A review of output power smoothing methods for wind energy conversion systems

Wind energy is inexhaustible renewable. Unlike conventional fossil fuels, wind energy is clean, abundant energy that will be available for future generations. However, wind speed is a highly stochastic component which can deviate very quickly. Output power of the wind energy conversion system (WECS) is proportional to the cube of wind speed, which causes the output power fluctuation of the wind turbine. The power fluctuation causes frequency fluctuation and voltage flicker inside the power grid. In order to reduce the power fluctuation, various approaches have been proposed in the last decades. This article deals with the review of several power smoothing strategies for the WECS. Power smoothing methods of the WECS are primarily separated into two categories such as energy storage based power smoothing method and without energy storage based power smoothing method. The main objectives of this paper are to introduce operating principles for different power smoothing methods. The energy storage based power smoothing method is effective but installation and maintenance costs of a storage device are very high. According to the literatures review, without energy storage based power smoothing method can reduce the cost of the WECS extensively. Various methods have been proposed to generate a smooth output power of the WECS without energy storage devices. Simulation results are compared among the available methods. From the review of simulation results, the kinetic energy of the inertia control method is the highly efficient power smoothing approach.

[1]  Tomonobu Senjyu,et al.  A Fuzzy-Logic Based Output Power Smoothing Method of WECS with Permanent Magnet Synchronous Generator using Inertia of Wind Turbine , 2011 .

[2]  Subhashish Bhattacharya,et al.  Optimal Control of Battery Energy Storage for Wind Farm Dispatching , 2010, IEEE Transactions on Energy Conversion.

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

[4]  T. Funabashi,et al.  Output power leveling of wind generation system using inertia of wind turbine , 2008, 2008 IEEE International Conference on Sustainable Energy Technologies.

[5]  T. Nanahara,et al.  Analysis of data obtained in demonstration test about battery energy storage system to mitigate output fluctuation of wind farm , 2009, 2009 CIGRE/IEEE PES Joint Symposium Integration of Wide-Scale Renewable Resources Into the Power Delivery System.

[6]  Tomonobu Senjyu,et al.  Gain-Scheduled ${\cal H}_{\infty}$ Control for WECS via LMI Techniques and Parametrically Dependent Feedback Part I: Model Development Fundamentals , 2011, IEEE Transactions on Industrial Electronics.

[7]  N. Hosseinzadeh,et al.  Fuzzy logic systems for pitch angle controller for smoothing wind power fluctuations during below rated wind incidents , 2011, 2011 IEEE Trondheim PowerTech.

[8]  A. Sharma,et al.  Wind energy status in India: A short review , 2012 .

[9]  Omid Nematollahi,et al.  Assessment of wind energy in Iran: A review , 2012 .

[10]  Hans Bernhoff,et al.  Flywheel energy and power storage systems , 2007 .

[11]  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 .

[12]  T. Funabashi,et al.  Output power leveling of wind turbine generator by pitch angle control using adaptive control method , 2004, 2004 International Conference on Power System Technology, 2004. PowerCon 2004..

[13]  Mustafa Serdar Genç,et al.  A review on wind energy and wind–hydrogen production in Turkey: A case study of hydrogen production via electrolysis system supplied by wind energy conversion system in Central Anatolian Turkey , 2012 .

[14]  Hee-Sang Ko,et al.  Modeling and control of PMSG-based variable-speed wind turbine , 2010 .

[15]  A. Kusko,et al.  Stored energy - Short-term and long-term energy storage methods , 2007, IEEE Industry Applications Magazine.

[16]  A. Kusko,et al.  Short-term, long-term, energy storage methods for standby electric power systems , 2005, Fourtieth IAS Annual Meeting. Conference Record of the 2005 Industry Applications Conference, 2005..

[17]  Gerard Ledwich,et al.  Smoothing Output Power of a Doubly Fed Wind Turbine with an Energy Storage System , 2006 .

