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Design of a Supervisory Control System Based on Fuzzy Logic for a Hybrid System Comprising Wind Power, Battery and Ultracapacitor Energy Storage System

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Advanced Control and Optimization Paradigms for Wind Energy Systems

Part of the book series: Power Systems ((POWSYS))

Abstract

Hybrid configurations involving renewable energies and storage devices pose certain challenges regarding their energy management strategies, such as the intermittent and fluctuating power generation from renewable sources, the time-varying available energy in the storage systems, or their maximum charge and discharge limitations. Observing these aspects is mandatory in order to develop a smart energy management strategy within the hybrid system. This chapter presents a control strategy for the coordinated operation of a wind power generator and two different energy storage devices. The proposed control scheme is based on fuzzy logic to monitor the state of charge of the storage systems, while defining their power references to comply with an imposed grid demand. The control strategy has been evaluated through simulation under different operating conditions, proving a satisfactory regulation of the monitored parameters and an adequate supply of the grid requirements.

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References

  1. Abbey C, Joos G (2007) Supercapacitor energy storage for wind energy applications. IEEE Trans Ind Appl 43(3):769–776

    Article  Google Scholar 

  2. Akhmatov V, Knudsen H (2007) Large penetration of wind and dispersed generation into Danish power grid. Electr Power Syst Res 77(9):1228–1238

    Article  Google Scholar 

  3. Anaya-Lara O, Jenkins N, Ekanayake J, Cartwright P, Hughes M (2009) Wind energy generation modelling and control. Wiley, West Sussex, UK

    Google Scholar 

  4. Beaudin M, Zareipour H, Schellenberglabe A, Rosehart W (2010) Energy storage for mitigating the variability of renewable electricity sources: an updated review. Energy Sustain Dev 14(4):302–314

    Article  Google Scholar 

  5. Bisht MS, Sathans (2014) Fuzzy based intelligent frequency control strategy in standalone hybrid AC microgrid. In: Proceedings of the IEEE conference on control applications

    Google Scholar 

  6. Capizzi G, Tina G (2007) Long-term operation optimization of integrated generation systems by fuzzy logic-based management. Energy 32(7):1047–1054

    Article  Google Scholar 

  7. de Almeida RG, Peças Lopes JA, Barreiros JAL (2004) Improving power system dynamic behavior through doubly fed induction machines controlled by static converter using fuzzy control. IEEE Trans Power Syst 19(4):1942–1950

    Article  Google Scholar 

  8. Díaz-González F, Sumper A, Gomis-Bellmunt O, Villafáfila-Robles R (2012) A review of energy storage technologies for wind power applications. Renew Sustain Energy Rev 16(4):2154–2171

    Article  Google Scholar 

  9. Discover Battery (2018) D121000BD AGM series features & benefits. http://discoverbattery.com/assets/dropbox/Datasheets/en/D121000BD.pdf. Cited 15 Jun 2018

  10. Evans A, Strezov V, Evans TJ (2012) Assessment of utility energy storage options for increased renewable energy penetration. Renew Sustain Energy Rev 16(6):4141–4147

    Article  Google Scholar 

  11. Ferreira HL, Garde R, Fulli G, Kling W, Peças Lopes J (2013) Characterisation of electrical energy storage technologies. Energy 53:288–298

    Article  Google Scholar 

  12. Gallo AB, Simões-Moreira JR, Costa HKM, Santos MM, Moutinho dos Santos E (2016) Energy storage in the energy transition context: a technology review. Renew Sustain Energy Rev 65:800–822

    Article  Google Scholar 

  13. Guney MS, Tepe Y (2017) Classification and assessment of energy storage systems. Renew Sustain Energy Rev 75:1187–1197

    Article  Google Scholar 

  14. Guo Z, Zhao J, Zhang W, Wang J (2011) A corrected hybrid approach for wind speed prediction in Hexi Corridor of China. Energy 36(3):1668–1679

    Article  Google Scholar 

  15. Gutiérrez-Martín F, Da Silva-Álvarez RA, Montoro-Pintado P (2013) Effects of wind intermittency on reduction of \(CO_{2}\) emissions: the case of the Spanish power system. Energy 61:108–117

