Optimal Sizing of Distributed Power Flow Controller Based on Jellyfish Optimizer

Document Type : Research paper

Authors

1 Department of Electrical Engineering, Sitamarhi Institute of Technology, Sitamarhi, Bihar, India

2 Department of Electrical Engineering, Rajkiya Engineering College, Mainpuri, Uttar Pradesh, India

3 Department of Electrical and Electronics Engineering, Nalanda College of Engineering, Chandi, Nalanda, Bihar, India

4 Department of Electrical Engineering, Government Engineering College, Siwan, Bihar, India

5 Department of Electrical and Electronics Engineering, Shershah Engineering College, Sasaram, Bihar, India

6 Department of Electrical and Electronics Engineering, Gaya College of Engineering, Gaya, Bihar, India

7 Department of Electrical Engineering, B.N.C.E.T., Lucknow, Uttar Pradesh, India

Abstract

In the family of Flexible AC Transmission Systems (FACTS) controllers, the distributed power flow controller (DPFC) can control powerfully all the system's parameters like bus voltages magnitude, transmission angle, and line impedances with high redundancy and a wide range of compensation. In this paper, IEEE-14 bus IEEE-30 bus, and IEEE-118 bus systems are taken for the testing of the proposed approach. The optimal placement of the series and shunt converters of the DPFC is decided by the most critical bus and most critical line associated with that bus respectively. The sizing of the DPFC is decided based on the minimization of active power losses of the systems. The loss function is considered an objective function and the limits of the bus voltages magnitudes, bus voltage angles, thermal limits of the lines, and level of compensation of the DPFC are taken as the system's constraints. To solve complex problems in various fields, meta-heuristic optimizations are more popular. Among the meta-heuristic optimizers, the jellyfish optimizer is one that is based on the behavior of jellyfish in the ocean. The optimization of the objective function with constraints has been solved by time-varying acceleration coefficients (TVAC) particle swarm optimization (PSO), artificial bee colony (ABC), genetic algorithm (GA), and metaheuristic optimizer jellyfish methods. Results show that all the optimization techniques provide solutions with minimum losses. Among these methods, the solution of the jellyfish optimizer has the lowest active power losses, highest convergence rate, less number of iterations, and also takes less computational time.

