Generation of voltage references using Multilayer Feed Forward Neural Network

• Autorzy: Dehini R. , Bassou A. , Chellali B.

Warianty tytułu

PL

Sterowanie wytwarzaniem napięcia kompensującego zapady napięcia z wykorzystaniem sztucznych sieci neuronowych

• Języki publikacji: EN

Abstrakty

EN

Among the dynamic voltage restorer (DVR) objectives, the protection of sensitive loads against voltage swell/sag voltage, as well as correction of unbalanced problems. The DVR acts as a voltage source, which is connected in series with a sensitive load and controlled to generate the required compensation voltages. Many researches were presented in literature to identify the voltage disturbance; one of them is Synchronous Reference Frame (SRF) method. This paper provides a DVR with identification method based on artificial neural network - the (MLFFN) Multilayer Feed Forward Neural Network. To investigate this novel method performance, it is confronted with the conventional (SRF) method. All of the studies have been carried out using the simulation with the MATLAB Simulink Power System Toolbox. The results of simulation study of new DVR detecting method presented in this paper are found quite satisfactory to eliminate the voltage disturbance from utility voltage.

PL

Przedstawiono dynamiczny układ przywracania napięcia DVR jako zabezpieczenie przeciw zapadom napięcia. Układ działa jako źródło napięcia połączone w szereg z obciążeniem. W artykule opisano metodę identyfikacji wykorzystującą sztuczne sieci neuronowe. Przedstawiono też symulacje systemu.

Słowa kluczowe

EN

DVR; power quality; voltage sag; voltage swell; MLFFN; SRF

PL

jakość energii; zapady napięcia; napięcie referencyjne

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 4a
• Strony: 289--292
• Opis fizyczny: Bibliogr. 10 poz., rys., tab., wykr.

Twórcy

autor

Dehini R.

autor

Bassou A.

autor

Chellali B.

• University (center) of Relizane , ALGERIA

Bibliografia

• [1]. N. S. Sakthivel Murugan, A. Nirmalkumar , T. Vijayakumar, 2009.Implementation of H Bridge Inverter Based DVR Using Atmel 89c2051. International Journal of Computer and Electrical Engineering, 1(4),pp: 443-448.
• [2]. S.Deepa,S.Rajapandian,2010.Voltage Sag Mitigation Using Dynamic Voltage Restorer System.International Journal of Computer and Electrical Engineering, 2(5): 821-825.
• [3]. A.Ramasamy, V.K.Ramachandaramurthy, R.K. Iyer, L.Z. Liu, 2007. Control of Dynamic Voltage Restorer using TMS320F2812.9th international conference.electrical power quality and utilization,Barcelona,9-11 october,pp: 1 – 6.
• [4]. Y.Yun,l. W.Bu,h.Z.Cheng,x. Mao , 2009. Modeling and simulation of Dynamic Voltage Restorer based on super capacitor energy storage. International Conference on Electrical Machines and Systems, Wuhan, 17-20 Oct,pp: 2064 - 2066.
• [5]. H.Ezoji, A. Sheikholeslami, A.G.samani, M.Fazlali1, M.Rezanezhad, 2009. A New Control Method for Dynamic Voltage Restorer with Asymmetrical Inverter Legs Based on Fuzzy Logic Controller.24th International power Systems Conference (PSC2010) ,Tehran, 8 - 10 Nov. 2010,pp: 1-10.
• [6]. M. Ahmed, 2004.Sliding Mode Control For Switched Mode Power Supplies’, Doctor of Science Thesis, Lappeenranta University of Technology, Finland.
• [7]. R.Dehini, A.Bassou, Brahim.Ferdi, 2009.Artificial Neural Networks Application to Improve Shunt Active Power Filter.International Journal of Computer and Information Engineering (IJCIE).3(4),pp: 247-254.
• [8]. C.Benachaiba, B.Ferdi, 2008. Voltage Quality Improvement Using DVR. Electrical Power Quality and Utilisation, Journal. XIV (1), pp: 39-46.
• [9]. W.Danesh, N. Muktadir, S.Bhowmick, S.Alam, 2011. A Review of Neural Networking Methodology to Different Aspects of Electrical Power Systems. International Journal of Science and Advanced Technology.1 ( 1) ,pp:1-7.
• [10]. M.V Rajesh, R.Archana, A.Unnikrishnan, R. Gopikakumari, Jeevamma Jacob,2008. Evaluation of the ANN Based Nonlinear System Models in the MSE and CRLB Senses. World Academy of Science, Engineering and Technology.48(34),pp:211-215