Real-time impact of power balancing on power system operation with large scale integration of wind power

Highly wind power integrated power system requires continuous active power regulation to tackle the power imbalances resulting from the wind power forecast errors. The active power balance is maintained in real-time with the automatic generation control and also from the control room, where regulating power bids are activated manually. In this article, an algorithm is developed to simulate the activation of regulating power bids, as performed in the control room, during power imbalance between generation and load demand. In addition, the active power balance is also controlled through automatic generation control, where coordinated control strategy between combined heat and power plants and wind power plant enhances the secure power system operation. The developed algorithm emulating the control room response, to deal with real-time power imbalance, is applied and investigated on the future Danish power system model. The power system model takes the hour-ahead regulating power plan from power balancing model and the generation and power exchange capacities for the year 2020 into account. The real-time impact of power balancing in a highly wind power integrated power system is assessed and discussed by means of simulations for different possible scenarios.

[1]  A. von Jouanne,et al.  A methodology to enable wind farm participation in automatic generation control using energy storage devices , 2012, 2012 IEEE Power and Energy Society General Meeting.

[2]  Hong Shen,et al.  Study on the frequency control method and AGC model of wind power integration based on the full dynamic process simulation program , 2011, 2011 International Conference on Advanced Power System Automation and Protection.

[3]  Madeleine Gibescu,et al.  Performance of Automatic Generation Control Mechanisms with Large-Scale Wind Power , 2007 .

[4]  Jizhong Zhu,et al.  Analysis of regulating wind power for power systems , 2009, 2009 IEEE Power & Energy Society General Meeting.

[5]  P. Kundur,et al.  DYNAMIC MODELS FOR FOSSIL FUELED STEAM UNITS IN POWER SYSTEM STUDIES Working Group on Prime Mover and Energy Supply Models for System Dynamic Performance Studies , 1991 .

[6]  Kjetil Uhlen,et al.  Simulations of wind power integration with complementary power system planning tools , 2008 .

[7]  A. Mullane,et al.  An Assessment of the Impact of Wind Generation on System Frequency Control , 2010, IEEE Transactions on Power Systems.

[8]  Ieee Report,et al.  Dynamic Models for Steam and Hydro Turbines in Power System Studies , 1973 .

[9]  Poul Ejnar Sørensen IEC 61400-27. Electrical simulation models for wind power generation , 2011 .

[10]  Michael T. Manry,et al.  Comparison of very short-term load forecasting techniques , 1996 .

[11]  D. Kirschen,et al.  A Survey of Frequency and Voltage Control Ancillary Services—Part I: Technical Features , 2007, IEEE Transactions on Power Systems.

[12]  Poul Ejnar Sørensen,et al.  Dynamic model of frequency control in Danish power system with large scale integration of wind power , 2013 .