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  5. A heuristic ranking approach on capacity benefit margin determination using pareto-based evolutionary programming technique
 
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A heuristic ranking approach on capacity benefit margin determination using pareto-based evolutionary programming technique

Journal
The Scientific World Journal
ISSN
2356-6140
1537-744X
Date Issued
2015
Author(s)
Muhammad Murtadha Othman
Universiti Teknologi MARA
Nurulazmi Abd. Rahman
Universiti Malaysia Perlis
Ismail Musirin
Universiti Teknologi MARA
Mahmud Fotuhi-Firuzabad
Sharif University of Technology
Abbas Rajabi-Ghahnavieh
Sharif University of Technology
DOI
10.1155/2015/731013
Handle (URI)
https://www.hindawi.com/journals/tswj/
https://www.hindawi.com/journals/tswj/2015/731013/
https://hdl.handle.net/20.500.14170/2604
Abstract
This paper introduces a novel multiobjective approach for capacity benefit margin (CBM) assessment taking into account tie-line reliability of interconnected systems. CBM is the imperative information utilized as a reference by the load-serving entities (LSE) to estimate a certain margin of transfer capability so that a reliable access to generation through interconnected system could be attained. A new Pareto-based evolutionary programming (EP) technique is used to perform a simultaneous determination of CBM for all areas of the interconnected system. The selection of CBM at the Pareto optimal front is proposed to be performed by referring to a heuristic ranking index that takes into account system loss of load expectation (LOLE) in various conditions. Eventually, the power transfer based available transfer capability (ATC) is determined by considering the firm and nonfirm transfers of CBM. A comprehensive set of numerical studies are conducted on the modified IEEE-RTS79 and the performance of the proposed method is numerically investigated in detail. The main advantage of the proposed technique is in terms of flexibility offered to an independent system operator in selecting an appropriate solution of CBM simultaneously for all areas.
File(s)
A Heuristic Ranking Approach on Capacity Benefit.pdf (1.79 MB)
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Nov 19, 2024
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