    Article  Google Scholar 

  16. Hadjipaschalis I, Poullikkas A, Efthimiou V (2009) Overview of current and future energy storage technologies for electric power applications. Renew Sustain Energy Rev 13:1513–1522

    Article  Google Scholar 

  17. Hajizadeh A, Soltani M, Norum LE (2017) Intelligent power control of DC microgrid. In: Proceedings of the IEEE international conference on ubiquitous wireless broadband

    Google Scholar 

  18. Hassan SZ, Li H, Kamal T, Mumtaz S, Khan L (2016) Fuel cell/electrolyzer/ultra-capacitor hybrid power system: focus on integration, power control and grid synchronization. In: Proceedings of the international Bhurban conference on applied sciences and technology

    Google Scholar 

  19. Hassan SZ, Li H, Cagriyener S, Kamal T, Mufti GM, Waseem MH, Gohar H (2017) Integration and simulation of wind with hydrogen/supercapacitor storage hybrid system. In: Proceedings of the international conference on electrical engineering

    Google Scholar 

  20. Hassan SZ, Li H, Kamal T, Abbas MO, Khan MA, Mufti GM (2017) An intelligent pitch angle control of wind turbine. In: Proceedings of the international symposium on recent advances in electrical engineering

    Google Scholar 

  21. Heier S (1998) Grid integration of wind energy conversion systems. Wiley, West Sussex, UK

    Google Scholar 

  22. Hong YY, Chang HL, Chiu CS (2010) Hour-ahead wind power and speed forecasting using simultaneous perturbation stochastic approximation (SPSA) algorithm and neural network with fuzzy inputs. Energy 35(9):3870–3876

    Article  Google Scholar 

  23. Jerbi L, Krichen L, Ouali A (2009) A fuzzy logic supervisor for active and reactive power control of a variable speed wind energy conversion system associated to a flywheel storage system. Electr Power Syst Res 79(6):919–925

    Article  Google Scholar 

  24. Kamal T, Hassan SZ, Hui L, Awais M (2015) Design and power control of fuel cell/electrolyzer/microturbine/ultra-capacitor hybrid power plant. In: Proceedings of the international conference on emerging technologies

    Google Scholar 

  25. Kamel RM, Chaouachi A, Nagasaka K (2010) Wind power smoothing using fuzzy logic pitch controller and energy capacitor system for improvement micro-grid performance in islanding mode. Energy 35(5):2119–2129

    Article  Google Scholar 

  26. Kavasseri RG, Seetharaman K (2009) Day-ahead wind speed forecasting using f-ARIMA models. Renew Energy 34(5):1388–1393

    Article  Google Scholar 

  27. Kazemi MV, Moradi M, Kazemi RV (2012) Minimization of powers ripple of direct power controlled DFIG by fuzzy controller and improved discrete space vector modulation. Electr Power Syst Res 89:23–30

    Article  Google Scholar 

  28. Krause PC, Wasynczuk O, Sudhoff SD (2002) Analysis of electric machinery and drive systems. Wiley, New York, USA

    Book  Google Scholar 

  29. Maxwell Technologies Products catalog (2016) BMOD0063 P125 User Manual. http://www.maxwell.com/images/documents/MANUAL_HTM125_20BMOD0063_1014343_8.pdf. Cited 15 Jun 2018

  30. Mi Y, Zhang H, Fu Y, Wang C, Loh PC, Wang P (2018) Intelligent power sharing of DC isolated microgrid based on fuzzy sliding mode droop control. IEEE Trans Smart Grid. https://doi.org/10.1109/TSG.2018.2797127

    Article  Google Scholar 

  31. Pandey K, Bharath KVS (2017) Intelligent approach for active and reactive power control in doubly fed induction generator wind turbine system. In: Proceedings of the India international conference on power electronics

    Google Scholar 

  32. Pichan M, Rastegar H, Monfared M (2013) Two fuzzy-based direct power control strategies for doubly-fed induction generators in wind energy conversion systems. Energy 51:154–162

    Article  Google Scholar 

  33. Rahim AHMA, Nowicki EP (2012) Supercapacitor energy storage system for fault ride-through of a DFIG wind generation system. Energy Convers Manag 59:96–102

