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This book features extensive coverage of all Distributed Energy
Generation technologies, highlighting the technical, environmental
and economic aspects of distributed resource integration, such as
line loss reduction, protection, control, storage, power
electronics, reliability improvement, and voltage profile
optimization. It explains how electric power system planners,
developers, operators, designers, regulators and policy makers can
derive many benefits with increased penetration of distributed
generation units into smart distribution networks. It further
demonstrates how to best realize these benefits via skillful
integration of distributed energy sources, based upon an
understanding of the characteristics of loads and network
configuration.
Thermal Power Plants: Modeling, Control, and Efficiency Improvement
explains how to solve highly complex industry problems regarding
identification, control, and optimization through integrating
conventional technologies, such as modern control technology,
computational intelligence-based multiobjective identification and
optimization, distributed computing, and cloud computing with
computational fluid dynamics (CFD) technology. Introducing
innovative methods utilized in industrial applications, explored in
scientific research, and taught at leading academic universities,
this book: Discusses thermal power plant processes and process
modeling, energy conservation, performance audits, efficiency
improvement modeling, and efficiency optimization supported by
high-performance computing integrated with cloud computing Shows
how to simulate fossil fuel power plant real-time processes,
including boiler, turbine, and generator systems Provides
downloadable source codes for use in CORBA C++, MATLAB (R),
Simulink (R), VisSim, Comsol, ANSYS, and ANSYS Fluent modeling
software Although the projects in the text focus on industry
automation in electrical power engineering, the methods can be
applied in other industries, such as concrete and steel production
for real-time process identification, control, and optimization.
Concern for reliable power supply and energy-efficient system
design has led to usage of power electronics-based systems,
including efficient electric power conversion and power
semiconductor devices. This book provides integration of complete
fundamental theory, design, simulation and application of power
electronics, and drives covering up-to-date subject components. It
contains twenty-one chapters arranged in four sections on power
semiconductor devices, basic power electronic converters, advanced
power electronics converters, power supplies, electrical drives and
advanced applications. Aimed at senior undergraduate and graduate
students in electrical engineering and power electronics including
related professionals, this book * Includes electrical drives such
as DC motor, AC motor, special motor, high performance motor
drives, solar, electrical/hybrid vehicle and fuel cell drives *
Reviews advances in renewable energy technologies (wind, PV, hybrid
power systems) and their integration * Explores topics like
distributed generation, microgrid, and wireless power transfer
system * Includes simulation examples using MATLAB (R)/Simulink and
over four hundred solved, unsolved and review problems
This book features extensive coverage of all Distributed Energy
Generation technologies, highlighting the technical, environmental
and economic aspects of distributed resource integration, such as
line loss reduction, protection, control, storage, power
electronics, reliability improvement, and voltage profile
optimization. It explains how electric power system planners,
developers, operators, designers, regulators and policy makers can
derive many benefits with increased penetration of distributed
generation units into smart distribution networks. It further
demonstrates how to best realize these benefits via skillful
integration of distributed energy sources, based upon an
understanding of the characteristics of loads and network
configuration.
Thermal Power Plants: Modeling, Control, and Efficiency Improvement
explains how to solve highly complex industry problems regarding
identification, control, and optimization through integrating
conventional technologies, such as modern control technology,
computational intelligence-based multiobjective identification and
optimization, distributed computing, and cloud computing with
computational fluid dynamics (CFD) technology. Introducing
innovative methods utilized in industrial applications, explored in
scientific research, and taught at leading academic universities,
this book: Discusses thermal power plant processes and process
modeling, energy conservation, performance audits, efficiency
improvement modeling, and efficiency optimization supported by
high-performance computing integrated with cloud computing Shows
how to simulate fossil fuel power plant real-time processes,
including boiler, turbine, and generator systems Provides
downloadable source codes for use in CORBA C++, MATLAB (R),
Simulink (R), VisSim, Comsol, ANSYS, and ANSYS Fluent modeling
software Although the projects in the text focus on industry
automation in electrical power engineering, the methods can be
applied in other industries, such as concrete and steel production
for real-time process identification, control, and optimization.
Decision Making Applications in Modern Power Systems presents an
enhanced decision-making framework for power systems. Designed as
an introduction to enhanced electricity system analysis using
decision-making tools, it provides an overview of the different
elements, levels and actors involved within an integrated framework
for decision-making in the power sector. In addition, it presents a
state-of-play on current energy systems, strategies, alternatives,
viewpoints and priorities in support of decision-making in the
electric power sector, including discussions of energy storage and
smart grids. As a practical training guide on theoretical
developments and the application of advanced methods for practical
electrical energy engineering problems, this reference is ideal for
use in establishing medium-term and long-term strategic plans for
the electric power and energy sectors.
Electric Power Systems Resiliency: Modelling, Opportunity and
Challenges considers current strengths and weaknesses of various
applications and provides engineers with different dimensions of
flexible applications to illustrate their use in the solution of
power system improvement. Detailing advanced methodologies to
improve resiliency and describing resilient-oriented power system
protection and control techniques, this reference offers a deep
study on the electrical power system through the lens of resiliency
that ultimately provides a flexible framework for cost-benefit
analysis to improve power system durability. Aimed at researchers
exploring the significance of smart monitoring, protecting and
controlling of power systems, this book is useful for those working
in the domain of power system control and protection (PSOP).
With distributed generation interconnection power flow becoming
bidirectional, culminating in network problems, smart grids aid in
electricity generation, transmission, substations, distribution and
consumption to achieve a system that is clean, safe (protected),
secure, reliable, efficient, and sustainable. This book illustrates
fault analysis, fuses, circuit breakers, instrument transformers,
relay technology, transmission lines protection setting using
DIGsILENT Power Factory. Intended audience is senior undergraduate
and graduate students, and researchers in power systems,
transmission and distribution, protection system broadly under
electrical engineering.
Escalating fossil fuel prices, growing energy demand and the
increase in concerns for the environment have led mankind to look
for alternate energy sources which are sustainable, benign and
cost-effective. Wind energy is one of the solutions and for it to
be marketable and technically feasible, proper wind resource
assessment is to be done. This work analyzes wind data for
Vadravadra village in Gau Island, Fiji, carries out financial
analysis and uses HOMER to determine the optimum hybrid
configuration for this site. It has been established for Vadravadra
that (i) the annual average wind speed is 6.18 m/s, (ii) for 68 %
of the time in a year the wind speed exceeds 5 m/s, (iii) highest
wind speed is recorded in June and July, (iv) optimum wind turbine
is Fuhrlaender 30 kW wind turbine (FL-30), and (v) estimated annual
energy yield from FL-30 wind turbine is 60000 kWh. From HOMER
simulations, it has been found for Vadravadra that when a wind
turbine alone is installed at the site then the cost of energy
(COE) is F$1.32/kWh and when a wind diesel hybrid system is
considered the COE is F$1.44/kWh.
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