Voltage Coordination via Communication in Large-Scale Multi-Area Power Systems. Part II: Simulation Results

Article Preview

Abstract:

This two-part paper deals with the coordination of the control actions in a network of many interacting components, where each component is controlled by independent control agents. As a case study we consider voltage control in large electric power systems where ever-increasing pressures from the liberalization and globalization of the electricity market has led to partitioning the power system into multiple areas each operated by an independent Transmission System Operator (TSO). Coordination of local control actions taken by those TSOs is a very challenging problem as poorly coordinated operation of TSOs may endanger the power system security by increasing the risk of blackouts. This second part of the paper presents simulation results on a 12-bus 3-area test system, using the distributed model predictive control paradigm in order to design a coordinating model-based feedback controller. Coordination requires that each agent has some information on what the future evolution of its power flows to and from its neighbors will be. It will be shown that how the communication between agents can avoid voltage collapse in circumstances where classical uncoordinated controllers fail.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

7183-7189

Citation:

Online since:

January 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] T. V. Cutsem and C. Vournas, Voltage stability of electric power systems, Power electronics and power systems series, Kluwer Academic Publishers, (1998).

DOI: 10.1007/978-0-387-75536-6

Google Scholar

[2] F. Capitanescu, B. Otomega, H. Lefebvre, V. Sermanson, T. V. Cutsem Decentralized tap changer blocking and load shedding against voltage instability: prospective tests on the RTE system, International journal of electrical power and energy systems, (2009).

DOI: 10.1016/j.ijepes.2009.03.025

Google Scholar

[3] U.S. -Canada power system outage task force, Final report on the August 14, 2003 blackout in the United States and Canada: Causes and recommendations, (2004).

Google Scholar

[4] J. M. Maciejowski, Predictive control with constraints, Pearson Education POD, (2002).

Google Scholar

[5] A. N. Venkat, I. A. Hiskens, J. B. Rawlings, S. J. Wright, Distributed MPC strategies with application to power system automatic generation control, IEEE transactions on control systems technology, vol. 16, no. 6, pp.1192-1206, Nov. (2008).

DOI: 10.1109/tcst.2008.919414

Google Scholar

[6] R. Scattolini, Architectures for distributed and hierarchical model predictive control–A review, Journal of process control, (2009).

Google Scholar

[7] E. Camponogara, D. Jia, B. H. Krogh, and S. Talukdar, Distributed model predictive control, IEEE control systems magazine, vol. 22, no. 1, pp.44-52, Feb. (2002).

Google Scholar

[8] M. Larsson, The ABB power transmission test case, Technical report, (2002).

Google Scholar