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首页> 外文会议>2011 19th Iranian Conference on Electrical Engineering >Decentralized model predictive load-frequency control for multi-area interconnected power systems
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Decentralized model predictive load-frequency control for multi-area interconnected power systems

机译：多区域互联电力系统的分散模型预测负载频率控制

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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.
机译：本文介绍了多区电力系统的分散模型预测载荷频率控制。由于电力系统参数的变化，MPC控制器设计用于降低负载扰动和参数不确定性的效果。还要估计负载变化，使用快速输出采样（FOS）方法。估计信号被定义为MPC控制器的测量干扰。 MPC方法采用前馈控制策略来拒绝每个电力系统区域中的负载扰动效果。三个区域电力系统被认为是评估所提出的控制方案的性能的测试用例。将结果与最近提出的鲁棒LMI基于基于LMI的PI控制策略进行了比较。该比较证实，该方法在存在干扰和不确定存在的基于LMI的PI控制设计方面具有更好的性能，使得区域之间的频率偏差和电力流动在短时间内有效地阻尼至零。

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