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Static VAr compensation system for industries

Power Quality '98, 2002
Industrial power supply networks today are polluted by various loads connected to them and their method of control. Consumers are required to meet the stringent requirements imposed by electric utility authorities at the supply network. Hence, it is very much essential for industrial plants to have a static VAr compensator (SVC) for both reactive volt ...
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Self‐tuning control of static var compensators

Electrical Engineering in Japan, 1989
On elabore un modele de perturbation d'energie reactive a partir d'un four a arc comme charge d'une alimentation alternative triphasee. Pour cela on realise des simulations analogiques a l'aide d'une structure de commande d'allumage du type retroaction, comprenant une inductance commandee par thyristor.
Yoshiki Matsuo   +3 more
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Decentralized robust adaptive neural dynamic surface control for multi‐machine excitation systems with static var compensator

International Journal of Adaptive Control and Signal Processing, 2018
Focusing on solving the control problem of the multimachine excitation systems with static var compensator (SVC), this paper proposes a decentralized neural adaptive dynamic surface control (DNADSC) scheme, where the radial basis function neural networks
Xiuyu Zhang   +5 more
semanticscholar   +1 more source

Static VAR compensator using recurrent neural network

Electrical Engineering, 2013
In this paper, an internal model control recurrent neural network method is used to control the switching of thyristor-controlled reactor in a static VAR compensator (SVC) system for regulating the voltage. The novel controller scheme contains several feedback loops instead of only a feed-forward loop as in the conventional recurrent neural network ...
Rahmani, R.   +3 more
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Modelling a static VAr compensator using EMPT

38th Midwest Symposium on Circuits and Systems. Proceedings, 2002
A digital simulation of a static VAr compensator (SVC) using a thyristor controlled reactor (TCR) and fixed capacitor (FC) is presented. This configuration is widely used in power system applications. The model is tested under EMTP (ATP version).
A.C.S. de Lima   +2 more
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A Guided Evolutionary Strategy Based-Static Var Compensator Control Approach for Interarea Oscillation Damping

IEEE Transactions on Industrial Informatics, 2023
Renke Huang   +3 more
semanticscholar   +1 more source

A novel concept for static VAR compensators

2013 IEEE 8th International Conference on Industrial and Information Systems, 2013
A new configuration to replace the Thyristor Controlled Reactor (TCR) of a Static VAR Compensator (SVC) by a DC link voltage controlled inductor is proposed in this paper. In this proposed technique, the reactor current contribution is regulated by controlling the peak current through the reactor which conducts for a complete cycle. This is in-contrast
R. M. R. Tharaka   +5 more
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New Approach for Thyristors Switched Capacitors Design for Static VAR Compensator Systems

Educational Data Mining, 2018
This paper provides new circuit approach of thyristors switched capacitors TSC design. This approach develops the existed topologies of TCS by increasing the capacitive reactive power levels with the same number of capacitive units.
D. I. Panfilov   +3 more
semanticscholar   +1 more source

Laboratory realization of a Static VAr compensator

2013 International Conference-Workshop Compatibility And Power Electronics, 2013
In a low voltage distribution network, wisely applied local reactive power generation can improve voltage profiles and reduce loses related with the energy transmission. This paper deals with the laboratory realization of a Static VAr compensator (STATCOM) suitable for adjustable local reactive power generation. In the case study, the basic design of a
Jernej Cernelic, Gorazd Stumberger
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Static VAr compensator with neural network control

1999 IEEE Transmission and Distribution Conference (Cat. No. 99CH36333), 1999
Artificial neural networks (ANNs) have been used in many applications of pattern classification, speech synthesis and recognition, function approximation, associative memory and control. Because of their adaptive nature and parallel computational features, they are promising a lot of hope for future of engineering.
B. Mumyakmaz   +3 more
openaire   +1 more source

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