Skip to main content

Advertisement

Log in

Optimal Robust PID-PSS Design for Melioration of Power System Stability Using Search and Rescue Algorithm

  • Published:
Journal of Control, Automation and Electrical Systems Aims and scope Submit manuscript

Abstract

The larger share of renewable energy power generation in the energy sector increases the system uncertainty and worsens the dynamic behavior. Although the Power System Stabilizers (PSS) can accomplish the dynamic torque, the proper tuning of parameters is essential in preserving the system stability. In this research work, large variations in system operating conditions due to unpredictable circumstances are modeled using transfer function with interval coefficients, and simple stability constraints are developed from it to ensure system stability. The performance of a Single Machine Infinite Bus power system is enhanced by defining a Multi-Objective Function (MOF), to minimize the variations in the Proportional-Integral-Derivative (PID)—PSS parameters with respect to nominal loading condition and to meet the practical conditions. The Search and Rescue optimization algorithm is used to tune the parameters of the proposed PID-PSS controller by minimizing the MOF while satisfying the developed stability constraints. The effective performance of the proposed PID-PSS controller is illustrated by comparing it with the significant controllers available in the literature, under a wide range of operating conditions when exposed to a step mechanical disturbance.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18

Similar content being viewed by others

References

  • Abdel-Magid, Y. L., & Abido, M. A. (2003). Optimal multi-objective design of robust power system stabilizers using genetic algorithms. IEEE Transactions on Power Systems, 18(3), 1125–1132.

    Article  Google Scholar 

  • Abedinia, O., Wyns, B., & Ghasemi, A. (2011). Robust fuzzy PSS design using ABC. In 10th international conference on environment and electrical engineering, IEEE explore. https://doi.org/10.1109/EEEIC.2011.5874849.

  • Amir, S., Behrouz, A., Saeed, A. G., Miguel, A., & Sand Adriana, G. (2019). A new optimization algorithm based on search and rescue operations. Hindawi. https://doi.org/10.1155/2019/2482543.

    Article  Google Scholar 

  • Anderson, P. M., & Fouad, A. A. (1997). Power system control and stability. . Wiley.

    Google Scholar 

  • Aprajita S., & Somnath P. (2018). Model based PI power system stabilizer design for damping low frequency oscillations in power systems. ISA Transactions xxx (2018) 1e12.

  • Awadallah, M. A., & Soliman, H. M. (2009). A neuro fuzzy adaptive power system stabilizer using genetic algorithms. Electric Power Components Systems, 37, 158–173.

    Article  Google Scholar 

  • Bhattacharyya, S. P., Chapelett, H., & Keel, L. H. (1995). Robust control: The parametric approach. . Prentice hall Inc.

    Google Scholar 

  • Dasu, B., Siva Kumar, M., & Srinivasa Rao, R. (2019). Design of robust modified power system stabilizer for dynamic stability improvement using Particle Swarm Optimization technique. Ain Shams Engineering Journal, 10(4), 769–783.

    Article  Google Scholar 

  • Demello, F. P., & Concordia, C. (1969). Concepts of synchronous machine stability as affected by excitation control. IEEE Transactions on Power Apparatus and Systems, 88(4), 316–329.

    Article  Google Scholar 

  • Douidi, B., Mokrani, L., & Machmoum, M. (2019). A new cascade fuzzy power system stabilizer for multi-machine system stability enhancement. Journal of Control, Automation and Electrical System, 30, 765–779.

    Article  Google Scholar 

  • Drof, R. C., & Bishop, R. H. (2011). Modern control systems. . Pearson Education Inc.

    Google Scholar 

  • El-Metwally, K. A., Elshafei, A. L., & Soliman, H. M. (2006). A robust power-system stabiliser design using swarm optimisation. International Journal of Modelling, Identification and Control, 1(4), 263–271.

    Article  Google Scholar 

  • Essallah, S., Bouallegue, A., & Khedher, A. (2019). Integration of automatic voltage regulator and power system stabilizer: Small-signal stability in DFIG-based wind farms. Protection and Control Modern Power Systems, 7(5), 1115–1128.

    Google Scholar 

  • John, D., & Constantine, H. H. (1975). Linear control system analysis and design. . McGraw-Hill Kogakusha.

    MATH  Google Scholar 

  • Kundur, P. (1994). Power system stability and control. . McGraw-hill.

    Google Scholar 

  • Li, X.-M., Fu, J.-F., Zhang, X.-Y., Cao, H., Lin, Z.-W., & Niu, Y.-G. (2018). A neural power system stabilizer of DFIGs for power system stability support. International Transactions on Electric Energy Systems, 28(6), e2547.

    Article  Google Scholar 

  • Liu, W., Venayagamoorthy, G. K., & Wunsch, D. C. (2013). Design of an adaptive neural network based power system stabilizer. Neural Networks, 16, 891–898.

    Article  Google Scholar 

  • Naresh, G., RamalingaRaju, M., & Narasimham, S. V. L. (2016). Coordinated design of power system stabilizers and TCSC employing improved harmony search algorithm. Swarm and Evolutionary Computation, 27, 169–179.

    Article  Google Scholar 

  • Nie, N. (1976). A new class of criterion for the stability of the polynomial. Act Mechnicasinica, 15(1), 110–116.

