques implemented in PV systems, namely the perturb and observe (P&O) MPPT Technique and the Incremental Conductance (InCond) MPPT technique. These two MPPT techniques were simulated by the MATLAB/Simulink and the results response of the PV array from voltage, current, and power are compared to the effect of solar irradiation and temperature change.

Protection Improvement of Electrical Network-Connected Wind Energy Systems: Case Studies, Strategies, and Techniques from the Egyptian Power System focuses on improving the protection of wind energy systems linked to an electrical network. It explores various protection strategies and techniques to enhance the wind energy systems' capability of withstanding low-voltage ride-through (LVRT) and reduce the total annual cost. The book addresses the advantages and disadvantages of each protection strategy, providing a comprehensive evaluation of the protection techniques employed to improve LVRT capabilities. The authors use the Al-Zafarana Wind Energy Conversion System as a case study system for simulation tests in a MATLAB/Simulink environment.

This text discusses sensitivity parametric analysis for the single tuned filter parameters and presents an optimization-based method for solving the allocation problem of the distributed generation units and capacitor banks in distribution systems. It also highlights the importance of artificial intelligence techniques such as water cycle algorithms in solving power quality problems such as over-voltage and harmonic distortion. Features: Presents a sensitivity parametric analysis for the single tuned filter parameters.Discusses optimization-based methods for solving the allocation problem of the distributed generation units and capacitor banks in distribution systems.Highlights the importance of artificial intelligence techniques (water cycle algorithm) for solving power quality problems such as over-voltage and harmonic distortion.Showcases a procedure for harmonic mitigation in active distribution systems using the single tuned harmonic filters.Helps in learning how to determine the optimal planning of the single tuned filters to mitigate the harmonic distortion in distorted systems. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, Power systems planning and analysis.

The continuous increase of wind power penetration levels in Egypt makes wind a critical component of power generation in the grid. Studying wind power quality issues and the interaction between wind turbines and the grid is necessary and imperative. The authors present research on power quality and grid code issues, harmonics and wind power, voltage stability improvement using STATCOM, control techniques for active power filters, and the economics of electrical wind energy. The simulation for all of the studies presented is carried out in a MATLAB/Simulink environment using the Simulink power system toolbox. The book also presents case studies on an electrical network-connected wind energy conversion system and gives an overview of the feasibility of having wind power plants in several regions in Egypt, along the Gulf of Suez, on both sides of the Nile, the Mediterranean Sea, and South Upper Egypt.

?Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence presents methods for monitoring transmission systems and enhancing distribution system performance using modern optimization techniques considering different multi-objective functions such as voltage loss sensitivity indexes, reducing total annual cost, and voltage deviation. The authors offer a comprehensive survey of distributed energy resources (DERs), explain the backward/forward sweep (BFS) power flow algorithm, and present simulation results on the optimal integration of photovoltaic-based distributed generators (PV-DG) and distribution static synchronous compensators (DSTATCOM) in different transmission and distribution systems. This book will be a valuable academic and industry resource for electrical engineers, students, and researchers working on optimization techniques, photovoltaic systems, energy engineering, and artificial intelligence.

The continuous increase of wind power penetration levels in Egypt makes wind a critical component of power generation in the grid. Studying wind power quality issues and the interaction between wind turbines and the grid is necessary and imperative. The authors present research on power quality and grid code issues, harmonics and wind power, voltage stability improvement using STATCOM, control techniques for active power filters, and the economics of electrical wind energy. The simulation for all of the studies presented is carried out in a MATLAB/Simulink environment using the Simulink power system toolbox. The book also presents case studies on an electrical network-connected wind energy conversion system and gives an overview of the feasibility of having wind power plants in several regions in Egypt, along the Gulf of Suez, on both sides of the Nile, the Mediterranean Sea, and South Upper Egypt.

Modern Optimization Techniques for Smart Grids presents current research and methods for monitoring transmission systems and enhancing distribution system performance using optimization techniques considering the role of different single and multi-objective functions. The authors present in-depth information on integrated systems for smart transmission and distribution, including using smart meters such as phasor measurement units (PMUs), enhancing distribution system performance using the optimal placement of distributed generations (DGs) and/or capacitor banks, and optimal capacitor placement for power loss reduction and voltage profile improvement. The book will be a valuable reference for researchers, students, and engineers working in electrical power engineering and renewable energy systems.Predicts future development of hybrid power systems;Introduces enhanced optimization strategies;Includes MATLAB M-file codes.

?Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence presents methods for monitoring transmission systems and enhancing distribution system performance using modern optimization techniques considering different multi-objective functions such as voltage loss sensitivity indexes, reducing total annual cost, and voltage deviation. The authors offer a comprehensive survey of distributed energy resources (DERs), explain the backward/forward sweep (BFS) power flow algorithm, and present simulation results on the optimal integration of photovoltaic-based distributed generators (PV-DG) and distribution static synchronous compensators (DSTATCOM) in different transmission and distribution systems. This book will be a valuable academic and industry resource for electrical engineers, students, and researchers working on optimization techniques, photovoltaic systems, energy engineering, and artificial intelligence.

This text discusses sensitivity parametric analysis for the single tuned filter parameters and presents an optimization-based method for solving the allocation problem of the distributed generation units and capacitor banks in distribution systems. It also highlights the importance of artificial intelligence techniques such as water cycle algorithms in solving power quality problems such as over-voltage and harmonic distortion. Features: Presents a sensitivity parametric analysis for the single tuned filter parameters.Discusses optimization-based methods for solving the allocation problem of the distributed generation units and capacitor banks in distribution systems.Highlights the importance of artificial intelligence techniques (water cycle algorithm) for solving power quality problems such as over-voltage and harmonic distortion.Showcases a procedure for harmonic mitigation in active distribution systems using the single tuned harmonic filters.Helps in learning how to determine the optimal planning of the single tuned filters to mitigate the harmonic distortion in distorted systems. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, Power systems planning and analysis.

Modern Optimization Techniques for Smart Grids presents current research and methods for monitoring transmission systems and enhancing distribution system performance using optimization techniques considering the role of different single and multi-objective functions. The authors present in-depth information on integrated systems for smart transmission and distribution, including using smart meters such as phasor measurement units (PMUs), enhancing distribution system performance using the optimal placement of distributed generations (DGs) and/or capacitor banks, and optimal capacitor placement for power loss reduction and voltage profile improvement. The book will be a valuable reference for researchers, students, and engineers working in electrical power engineering and renewable energy systems.Predicts future development of hybrid power systems;Introduces enhanced optimization strategies;Includes MATLAB M-file codes.

This book looks at the challenge of providing reliable and cost-effective power solutions to expanding communications networks in remote and rural areas where grid electricity is limited or not available. It examines the use of renewable energy systems to provide off-grid remote electrification from a variety of resources, including regenerative fuel cells, ultracapacitors, wind energy, and photovoltaic power systems, and proposes a powerful hybrid system that can replace the need and high operation costs of batteries and diesel powered electric generators. Analyzes types of communications stations and their rate of consumption of electrical power;Presents brief descriptions of various types of renewable energy;Investigates renewable energy systems as a source for powering communication stations.

This book opens with a brief introduction to renewable energy and the advantages of solar energy systems, an overview of concentrated solar power (CSP) system technologies and modeling, and the application of artificial neural network (ANN) technologies in various solar field systems. Later chapters cover data and operation methods of central tower receiver power plants (CTRPP), important models of ANN techniques used in solar energy fields, accurate methods for modeling CTRPP, the economics of solar energy systems, the CSP impacts on the penetration level of photovoltaic (PV) systems, and a look at the reliability of systems using case studies on PV systems and hybrid PV and CSP systems.Provides an introduction to renewable energy and the advantages of solar energy systemsOutlines methods for modeling central tower receiver power plantsIncludes case studies on photovoltaic (PV) and hybrid PV and concentrated solar power systems

This book looks at the challenge of providing reliable and cost-effective power solutions to expanding communications networks in remote and rural areas where grid electricity is limited or not available. It examines the use of renewable energy systems to provide off-grid remote electrification from a variety of resources, including regenerative fuel cells, ultracapacitors, wind energy, and photovoltaic power systems, and proposes a powerful hybrid system that can replace the need and high operation costs of batteries and diesel powered electric generators. Analyzes types of communications stations and their rate of consumption of electrical power;Presents brief descriptions of various types of renewable energy;Investigates renewable energy systems as a source for powering communication stations.

