文件名称:01271048
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This paper presents neural networks based approach
for estimation of the control and operating parameters of Statcom
used for improving voltage profile in a power system, which is
emerging as a major problem in the day-to-day operation of
stressed power systems. Statcom is an important voltage source
converter FACTS device, which can be used in voltage control
mode or reactive power injection mode. For stable operation and
control of power systems it is essential to provide real time
solution to the operator in energy control centers. Artificial neural
networks are proposed here for this task, as they have ability to
synthesize complex mappings accurately and rapidly
for estimation of the control and operating parameters of Statcom
used for improving voltage profile in a power system, which is
emerging as a major problem in the day-to-day operation of
stressed power systems. Statcom is an important voltage source
converter FACTS device, which can be used in voltage control
mode or reactive power injection mode. For stable operation and
control of power systems it is essential to provide real time
solution to the operator in energy control centers. Artificial neural
networks are proposed here for this task, as they have ability to
synthesize complex mappings accurately and rapidly
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