On the Control of Re-Structured Electric Power Systems

  • Feliachi Ali (Director of the Advanced Power and Electricity Research Center (APERC) at West Virginia University)
  • Published : 2005.06.01

Abstract

The paper describes some of the challenges that face the control of nonlinear interconnected power systems. The challenges include the selection of appropriate control and information structures that could range from a completely decentralized to a fully centralized structure. Once a structure is proven to be feasible, the effectiveness of control signals needs to be assessed. Analytical tools are derived for this purpose in the first part of the paper, and they are illustrated with a case study that involves the design of a damping decentralized controller using a Thyristor Controlled Series Compensation device. The second part of the paper deals with the load following and tracking problem through automatic generation control for a system that has been re-structured or deregulated. This problem can be solved using a completely decentralized scheme. It is solved here using fuzzy rules and with an emphasis on compliance with NERC's standards and reduction of wear and tear of the equipment. It is illustrated with a test system that has three interconnected control areas. Finally, comments on the economics of control and the author's vision are presented.

Keywords

References

  1. X. Yang and A. Feliachi, 'Stabilization of interarea oscillation modes through excitation systems,' IEEE Trans. on Power Systems, vol. 9, no. 1, pp. 494-502, February 1994
  2. H. F. Wang, 'Selection of robust installing locations and feedback signals of FACTS-based stabilizers in multi-machine power systems,' IEEE Trans. on Power Systems, vol. 14, no. 2, pp. 569-574, May 1999
  3. R. D. Christie and A. Bose, 'Load frequency control issues in power system operations after deregulation,' IEEE Trans. on Power Systems, vol. 11, no. 3, pp. 1191-1200, August 1996
  4. North American Electric Reliability Council (NERC), 'Performance standard training document,' in Operating Manual, pp. psl-20, November 1996
  5. G. Gross and J. W. Lee, 'Analysis of load frequency control performance assessment criteria,' IEEE Trans. on Power Systems, vol. 16, no. 3, pp. 520-525, August 2001
  6. MathWorks, Fuzzy Logic Toolbox User'S Guide, 4th Printing, pp. 2-20, MA: The MathWorks, Inc., September 2000
  7. J. Kumar, K. H. Ng, and G. Sheble, 'AGC simulator for price-based operation part I: A model,' IEEE Trans. on Power Systems, vol. 12, no. 2, pp. 527-532, May 1997
  8. J. Kumar, K. H. Ng, and G. Sheble, 'AGC simulator for price-based operation part II: Case study results,' IEEE Trans. on Power Systems, vol. 12, no. 2, pp. 533-538, May 1997
  9. E. Hirst and B. Kirby, 'Ancillary-service details: regulation, load following, and generator response,' Tech. Rep. ORNL/CON-433, Oak Ridge National Laboratory, Oak Ridge, TN, Sep. 1996
  10. L. Fan, A. Feliachi, and K. Schoder 'Selection and design of a TCSC control signal in damping power system inter-area oscillations for multiple operating conditions,' Electric Power Systems Research Journal, vol. 62, no. 2, pp. 127-137, June 2002
  11. A. Feliachi and D. Rerkpreedapong, 'NERC compliant load frequency control design using fuzzy rules,' Electric Power Systems Research Journal. 2005