Power System Stability Analysis of SMIB with FOPID using Cuckoo Search Optimized Differential Evaluation

  • Authors

    • Atul M. Gajare
    • Dr R. P. Singh
    • Dr M. U. Nemade
    2018-04-15
    https://doi.org/10.14419/ijet.v7i2.17.11551
  • AVR, Cuckoo Search, DE, FOPID, PSS, SMIB.

  • Abstract

    Due to complexity in the power system there is always a loss of the stability due to the fault. Whenever a fault is intercepted in system, the whole system goes to severe transients. These transients cause oscillation in phase angle which leads poor power quality. The nature of oscillation is increasing instead being sustained, which leads system failure in form of generator damage. To reduce and eliminate the unstable oscillations one needs to use a stabilizer which can generate a perfect compensatory signal in order to minimize the harmonics generated due to instability.

    This paper presents a Power System stabilizer to reduce oscillations due to small signal disturbance. Additionally, a hybrid approach is proposed using FOPID stabilizer with the PSS connected SMIB. Cuckoo Search (CS) Optimized Differential Evaluation (DE) approach is used for the parameter tuning of the stabilizer. The efficiency of proposed approach is observed by rotor angle and power angle deviations in the SMIB system.

     

     

  • References

    1. [1] Chen, Cheng-Wu. "Stability analysis and robustness design of nonlinear systems: an NN-based approach." Applied Soft Computing 11.2 (2011): 2735-2742.

      [2] Díaz-González, Francisco, et al. "A review of energy storage technologies for wind power applications." Renewable and sustainable energy reviews 16.4 (2012): 2154-2171.

      [3] Mostafa, Hossam E., et al. "Design and allocation of power system stabilizers using the particle swarm optimization technique for an interconnected power system." International Journal of Electrical Power & Energy Systems 34.1 (2012): 57-65.

      [4] Bevrani, Hassan, Takashi Hiyama, and Hossein Bevrani. "Robust PID based power system stabiliser: design and real-time implementation." International Journal of Electrical Power & Energy Systems 33.2 (2011): 179-188.

      [5] Saha, Anulekha, Priyanath Das, and Ajoy Kumar Chakraborty. "Performance analysis and comparison of various FACTS devices in power system." International Journal of Computer Applications 46.15 (2012): 9-15.

      [6] de Dieu Nguimfack-Ndongmo, Jean, et al. "A simplified nonlinear controller for transient stability enhancement of multimachine power systems using SSSC device." International Journal of Electrical Power & Energy Systems 54 (2014): 650-657.

      [7] Panda, Sidhartha, and Ramnarayan N. Patel., “Improving power system transient stability with an off-centre location of shunt FACTS devicesâ€, Journal of Electrical Engineering-Bratislava- 57, no. 6, 2006.

      [8] Ali M. Youcef, Ahmed M. Kassem “Optimal Power System Stabilizer Based Enhancement Of Synchronizing And Damping Torque Coefficientâ€, Vol7, April 2012.

      [9] Balwinder Singh Surjan, Ruchira Garg P, “Power System Stabilizer Controller Design for SMIB Stability Study†International Journal of Engineering and Advanced Technology (IJEAT), ISSN: 2249 – 8958, Volume-2, Issue-1, October 2012.

      [10] F. S. Al-Ismail, M. A. Abido “The Impact of STATCOM Based Stabilizers on Power System Stability, Using Intelligent Computational Optimization Approachâ€, 2011 IEEE.

      [11] Sidhartha Panda and Narayana Prasad Padhy “MATLAB/SIMULINK Based Model of Single- Machine Infinite-Bus with TCSC for Stability Studies and Tuning Employing GAâ€, International Journal of Electrical and Electronics Engineering 2007.

      [12] Ali H. Ahmad, Ahmed A. Abdelqader “Power System Stabilizer Design Using Real-Coded Genetic Algorithmâ€, 2011 2nd International Conference on Control, Instrumentation and Automation.

      [13] M. A. Abido, Y. L. Abdel-Magid, “Analysis and Design of Power System Stabilizers and Fact Based Stabilizers Using Genetic Algorithmsâ€, devilla, 24-28 June 2002.

      [14] A. Al-Hinai, Membre, IEEE “Dynamic Stability Enhancement Using Genetic Algorithm Power System Stabilizerâ€, 2010 IEEE.

      [15] Mahdiyeh Eslami, Hussain Shareef and Azah Mohamed, “Optimal Tuning of Power System Stabilizers Using Modified Particle Swarm Optimizationâ€, Proceedings of the 14th International Middle East Power Systems Conference (MEPCON’10), Cairo University, Egypt, December 19-21, 2010, Paper ID 184.

