Voltage Stability Improvement in Power System under Different Loadings using Fuzzy Logic Technique

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    This paper presents a method for voltage stability improvement in power system under different loadings using fuzzy logic technique. Voltage stability assessment in present day plays a major role in planning and operation of power system. Therefore, it has become a challenging issue in maintaining a stable power system. To achieve this, a fuzzy-based model is developed for determining the amount of reactive power to be injected. The effectiveness of this approach will be examined using IEEE 57-bus test system. The test system is used to determine minimum voltage magnitude and fast voltage stability index, FVSI through load flow analysis. These data will be assigned as the inputs to the designed Fuzzy Inference System (FIS) for determining the injected percentage of reactive power. Experiment has validated the ability of the proposed technique and the improvement in terms of voltage magnitude was analyzed. The results have justified the effectiveness of the proposed technique in improving voltage stability of power system.

     

     


  • Keywords


    Fuzzy Inference System; FVSI; voltage stability

  • References


      [1] Saurabh Ratra, Rajive Tiwari, “Voltage stability assessment in power systems using line voltage stability index”, Computers & Electrical Engineering, Available online 5 January 2018

      [2] M. J. Vahid-Pakdel, Heresh Seyedi, B. Mohammadi-Ivatloo, “Enhancement of power system voltage stability in multi-carrier energy systems”, International Journal of Electrical Power & Energy Systems, Vol. 99, July 2018, pp. 344-354.

      [3] B. Telang and P. Khampariya, “Voltage Stability Evaluation Using Modal Analysis”, Int. J. Sci. Res. Eng. Technol., Vol. 4, no. 4, pp. 408–411, 2015.

      [4] Heng-Yi Su, Tzu-Yi Liu, “WAMS-based coordinated automatic voltage regulation incorporating voltage stability constraints using sequential linear programming approximation algorithm”, Electric Power Systems Research, Vol. 163, Part A, October 2018, pp. 482-490.

      [5] S. B. Bhaladhare, A. S. Telang, and P. P. Bedekar, “P-V, Q-V Curve – A Novel Approach for Voltage Stability Analysis”, Natl. Conf. Innov. Paradig. Eng. Technol., pp. 31–35, 2013.

      [6] M. Blej and M. Azizi, “Comparison of Mamdani-Type and Sugeno-Type Fuzzy Inference Systems for Fuzzy Real Time Scheduling”, vol. 11, no. 22, pp. 11071–11075, 2016.

      [7] Houhe Chen, Tao Jiang, Haoyu Yuan, Hongjie Jia, Linquan Bai, Fangxing Li, “Wide-area measurement-based voltage stability sensitivity and its application in voltage control”, International Journal of Electrical Power & Energy Systems, Vol. 88, June 2017, pp. 87-98.

      [8] Evelyn Heylen, Geert Deconinck, Dirk Van Hertem, “Review and classification of reliability indicators for power systems with a high share of renewable energy sources”, Renewable and Sustainable Energy Reviews, Vol. 97, December 2018, pp. 554-568.

      [9] Yuan-Kang Wu, Shih Ming Chang, “Literature Review of Power System Blackouts”, Energy Procedia, Vol. 141, December 2017, pp. 428-431.

      [10] Olga P. Veloza, Francisco Santamaria, “Analysis of major blackouts from 2003 to 2015: Classification of incidents and review of main causes”, The Electricity Journal, Vol. 29, Issue 7, September 2016, pp. 42-49.

      [11] Thakku Peter, R. P. Sajith, “Voltage stability assessment in power systems using Artificial Neural Networks”, 2014 Annual International Conference on Emerging Research Areas: Magnetics, Machines and Drives (AICERA/iCMMD), September 2014, Kottayam, India.

      [12] M. V. Santos, A. C. Zambroni de Souza, B. I. L. Lopes, D. Marujo, “Secondary voltage control system based on fuzzy logic”, Electric Power Systems Research, Vol. 119, February 2015, pp. 377-384.

      [13] Prakash K.Ray, Shiba R. Paital, Asit MohantyFoo, Y. S. Eddy Hoay, Beng Gooi, “A robust power system stabilizer for enhancement of stability in power system using adaptive fuzzy sliding mode control”, Applied Soft Computing, Vol. 73, December 2018, pp. 471-481.

      [14] Saleh Ahmadi,Shoresh Shokoohi, Hassan Bevrani, “A fuzzy logic-based droop control for simultaneous voltage and frequency regulation in an AC microgrid”, International Journal of Electrical Power & Energy Systems, Vol. 64, January 2015, pp. 148-155.

      [15] Gang Ma, Guchao Xu, Yixi Chen, Rong Ju, “Voltage stability control method of electric springs based on adaptive PI controller”, International Journal of Electrical Power & Energy Systems, Vol. 95, February 2018, pp. 202-212.

      [16] P. C. Sarker, N. Mahafuzz, and S. Saha, “Voltage Stability Improvement Using Fuzzy Logic Control System,” International Journal of Scientific & Engineering Research, Vol. 4, Issue 10, October 2013, Vol. 4, no. 10, pp. 449–454.


 

View

Download

Article ID: 25960
 
DOI: 10.14419/ijet.v8i1.7.25960




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.