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A distributed model predictive control based load frequency control scheme for multi-area interconnected power system using discrete-time Laguerre functions

机译:基于分布式模型预测控制基于用于多区域互连电力系统的载荷频率控制方案,使用离散时间Laguerre函数

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摘要

This paper proposes a distributed model predictive control based load frequency control (MPC-LFC) scheme to improve control performances in the frequency regulation of power system. In order to reduce the computational burden in the rolling optimization with a sufficiently large prediction horizon, the orthonormal Laguerre functions are utilized to approximate the predicted control trajectory. The closed loop stability of the proposed MPC scheme is achieved by adding a terminal equality constraint to the online quadratic optimization and taking the cost function as the Lyapunov function. Furthermore, the treatments of some typical constraints in load frequency control have been studied based on the specific Laguerre-based formulations. Simulations have been conducted in two different interconnected power systems to validate the effectiveness of the proposed distributed MPC-LFC as well as its superiority over the comparative methods. (C) 2017 ISA. Published by Elsevier Ltd. All rights reserved.
机译:本文提出了一种基于分布式模型预测控制的负载频率控制(MPC-LFC)方案,以改善电力系统频率调节中的控制性能。为了通过足够大的预测地平线降低滚动优化中的计算负担,利用正常的Laguerre函数来近似预测的控制轨迹。通过将终端平等约束添加到在线二次优化并将成本函数作为Lyapunov函数中的成本函数来实现所提出的MPC方案的闭环稳定性。此外,已经基于特定的基于Laguerre的配方研究了负载频率控制中一些典型约束的处理。已经在两个不同的互连电力系统中进行了模拟,以验证所提出的分布MPC-LFC的有效性以及对比较方法的优越性。 (c)2017 ISA。 elsevier有限公司出版。保留所有权利。

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