NDLI: Bacteria Foraging Optimization Based Bidding Strategy Under Transmission Congestion

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Bacteria Foraging Optimization Based Bidding Strategy Under Transmission Congestion

Content Provider	IEEE Xplore Digital Library
Author	Jain, A.K. Srivastava, S.C. Singh, S.N. Srivastava, L.
Copyright Year	2007
Abstract	This paper presents a methodology for an optimal bidding strategy of a supplier considering congestion influence and rivals' bidding behavior. Market splitting methodology, which is being used in Nord Pool as well as in the Indian electricity market, has been utilized to manage the congestion. Monte Carlo simulation (MCS) has been used to predict the bidding behavior of the rivals. In this paper, a bi-level optimization problem has been proposed to obtain the optimal bidding strategy of a supplier considering double-sided bidding. Lower level problem represents the market clearing process of the system operator (SO) and the upper level optimization problem represents the supplier's profit maximization function, which is a non-linear function. Bacteria foraging optimization (BFO) algorithm, a modern heuristic approach, has been used to obtain the global solution of the proposed bi-level optimization problem. The effectiveness of the proposed in method has been tested on a five-bus system and modified IEEE-30 bus system. Results obtained using the BFO algorithm have been compared with those obtained using a genetic algorithm (GA) based approach.
Sponsorship	IEEE Systems Council
Starting Page	141
Ending Page	151
Page Count	11
File Size	1455551
File Format	PDF
ISSN	19328184
Volume Number	9
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	optimal bidding strategy Bacteria foraging optimization (BFO) algorithm bi-level optimization problem congestion management Monte Carlo simulation (MCS)
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Control and Systems Engineering Information Systems Electrical and Electronic Engineering Computer Science Applications

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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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