Abstract
This chapter introduces a systematic, structure-based modeling framework for analysis and control of electric power systems for processes evolving over mid- and long-term time horizons. Much simpler models than the detailed dynamics for control design at different hierarchical levels are obtained by applying both temporal and spatial separation. The aggregate models represent the net effect of interactions among interconnected regions on specific hierarchical levels. They are exact, since no assumptions about weak interconnections among the subsystems are made. Moreover, they are easily understood in terms of power flows among the regions.
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© 1996 Springer-Verlag London Limited
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Ilić, M.D., Liu, S. (1996). Structural Modeling and Control Design Using Interaction Variables. In: Hierarchical Power Systems Control. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-3461-9_4
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DOI: https://doi.org/10.1007/978-1-4471-3461-9_4
Publisher Name: Springer, London
Print ISBN: 978-1-4471-3463-3
Online ISBN: 978-1-4471-3461-9
eBook Packages: Springer Book Archive