Showing papers by "Qobad Shafiee published in 2011"

Decentralized Model Predictive load-frequency control for deregulated power systems in a tough situation

Abstract: In this paper a decentralized Model Predictive Controller (MPC) is proposed to load-frequency control in deregulated power systems under harsh conditions such as loss of power generation or loss of controllers in some control areas. To nullify these effects on frequency deviations, the MPC controller uses feed-forward control strategy in each area. The performance of the proposed controller is validated in different scenarios on a multi-area power system. Comparing simulation results with recent proposed robust LMI based PI control strategy, it can be seen that the decentralized MPC scheme effectively regulates frequency without using any emergency control strategy even in severe conditions.

Decentralized model predictive load-frequency control for multi-area interconnected power systems

Abstract: This paper presents a decentralized model predictive based load frequency control for multi-area power systems. An MPC controller is designed for each area to decrease the effect of load disturbances and parameter uncertainties owing to variations in power system's parameters. Also to estimate load changes, Fast Output Sampling (FOS) method is used. The estimated signal is defined as a measured disturbance for MPC controller. The MPC method uses feed-forward control strategy for rejecting load disturbance effect in each power system area. A three-area power system has been considered as a test case to evaluate the proposed control scheme's performance. The results have been compared with a recent proposed robust LMI based PI control strategy. This comparison confirms that the proposed method has better performance than the LMI based PI control design in the presence of disturbances and uncertainities so that the frequency deviation and power flow changes between areas are effectively damped to zero with small oscillations in a short time.