This book presents innovative techniques and approaches to maintaining dynamic security of modern power systems that have a high penetration of renewable energy sources (RESs). The authors propose a number of frequency control strategies and schemes to address and evade stability problems in system frequency and voltage that can lead to power interruption and power failure/blackout. The book includes case studies aimed at validating the effectiveness of the techniques and strategies presented, and will be a valuable resource for researchers working in electrical power engineering, power system stability, dynamics and control, and microgrids.

This book opens with a brief introduction to renewable energy and the advantages of solar energy systems, an overview of concentrated solar power (CSP) system technologies and modeling, and the application of artificial neural network (ANN) technologies in various solar field systems. Later chapters cover data and operation methods of central tower receiver power plants (CTRPP), important models of ANN techniques used in solar energy fields, accurate methods for modeling CTRPP, the economics of solar energy systems, the CSP impacts on the penetration level of photovoltaic (PV) systems, and a look at the reliability of systems using case studies on PV systems and hybrid PV and CSP systems.Provides an introduction to renewable energy and the advantages of solar energy systemsOutlines methods for modeling central tower receiver power plantsIncludes case studies on photovoltaic (PV) and hybrid PV and concentrated solar power systems

This book presents innovative techniques and approaches to maintaining dynamic security of modern power systems that have a high penetration of renewable energy sources (RESs). The authors propose a number of frequency control strategies and schemes to address and evade stability problems in system frequency and voltage that can lead to power interruption and power failure/blackout. The book includes case studies aimed at validating the effectiveness of the techniques and strategies presented, and will be a valuable resource for researchers working in electrical power engineering, power system stability, dynamics and control, and microgrids.

This book discusses dynamic modeling, simulation, and control strategies for Photovoltaic (PV) stand-alone systems during variation of environmental conditions. Moreover, the effectiveness of the implemented Maximum Power Point Tracking (MPPT) techniques and the employed control strategy are evaluated during variations of solar irradiance and cell temperature. The simulation results are based on the reliability of the MPPT techniques applied in extracting the maximum power from the PV system during the rapid variation of the environmental conditions. The authors review two MPPT techniques implemented in PV systems, namely the perturb and observe (P&O) MPPT Technique and the Incremental Conductance (InCond) MPPT technique. These two MPPT techniques were simulated by the MATLAB/Simulink and the results response of the PV array from voltage, current, and power are compared to the effect of solar irradiation and temperature change.

This book presents a case study on a new approach for the optimum design of rooftop, grid-connected photovoltaic-system installation. The study includes two scenarios using different brands of commercially available PV modules and inverters. It investigates and compares several different rooftop grid-connected PV-system configurations taking into account PV modules and inverter specifications. The book also discusses the detailed dynamic MATLAB/Simulink model of the proposed rooftop grid-connected PV system, and uses this model to estimate the energy production capabilities, cost of energy (COE), simple payback time (SPBT) and greenhouse gas (GHG) emissions for each configuration. The book then presents a comprehensive small signal MATLAB/Simulink model for the DC-DC converter operated under continuous conduction mode (CCM). First, the buck converter is modeled using state-space average model and dynamic equations, depicting the converter, are derived. Then a detailed MATLAB/Simulink model utilizing SimElectronics® Toolbox is developed. Lastly, the robustness of the converter model is verified against input voltage variations and step load changes.

This book presents a case study on a new approach for the optimum design of rooftop, grid-connected photovoltaic-system installation. The study includes two scenarios using different brands of commercially available PV modules and inverters. It investigates and compares several different rooftop grid-connected PV-system configurations taking into account PV modules and inverter specifications. The book also discusses the detailed dynamic MATLAB/Simulink model of the proposed rooftop grid-connected PV system, and uses this model to estimate the energy production capabilities, cost of energy (COE), simple payback time (SPBT) and greenhouse gas (GHG) emissions for each configuration. The book then presents a comprehensive small signal MATLAB/Simulink model for the DC-DC converter operated under continuous conduction mode (CCM). First, the buck converter is modeled using state-space average model and dynamic equations, depicting the converter, are derived. Then a detailed MATLAB/Simulink model utilizing SimElectronics® Toolbox is developed. Lastly, the robustness of the converter model is verified against input voltage variations and step load changes.