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The Scientific World Journal
Volume 2015 (2015), Article ID 731013, 15 pages
http://dx.doi.org/10.1155/2015/731013
Research Article

A Heuristic Ranking Approach on Capacity Benefit Margin Determination Using Pareto-Based Evolutionary Programming Technique

1Committee of Research (CORE), Advanced Computing & Communication (ACC), Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
2Faculty of Electrical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
3Engineering Centre, University Malaysia Perlis, Kampus Kubang Gajah, 02600 Arau, Perlis, Malaysia
4Centre of Excellence in Power System Management and Control, Electrical Engineering Department, Sharif University of Technology, Tehran 11365-11155, Iran
5Department of Energy Engineering, Sharif University of Technology, Tehran 11365-11155, Iran

Received 6 May 2014; Accepted 15 September 2014

Academic Editor: Shifei Ding

Copyright © 2015 Muhammad Murtadha Othman et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.