Genetic Algorithm Based Congestion Management by Using Optimum Power Flow Technique to Incorporate Facts Devices in Deregulated Environment
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چکیده
منابع مشابه
Congestion Management using Genetic Algorithm in Deregulated Power Environments
Congestion cost allocation is an important issue in congestion management. This paper presents a genetic algorithm (GA) to determine the optimal generation levels in a deregulated market. The main issue is congestion in lines, which limits transfer capability of a system with available generation capacity. Nodal pricing method is used to determine locational marginal price (LMP) of each generat...
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Congestion in the transmission lines is one of the technical problems that appear particularly in the deregulated environment. There are two types of congestion management methodologies to relieve it. One is non-cost free methods and another is cost-free methods, among them later method relieves the congestion technically whereas the former is related with the economics. In this paper congestio...
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Flexible AC Transmission Systems (FACTS) devices have shown satisfactory performance in alleviating the problems of electrical transmission systems. Optimal FACTS allocation problem, which includes finding optimal type and location of these devices, have been widely studied by researchers for improving variety of power system technical parameters. In this paper, a DIgSILENT-based Discrete Parti...
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ژورنال
عنوان ژورنال: IJIREEICE
سال: 2014
ISSN: 2321-2004
DOI: 10.17148/ijireeice.2014.21206