A Fuzzy-Based Genetic Algorithm for Social Welfare Maximization by Placement and Sizing of Static Synchronous Series Compensator

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A Fuzzy-Based Genetic Algorithm for Social Welfare Maximization by Placement and Sizing of Static Synchronous Series Compensator

This article presents a fuzzy-based genetic algorithm to maximize total social welfare and alleviate congestion by placement and sizing of one static synchronous series compensator device, considering its investment cost in a double-sided auction market. The generating units cost curves are consider...

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Bibliographic Details
Main Authors:	Nabavi, S., Masoum, Mohammad Sherkat, Kazemi, A.
Format:	Journal Article
Published:	Taylor & Francis 2011
Online Access:	http://hdl.handle.net/20.500.11937/35022

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