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Full Description
The electric power industry is reaching a tipping point at which technological, organizational and societal changes are extremely hard to reconcile. Different views are taken by different communities and the taxonomies used are hard to relate.
This monograph considers the broad multi-disciplinary problem of providing sustainable and resilient electricity services. It introduces technology-agnostic unified modeling foundations and illustrates their use toward end-to-end cyber design for provable performance of complex electric energy systems. The role of cyber social-ecological energy systems (SEES) is formalized by using the language of large-scale dynamical systems and the key notion of interaction variables is introduced in support of their modeling as multilayered dynamical systems.
It is stressed that qualitatively different cyber designs are required for enabling performance of qualitatively different SEES architectures and in particular, it is proposed that composite control-based hierarchical control lends itself more naturally to supporting large-scale regulated monopolies, and that distributed multi-layered control with or without coordination is key to supporting SEES architectures comprising many decision makers. Today's hierarchical control is described as a particular case of hierarchical composite control. Having these formulations may help bridge R&D efforts across vastly multi-disciplinary communities working in the field of changing electric energy systems.
Contents
Introduction
2: Electric energy systems as social-ecological systems (SES)
3: Technological and social drivers of the electric energy systems unbundling
4: Emerging electric energy systems architectures
5: General dynamic model of a physical grid and its structure
6: Unified state space modeling for multi-layered system representation
7: General functional objectives in electric energy systems
8: Model-based hierarchical control for provable performance
9: Today's hierarchical control of bulk power systems (BPS)
10: Multi-layered distributed model and control design with minimal coordination
11: Conclusions
Acknowledgements
References
