NDLI: Fuzzy unit commitment using the Ant Colony Search Algorithm

Content Provider	IEEE Xplore Digital Library
Author	El-Sharkh, M.Y. Sisworahardjo, N.S. El-Keib, A.A. Rahman, A.
Copyright Year	2010
Description	Author affiliation: Department of Electrical of Computer Engineering, University of South Alabama, Mobile, USA 36688-0002 (El-Sharkh, M.Y.; Sisworahardjo, N.S.; Rahman, A.) \|\| Department. of Electrical Engineering, the Petroleum Institute, Abu Dhabi, United Arab Emirates (El-Keib, A.A.)
Abstract	Solving the deterministic unit commitment (UC) model may yield the optimal commitment for each unit for a certain condition of the power system. Changing the system condition due to a sudden change or uncertainties may render the obtained solution infeasible or inapplicable to the system under study. This paper presents a fuzzy model to handle uncertainties associated with the UC problem and introduces a methodology based on the Ant Colony Search Algorithm (ACSA) to find a near-optimal solution to the problem. The ACSA is a meta-heuristic technique for solving hard combinatorial optimization problems, a class of problems which the UC problem belongs to. The ACSA was inspired by the behavior of real ants that are capable of finding the shortest path from food sources to the nest without using visual cues. The proposed approach uses a fuzzy comparison technique and generates a fuzzy range of the cost that reflects problem uncertainties. Test results on a 10-unit system demonstrate the viability of the proposed technique to solve the UC problem considering uncertainties.
Starting Page	1
Ending Page	6
File Size	640218
Page Count	6
File Format	PDF
ISBN	9781424481866
e-ISBN	9781424481880
DOI	10.1109/EPEC.2010.5697256
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-25
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	meta-heuristic ant colony search algorithm Uncertainty unit commitment Fuzzy modeling Production Programming Generators Fuels distributed cooperative agents Optimization Load modeling
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

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