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Adaptive technique for PQ analysis in renewable sources with grid integrated SSFC

  • S. Mani KuchibhatlaEmail author
  • D. Padmavathi
  • R. Srinivasa Rao
Original Research
  • 15 Downloads

Abstract

In power quality (PQ) problems, the flexible AC transmission system (FACTS) devices have been developed the real power and reducing the PQ issues of the power system. Here the PQ analysis in photovoltaic (PV), wind turbine (WT) system with grid integrated static switched filter compensator (SSFC) is controlled by adaptive technique. The adaptive technique works with the combined process of Cuttle fish algorithm (CFA) and recurrent neural network (RNN) algorithm. The proposed adaptive technique is controlling the irregular switching process of the shunt capacitor banks of a tuned arm filter in SSFC device. The novelty of the proposed technique is improved for energy efficiency and demand management in grid utilization process. Here a power injection model of SSFC is considered to control the real power flow control in terms of grid utilization. The switching process is controlled by balancing control signal generated with the help of pulse width modulation (PWM) process. To modulate the PWM is used by two regulators, which is based on a tri-loop real error managed combined weighted adjusted proportional integral derivative controller. The proposed SSFC system is designed and implemented in MATLAB/Simulink platforms and the performance is validated with some existing devices such as unified power flow controller and SSFC devices.

