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Interval Methods for Uncertain Power System Analysis In Interval
Methods for Uncertain Power System Analysis, accomplished engineer
Dr. Alfredo Vaccaro delivers a comprehensive discussion of the
mathematical foundations of range analysis and its application to
solving traditional power system operation problems in the presence
of strong and correlated uncertainties. The book explores highly
relevant topics in the area, from interval methods for uncertainty
representation and management to a variety of application examples.
The author offers readers the latest methodological breakthroughs
and roadmaps to implementing the mathematics discussed within, as
well as best practices commonly employed across the industry.
Interval Methods for Uncertain Power System Analysis includes
examinations of linear and non-linear equations, as well as: A
thorough introduction to reliable computing, including discussions
of interval arithmetic and interval-based operators Comprehensive
explorations of uncertain power flow analysis, including
discussions of problem formulation and sources of uncertainty in
power flow analysis In-depth examinations of uncertain optimal
power flow analysis Fulsome discussions of uncertain small signal
stability analysis, including treatments of how to compute
eigenvalues of uncertain matrices Perfect for engineers working in
power flow and optimal power flow analyses, optimization theory,
and computer aided simulation, Interval Methods for Uncertain Power
System Analysis will also earn a place in the libraries of
researchers and graduate students studying decision making under
uncertainty in power systems operation.
This book presents best selected papers presented at the
International Conference on Advances in Energy Technology (ICAET
2020) organized by Gandhi Institute for Education and Technology
(GIET), Bhubaneswar, India, during 17-18 January 2020. The
proceeding targets the current research works that may lead to
sustainable development of new products and techniques. Carefully
reviewed works from the submission are selected to include in the
book. It is broadly having four divisions based on the tracks -
energy systems, energy technology, green technology, and renewal
energy. Emphasis is mainly given on inclusion of original research
works within the scope.
Electrical grids are, in general, among the most reliable systems
in the world. These large interconnected systems, however, are
subject to a host of challenges - aging infrastructure,
transmission expansion to meet growing demand, distributed
resources, and congestion management, among others. Innovations in
Power Systems Reliability aims to provide a vision for a
comprehensive and systematic approach to meet the challenges of
modern power systems. Innovations in Power Systems Reliability is
focused on the emerging technologies and methodologies for the
enhancement of electrical power systems reliability. It addresses
many relevant topics in this area, ranging from methods for
balancing resources to various reliability and security aspects.
Innovations in Power Systems Reliability not only discusses
technological breakthroughs and sets out roadmaps in implementing
the technology, but it also informs the reader about current best
practice. It is a valuable source of information for academic
researchers, as well as those working in industrial research and
development.
Electrical power systems are, in general, amongst the most
reliable systems worldwide. These large interconnected systems,
however, often operate under stressed conditions because of the
increasing demand for electricity and the challenges associated
with improving the infrastructure due to both economical and
environmental issues. Some of the major challenges facing the
electricity industry today include balancing between resource
adequacy, reliability, economics, environmental and other public
purpose objectives to optimize transmission and distribution
resources to meet the growing demand. The capability of a power
system depends on network constraints, generated power, line
currents, nodal voltage amplitudes, and stability margins. If
modern or enhanced facilities are not affordable, a renewed effort
in assessing and rationalizing the exploitation of the system
capability is highly recommended.
Solutions to these complex issues are offered through the
integration of modern information and communication technologies
with reliable methodologies for power systems analysis. The goal of
this book is to provide a vision for a comprehensive and systematic
approach to meet the grid management challenges through new
information services.
Affine Arithmetic-Based Methods for Uncertain Power System Analysis
presents the unique properties and representative applications of
Affine Arithmetic in power systems analysis, particularly as they
are deployed for reliability optimization. The work provides a
comprehensive foundation in Affine Arithmetic necessary to
understand the central computing paradigms that can be adopted for
uncertain power flow and optimal power flow analyses. These
paradigms are adapted and applied to case studies, which integrate
benchmark test systems and full step-by-step procedure for
implementation so that readers are able to replicate and modify.
