Abstract
This chapter proposes a framework for controlling power systems involving two types of control actions: first swing and damping controls. The problem is addressed with control agents having each a specific objective. The agents concur to provide system-wide control. A Wide-Area Measurement System provides the information necessary at each agent using its own representation of the system. First swing controls act as special protection systems in multiple time scales and channels. Damping controls rely on low order dynamic multiple input single output MISO controllers between selected input and output channels at each control agent. The design objectives of damping controls are to mimic the relevant dynamics of linear state feedback. Structural constraints are accounted by a design based on the best measurements available at each agent.
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References
Trudel G, Bernard S, Scott G (1999) Hydro-Québec’s defense plan against extreme contingencies. IEEE Trans. on Power Systems, vol 14, pp 958–966.
Taylor CW, Lefebvre S (1991) HVDC controls for system dynamic performance. IEEE Trans. on Power Systems, vol 6, pp 743–752.
Kundur P (1994) Power system stability and control. McGraw-Hill.
CIGRE Task Force 38.01.07 (1996) Control of power system oscillations. CIGRE Technical Brochure.
IntelliTEAM ® Overview of Operations. EnergyLine Systems, Alameda, CA, http://www.energvline.com
Huang JA, Valette A, Beaudoin M, Morison K, Moshref A, Provencher M, Sun J (2002) An intelligent system for advanced dynamic security assessment. International Conference on Power System Technology, vol 1, pp 220–224.
Wildberger AM (1997) Complex adaptive systems : concepts and power industry applications. IEEE Trans. on Control Systems, December, pp 77–88
Hauer JF (1991) Application of Prony analysis to the determination of modal content and equivalent models for measured power system response. IEEE Trans. on Power Systems, vol 6, pp 1062–1068
Sanchez-Gasca JJ, Chow JH (1999) Performance comparison of three identification methods for the analysis of electromechanical oscillations. IEEE Trans. on Power Systems, vol 14, pp 995–1002
Kamwa I, Trudel G, Gerin-Lajoie L (1996) Low-Order black-box models for control system design in large power systems. IEEE Trans. on Power Systems, vol 11, pp 303–311
Yusof SB, Rogers GJ, Alden RTH (1993) Slow coherency based network partitioning including load buses. IEEE Trans. on Power Systems, vol 8, pp 1375–1382
Lefebvre S (2000) Dynamic output compensation between selected channels in power systems. Part 1: The framework. Electrical Power and Energy Systems, vol 22, pp 155–163
Lefebvre S (2000) Dynamic output compensation between selected channels in power Systems. Part 2: Applications. Electrical Power and Energy Systems, vol 22, pp 165–178
Kamwa I, Grondin R, Hebert Y (2001) Wide-area measurement based stabilizing control of large power systems — A decentralized/hierarchical approach. IEEE Trans. on Power Systems, vol 16, no 1
Park YM, Moon UC, Lee KY (1996) A self-organizing power system stabilizer using fuzzy auto-regressive moving average (FARMA) model. IEEE Trans. on Energy Conversion, vol 11, pp 442–448
Park YM, Choi MS, Lee KY (1996) A neural network-based power system stabilizer using power flow characteristics. IEEE Trans. on Energy Conversion, vol 11, pp 435–441
Cui X, Shin KG (1991) Intelligent coordination of multiple systems with neural networks. IEEE Trans. Man and Cybernetics, vol 21, pp 1488–1497
Ning W, Shuqing W (1997) Neuro-intelligent coordination control for a unit power plant. IEEE International Conference on Intelligent Processing Systems, vol 1, pp 750–753
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© 2003 Springer-Verlag Berlin Heidelberg
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Lefebvre, S. (2003). Dynamic Output Compensation between Selected Channels in Power Systems. In: Autonomous Systems and Intelligent Agents in Power System Control and Operation. Power Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05955-5_8
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DOI: https://doi.org/10.1007/978-3-662-05955-5_8
Publisher Name: Springer, Berlin, Heidelberg
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