Module-Based Modeling and Stabilization of Electricity Infrastructure
In this chapter we introduce a module-based approach to modeling and controlling electricity infrastructure to achieve reliability of services. Nonuniform generator or load components are defined as modules and are represented in terms of their internal state variables and the interaction state variables between the modules and the transmission network. Therefore, it is possible to specify the dynamical performance sub-objectives of each module for a given range of variations in interaction variables. It is also possible ensure that the local sub-objectives are met through a combination of local sensing, actuation and global communication. This approach, compared with the present off-line worst-case simulation approach, provides a systematic means of analyzing and stabilizing the infrastructure dynamics with increasing penetration of dispersed sustainable energy resources such as wind and solar. An interactive communication protocol between the distributed modules and control center could be implemented for operating the system with pre-specified stability performance. Sufficient conditions on network properties are derived under which this interactive protocol between the transmission networks and the modules converges to a system-wide stable operation. A five node example demonstrates the integration of wind power into the existing electricity infrastructure with prespecified stability performance.
KeywordsWind Power Wind Farm Electric Power System Induction Machine Internal State Variable
Unable to display preview. Download preview PDF.
- 5.M. Cirrincione, M. Pucci, G. Cirrincione, and G.A. Capolino. A new adaptive integration methodology for estimating flux in induction machine drives. IEEE Transactions on Power Electronics, 19(1), January 2004.Google Scholar
- 7.K. Furushima, Y. Nawata, and M. Sadatomi. Prediction of photovoltaic (pv) power output considering weather effects. In Proceedings of the SOLAR, July 2006.Google Scholar
- 10.M. D. Ilić, L. Xie, U. A. Khan, and J. M. F. Moura. Modeling future cyber-physical energy systems. In Proceedings of IEEE Power and Energy Society General Meeting, Pittsburgh, Pennsylvania, July 2008.Google Scholar
- 11.M. D. Ilić and J. Zaborszky. Dynamics and Control of Large Electric Power Systems. Wiley Interscience, New York, New York, 2000.Google Scholar
- 12.P. Lancaster and M. Tismenetsky. The Theory of Matrices: Second Edition with Applications. Academic Press, London, UK, 1984.Google Scholar
- 13.R. D. Lorenz. A simplified approach to continuous on-line tuning of field-oriented induction machine drives. IEEE Transactions on Inducsty Applications, 26(3), May 1990.Google Scholar
- 17.D. D. Šiljak. Large-scale Dynamic Systems. North-Holland: New York, 1978.Google Scholar
- 18.G. Verghese and S. R. Sanders. Observers for flux estimation in induction machines. IEEE Transactions on Inducstrial Electronics, 35(1), February 1988.Google Scholar
- 20.L. Xie and M. D. Ilić. Reachability analysis of stochastic hybrid systems by optimal control. In NGInfra '08: Proceedings of the IEEE International Conference on Infrastructure Systems, Rotterdam, The Netherlands, November 2008.Google Scholar