The work is presented with illustrative numerical examples and
MATLAB computations.
This book presents new technologies and applications in deep
learning, artificial intelligence and robotics. The field of
machine intelligence (MI), unifying robotics and artificial
intelligence is experiencing constant growth and change. The
challenge to reproduce human behavior in machines requires the
interaction of many fields, from engineering to mathematics, from
neurology to biology, from computer science to robotics, from web
search to social networks, from machine learning to game theory,
etc. This book Progresses in Artificial Intelligence & Robotics
: Algorithms & Applications (proceedings of 3rd International
Conference on Deep Learning, Artificial Intelligence and Robotics
(ICDLAIR) 2021 ) introduces key topics from artificial intelligence
algorithms and programming organization and explains how they
contribute to autonomous capabilities. The book is primarily
intended for researchers, students, and engineers who wish to use
the applications of artificial intelligence to solve concrete
problems. We hope that companies and technology developers also
find it interesting to be used in industry.
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Advances in Deep Learning, Artificial Intelligence and Robotics - Proceedings of the 2nd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2020 (Paperback, 1st ed. 2022)
Luigi Troiano, Alfredo Vaccaro, Roberto Tagliaferri, Nishtha Kesswani, Irene Diaz Rodriguez, …
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This book of Advances in Deep Learning, Artificial Intelligence and
Robotics (proceedings of ICDLAIR 2020) is intended to be used as a
reference by students and researchers who collect scientific and
technical contributions with respect to models, tools, technologies
and applications in the field of modern artificial intelligence and
robotics. Deep Learning, AI and robotics represent key ingredients
for the 4th Industrial Revolution. Their extensive application is
dramatically changing products and services, with a large impact on
labour, economy and society at all. The research and reports of new
technologies and applications in DL, AI and robotics like biometric
recognition systems, medical diagnosis, industries,
telecommunications, AI petri nets model-based diagnosis, gaming,
stock trading, intelligent aerospace systems, robot control and web
intelligence aim to bridge the gap between these non-coherent
disciplines of knowledge and fosters unified development in
next-generation computational models for machine intelligence.
Wide area monitoring, protection and control systems (WAMPACs) have
been recognized as the most promising enabling technologies to meet
challenges of modern electric power transmission systems, where
reliability, economics, environmental and other social objectives
must be balanced to optimize the grid assets and satisfy growing
electrical demand. To this aim WAMPAC requires precise phasor and
frequency information, which are acquired by deploying multiple
time synchronized sensors, known as Phasor Measurement Units
(PMUs), providing precise synchronized information about voltage
and current phasors, frequency and rate-of-change-of-frequency.
This book provides an overview of this emerging technology. Topics
covered include an introduction to WAMPACs; reliability-based
substation monitoring systems placement; system integrity
protection scheme based on PMU technology; new methodologies for
large scale power system dynamic analysis; a fuzzy-based knowledge
discovery paradigm for on-line optimal power flow analysis; and
false data injection attacks and countermeasures for wide area
measurement system.
This book considers the emerging technologies and methodologies of
the application of computational intelligence to smart grids.From a
conceptual point of view, the smart grid is the convergence of
information and operational technologies applied to the electric
grid, allowing sustainable options to customers and improved levels
of security. Smart grid technologies include advanced sensing
systems, two-way high-speed communications, monitoring and
enterprise analysis software, and related services used to obtain
location-specific and real-time actionable data for the provision
of enhanced services for both system operators (i.e. distribution
automation, asset management, advanced metering infrastructure) and
end-users (i.e. demand side management, demand response).In this
context, a crucial issue is how to support the evolution of
existing electrical grids from static hierarchal systems to
self-organizing, highly scalable and pervasive networks. Modern
trends are oriented toward the employment of computational
intelligence techniques for deploying advanced control, protection
and monitoring architectures that move away from the older
centralized paradigm to systems distributed across the field with
an increasing pervasion of intelligence devices. The large-scale
deployment of computational intelligence technologies in smart
grids could lead to a more efficient tasks distribution amongst
energy resources and, consequently, to a sensible improvement of
the electrical grid flexibility.
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