NDLI: Evolutive algorithm to optimize the power flow in a network using series compensators

Content Provider	IEEE Xplore Digital Library
Author	Fernandez-Comesana, P. Doval-Gandoy, J. Diaz-Dorado, E. Alvira-Baeza, D.
Copyright Year	2009
Description	Author affiliation: Red Eléctrica de España, Spain (Alvira-Baeza, D.) \|\| Electric Engineering Department University of Vigo, Spain (Diaz-Dorado, E.) \|\| Electronics Technology Department, University of Vigo, Spain (Fernandez-Comesana, P.; Doval-Gandoy, J.)
Abstract	The actual lines have many operation problems like oscillations, a important reactive power flow in the lines… other kind of problems are the planification of the network (power of the generators, reactive power flow in the lines…) or the bad distribution of the power flow in the lines of the network, for example one line overloaded and the other lines below their nominal power, this case happens, for example, in a network when a line falls. Many techniques have been used to solve this second type of problems, actually techniques based in the evolution and natural selection (like genetic algorithms or evolutionary algorithms) are being used combined with electronic equipment. The FACTS are a good electronic equipment to be used in these problems, because the converter can stay in bypass until a line falls, in this moment the converter can be used to solve the problem. The line impedance can be changed using SSSC converters, because they can inject a voltage in quadrature with the line current, so the effect of the converter is a capacitive or a inductive reactance in series with the line impedance. This paper presents an evolutive algorithm that solves the problem of placing SSSC converters in a network to optimize the power flow across all the lines of those network, minimizing the total installed power. The number of converters to be placed and their power will be chosen by the algorithm too.
Starting Page	43
Ending Page	47
File Size	420579
Page Count	5
File Format	PDF
ISBN	9781424428557
DOI	10.1109/CPE.2009.5156011
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-20
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reactive power Costs Electronic equipment Power system transients Flexible AC transmission systems Evolutionary computation Impedance Voltage control Load flow Genetic algorithms
Content Type	Text
Resource Type	Article

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