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General Information
    • ISSN: 1793-8236 (Online)
    • Abbreviated Title Int. J. Eng. Technol.
    • Frequency:  Quarterly 
    • DOI: 10.7763/IJET
    • APC: 500 USD
    • Managing Editor: Ms. Jennifer Zeng
    • Abstracting/ Indexing: Inspec (IET), CNKI Google Scholar, EBSCO, ProQuest, Crossref, Ulrich Periodicals Directory, Chemical Abstracts Services (CAS), etc.
    • E-mail: ijet_Editor@126.com
IJET 2009 Vol.1(5): 387-390 ISSN: 1793-8236
DOI: 10.7763/IJET.2009.V1.73

Optimal Sizing and Sitting of Distributed Generation for Power System Transient Stability Enhancement Using Genetic Algorithm

A. Rezazadeh, M. Sedighizadeh, and A. Alavian

Abstract—Distributed Generation (DG) is the use of small generating sets connected to the grid or feeding power islands, based on technologies such as internal combustion engines, small and micro turbines, fuel cell, photo voltaic and wind plants. Driven by increasing environmental concerns and increasing amount of new generation technologies, it is expected that many new generation technologies, including renewable generation, will be connected to electrical power system in the near future, therefore stability condition changes shall be studied to improve overall power system operation. In this paper the impact of DG on power system transient stability is investigated by genetic algorithm method. It is observed that both size and location of DG technologies will influence network stability. The fitness evaluation function that drives the GA to the solution is an integral of rotor angle oscillations versus time.

Index Terms—Distributed Generation (DG), Power system stability, Genetic Algorithm (GA), Rotor angle oscillation.

Faculty of Electrical and Computer Engineering, Shahid Beheshti University, G. C. , Evin, 1983963113, Tehran, Iran
Faculty of Engineering and Technology, Imam Khomeini International University, Ghazvin, 34194, Iran (Email: m_sedighi@sbu.ac.ir).


Cite: A. Rezazadeh, M. Sedighizadeh and A. Alavian, "Optimal Sizing and Sitting of Distributed Generation for Power System Transient Stability Enhancement Using Genetic Algorithm," International Journal of Engineering and Technology vol. 1, no. 5, pp. 387-390, 2009.

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