Comparison of GA & PSO in UPFC in A 39 Bus Network
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064


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M.Tech / M.E / PhD Thesis | Electrical Engineering | India | Volume 4 Issue 4, April 2015

Comparison of GA & PSO in UPFC in A 39 Bus Network

R. Revathi, J. Shervy Haeden

In this Paper, the IEEE39 bus system is taken with problem parameters voltage stability, position of placing UPFC and the angle of series voltage injection. These parameters are determined with reference to IEEE39 bus values and power flow calculations are done in MATLAB. Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) is done to find the best position maximum stability and series injection and the best optimization among the both is compared.

Keywords: UPFC- Unified Power Flow Controller, FACTS Flexible Ac Transmission System, Particle swarm optimization PSO, Global best, Fitness function, Fitness value, Local best, Particle, Reactive power, Voltage injection, SSSC- Static Synchronous Series Compensator, STATCOM- Static Compensator

Edition: Volume 4 Issue 4, April 2015

Pages: 3313 - 3316

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How to Cite this Article?

R. Revathi, J. Shervy Haeden, "Comparison of GA & PSO in UPFC in A 39 Bus Network", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=29041509, Volume 4 Issue 4, April 2015, 3313 - 3316

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