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2016 | OriginalPaper | Buchkapitel

Harmony Search Algorithm Based Optimal Tuning of Interline Power Flow Controller for Congestion Management

verfasst von : Akanksha Mishra, G. V. Nagesh Kumar

Erschienen in: Computational Intelligence in Data Mining—Volume 2

Verlag: Springer India

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Abstract

With rapid increase in private power producers to meet the increasing power demand, results in the congestion problem. As the power transfer is increasing the operation of power systems is becoming difficult due to higher scheduled and unscheduled power flows. Interline Power Flow Converter (IPFC) is a most flexible device and effective in reducing the congestion problem. In this paper line utilization factor (LUF) is used for finding the best location to place the IPFC. The Harmony Search (HS) Algorithm is used for proper tuning of IPFC for a multi objective function which reduces active power loss, total voltage deviations, security margin and the capacity of installed IPFC of installed IPFC capacity. Simulation is carried out on IEEE-30 bus test system and the results are presented and analyzed to verify the proposed method.

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Titel: Harmony Search Algorithm Based Optimal Tuning of Interline Power Flow Controller for Congestion Management
verfasst von: Akanksha Mishra
G. V. Nagesh Kumar
Verlag: Springer India
Buch: Computational Intelligence in Data Mining—Volume 2
Print ISBN: 978-81-322-2729-8

Electronic ISBN: 978-81-322-2731-1

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-81-322-2731-1_16

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