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This paper proposes a supervisory control structure for networked systems with time-varying delays.
The main contribution of this paper apart from the previous studies of the authors is the modeling of the complete FC power system with air supply compressor and the integration of the control of the FC system internal dynamics (especially the oxygen excess ratio) into the overall supervisory control structure to maximize the efficiency and durability.
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Then, to implement the designed hybrid supervisory control algorithm, a hierarchical control structure is introduced with a discrete supervisor on the top layer that is connected to the regulation layer via an interface layer.
The fuzzy supervisory control has a hierarchical structure.
Under the structure of supervisory control, this paper presents a robust multiple model switching control (RMMSC) method using H∞ control for MIMO linear systems with large parametric uncertainty.
Supervisory control algorithm based on the model structure is derived.
The supervisory control, designed as a four-layer structure, takes into account the forecast of power production and load power demand, storage capability, grid power limitations, and grid time-of-use tariffs; optimizes energy cost; and handles instantaneous power balancing in the microgrid.
Design of dynamic controllers and supervisory control schemes are also presented.
Usually, this is the case when an advanced controller is used in a supervisory control layer on the top of the regulatory control system, resulting in a cascade control structure.
This paper presents an improved version of the stable fuzzy adaptive control structure, which comprises an approximation of the ideal controller and a supervisory controller (Wang, 1993 [2]).
Each reactor was controlled by a PLC (Programmable Logic Controller) connected to a supervisory control and data management system (SCADA).
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