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

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.

[1]  Olivier Tremblay,et al.  Experimental validation of a battery dynamic model for EV applications , 2009 .

[2]  Jianzhou Wang,et al.  A corrected hybrid approach for wind speed prediction in Hexi Corridor of China , 2011 .

[3]  G. Joos,et al.  Supercapacitor Energy Storage for Wind Energy Applications , 2007, IEEE Transactions on Industry Applications.

[4]  J.A.L. Barreiros,et al.  Improving power system dynamic behavior through doubly fed induction machines controlled by static converter using fuzzy control , 2004, IEEE Transactions on Power Systems.

[5]  Giacomo Capizzi,et al.  Long-term operation optimization of integrated generation systems by fuzzy logic-based management , 2007 .

[6]  Reza Iravani,et al.  Voltage-Sourced Converters in Power Systems: Modeling, Control, and Applications , 2010 .

[7]  Hans Knudsen,et al.  Large penetration of wind and dispersed generation into Danish power grid , 2007 .

[8]  Mohammad Verij Kazemi,et al.  Minimization of powers ripple of direct power controlled DFIG by fuzzy controller and improved discrete space vector modulation , 2012 .

[9]  Andreas Sumper,et al.  A review of energy storage technologies for wind power applications , 2012 .

[10]  Fernando Gutiérrez-Martín,et al.  Effects of wind intermittency on reduction of CO2 emissions: The case of the Spanish power system , 2013 .

[11]  Hui Li,et al.  Integration and simulation of wind with hydrogen/supercapacitor storage hybrid system , 2017, 2017 International Conference on Electrical Engineering (ICEE).

[12]  Olimpo Anaya-Lara,et al.  Wind Energy Generation: Modelling and Control , 2009 .

[13]  Amin Hajizadeh,et al.  Intelligent power control of DC microgrid , 2017, 2017 IEEE 17th International Conference on Ubiquitous Wireless Broadband (ICUWB).

[14]  Hamidreza Zareipour,et al.  Energy storage for mitigating the variability of renewable electricity sources: An updated review , 2010 .

[15]  Huei-Lin Chang,et al.  Hour-ahead wind power and speed forecasting using simultaneous perturbation stochastic approximation (SPSA) algorithm and neural network with fuzzy inputs , 2010 .

[16]  Laiq Khan,et al.  Fuel Cell/Electrolyzer/Ultra-capacitor hybrid power system: Focus on integration, power control and grid synchronization , 2016, 2016 13th International Bhurban Conference on Applied Sciences and Technology (IBCAST).

[17]  Sathans,et al.  Fuzzy based intelligent frequency control strategy in standalone hybrid AC microgrid , 2014, 2014 IEEE Conference on Control Applications (CCA).

[18]  Raúl Sarrias,et al.  Coordinate operation of power sources in a doubly-fed induction generator wind turbine/battery hybrid power system , 2012 .

[19]  Vladimir Strezov,et al.  Assessment of utility energy storage options for increased renewable energy penetration , 2012 .

[20]  Scott D. Sudhoff,et al.  Analysis of Electric Machinery and Drive Systems , 1995 .

[21]  João Peças Lopes,et al.  Characterisation of electrical energy storage technologies , 2013 .

[22]  D. Rekioua,et al.  Performances analysis of WT-DFIG with PV and fuel cell hybrid power sources system associated with hydrogen storage hybrid energy system , 2016 .

[23]  Hui Li,et al.  Design and power control of fuel cell/electrolyzer/microturbine/ultra-capacitor hybrid power plant , 2015, 2015 International Conference on Emerging Technologies (ICET).

[24]  Mukrimin Sevket Guney,et al.  Classification and assessment of energy storage systems , 2017 .

[25]  M.M. Tripathi,et al.  Artificial Neural Network based wind speed & power forecasting in US wind energy farms , 2016, 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES).

[26]  Abderrazak Ouali,et al.  A fuzzy logic supervisor for active and reactive power control of a variable speed wind energy conversion system associated to a flywheel storage system , 2009 .

[27]  Siegfried Heier,et al.  Grid Integration of Wind Energy Conversion Systems , 1998 .

[28]  Kurukuru Varaha Satya Bharath,et al.  Intelligent approach for active and reactive power control in doubly fed induction generator wind turbine system , 2016, 2016 7th India International Conference on Power Electronics (IICPE).

[29]  Rashad M. Kamel,et al.  Wind power smoothing using fuzzy logic pitch controller and energy capacitor system for improvement Micro-Grid performance in islanding mode , 2010 .

[30]  Hui Li,et al.  An intelligent pitch angle control of wind turbine , 2017, 2017 International Symposium on Recent Advances in Electrical Engineering (RAEE).

[31]  A. B. Gallo,et al.  Energy storage in the energy transition context: A technology review , 2016 .

[32]  S. Bhattacharya,et al.  Control Strategies for Battery Energy Storage for Wind Farm Dispatching , 2009, IEEE Transactions on Energy Conversion.

[33]  K. Palanisamy,et al.  An intelligent self-tuning fuzzy logic controller for pitch angle control for a wind turbine fed induction generator , 2017, 2017 Innovations in Power and Advanced Computing Technologies (i-PACT).

[34]  Wei Li,et al.  Real-Time Simulation of a Wind Turbine Generator Coupled With a Battery Supercapacitor Energy Storage System , 2010, IEEE Transactions on Industrial Electronics.

[35]  Yang Mi,et al.  Intelligent Power Sharing of DC Isolated Microgrid Based on Fuzzy Sliding Mode Droop Control , 2019, IEEE Transactions on Smart Grid.

[36]  A.H.M.A. Rahim,et al.  Supercapacitor energy storage system for fault ride-through of a DFIG wind generation system , 2012 .

[37]  Andreas Poullikkas,et al.  Overview of current and future energy storage technologies for electric power applications , 2009 .

[38]  J. G. Slootweg,et al.  Wind Power: Modelling and Impact on Power System Dynamics , 2003 .

[39]  R. Kavasseri,et al.  Day-ahead wind speed forecasting using f-ARIMA models , 2009 .

[40]  Reza Iravani,et al.  Voltage-Sourced Converters in Power Systems: Modeling, Control, and Applications , 2010 .

[41]  Mohammad Monfared,et al.  Two fuzzy-based direct power control strategies for doubly-fed induction generators in wind energy conversion systems , 2013 .