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This book presents a wide range of optimization methods and their
applications to various electrical power system problems such as
economical load dispatch, demand supply management in microgrids,
levelized energy pricing, load frequency control and congestion
management, and reactive power management in radial distribution
systems. Problems related to electrical power systems are often
highly complex due to the massive dimensions, nonlinearity,
non-convexity and discontinuity associated with objective
functions. These systems also have a large number of equality and
inequality constraints, which give rise to optimization problems
that are difficult to solve using classical numerical methods. In
this regard, nature inspired optimization algorithms offer an
effective alternative, due to their ease of use, population-based
parallel search mechanism, non-dependence on the nature of the
problem, and ability to accommodate non-differentiable, non-convex
problems. The analytical model of nature inspired techniques mimics
the natural behaviors and intelligence of life forms. These
techniques are mainly based on evolution, swarm intelligence,
ecology, human intelligence and physical science.
This book presents a wide range of optimization methods and their
applications to various electrical power system problems such as
economical load dispatch, demand supply management in microgrids,
levelized energy pricing, load frequency control and congestion
management, and reactive power management in radial distribution
systems. Problems related to electrical power systems are often
highly complex due to the massive dimensions, nonlinearity,
non-convexity and discontinuity associated with objective
functions. These systems also have a large number of equality and
inequality constraints, which give rise to optimization problems
that are difficult to solve using classical numerical methods. In
this regard, nature inspired optimization algorithms offer an
effective alternative, due to their ease of use, population-based
parallel search mechanism, non-dependence on the nature of the
problem, and ability to accommodate non-differentiable, non-convex
problems. The analytical model of nature inspired techniques mimics
the natural behaviors and intelligence of life forms. These
techniques are mainly based on evolution, swarm intelligence,
ecology, human intelligence and physical science.
This book presents the outcome of two-day 2nd International
e-Conference on Sustainable and Innovative Solutions for Current
Challenges in Engineering and Technology (ICSISCET 2020) held at
Madhav Institute of Technology & Science (MITS), Gwalior,
India, from December 18-19, 2020. The book extensively covers
recent research in artificial intelligence (AI) that knit together
nature-inspired algorithms, evolutionary computing, fuzzy systems,
computational intelligence, machine learning, deep learning, etc.,
which is very useful while dealing with real problems due to their
model-free structure, learning ability, and flexible approach.
These techniques mimic human thinking and decision-making abilities
to produce systems that are intelligent, efficient, cost-effective,
and fast. The book provides a friendly and informative treatment of
the topics which makes this book an ideal reference for both
beginners and experienced researchers.
This book presents the outcome of two-day 2nd International
e-Conference on Sustainable and Innovative Solutions for Current
Challenges in Engineering and Technology (ICSISCET 2020) held at
Madhav Institute of Technology & Science (MITS), Gwalior,
India, from December 18-19, 2020. The book extensively covers
recent research in artificial intelligence (AI) that knit together
nature-inspired algorithms, evolutionary computing, fuzzy systems,
computational intelligence, machine learning, deep learning, etc.,
which is very useful while dealing with real problems due to their
model-free structure, learning ability, and flexible approach.
These techniques mimic human thinking and decision-making abilities
to produce systems that are intelligent, efficient, cost-effective,
and fast. The book provides a friendly and informative treatment of
the topics which makes this book an ideal reference for both
beginners and experienced researchers.
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