Intelligent Power System Frequency Regulations Concerning the Integration of Wind Power Units

As the use of wind power turbines increases worldwide, there is a rising interest on their impacts on power system operation and control. Frequency regulation in interconnected networks is one of the main challenges posed by wind turbines in modern power systems. The wind power fluctuation negatively contributes to the power imbalance and frequency deviation. Significant interconnection frequency deviations can cause under/over frequency relaying and disconnect some loads and generations. Under unfavorable conditions, this may result in a cascading failure and system collapse.

[1]  B. R. Harita,et al.  AN ESTIMATOR ALGORITHM FOR LEARNING AUTOMATA WITH CHANGING NUMBER OF ACTIONS , 1988 .

[2]  Anastasios G. Bakirtzis,et al.  Prediction and evaluation of the performance of wind-diesel energy systems , 1996 .

[3]  Takayuki Suzuki,et al.  Power Control of Induction Generator by V/F control for Wind Energy Conversion System , 1998 .

[4]  Kwang Y. Lee,et al.  Development of a stack simulation model for control study on direct reforming molten carbonate fuel cell power plant , 1999 .

[5]  Gerhard Weiss,et al.  Multiagent systems: a modern approach to distributed artificial intelligence , 1999 .

[6]  R. G. Colclaser,et al.  Transient modeling and simulation of a tubular solid oxide fuel cell , 1999 .

[7]  R. Chedid,et al.  Adaptive fuzzy control for wind-diesel weak power systems , 2000, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).

[8]  Naruhito Kodama,et al.  The power variation control of a wind generator by using probabilistic optimal control , 2001 .

[9]  Yannis L. Karnavas,et al.  AGC for autonomous power system using combined intelligent techniques , 2002 .

[10]  Takashi Hiyama,et al.  Multi-agent based control and operation of distribution system with dispersed power sources , 2002, IEEE/PES Transmission and Distribution Conference and Exhibition.

[11]  Takashi Hiyama,et al.  Multi-agent based automatic generation control of isolated stand alone power system , 2002, Proceedings. International Conference on Power System Technology.

[12]  P. S. Nagendra Rao,et al.  A reinforcement learning approach to automatic generation control , 2002 .

[13]  Aysen Demiroren,et al.  The application of NN technique to automatic generation control for the power system with three areas including smes units , 2003 .

[14]  Nikos Vlassis,et al.  A Concise Introduction to Multiagent Systems and Distributed AI , 2003 .

[15]  Demirören.  Automatic Generation Control for Power System with SMES by Using Neural Network Controller , 2003 .

[16]  T. Gjengedal.  System control of large scale wind power by use of automatic generation control (AGC) , 2003, CIGRE/IEEE PES International Symposium Quality and Security of Electric Power Delivery Systems, 2003. CIGRE/PES 2003..

[17]  D. Ernst,et al.  Power systems stability control: reinforcement learning framework , 2004, IEEE Transactions on Power Systems.

[18]  A. Feliachi,et al.  CPS1 and CPS2 compliant wedge-shaped model predictive load frequency control , 2004, IEEE Power Engineering Society General Meeting, 2004..

[19]  J. Ritchie,et al.  Dynamic frequency control with increasing wind generation , 2004, IEEE Power Engineering Society General Meeting, 2004..

[20]  G. Joós,et al.  Transient Modeling and Comparison of Wind Generator Topologies , 2005 .

[21]  Richard S. Sutton,et al.  Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.

[22]  A. Mullane,et al.  Frequency control and wind turbine technologies , 2005, IEEE Transactions on Power Systems.

[23]  M. O'Malley,et al.  The inertial response of induction-machine-based wind turbines , 2005, IEEE Transactions on Power Systems.

[24]  Hannele Holttinen,et al.  Hourly wind power variations in the Nordic countries , 2005 .

[25]  P. S. Nagendra Rao,et al.  Reinforcement learning controllers for automatic generation control in power systems having re-heat units with GRC and dead-band , 2006 .

[26]  Pingkang Li,et al.  Fuzzy Logic Control Optimal Realization Using GA for Multi-Area AGC Systems , 2006 .

[27]  T. Funabashi,et al.  Oscillation frequency control based on H/sub /spl infin// controller for a small power system using renewable energy facilities in isolated island , 2006, 2006 IEEE Power Engineering Society General Meeting.

[28]  Bart De Schutter,et al.  Multi-Agent Reinforcement Learning: A Survey , 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

[29]  S. Mathew.  Wind Energy: Fundamentals, Resource Analysis and Economics , 2006 .

[30]  Imthias Ahamed T.P.,et al.  A Neural Network Based Automatic Generation Controller Design through Reinforcement Learning , 2006 .

[31]  J.A. Ferreira,et al.  Wind turbines emulating inertia and supporting primary frequency control , 2006, IEEE Transactions on Power Systems.

[32]  P. S. Nagendra Rao,et al.  A neural network based automatic generation control design through reinforcement learning , 2006 .

[33]  Boon-Teck Ooi,et al.  Estimation of Wind Penetration as Limited by Frequency Deviation , 2006, IEEE Transactions on Energy Conversion.

[34]  J.A. Ferreira,et al.  Primary power/frequency control with wind turbines and fuel cells , 2006, 2006 IEEE Power Engineering Society General Meeting.

[35]  S. Iwamoto,et al.  New load frequency control method suitable for large penetration of wind power generations , 2006, 2006 IEEE Power Engineering Society General Meeting.

[36]  Lennart Söder,et al.  Minimizing regulation costs in multi‐area systems with uncertain wind power forecasts , 2006 .

[37]  A. Feliachi,et al.  Stability enhancement through reinforcement learning: Load frequency control case study , 2007, 2007 iREP Symposium - Bulk Power System Dynamics and Control - VII. Revitalizing Operational Reliability.

[38]  Hassan Bevrani,et al.  Robust load–frequency regulation: A real‐time laboratory experiment , 2007 .

[39]  Bart De Schutter,et al.  A Comprehensive Survey of Multiagent Reinforcement Learning , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[40]  Boon Teck Ooi,et al.  Impacts of Wind Power Minute-to-Minute Variations on Power System Operation , 2008, IEEE Transactions on Power Systems.

[41]  E. Vittal,et al.  Varying penetration ratios of wind turbine technologies for voltage and frequency stability , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[42]  H. Bevrani,et al.  On Load–Frequency Regulation With Time Delays: Design and Real-Time Implementation , 2009, IEEE Transactions on Energy Conversion.

[43]  Hassan Bevrani,et al.  Robust Power System Frequency Control , 2009 .

[44]  L. Buşoniu,et al.  A comprehensive survey of multi-agent reinforcement learning , 2011 .