Keywords

References

  1. Tripathy, S. Mishra, "Bacteria foraging-based solution to optimize both real power loss and voltage stability limit," IEEE Trans. Power Syst., vol. 22, no. 1, pp. 240–248, 2007.
  2. Rezaeejordehi, J. Jasni, "A comprehensive review on methods for solving FACTS optimization problem in power systems," Int. Rev. Electr. Eng., vol. 6, no. 4, pp. 120–129, 2011.
  3. G. Hingorani, L. Gyugyi, "Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems," New York:Wiley/IEEE, 2000.
  4. H. Song, A. T. Johns, "Flexible A.C. Transmission Systems (FACTS)," London, U.K.: Inst. Elect. Eng., 1999.
  5. Belazzoug M., Boudour M., Sebaa K., "FACTS location and size for reactive power system compensation through the multi-objective optimization," Control Sci., vol. 20, no. 4, pp. 473–489, 2010.
  6. Ahmed A. Shehata, Ahmed Refaat, Mamdouh K. Ahmed, Nikolay V. Korovkin , "Optimal placement and sizing of FACTS devices based on Autonomous Groups Particle Swarm Optimization technique," Elect. Eng., Vol. 70(1), pp. 161–172, 2021.
  7. Al Ahmad A., Sirjani R., "Optimal placement and sizing of multi-type FACTS devices in power systems using metaheuristic optimisation techniques: An updated review," Ain Shams Eng. J. , 2019.
  8. Kotsampopoulos P., Georgilakis P., Lagos D.T., Kleftakis V., Hatziargyriou N., FACTS providing grid services: applications and testing," Energies, vol. 12, no. 13, 2019.
  9. Mondal, A. Chakrabarti, A. Sengupta, Optimal placement and parameter setting of SVC and TCSC using PSO to mitigate small signal stability problem," Int. J. Electr. Power Energy Syst., vol. 42, no. 1, pp. 334–340, 2012.
  10. Shehata A.A., Korovkin N.V., An accuracy enhancement of optimization techniques containing fractional-polynomial relationships," Youth Conf. Radio Electron. Elect. Power Eng. (REEPE), pp. 1–5, 2020.
  11. A. Kamarposhti, H. Shokouhandeh, I. Colak, Sh. S. Band, K. Eguchi, "Optimal Location of FACTS Devices in Order to Simultaneously Improving Transmission Losses and Stability Margin Using Artificial Bee Colony Algorithm," IEEE Access, vol. 9 pp. 125920–125929, 2021.
  12. Abasi, M. Joorabian, A. Saffarian, and S.G. Seifossadat, Comprehensive Review of Various Fault Location Methods for Transmission Lines Compensated by FACTS Devices and Series Capacitors," J. Oper. Auto. Power Eng., Vol. 9, No. 3, pp 213 – 225, Dec. 2021.
  13. Bagheri, A. Rabiee, S. Galvani and F. Fallahi, "Congestion Management through Optimal Allocation of FACTS Devices Using DigSILENT-Based DPSO Algorithm - A Real Case Study," J. Oper. Auto. Power Eng., Vol. 8, No. 2, pp. 97-115, 2020.
  14. A. Nabavi Niaki, M. R. Iravani, Steady-state and dynamic modeling of Unified Power Flow Controller (UPFC) for power system studies," IEEE Trans. Power Syst., vol. 11, no. 4, pp. 1937–1943, (1996).
  15. Gyugyi, "A unified power flow control concept for flexible ac transmission systems," In Proc. Int. Conf. AC DC Power Transmission, pp. 19–26, 1991.
  16. Zhihui Yuan,        Sjoerd       H.         de              Haan,       Jan            A.        Ferreira, "Construction and the first result of a scaled transmission system with the Distributed Power Flow Controller (DPFC)," 13th European Conf. Power Electro. Appli., 2009.
  17. Budi Srinivasarao, G. Sreenivasan, Swathi Sharma, "Compensation of voltage disturbances in SMIB system using ANN based DPFC controller," Conf. Signal Proce. Communi. Power Embedded Syst., 3-5 Oct., 2016.
  18. Madhusudhana Rao, V. Anwesha Kumar, B. V. Sanker Ram, "Design of a neural network based distributed power flow controller (DPFC) for power system stability," Int. Conf. Signal Proce. Communi. Power Embedded Syst., 3-5 Oct., 2016.
  19. Tiwari R, Niazi Kr., Gupta V., "Line collapse proximity index for prediction of voltage collapse in power systems," Electric Power Syst Res, vol. 41, pp. 105–11, 2012.
  20. Musirin I, Rahman TKA., "Novel fast voltage stability index (FVSI) for voltage stability analysis in power systems," Student conf. research develop. proc., Malaysia, 2002.
  21. Elizandra Pereira Roque Coelho, Marcia Helena Moreira Paiva, Marcelo Eduardo Vieira Segatto, Gilles Caporossi, "A New Approach for Contingency Analysis Based on Centrality Measures," IEEE Systems J., Vol. 13, Issue 2, pp. 1915–1923, 2019.
  22. Jui-Sheng Chou and Dinh-Nhat Truong, "Multiobjective optimization inspired by behavior of jellyfish for solving structural design problems," Chaos, Solitons and Fractals 135, 2020.
  23. Ghaith Manita and Aymen Zermani, "A Modified Jellyfish Search Optimizer With Orthogonal Learning Strategy," Procedia Computer Science, Volume 192, pp. 697-708, 2021.
  24. "The IEEE 14 and 30 Bus Test Systems," available online at: http://labs.ece.uw.edu/pstca.
  25. Priti Prabhakar, Ashwani Kumar, "Voltage stability boundary and margin enhancement with FACTS and HVDC," J. Electr. Power Energy Syst. , Vol. 82, pp. 429–438, 2016.
  26. Zhihui Yuan, Sjoerd W. H de Haan, Braham Frreira, Dalibor Cevoric, "A FACTS Device: Distributed Power Flow Controller (DPFC)," IEEE Trans. Power Electron., vol. 25, no. 10, pp. 2564–2572, 2010.
  27. K. Gupta, Shelly Vadhera, "Performance of distributed power flow controller on system behavior under unbalance fault condition," Students Conf. Eng. Syst., 28-30 May, 2014.
  28. Jui-Sheng Chou, Dinh-Nhat Truong, "A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean, Applied Mathematics and Computation," Math. Comput. , Vol. 389, 2021.
  29. Kavitha K., Neela R., Optimal allocation of multi-type FACTS devices and its effect in enhancing system security using BBO, WIPSO & PSO," Electr. Syst. Inf. Technol. , vol. 5, no. 3, pp. 777–793, 2018.
  30. Mahdavi, A. Kimiyaghalam, H. H. Alhelou, M. S. Javadi, A. Ashouri, J. P. S. Catalao, "Transmission Expansion Planning Considering Power Losses, Expansion of Substations and Uncertainty in Fuel Price Using Discrete Artificial Bee Colony Algorithm," IEEE Access, Vol. 9, pp. 135983– 135995, 2021.
  31. Saurabh Ratra, Rajive Tiwari, and K.R. Niazi, "Voltage stability assessment in power systems using line voltage stability index," Electr. Eng., vol. 70, pp. 199-211, 2018.
Journal of Operation and Automation in Power Engineering
Volume 12, Issue 1
January 2024
Pages 69-76

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History

  • Receive Date: 12 April 2022
  • Revise Date: 26 June 2022
  • Accept Date: 01 August 2022

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