[18]  R. Takahashi,et al.  Smoothing control of wind power generator output by superconducting magnetic energy storage system , 2007, 2007 International Conference on Electrical Machines and Systems (ICEMS).

[19]  Q Li,et al.  On the Determination of Battery Energy Storage Capacity and Short-Term Power Dispatch of a Wind Farm , 2011, IEEE Transactions on Sustainable Energy.

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

[21]  Havva Balat,et al.  Contribution of green energy sources to electrical power production of Turkey: A review , 2008 .

[22]  I. Schmidt,et al.  Flywheel Energy Storage Drive for Wind Turbines , 2007, 2007 7th International Conference on Power Electronics and Drive Systems.

[23]  Tomonobu Senjyu,et al.  A minimal order observer based frequency control strategy for an integrated wind-battery-diesel power system , 2012 .

[24]  Robert H. Crawford,et al.  Life cycle energy and greenhouse emissions analysis of wind turbines and the effect of size on energy yield , 2009 .

[25]  M. Baran,et al.  Improved wind farm’s power availability by battery energy storage systems: modeling and control , 2008, 2008 34th Annual Conference of IEEE Industrial Electronics.

[26]  Atsushi Yona,et al.  Output Power Leveling of a Wind Generation System Using Inertia of a Wind Turbine , 2008, 2008 IEEE International Conference on Sustainable Energy Technologies.

[27]  Katsuhisa Yoshimoto,et al.  A Control Method of Charging Level for Battery Energy Storage System for Smoothing Output Fluctuation of Wind Power Generation , 2009 .

[28]  Tomonobu Senjyu,et al.  A fuzzy-based output power smoothing of WECS using short-term ahead prediction of wind speed , 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

[29]  Tomonobu Senjyu,et al.  Output power leveling of wind turbine Generator for all operating regions by pitch angle control , 2006 .

[30]  Andrew J. Chipperfield,et al.  An evaluation of wind energy potential at Kati Bandar, Pakistan , 2010 .

[31]  Bora Alboyaci,et al.  Electricity restructuring in Turkey and the share of wind energy production , 2008 .

[32]  Chee Wei Tan,et al.  A review of maximum power point tracking algorithms for wind energy systems , 2012 .

[33]  R.S. Bhatia,et al.  Battery Energy Storage System for Power Conditioning of Renewable Energy Sources , 2005, 2005 International Conference on Power Electronics and Drives Systems.

[34]  Xu Dehong Design of SMES Control System for Smoothing Power Fluctuations in Wind Farms , 2008 .

[35]  Dehong Xu,et al.  Applying SMES to smooth short-term power fluctuations in wind farms , 2008, 2008 34th Annual Conference of IEEE Industrial Electronics.

[36]  R. Shimada,et al.  Wind farms linked by SMES systems , 2005, IEEE Transactions on Applied Superconductivity.

[37]  El Madjid Berkouk,et al.  Control of wind generator associated to a flywheel energy storage system , 2008 .

[38]  G. Joos,et al.  Use of large capacity SMES to improve the power quality and stability of wind farms , 2004, IEEE Power Engineering Society General Meeting, 2004..

[39]  Eduard Muljadi,et al.  The History and State of the Art of Variable‐Speed Wind Turbine Technology , 2003 .

[40]  Mike Barnes,et al.  Power quality and stability improvement of a wind farm using STATCOM supported with hybrid battery energy storage , 2006 .

[41]  Adel Nasiri,et al.  Output Power Smoothing for Wind Turbine Permanent Magnet Synchronous Generators Using Rotor Inertia , 2008 .

[42]  Abderrazak Ouali,et al.  A fuzzy logic supervisor for active and reactive power control of a fixed speed wind energy conversion system , 2008 .

[43]  Subhashish Bhattacharya,et al.  Validation of battery energy storage control for wind farm dispatching , 2010, IEEE PES General Meeting.

[44]  A. Hepbasli,et al.  A review on the development of wind energy in Turkey , 2004 .

