Journal ArticleDOI
Multilevel optimization of a hydro-thermal interconnected power system
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TLDR
In this paper, two closed-loop hierarchical control strategies are examined for the control of a two-area hydro-thermal power system model, where the control is obtained using the interaction prediction approach and structural perturbation method.Abstract:
Two closed-loop hierarchical control strategies are examined for the control of a two-area hydro-thermal power system model. The control is obtained using the interaction prediction approach and structural perturbation method. The first approach has been developed to provide optimal feedback control using an off-line decentralized calculation procedure. The second method is based on obtaining local feedback controllers for each subsystem on the first level by ignoring the interactions, then a global controller at the second level provides corrective signals to neutralize the interaction effects. In addition, the dynamic behaviour of the power system under the effect of non-linearities is also investigated. Finally, a two-area hydro-thermal power system is used to illustrate the approaches.read more
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Journal ArticleDOI
A distributed automation framework for plant-wide control, optimisation, scheduling and planning
Vladimir Havlena,Joseph Z. Lu +1 more
TL;DR: In this paper, the authors identify current open problems and trends in plant wide control and demonstrate a solution based on distributed, solution component based architecture for integrated process management, embracing the layers of Advanced Process Control, Real Time Optimisation and Planning & Scheduling, in selected application areas.
Proceedings ArticleDOI
Multilevel optimization control for large-scale systems using genetic algorithms
TL;DR: The proposed modijied approach to design multilevel controllers using structural perturbation technique for large-scale systems based on genetic algorithms is used successfully to control the behaviour of a two-area power system.
Proceedings ArticleDOI
Online multilevel controller structure for a class of dynamical systems
TL;DR: In this paper, a two-level optimization control algorithm based on the minimum variance approach is developed to control the dynamic behavior of large-scale interconnected subsystems under certain constraints, where the control action and adjoined parameters are obtained in the first level, the parameters of both the coordinator and interactions between subsystems are obtained.
References
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Journal ArticleDOI
A multilevel optimization of large-scale dynamic systems
TL;DR: In this article, a multilevel feedback control scheme is proposed for optimization of large-scale systems composed of a number of (not necessarily weakly coupled) subsystems, where local controllers are used to optimize each subsystem, ignoring the interconnections.
Journal ArticleDOI
Generation of Multilevel Control and Estimation Schemes for Large-Scale Systems: A Perturbational Approach
TL;DR: A new approach to the development of multilevel control and estimation schemes for large-scale systems with a major emphasis on the reliability of performance under structural perturbations is described, conducted within a decomposition-decentralization framework.
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