    Article  Google Scholar 

  34. Sarrias R, Fernández LM, García CA, Jurado F (2012) Coordinate operation of power sources in a doubly-fed induction generator wind turbine/battery hybrid power system. J Power Sources 205:354–366

    Article  Google Scholar 

  35. Shrinath K, Paramasivam S, Palanisamy K (2017) An intelligent self-tuning fuzzy logic controller for pitch angle control for a wind turbine fed induction generator. In: Proceedings of the innovations in power and advanced computing technologies

    Google Scholar 

  36. Slootweg JG, Kling WL (2003) Wind power: modelling and impact on power system dynamics. TU Delft, Netherlands PhD thesis

    Google Scholar 

  37. Tamalouzt S, Benyahia N, Rekioua T, Rekioua D, Abdessemed R (2016) Performances analysis of WT-DFIG with PV and fuel cell hybrid power sources system associated with hydrogen storage hybrid energy system. Int J Hydrog Energy 41(45):21006–21021

    Article  Google Scholar 

  38. Teleke S, Baran ME, Huang AQ, Bhattacharya S, Anderson L (2009) Control strategies for battery energy storage for wind farm dispatching. IEEE Trans Energy Convers 24(3):725–732

    Article  Google Scholar 

  39. Tremblay O, Dessaint LA (2009) Experimental validation of a battery dynamic model for EV applications. World Electr Veh J 3(2):289–298

    Article  Google Scholar 

  40. Varanasi J, Tripathi MM (2016) Artificial neural network based wind speed & power forecasting in US wind energy farms. In: Proceedings of the IEEE international conference on power electronics, intelligent control and energy systems

    Google Scholar 

  41. Wei L, Joos G, Belanger J (2010) Real-time simulation of a wind turbine generator coupled with a battery supercapacitor energy storage system. IEEE Trans Ind Electron 57(4):1137–1145

    Article  Google Scholar 

  42. Yazdani A, Iravani R (2010) Voltage-sourced converters in power systems: modeling, control and applications. Wiley, New Jersey, USA

    Book  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Engineering in Automation, Electronics and Computer Architecture & Networks, Research Group in Electrical Technologies for Sustainable and Renewable Energy (PAIDI-TEP-023), University of Cádiz, 11202, EPS Algeciras, Algeciras (Cádiz), Spain

    Raúl Sarrias-Mena

  2. Department of Electrical Engineering, Research Group in Electrical Technologies for Sustainable and Renewable Energy (PAIDI-TEP-023), University of Cádiz, 11202, EPS Algeciras, Algeciras (Cádiz), Spain

    Luis M. Fernández-Ramírez & Carlos Andrés García-Vázquez

  3. Department of Electrical Engineering, Research Group in Research and Electrical Technology (PAIDI-TEP-152), University of Jaen, 23700, EPS Linares, Linares (Jaen), Spain

    Francisco Jurado

Authors
  1. Raúl Sarrias-Mena
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  2. Luis M. Fernández-Ramírez
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  3. Carlos Andrés García-Vázquez
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  4. Francisco Jurado
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Corresponding author

Correspondence to Luis M. Fernández-Ramírez .

Editor information

Editors and Affiliations

  1. Faculty of Automation and Computers, “Politehnica” University of Timișoara, Timișoara, Romania

    Radu-Emil Precup

  2. Department of Electrical and Electronics Engineering, Sakarya University, Serdivan, Sakarya, Turkey

    Tariq Kamal

  3. School of Electrical Engineering, Chongqing University, Chongqing, China

    Syed Zulqadar Hassan

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Sarrias-Mena, R., Fernández-Ramírez, L.M., García-Vázquez, C.A., Jurado, F. (2019). Design of a Supervisory Control System Based on Fuzzy Logic for a Hybrid System Comprising Wind Power, Battery and Ultracapacitor Energy Storage System. In: Precup, RE., Kamal, T., Zulqadar Hassan, S. (eds) Advanced Control and Optimization Paradigms for Wind Energy Systems. Power Systems. Springer, Singapore. https://doi.org/10.1007/978-981-13-5995-8_8

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  • DOI: https://doi.org/10.1007/978-981-13-5995-8_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-5994-1

  • Online ISBN: 978-981-13-5995-8

  • eBook Packages: EnergyEnergy (R0)

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