Enhancing power quality of ANN controller based PhotoVoltaic source injected DVR

  • Authors

    • T Ramesh
    • S K. Mayurinathan
    • R Saravanan
    • G Emayavaramban
    2018-05-29
    https://doi.org/10.14419/ijet.v7i2.31.13430
  • DVR, sag, swell, ANN.

  • The DVR is a series connected FACTS controller used to compensate voltage disturbance in distribution systems. The main purpose of  the DVR is to examine the load voltage waveform regularly if any disorder happens, the equilibrium or excess voltage is injected to the load voltage. The most important advantage of the DVR is observance the users all the time on-line with high quality stable voltage maintaining the permanence of production.  In this dissertation, a Photovoltaic voltage injected with an ANN control method for DVR that protects a sensitive load, to counter voltage sag under uneven loading conditions (linear, non-linear) is presented. DVR along with other parts of the distribution system are simulated using MATLAB/ SIMULINK.

     

     

  • References

    1. [1] Narain R & Hingorani G, “Introducing custom powerâ€, IEEE spectrum, (1995), pp.41-48.

      [2] El-Shennawy TI, Moussa AME, El-Gammal MA & Abou-Ghazala AY, “A dynamic voltage restorer for voltage sag mitigation in a refinery with induction motors loadsâ€, American Journal of Engineering and Applied Sciences, Vol.3, No.1, (2010), pp.144-151.

      [3] Goharrizi AY, Hosseini SH, Sabahi M & Gharehpetian GB, “Three-phase HFL-DVR with independently controlled phasesâ€, IEEE transactions on power electronics, Vol.27, No.4, (2012), pp.1706-1718.

      [4] Benachaiba C & Ferdi B, “Voltage quality improvement using DVRâ€, Electrical Power Quality and Utilisation, Journal, Vol.14, (2008), pp.39-46.

      [5] Wahab SW & Yusof AM, “Voltage sag and mitigation using dynamic voltage restorer (DVR) systemâ€, Elektrika Journal of Electrical Engineering, Vol.8, No.2, (2006), pp.32-37.

      [6] Quirl BJ & Johnsom BK, “Mitigation of voltage sags with phase jump using Dynami Voltage Restorerâ€, IOSR Journal of Electrical and Electronics Engineering, Vol. 8, No.4, (2013), pp.21-38.

      [7] Komurcugil H & Biricik S, “Time-varying and constant switching frequency-based sliding-mode control methods for transformerless DVR employing half-bridge VSIâ€, IEEE Transactions on Industrial Electronics, Vol.64, No.4, (2017), pp.2570-2579.

      [8] Jothibasu S & Mishra MK, “A control scheme for storageless DVR based on characterization of voltage sagsâ€, IEEE transactions on power delivery, Vol.29, No.5,(2014), pp.2261-2269.

      [9] Moradlou M & Karshenas HR, “Design strategy for optimum rating selection of interline DVRâ€, IEEE Transactions on Power Delivery, Vol.26, No.1, (2011), pp.242-249.

      [10] Saravanan R and Manoharan PS, ‘Performance analysis of UPQC for power quality improvement’, Applied mechanics and materials, Vol.573, (2014), pp.690-695.

      [11] Saravanan R,T.Ramesh, Manoharan P.S, and Muthuramalingam M“Dynamic Voltage restorer Application for Power Quality improvement in nonlinear load’, International Journal of Research ,Vol.4, No.17, (2017) pp. 3155-3161.

      [12] Saravanan R & Manoharan PS, “Power quality improvement using UPQC based on particle swarm optimizationâ€, Bulletin of Electrical Engineering and Informatics, Vol.2, No.1,(2013), pp.29-34.

      [13] Saravanan R & Manoharan PS, “Mitigation of voltage disturbances using DVR on distribution system with distributed generationâ€, International Journal of Power Systems and Power Electronics, Vol.3, No.1,(2013), pp.49-56.

      [14] Emayavaramban G & Amudha A, “sEMG Based Classification of Hand Gestures using Artificial Neural Networksâ€, Indian Journal of Science and Technology, Vol.9, No.35, (2016), pp.1-10.

      [15] Emayavaramban G & Amudha A, “Recognition of sEMG for Prosthetic Control using Static and Dynamic Neural Networksâ€, International Journal of Control Theory and Applications, Vol.2, No.6, (2016), pp.155-165.

      [16] Emayavaramban G & Amudha A, “Identifying Hand Gestures using sEMG for Human Machine Interactionâ€, ARPN Journal of Engineering and Applied Sciences, Vol.11, No.21, (2016).

      [17] Ramkumar S, SatheshKumar K & Emayavaramban G, “EOG Signal Classification using Neural Network for Human Computer Interactionâ€, International Journal of Control Theory and Applications, Vol.9, No.24, (2016), pp.223-231.

      [18] Ramkumar S & Hema CR, “Recognition of Eye Movement Electrooculogram Signals Using Dynamic Neural Networksâ€, KJCS, Vol.6, (2013), pp.12-20.

      [19] Hema CR, Paulraj MP & Ramkumar S, “Classification of Eye Movements Using Electrooculography and Neural Networksâ€, International Journal of Human Computer Interaction, Vol.5, No.4, (2014), pp.51-63.

      [20] Ramkumar S, Satheshkumar K & Emayavaramban G, “Nine States HCI using Electrooculogram and Neural Networksâ€, IJET, Vol. 8, No.6, (2017), pp.3056-3064.

      [21] Ramkumar S, Sathesh Kumar K & Emayavaramban G, “A Feasibility Study On Eye Movements Using Electrooculogram Based HCIâ€, IEEE-International Conference on Intelligent Sustainable Systems, (2017), pp.384-388.

      [22] Emayavaramban G, Ramkumar S, Amudha A & Sathesh Kumar K, “Classification of Hand Gestures Using FFNN and TDNN Networksâ€, International Journal of Pure and Applied Mathematics, Vol.118, No.8, (2018), pp.27-32.

      [23] Saravanan R, Manoharan PS, Kanagaraj T, ‘PSO based UPQC for

      power quality improvement’, International Journal of Applied

      Engineering Research,Vol.10, No.5, (2015), pp.4514-4520.

      [24] Saravanan R and Manoharan PS, , ‘Neuro Fuzzy based UPQC for

      power quality improvement’, Journal of applied sciences research,

      Vol.11, No.19, (2015) pp. 97-101.

      [25] Ramesh Thangavel Saravanan Ragavan , “Gsm Based Low Cost

      Smart Irrigation System with Wireless Valve Controlâ€,

      International Journal of Sensors and Sensor Networks,Vol.5, No.4,

      (2017) pp. 54-62.

  • Downloads

  • How to Cite

    Ramesh, T., K. Mayurinathan, S., Saravanan, R., & Emayavaramban, G. (2018). Enhancing power quality of ANN controller based PhotoVoltaic source injected DVR. International Journal of Engineering & Technology, 7(2.31), 155-160. https://doi.org/10.14419/ijet.v7i2.31.13430