A Multi-Agent System-Based Intelligent Control System for Large-Scale Power Plants

摘要

Modern power system is required to have new control systems for power plants to operate at a higher level of automation, flexibility, robustness, and optimization. In this paper, a Multi-Agent System based Intelligent Control System (MAS-ICS) is presented for reference governor and optimal feedforward and feedback controls that improve the performance of the plant in a wide-range of operation. With the proposed architecture of a single agent and an organization of the multi-agent system, the MAS-ICS realizes the reference governor for generating optimal set-points and feedforward control actions by using modern heuristic optimization techniques. It also realizes feedback control actions which utilize optimal PI control gains obtained by using modern heuristic optimization techniques. The proposed MAS-ICS is a functional group in a Multi-Agent System (MAS), which has several functional groups that provide efficient ways to control locally and globally, and to accommodate and overcome the complexity of large-scale distributed systems.