Modified simulated annealing technique based Optimal Power Flow with FACTS devices. (1st January 2012)
- Record Type:
- Journal Article
- Title:
- Modified simulated annealing technique based Optimal Power Flow with FACTS devices. (1st January 2012)
- Main Title:
- Modified simulated annealing technique based Optimal Power Flow with FACTS devices
- Authors:
- Majumdar, Subrata
Chakraborty, Ajoy Kumar
Chattopadhyay, P.K.
Bhattacharjee, Tulika - Abstract:
- Simulated annealing is a probabilistic method for finding the global minimum of a cost function that may possess several local minima. In this paper, a Modified Simulated Annealing (MSA) technique is proposed to minimise the generation cost in Optimal Power Flow (OPF) control with Flexible AC Transmission Systems (FACTS) devices. The main goal of this paper is to verify the validity of using MSA to solve the OPF problem simultaneously composed by the load flow and the economic dispatch problem. A six bus system is used to highlight the goodness of the solution technique.
- Is Part Of:
- International journal of artificial intelligence and soft computing. Volume 3:Number 1(2012)
- Journal:
- International journal of artificial intelligence and soft computing
- Issue:
- Volume 3:Number 1(2012)
- Issue Display:
- Volume 3, Issue 1 (2012)
- Year:
- 2012
- Volume:
- 3
- Issue:
- 1
- Issue Sort Value:
- 2012-0003-0001-0000
- Page Start:
- 81
- Page End:
- 93
- Publication Date:
- 2012-01-01
- Subjects:
- simulated annealing -- MSA -- modified simulated annealing -- OPF -- optimal power flow -- FACTS -- flexible ac transmission systems
Artificial intelligence -- Periodicals
Soft computing -- Periodicals
006.305 - Journal URLs:
- http://inderscience.metapress.com/content/121275 ↗
http://www.inderscience.com/ ↗ - Languages:
- English
- ISSNs:
- 1755-4950
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8138.xml