[45]  R. Jones,et al.  Bi-directional power control for flywheel energy storage system with vector-controlled induction machine drive , 1998 .

[46]  Sarah Harrison Gauging the pressure. , 2003, Nursing standard (Royal College of Nursing (Great Britain) : 1987).

[47]  M Parniani,et al.  Coordinated Control Approaches for Low-Voltage Ride-Through Enhancement in Wind Turbines With Doubly Fed Induction Generators , 2010, IEEE Transactions on Energy Conversion.

[48]  Tomonobu Senjyu,et al.  Fuzzy controller based output power leveling enhancement for a permanent magnet synchronous generator , 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

[49]  Andrey V. Savkin,et al.  A model predictive control approach to the problem of wind power smoothing with controlled battery storage , 2010 .

[50]  Toshiaki Murata,et al.  Application of STATCOM/BESS for wind power smoothening and hydrogen generation , 2009 .

[51]  S. A. Sherif,et al.  Wind energy and the hydrogen economy—review of the technology , 2005 .

[52]  Junji Tamura,et al.  Smoothing control of wind generator output fluctuations by PWM voltage source converter and chopper controlled SMES , 2011 .

[53]  Piotr Michalak,et al.  Wind energy development in the world, Europe and Poland from 1995 to 2009; current status and future perspectives , 2011 .

[54]  A. Nasiri,et al.  A novel speed control algorithm for PMSG wind turbines aimed at output power smoothing , 2008, 2008 Canadian Conference on Electrical and Computer Engineering.

[55]  Mohammad Tariq Iqbal,et al.  Modeling and control of a wind fuel cell hybrid energy system , 2003 .

[56]  Masafumi Miyatake,et al.  Power fluctuations suppression of stand-alone hybrid generation combining solar photovoltaic/wind turbine and fuel cell systems , 2008 .

[57]  M. A. Chowdhury,et al.  Smoothing wind power fluctuations by fuzzy logic pitch angle controller , 2012 .

[58]  T. Funabashi,et al.  Generating power leveling of renewable energy for small power system in isolated island , 2005, Proceedings of the 13th International Conference on, Intelligent Systems Application to Power Systems.

[59]  F. Dinçer,et al.  The analysis on wind energy electricity generation status, potential and policies in the world , 2011 .

[60]  Hamid Gualous,et al.  Frequency, thermal and voltage supercapacitor characterization and modeling , 2007 .

[61]  Jamshid Aghaei,et al.  RETRACTED: A review of energy storage systems in microgrids with wind turbines , 2013 .

[62]  T. Funabashi,et al.  Output power leveling of wind farm using pitch angle control with fuzzy neural network , 2006, 2006 IEEE Power Engineering Society General Meeting.

[63]  Fred Mitlitsky,et al.  Reversible (unitised) PEM fuel cell devices , 1999 .

[64]  L. Ran,et al.  Use of turbine inertia for power smoothing of wind turbines with a DFIG , 2004, 2004 11th International Conference on Harmonics and Quality of Power (IEEE Cat. No.04EX951).

[65]  S.M. Muyeen,et al.  Integration of an Energy Capacitor System With a Variable-Speed Wind Generator , 2009, IEEE Transactions on Energy Conversion.

[66]  Cumali İlkılıç,et al.  Determination and utilization of wind energy potential for Turkey , 2010 .

[67]  Toshiaki Murata,et al.  Application of energy capacitor system to wind power generation , 2008 .

[68]  Naomitsu Urasaki,et al.  Output Power Leveling of Wind Turbine Generator by Pitch Angle Control Using H8 Control , 2006 .

[69]  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 .

[70]  Marco Giugni,et al.  Social Protest and Policy Change: Ecology, Antinuclear, and Peace Movements in Comparative Perspective , 2004 .

[71]  Liao Yong An Active Power Smoothing Strategy for Direct-driven Permanent Magnet Synchronous Generator Based Wind Turbine Using Flywheel Energy Storage , 2010 .

[72]  R. Cardenas,et al.  Control strategy for power smoothing using vector controlled induction machine and flywheel , 2000 .

