NDLI: Novel constrained search-tactic for optimal dynamic economic dispatch using modern meta-heuristic optimization algorithms

Content Provider	IEEE Xplore Digital Library
Author	Abu-Mouti, F.S. El-Hawary, M.E.
Copyright Year	2011
Description	Author affiliation: Department of Electrical and Computer Engineering, Dalhousie University, Halifax, NS, B3J 1Z1, Canada (Abu-Mouti, F.S.; El-Hawary, M.E.)
Abstract	Meta-heuristic optimization algorithms have gained popularity in solving complex, constrained optimization problems. The dynamic economic dispatch (DED) problem represents an example of such complex, constrained optimization problems. The aim of DED is to operate online units economically to meet the load demand, subjected to satisfying highly nonlinear and non-convex practical constraints. Therefore, it is possible that computational methods may not yield a global extremum as many local extrema may be encountered. This paper presents a novel constrained search-tactic to solve the DED problem. Two recently introduced meta-heuristic techniques, namely sensory-deprived optimization algorithm (SDOA) and artificial bee colony (ABC) algorithm, are adopted to evaluate the performance of the proposed constraint search-tactic. Two test systems are used to reveal the effectiveness of the offered tactic which successfully accelerates the employed algorithms' performance toward the optimal feasible region. After comparing the results, the outcomes when integrating the constrained search-tactic either outperformed or matched those obtained using other well-known methods.
Starting Page	170
Ending Page	175
File Size	1000672
Page Count	6
File Format	PDF
ISBN	9781457704055
e-ISBN	9781457704048
DOI	10.1109/EPEC.2011.6070189
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-03
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Economics Heuristic algorithms Dynamic Economic Dispatch (DED) Constrained Search-Tactic Artificial Bee Colony (ABC) Algorithm Search problems Fuels Sensory-Deprived Optimization Algorithm (SDOA) Optimization Power generation
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in