Adaptive Neuro-Fuzzy Synchronization in Isolated Power Systems with High Wind Penetration
Michael Negnevitsky*, Dusan Nikolic**, and Martin de Groot***
*School of Engineering and ICT, University of Tasmania
Private Bag 65, Hobart, Tasmania 7001, Australia
4 Elizabeth Street, Hobart, Tasmania 7000, Australia
***HabiDapt Pty Ltd.
Cnr Vimiera & Pembroke Roads, Marsfield NSW 2122, Australia
Isolated power systems (IPSs) worldwide are traditionally powered by diesel generators that are very expensive to run and produce harmful emissions. In order to mitigate these problems, wind turbines are being introduced into existing IPSs. Although this integration has been reasonably effective at reducing running costs and emissions, high levels of wind penetration cause large system frequency variations, resulting in a prolonged synchronization process for newly dispatched diesel generators. Long synchronization can compromise the stability of a small IPS. This paper examines the diesel synchronization problem using a real IPS as a case study and offers a solution by introducing the concept of predictive synchronization based on adaptive neuro-fuzzy systems. Simulation results demonstrate a significant reduction in diesel generator synchronization times.
-  H. Sharma, S. Islam, C. V. Nayar, and T. Pryor, “Dynamic response of a remote area power system to fluctuating wind speed,” Power Engineering Society Winter Meeting, 2000, IEEE, Vol.1, pp. 499-504, 2000.
-  D. Jayaweera, G. Burt, and J. McDonald, “Customer Security Assessment in Distribution Networks With High Penetration of Wind Power,” IEEE Trans. on Power Systems, Vol.22, pp. 1360-1368, 2007.
-  C. Chun-Lung, “Optimal Wind-Thermal Generating Unit Commitment,” IEEE Trans. on Energy Conversion, Vol.23, pp. 273-280, 2008.
-  R. Karki and R. Billinton, “Reliability/cost implications of PV and wind energy utilization in small isolated power systems,” IEEE Trans. on Energy Conversion, Vol.16, pp. 368-373, 2001.
-  R. Doherty and M. O'Malley, “A new approach to quantify reserve demand in systems with significant installed wind capacity,” IEEE Trans. on Power Systems, Vol.20, pp. 587-595, 2005.
-  F. Katiraei and C. Abbey, “Diesel Plant Sizing and Performance Analysis of a Remote Wind-Diesel Microgrid,” Power Engineering Society General Meeting, 2007, IEEE, pp. 1-8, 2007.
-  M. Piekutowski, S. Gamble, and R. Willems, “A Road towards Autonomous Renewable Energy Supply, RAPS case,” CIGRE 2012, Paris, France, 2012.
-  G. Lalor, J. Ritchie, S. Rourke, D. Flynn, and M. J. O'Malley, “Dynamic frequency control with increasing wind generation,” Power Engineering Society General Meeting, 2004, IEEE, Vol.2, pp. 1715-1720, 2004.
-  D. Kottick, M. Blau, and D. Edelstein, “Battery energy storage for frequency regulation in an island power system,” IEEE Trans. on Energy Conversion, Vol.8, pp. 455-459, 1993.
-  A. Gargoom, H. Abu Mohammad Osman, M. E. Haque, and M. Negnevitsky, “Hybrid stand-alone power systems with hydrogen energy storage for isolated communities,” Transmission and Distribution Conference and Exposition, 2010 IEEE PES, pp. 1-6, 2010.
-  N. Hamsic, A. Schmelter, A. Mohd, E. Ortjohann, E. Schultze, A. Tuckey, and J. Zimmermann, “Increasing Renewable Energy Penetration in Isolated Grids Using a Flywheel Energy Storage System,” Int. Conf. on Power Engineering, Energy and Electrical Drives 2007 (POWERENG 2007), pp. 195-200, 2007.
-  X. Zhao, J. Ostergaard, and M. Togeby, “Demand as Frequency Controlled Reserve,” IEEE Trans. on Power Systems, Vol.26, pp. 1062-1071, 2011.
-  J. A. Short, D. G. Infield, and L. L. Freris, “Stabilization of Grid Frequency Through Dynamic Demand Control,” IEEE Trans. on Power Systems, Vol.22, pp. 1284-1293, 2007.
-  ABB-PowerCorp, Low-Load Diesel (LLD) product, Available:
http://www.pcorp.com.au [Accessed April 2016].
-  Woodward, SPM synchronisers product, Available:
www.woodward.com/synchronizers.aspx [Accessed April 2016].
-  ABB, Synchrotact Synchroniser product, Available:
http://www.abb.com [Accessed April 2016].
-  R. J. Best, D. J. Morrow, D. J. McGowan, and P. A. Crossley, “Synchronous Islanded Operation of a Diesel Generator,” IEEE Trans. on Power Systems, Vol.22, pp. 2170-2176, 2007.
-  R. Chedid, S. Karaki, and C. Chemali, “Adaptive fuzzy control for wind-diesel weak power systems,” Power Engineering Society Winter Meeting, 2000, IEEE, Vol.2, p. 1426, 2000.
-  H. Bevrani and P. R. Daneshmand, “Fuzzy Logic-Based Load-Frequency Control Concerning High Penetration of Wind Turbines,” Systems J., IEEE, Vol.6, pp. 173-180, 2012.
-  M. Marzband, A. Sumper, O. Gomis-Bellmunt, P. Pezzini, and M. Chindris, “Frequency control of isolated wind and diesel hybrid MicroGrid power system by using fuzzy logic controllers and PID controllers,” 2011 11th Int. Conf. on Electrical Power Quality and Utilisation (EPQU), pp. 1-6, 2011.
-  C. W. Potter and M. Negnevitsky, “Very short-term wind forecasting for Tasmanian power generation,” IEEE Trans. on Power Systems, Vol.21, pp. 965-972, 2006.
-  J. S. R. Jang, “ANFIS: adaptive-network-based fuzzy inference system,” IEEE Trans. on Systems, Man and Cybernetics, Vol.23, pp. 665-685, 1993.
-  M. Negnevitsky, Artificial Intelligence: A Guide to Intelligent Systems. Harlow, England: Addison Wesley, 2011.
This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.