NDLI: Swarm Intelligence to the Solution of Profit-Based Unit Commitment Problem with Emission Limitations

Content Provider	Springer Nature Link
Author	Harison, D. Sam Sreerengaraja, T.
Copyright Year	2013
Abstract	As the electrical industry restructures, many of the traditional algorithms for controlling generating units need modification or replacement. In the past, utilities had to produce power to satisfy their customers with objectives to minimize costs, and all demand/reserve was met. However, it is not necessary in restructured system. In the restructured environment, generation companies (GENCOS) schedule their generators with objective to maximize their own profit without regard for system social benefits. This leads to profit based unit commitment (PBUC) problem. One of the main contributions to the emission of greenhouse gases into the atmosphere, which is thought to be responsible on our environment, is through the use of fossil-fuelled power plants. As a consequence of growing environmental concern, governments are acting in the way to regulate greenhouse gas emission. A major step in this direction is the Kyoto Protocol, which is with the objective of “stabilization and reconstruction of greenhouse gas concentrations in the atmosphere at a level that would prevent dangerous anthropogenic interference with the climate system”. However, the recent advent of emission allowance trading has renewed interest in the environmentally constrained UC problem. In the new emission-constrained competitive environment, a GENCO with thermoelectric facilities faces the optimal trade-off problem of how to make the present profit by the management of the energy available in fossil fuels for power generation without excessive emission. Since maximizing profit and minimizing emission are conflicting objectives, a swarm intelligence approach is proposed in this paper to obtain compromised solutions. The binary particle swarm optimization is used to solve the PBUC problem and real-valued particle swarm optimization (RPSO) is used to solve the economic load dispatch which is a sub problem of PBUC. A six generating unit system and a eleven generating unit system have been taken, and the proposed algorithm is applied to solve it for the PBUC with emission limitations. From the comparison of results, the ability of the proposed algorithm is demonstrated in the aspects of solution quality and computational efficiency.
Starting Page	1415
Ending Page	1425
Page Count	11
File Format	PDF
ISSN	13198025
Journal	Arabian Journal for Science and Engineering
Volume Number	38
Issue Number	6
e-ISSN	21914281
Language	English
Publisher	Springer-Verlag
Publisher Date	2013-02-15
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Swarm intelligence Profit based unit commitment Emission limitations Particle swarm optimization Engineering Science
Content Type	Text
Resource Type	Article

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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
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