Distributed MPC Strategies With Application to Power System Automatic Generation Control
Shell (United States) · University of Wisconsin–Madison
Abstract
A distributed model predictive control (MPC) framework, suitable for controlling large-scale networked systems such as power systems, is presented. The overall system is decomposed into subsystems, each with its own MPC controller. These subsystem-based MPCs work iteratively and cooperatively towards satisfying systemwide control objectives. If available computational time allows convergence, the proposed distributed MPC framework achieves performance equivalent to centralized MPC. Furthermore, the distributed MPC algorithm is feasible and closed-loop stable under intermediate termination. Automatic generation control (AGC) provides a practical example for illustrating the efficacy of the proposed distributed…
Citation impact
- FWCI
- 81.96
- Percentile
- 100%
- References
- 49
Authors
4Topics & keywords
- Model predictive control
- Controller (irrigation)
- Convergence (economics)
- Computer science
- Control theory (sociology)
- Automatic Generation Control
- Control engineering
- Distributed power