POWER SYSTEM STABILISER USING ENERGY STORAGE

摘要

This paper describes a novel application of an adaptive Artificial Neural Network controller to continuously control the charging and discharging of a Battery Energy Storage System (BESS) to improve the stability of an electric power system, and therefore has a similar function as the power system stabilizer. To demonstrate the capability of the proposed controller, dynamic and transient stability studies have been carried out for a single machine connected to an infinite bus system as well as for an interconnected multi-machine system. An on-line Artificial Neural Network (ANN) controller is continuously trained to directly control the BESS operation to damp power system oscillation even when power system parameters change. Simulation results show that this Direct Controlled Artificial Neural Network (DCANN) can adaptively learn under different operating points and system disturbances.