Nature Inspired Optimization for Electrical Power System (Record no. 75560)

000 -LEADER
fixed length control field 04151nam a22006015i 4500
001 - CONTROL NUMBER
control field 978-981-15-4004-2
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801213745.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200407s2020 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789811540042
-- 978-981-15-4004-2
082 04 - CLASSIFICATION NUMBER
Call Number 621.3
245 10 - TITLE STATEMENT
Title Nature Inspired Optimization for Electrical Power System
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2020.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIV, 129 p. 49 illus., 35 illus. in color.
490 1# - SERIES STATEMENT
Series statement Algorithms for Intelligent Systems,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Teaching Learning Based Optimization for Static and Dynamic Load Dispatch -- Application of Elitist Teacher Learner Based Optimization Algorithm for Congestion Management -- PSO Based Optimization of Levelized Cost of Energy for Hybrid Renewable Energy System -- PSO Based PID Controller Designing for LFC of Single Area Electrical Power Network -- Combined Economic Emission Dispatch of Hybrid Thermal-PV System Using Artificial Bee Colony Optimization -- Dynamic Scheduling of Energy Resources in Microgrid Using Grey Wolf Optimization -- Short-Term Hydrothermal Scheduling Using Bio- Inspired Computing: A Review.
520 ## - SUMMARY, ETC.
Summary, etc 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. .
700 1# - AUTHOR 2
Author 2 Pandit, Manjaree.
700 1# - AUTHOR 2
Author 2 Dubey, Hari Mohan.
700 1# - AUTHOR 2
Author 2 Bansal, Jagdish Chand.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-981-15-4004-2
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Singapore :
-- Springer Nature Singapore :
-- Imprint: Springer,
-- 2020.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electric power production.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematical optimization.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical and Electronic Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical Power Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mechanical Power Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Optimization.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2524-7573
912 ## -
-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

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