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General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2011 Vol.1(3): 191-198 ISSN: 2010-3697
DOI: 10.7763/IJMO.2011.V1.34

Application of Modified Shuffled Frog Leaping Algorithm on Optimal Power Flow Incorporating Unified Power Flow Controller

Majid Nayeripour, Mohammad Rasoul Narimani, and Taher Niknam

Abstract—This paper proposes a robust and strong algorithm to solve Optimal Power Flow (OPF) with valve-point effect in power systems involving a Unified Power Flow Controller (UPFC). In a power system, installing the UPFC can improve power transfer capability, transient stability, and system reliability, reduce loss in the transmission network and the fuel cost of generators. In order to apply UPFC in OPF problem, a mathematical model needs to be set for it. In this paper a new model based on the Injection Power Model (IPM) is presented. Due to the nonlinearity of OPF problem, it is essential to use an exact and strong method to solve it. In recent years, evolutionary and heuristic advantages of algorithms in terms of the modeling capability and search power lead to their higher application in the complicate problem like OPF. This paper presents a modified shuffle frog-leaping algorithm (MSLFA) to solve the OPF problem. The MSFLA has a flexible and well balanced mechanism in order to enhance and adapt to global and local exploration abilities. Simulation results on the modified IEEE 30-bus and 5-bus test systems indicate that the proposed MSLFA algorithm approach can obtain better solutions than other optimization algorithms.

Index Terms—Evolutionary algorithm, FACTS devices, Optimal Power flow, SFLA , UPFC.

Authors are with the Shiraz University of Technology, Shiraz, Iran, (corresponding author to provide phone: +987117264103; fax: +987117353502; e-mail: nayeri@ sutech.ac.ir).

[PDF]

Cite: Majid Nayeripour, Mohammad Rasoul Narimani, and Taher Niknam, "Application of Modified Shuffled Frog Leaping Algorithm on Optimal Power Flow Incorporating Unified Power Flow Controller," International Journal of Modeling and Optimization vol. 1, no. 3, pp. 191-198, 2011.

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