Research on Intelligent Control Technology of Reactive Power Compensation
نویسندگان
چکیده
منابع مشابه
Connectionist Models for Intelligent Reactive Power Control
In this paper, we demonstrate the usage of connectionist networks for intelligent prediction of power factor and efficient utilization of power. We propose two neuro-fuzzy networks and artificial neural networks using various learning techniques. The proposed connectionist networks are trained with the plant load current and a highly fluctuated voltage for online prediction of power factor. For...
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This paper presents a new control method for simultaneous compensation of instantaneous reactive power and current harmonics by parallel active filters (PAFs). Reference compensating currents of PAF are calculated using the subtraction of instantaneous power from its average value. In this way, it is possible omitting high/low pass filter(s) from the control circuit of PAF, which usually result...
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345 Abstract—In this paper Static Synchronous Compensator (STATCOM) is used for voltage stability and the compensation of reactive power. The STATCOM contains an Insulated Gate Bipolar Transistor (IGBT) based voltage source converter for voltage control and reactive power compensation. The STATCOM is used to control the reactive power with the voltage source converter in combination with a DC v...
متن کاملCoordinated control ULTC power transformer with STATCOM for Voltage Control and Reactive Power Compensation
The static synchronous compensator (STATCOM) is one type of FACTS devices which resembles in many respects a rotating synchronous condenser used for voltage control and reactive power compensation. The STATCOM can increase transmission capacity, damping low frequency oscillation, and improving voltage stability. This paper presents a control block diagram of STATCOM for the voltage stability im...
متن کاملNeuro-Fuzzy Systems for Intelligent Reactive Power Control
In this paper, we present a neuro-fuzzy model for intelligent reactive power control and efficient utilization of power. The proposed neuro-fuzzy model will assist the conventional power control systems with added intelligence. For on-line control, voltage and current are fed into the network after preprocessing and standardization. The model was trained with a 24-hour load demand pattern and p...
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ژورنال
عنوان ژورنال: DEStech Transactions on Engineering and Technology Research
سال: 2016
ISSN: 2475-885X
DOI: 10.12783/dtetr/icvme2016/4860