      [16] M. A. Abido, “Optimal design of power–system stabilizers using particle swarm optimizationâ€, IEEE Trans, On Energy Conversion, 17(3) (2002)406-413.

      [17] E.V. Larsen and D.A. Swann, Applying power system stabilizers part-II: Performance Objectives and Tuning Concepts, IEEE Trans. Power App. Sys, 100 (6) (1981) 3025-3033.

      [18] Anders Hammer, “Analysis of IEEE Power System Stabilizer Modelsâ€, Master of Science in Electric Power Engineering, Norwegian University of Science and Technology Department of Electric Power Engineering, June 2011.

      [19] Ahmad, Ali H., and Ahmed A. Abdelqader. "Power system stabilizer design using real-coded genetic algorithm." 2nd International Conference on Control, Instrumentation and Automation (ICCIA), pp. 25-31, 2011.

      [20] Pan, Indranil, and Saptarshi Das. "Frequency domain design of fractional order PID controller for AVR system using chaotic multi-objective optimization." International Journal of Electrical Power & Energy Systems 51 (2013): 106-118.

      [21] Chaib, L., Choucha, A. and Arif, S., 2017. Optimal design and tuning of novel fractional order PID power system stabilizer using a new metaheuristic Bat algorithm. Ain Shams Engineering Journal, 8(2), pp.113-125.

      [22] Storn, Rainer, and Kenneth Price. "Differential evolution–a simple and efficient heuristic for global optimization over continuous spaces." Journal of global optimization 11, no. 4 (1997): 341-359.

      [23] Das, Swagatam, and Ponnuthurai Nagaratnam Suganthan. "Differential evolution: A survey of the state-of-the-art." IEEE transactions on evolutionary computation 15, no. 1 (2011): 4-31.

      [24] Yang, Xin-She, and Suash Deb. "Cuckoo search via Lévy flights." In Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on, pp. 210-214. IEEE, 2009.

      [25] Yang, Xin-She, and Suash Deb. "Cuckoo search: recent advances and applications." Neural Computing and Applications 24, no. 1 (2014): 169-174.

      [26] Sowmya I, Ch. Sathi Raju, Md Zia-Ur-Rahman, D.V.R.K Reddy

      “Respiration Baseline wander removal from cardiac signals using an optimized Adaptive Noise cancellerâ€, Canadian Journal of Signal Processing, Vol-2, no-3, pp.27-31, 2011.

      [27] Md.Zia Ur Rahman, S.R.Ahamed and D.V.R.K Reddy, “Noise Cancellation in ECG Signals using Computationally Simplified Adaptive Filtering Techniques: Application to Biotelemetryâ€, Signal Processing: An International Journal, CSC Journals, ISSN 1985-2312, Vol. 3, Issue 5, pp. 1-12, 2009.

      [28] Md. Nizamuddin Salman, P. Trinatha Rao, Md.Zia Ur Rahman, “Cardiac Signal Enhancement Using Normalised Variable Step Algorithm For Remote Healthcare Monitoring Systems,†International Journal of Medical Engineering and Informatics, Inderscience Pub, Vol. 9, No. 2, 2017, pp. 145-161.

      [29] Md. Zia Ur Rahman, Adaptive Noise Cancellers for Cardiac Signal Enhancement for IOT Based Health Care Systems, Journal of Theoretical and Applied Information Technology,Vol.95, no.10, 2017, pp.2206-2213.

      [30] M. Nagesh, Md. Zia Ur Rahman, “A New ECG Signal Enhancement Strategy using Non-Negative Algorithmsâ€, International Journal of Control Theory and Applications Vol.10, no.35, 2017, pp.323-333.

      [31] G V S Karthik, Md. Zia Ur Rahman, “ECG Signal Enhancement using Circular Leaky Adaptive Algorithm in an IOT Enabled Sensor Systemâ€, International Journal of Control Theory and Applications,Vol.10, no.35, 2017, pp.271-282.

  • Downloads

  • How to Cite

    M. Gajare, A., R. P. Singh, D., & M. U. Nemade, D. (2018). Power System Stability Analysis of SMIB with FOPID using Cuckoo Search Optimized Differential Evaluation. International Journal of Engineering & Technology, 7(2.17), 5-12. https://doi.org/10.14419/ijet.v7i2.17.11551

    Received date: 2018-04-15

    Accepted date: 2018-04-15

    Published date: 2018-04-15