Decentralized DES Supervisory Control for Coordination of ULTC and SVC

Abstract

This paper discusses the issues involved in modeling and synthesizing a discrete-event supervisory control system in a decentralized structure to coordinate the behavior of an under-load tap-changing transformer (ULTC) and a static VAR compensator (SVC) in electrical power systems. The control specifications are modeled as some automata, and it is shown that they are controllable. The designed closed-loop control system is non-blocking. The consistency of the high-level model in a two-level hierarchical control system is investigated. The proposed supervisory control is tested by inspecting its behavior in a simulated situation.

Optimal non‐blocking decentralized supervisory control with unobservable controllable events

“…A monolithic (global) supervisory controller has enough information to satisfy the specification, that is, control logic. However, supervisory control synthesis for the monolithic specification faces computational complexity; some applications have been reported using monolithic supervisor synthesis [1,2]. In order to handle computational complexity, modular [3][4][5], hierarchical [6], heterarchical [7,8], synthesis methods, and the nondeterministic automata approach [9,10], have been proposed in the supervisory control of discrete-event systems (DESs).…”

Elementary‐Siphon‐Based Control Policy for Flexible Manufacturing Systems with Partial Observability and Controllability of Transitions

“…In the real world, there are a variety of DES such as flexible manufacturing systems (FMS), computer networks, traffic systems, and workflow systems. In recent years, researchers have been increasingly interested in the control of DES that are modeled with Petri nets in many areas: fault tolerant control , workflow systems , traffic systems , web services , robotics , power systems , wastewater treatment , energy recovery , artificial neural networks , automated guided vehicles , oil refinery processes (although it involves continuous process industry, it contains discrete‐event variables and belongs to a hybrid system), and control of manufacturing systems .…”