[73]  H. Hayashi,et al.  Test results of compensation for load fluctuation under a fuzzy control by a 1 kWh/1 MW SMES , 2001 .

[74]  Bimal K. Bose,et al.  Design and performance evaluation of a fuzzy logic based variable speed wind generation system , 1996 .

[75]  D. Ishak,et al.  Technical review of wind energy potential as small-scale power generation sources in Penang Island Malaysia , 2012 .

[76]  Aleksandar Simonović,et al.  Prospects of wind energy sector development in Serbia with relevant regulatory framework overview , 2012 .

[77]  Atsushi Yona,et al.  Power Fluctuation Reduction of Pitch-Regulated MW-Class PMSG based WTG System by Controlling Kinetic Energy , 2012 .

[78]  Roberto Cárdenas,et al.  Control strategies for enhanced power smoothing in wind energy systems using a flywheel driven by a vector-controlled induction machine , 2001, IEEE Trans. Ind. Electron..

[79]  Tomonobu Senjyu,et al.  Generating power leveling of renewable energy for small power system in isolated island , 2005 .

[80]  Tomonobu Senjyu,et al.  Terminal-voltage and output-power regulation of wind-turbine generator by series and parallel compensation using SMES , 2006 .

[81]  Dong-Choon Lee,et al.  Improved LVRT Capability and Power Smoothening of DFIG Wind Turbine Systems , 2011 .

[82]  Tomonobu Senjyu,et al.  Output power smoothing of PMSG-based wind energy conversion system , 2010, 2010 Conference Proceedings IPEC.

[83]  Tomonobu Senjyu,et al.  Output leveling of wind power generation system by EDLC energy storage system , 2006 .

[84]  Benoit Robyns,et al.  Control based on fuzzy logic of a flywheel energy storage system associated with wind and diesel generators , 2003, Math. Comput. Simul..

[85]  Tomonobu Senjyu,et al.  Output power leveling of wind generation system using inertia for PM synchronous generator , 2009, 2009 International Conference on Power Electronics and Drive Systems (PEDS).

[86]  Hiroumi Saitoh,et al.  Smoothing Control of Wind Farm Output by Using Kinetic Energy of Variable Speed Wind Power Generators , 2009 .

[87]  Marta Molinas,et al.  Superconducting Magnetic Energy Storage (SMES) in power systems with renewable energy sources , 2010, 2010 IEEE International Symposium on Industrial Electronics.

[88]  J. Clare,et al.  Power smoothing in wind generation systems using a sensorless vector controlled induction Machine driving a flywheel , 2004, IEEE Transactions on Energy Conversion.

[89]  Arindam Ghosh,et al.  Enhancing the Stability of an Autonomous Microgrid Using DSTATCOM , 2008 .

[90]  A. Nasiri,et al.  Applications of super capacitors for PMSG wind turbine power smoothing , 2008, 2008 34th Annual Conference of IEEE Industrial Electronics.

[91]  Gholamreza Zahedi,et al.  Greener energy: Issues and challenges for Pakistan-hydel power prospective , 2012 .

[92]  Arif Hepbasli,et al.  Exergetic and exergoeconomic aspects of wind energy systems in achieving sustainable development , 2011 .

[93]  K. H. Solangi,et al.  A review on global wind energy policy , 2010 .

[94]  T Senjyu,et al.  A Coordinated Control Method to Smooth Wind Power Fluctuations of a PMSG-Based WECS , 2011, IEEE Transactions on Energy Conversion.

[95]  G. Mandic,et al.  Wind power smoothing using rotor inertia aimed at reducing grid susceptibility , 2008, 2008 34th Annual Conference of IEEE Industrial Electronics.

[96]  Shigeo Morimoto,et al.  Sensorless output maximization control for variable-speed wind generation system using IPMSG , 2003 .

[97]  T. S. Bhatti,et al.  A review on electrochemical double-layer capacitors , 2010 .