Keywords

PQ PV Micro grid WT FACTS SSFC PID controller CFA RNN algorithm 

Notes

References

  1. Arabul FK, Arabul AY, Kumru CF, Boynuegri AR (2017) Providing energy management of a fuel cell-battery-wind turbine-solar panel hybrid off-grid smart home system. Int J Hydrog Energy 42(43):26906–26913CrossRefGoogle Scholar
  2. Arya AK, Kumar A, Chanana S (2019) Analysis of distribution system with D-STATCOM by gravitational search algorithm (GSA). Int J Inst Eng (India) Ser B.  https://doi.org/10.1007/s40031-019-00383-2 Google Scholar
  3. Benabid R, Boudour M, Abido MA (2012) Development of a new power injection model with embedded multi-control functions for static synchronous series compensator. IET Trans Gener Transm Distrib 6(7):680–692CrossRefGoogle Scholar
  4. Chaurasia GS, Singh AK, Agrawal S, Sharma NK (2017) A meta-heuristic firefly algorithm based smart control strategy and analysis of a grid-connected hybrid photovoltaic/wind distributed generation system. Int J Sol Energy 150:265–274CrossRefGoogle Scholar
  5. Derrouazin A, Aillerie M, Mekkakia-Maaza N, Charles JP (2017) Multi input-output fuzzy logic smart controller for a residential hybrid solar-wind-storage energy system. Int J Energy Convers Manag 148:238–250CrossRefGoogle Scholar
  6. Eesa AS, Brifcani AMA, Orman Z (2014) A new tool for global optimization problems Cuttlefish algorithm. Int J Comput Inf Eng 8(9):1235–1239Google Scholar
  7. Eesa AS, Orman Z, Brifcani AMA (2015) A novel feature-selection approach based on the cuttlefish optimization algorithm for intrusion detection systems. Int J Expert Syst Appl 42(5):2670–2679CrossRefGoogle Scholar
  8. El Moursi M, Sharaf AM, El-Arroudi K (2008) Optimal control schemes for SSSC for dynamic series compensation. Int J Electr Power Syst Res 78:646–656CrossRefGoogle Scholar
  9. Esfahani MT, Hosseinian SH, Vahidi B (2015) A new optimal approach for improvement of active power filter using FPSO for enhancing power quality. Int J Electr Power Energy Syst 69:188–199CrossRefGoogle Scholar
  10. Fairbank M, Li S, Fu X, Alonso E, Wunsch D (2014) An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances. Int J Neural Netw 49:74–86CrossRefzbMATHGoogle Scholar
  11. Farahani M (2012) Damping of subsynchronous oscillations in power system using static synchronous series compensator. IET Trans Gener Transm Distrib 6(6):539–544CrossRefGoogle Scholar
  12. Gamaa S, Abdelsalam A, Abdelaziz A (2016) Power system distortions mitigation using switched filter compensator. Am J Electr Power Energy Syst 5(6):76–80Google Scholar
  13. Gandomann FH, Sharaf AM, Shady HE, Aleem A, Jurado F (2017) Distributed FACTS stabilization scheme for efficient utilization of distributed wind energy systems. Int Trans Electr Energy Syst 27(11):1–20CrossRefGoogle Scholar
  14. Gayatri MTL, Parimi AM, Kumar AVP (2018) A review of reactive power compensation techniques in microgrids. Int J Renew Sustain Energy Rev 81:1030–1036CrossRefGoogle Scholar
  15. Ghorbani N, Kasaeian N, Toopshekan A, Bahrami L, Maghami A (2018) Optimizing a hybrid wind-PV-battery system using GA-PSO and MOPSO for reducing cost and increasing reliability. Int J Energy 154:581–591CrossRefGoogle Scholar
  16. Gonzaleza M, Cardenas V, Espinosa G (2014) Advantages of the passivity based control in dynamic voltage restorers for power quality improvement. Int J Simul Model Pract Theory 47:221–235CrossRefGoogle Scholar
  17. Hua J, Xu J, Cheng KW, Guerrero JM (2018) A model predictive control strategy of PV-battery microgrid under variable power generations and load conditions. Int J Appl Energy 221:195–203CrossRefGoogle Scholar
  18. Hussain I, Kandpal M, Singh B (2017) Grid integration of single stage SPV-STATCOM using cascaded 7-level VSC. Int J Electr Power Energy Syst 93:238–252CrossRefGoogle Scholar
  19. Kabalci Y, Kabalci E (2007) Modeling and analysis of a smart grid monitoring system for renewable energy sources. Int J Sol Energy 153:262–275CrossRefGoogle Scholar
  20. Kamel S, Jurado F, Chen Z (2015) Power flow control for transmission networks with implicit modeling of static synchronous series compensator. Int J Electr Power Energy Syst 64:911–920CrossRefGoogle Scholar
  21. Kannan VK, Rengarajan N (2012) Photovoltaic based distribution static compensator for power quality improvement. Int J Electr Power Energy Syst 42:685–692CrossRefGoogle Scholar
  22. Kaushal J, Basa P (2018) A novel approach for determination of power quality monitoring index of an AC microgrid using fuzzy inference system. Iran J Sci Technol Trans Electr Eng 42(4):429–450CrossRefGoogle Scholar
  23. Kirthika N, Balamurugan S (2016) A new dynamic control strategy for power transmission congestion management using series compensation. Int J Electr Power Energy Syst 77:271–279CrossRefGoogle Scholar
  24. Mehrjerdi H, Ghorbani A (2017) Adaptive algorithm for transmission line protection in the presence of UPFC. Int J Electr Power Energy Syst 91:10–19CrossRefGoogle Scholar
  25. Modesto RA, da Silva SAO, de Oliveira Junior AA (2015) Power quality improvement using a dual unified power quality conditioner/uninterruptible power supply in three-phase four-wire systems. IET Trans Power Electron 8(9):1595–1605CrossRefGoogle Scholar
  26. Mukhopadhyay S, Maiti V, Banerji V, Biswas SK, Deb NK (2017) Dual delta bank TCR for harmonic reduction in three-phase static var controllers. IEEE Trans Ind Appl 53(6):5164–5172CrossRefGoogle Scholar
  27. Nandi M, Shiva CK, Mukherjee V (2018) A moth–flame optimization for UPFC–RFB-based load frequency stabilization of a realistic power system with various nonlinearities. Iran J Sci Technol Trans Electr Eng.  https://doi.org/10.1007/s40998-018-0157-2 Google Scholar
  28. Qader MR (2015) A novel strategic-control-based distribution static synchronous series compensator (DSSSC) for power quality improvement. Int J Electr Power Energy Syst 64:1106–1118CrossRefGoogle Scholar
  29. Rashad A, Kamel S, Jurado F (2017) Stability improvement of power systems connected with developed wind farms using SSSC controller. Ain Shams Eng J 9(4):2767–2779CrossRefGoogle Scholar
  30. Sharaf A, Abdelsalam A (2012) A FACTS based static switched filter compensator for voltage control and power quality improvement in wind smart grid. Int J Power Eng 4(1):41–57Google Scholar
  31. Sharaf AM, Abdelsalam AA (2013) A FACTS-based static switched filter compensator for smart distribution grid. Aust J Electr Electron Eng 10(1):65–73Google Scholar
  32. Su B, Lu S (2017) Accurate recognition of words in scenes without character segmentation using recurrent neural network. Int J Pattern Recognit 63:397–405CrossRefGoogle Scholar
  33. Teke A, Saribulut L, Tumay M (2011) A novel reference signal generation method for power-quality improvement of unified power-quality conditioner. IEEE Trans Power Deliv 26(4):2205–2214CrossRefGoogle Scholar
  34. Ullah N, Ali MA, Ahmad R, Khattak A (2017) Fractional-order control of static series synchronous compensator with parametric uncertainty. IET Trans Gener Transm Distrib 11(1):289–302CrossRefGoogle Scholar
  35. Vinkovic A, Mihalic R (2008) A current-based model of the static synchronous series compensator (SSSC) for Newton–Raphson power flow. Int J Electr Power Syst Res 78:1806–1813CrossRefGoogle Scholar
  36. Wang L, Truong DN (2013) Comparative stability enhancement of PMSG-based offshore wind farm fed to an SG-based power system using an SSSC and an SVC. IEEE Trans Power Syst 28(2):1336–1344CrossRefGoogle Scholar
  37. Zhang XP (2003) Advanced modeling of the multi-control functional static synchronous series compensator (SSSC) in Newton power flow. IEEE Trans Power Syst 18(4):1410–1416CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • S. Mani Kuchibhatla
    • 1
    Email author
  • D. Padmavathi
    • 2
  • R. Srinivasa Rao
    • 3
  1. 1.Jawaharlal Nehru Technological UniversityKakinadaIndia
  2. 2.Department of Electrical and Electronics EngineeringSridevi Womens Engineering CollegeHyderabadIndia
  3. 3.Department of Electrical and Electronics EngineeringJ.N.T University College of EngineeringKakinadaIndia

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