Application Of Self-triggered Control Algorithm In Power System Excitation Control

Currently, most power system computer controllers are based on fixed periodic sampling method, periodic sampling frequency must reflect the most serious transient process of a system, even in the course of steady-state operation the same sampling frequency is also used. In the same time, as the development of network control technology, microprocessor computational load is becoming heavier, high-speed sampling rate can produce the communication block. Therefore, the study of event-triggered controller for solving the above problem is a significant topic.The working principle of event-triggered control system is to set the threshold for the system, and when changes of the state reach the threshold the event on implementation strategies is triggered. In this way, a kind of specialized hardware to complete the storage threshold event and the event detection is required. Since the self-triggered control is based on the event-triggered control, self-triggered control algorithm works by using real-time system status and threshold events integrate to establish trigger strategies and real-time mapping between states in order to avoid the design of specialized hardware for the storage and monitoring the threshold events.In this paper, the working principle of self-triggered control features, combined with the optimal excitation control model of synchronous generator are used to study the self-triggered optimal control algorithm in the synchronous generator excitation control applications. A common program of the optimal self-triggered excitation control algorithm is wrote. Through the use of the electric power system simulation toolkit, Dymola, the paper emulates the model and the result verifies the effectiveness of the algorithm.