Intelligent predictive control methods for synchronous power system

In this paper, an intelligent Model Predictive Controller (MPC) for a Synchronous Power Machine on Infinite Bus (SMIB) is proposed. Owing to the nonlinear and multi-variable nature of the SMIB system, calculating optimal control signals can be difficult. To solve this problem, a novel scheme of predictive controller in tandem with heuristic optimization algorithms is proposed. Numerical simulations are carried out and performance of the controller under different conditions and in combination with different optimizers is analysed in detail. Comparison is made with the performance of existing SMIB controllers present in the literature and improvements are observed.

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