    Google Scholar 

  • Pande, P.W., Chakrabarti, S., & Srivastava, S.C. (2019). Online tuning of power system stabilizer using synchrophasor data. https://doi.org/10.1109/GTDAsia.2019.8715981

  • Parimi, A. M., Elamvazuthi, A., & Saad, N. (2010). Interline power flow applications for low frequency oscillations damping. WSEAS Transactions on Systems, 9(5), 511–527.

    Google Scholar 

  • Patre, B. M., & Deore, P. J. (2007). Robust stability and performance for interval process plants. ISA Transactions, 46(3), 343–349.

    Article  Google Scholar 

  • Raimundo, N. D. C. F., & Leonardo, V. P. (2018). Robust and coordinates tuning of PSS and FACTS-PODs of interconnected systems considering signal transmission delay. Journal of Control, Automation and Electrical Systems, 29, 625–639.

    Article  Google Scholar 

  • Ramya, R., & Maity, S. (2019). Enhancement of small signal stability of SMIB system with robust power system stabilizer. International Journal of Recent Technology and Engineering, 8(2S11), 3416–3423.

    Article  Google Scholar 

  • Rao, P. S., & Sen, I. (2000). Robust pole placement stabilizer design using linear matrix inequalities. IEEE Transactions on Power Systems, 15(2), 313–319.

    Article  Google Scholar 

  • Rigatos, G., & Saino, P. (2011). Design of robust electric power system stabilizers using Kharitonov’s theorem. Mathematics and Computers in Simulation, 82, 181–191.

    Article  MathSciNet  Google Scholar 

  • Sambariya, D. K., & Prasad, R. (2015). Design of robust PID power system stabilizer for multimachine power system using HS algorithm. American Journal of Electrical and Electronic Engineering, 3(3), 75–82.

    Google Scholar 

  • Sauer, P. W., & Pai, M. A. (1998). Power system dynamics and stability. . Prentice-Hall Inc.

    Google Scholar 

  • Shayeghi, H., Safari, A., & Shayanfar, H. A. (2010). PSS and TCSC damping controller coordinated design using PSO PSS in multi-machine power system. Energy Conversion and Management, 51, 2930–2937.

    Article  Google Scholar 

  • Shida, L., Zhongsheng, H., Xin, Z., & Honghai, J. (2015). Wide-area power system stabiliser based on model-free adaptive control. IET Control Theory and Applications, 9(13), 1996–2007.

    Article  MathSciNet  Google Scholar 

  • Soliman, M. (2015). Robust non-fragile power system stabilizer. International Journal on Electrical Power and Energy Systems, 64, 626–634.

    Article  Google Scholar 

  • Soliman, M. (2016). Robust power system stabilizer design via interval arithmetic. International Journal on Modelling, Identification and Control, 25(4), 287–300.

    Google Scholar 

  • Soliman, H. M., & Metwally, K.A.-E.I. (2017). Robust pole placement for power systems using two-dimensional membership fuzzy constrained controller. IET Generation, Transmission, Distribution, 11(16), 3966–3973.

    Article  Google Scholar 

  • Soliman, H. M., Elshafei, A. L., Shaltout, A., et al. (2000). Robust power system stabilizer. IEEE Proceedings, Generation, Transmission, Distribution., 147(5), 285–229.

    Article  Google Scholar 

  • Soliman, H. M., Yousef, H. A., Al-Abri, R., & Metwally, K.A.-E.I. (2018). Decentralized robust saturated control of power systems using reachable sets. Hindawi. https://doi.org/10.1155/2018/2563834.

    Article  MATH  Google Scholar 

  • Vasu, G., Sivakumar, M., & Ramalingaraju, M. (2017). A novel model order reduction technique for linear continuous—time systems using PSO-DV algorithm. Journal of Control, Automation and Electrical Systems, 28, 68–77.

    Article  Google Scholar 

  • Vijaya Lakshmi, A. S. V., Ramalinga, R. M., & Siva, K. M. (2020). Design of a robust PID-PSS for an uncertain power system with simplified stability conditions. Protection and Control Modern of Power System. https://doi.org/10.1186/s41601-020-00165-9.

    Article  Google Scholar 

  • Wang, H. F. (1999). Phillips-Heffron model of power systems installed with STATCOM and applications. IEEE Proceedings Generaton, Transmission, Distribution, 146(5), 521–527.

    Article  Google Scholar 

  • Wilches-Bernal F., Copp DA., & Gravagne I. (2018). Stability criteria for power systems with damping control and asymmetric feedback delays. Doi:https://doi.org/10.1109/NAPS.2018.8600640.

  • Zakirhussain, F., Ibrahim, E. K. E., Suleyman Sungur, T., & Shah Jahan, S. (2018a). A robust PID power system stabilizer design of single machine infinite bus system using firefly algorithm. Gazi University Journal of Science, 31(1), 155–172.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mangipudi Siva Kumar.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lakshmi, A.S.V.V., Kumar, M.S. & Raju, M.R. Optimal Robust PID-PSS Design for Melioration of Power System Stability Using Search and Rescue Algorithm. J Control Autom Electr Syst 32, 968–982 (2021). https://doi.org/10.1007/s40313-021-00720-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40313-021-00720-1

Keywords

Navigation