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​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 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 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 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 (R) Toolbox is developed. Lastly, the robustness of
the converter model is verified against input voltage variations
and step load changes.
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
systems Outlines methods for modeling central tower receiver power
plants Includes case studies on photovoltaic (PV) and hybrid PV and
concentrated solar power systems
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.
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 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 (R) Toolbox is developed. Lastly, the robustness of
the converter model is verified against input voltage variations
and step load changes.
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.
Design of photovoltaic Wind Energy System Hybrid Electric Power
System (PV/WES HEPS) has many issues if we take all economical and
technical parameters into account. The Book presents a complete
design and simulation of a PV/WES HEPS to be interconnected with
utility grid, UG. The proposed design of PV/WES HEPS is based on
energy balance, minimum price of gener ated kilo watt hour (kWh),
maximum power point tracking for PV and WES by using an artificial
intelligence technique. This Book presents also a possible circuit
topology and controller design for a grid- connected DC-AC power
converter. In this Book we present a study, describe a control
strategy for interconnection of hybrid system with electric utility
accompanied with or without battery storage using artificial
intelligence techniques and also a fuzzy logic technique to
calculate and assess the reliability index for each HEPS
configuration under study.
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