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A Novel Unknown Input Observer-Based Optimal Load Frequency Control for Smart Power Systems Considering EV and DR Participation

机译:考虑EV和DR参与的新型基于未知输入观测器的智能电力系统最优负载频率控制

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A new decentralized load frequency control (LFC) scheme based on the concept of dynamic state estimation is proposed in this paper. The suggested novel, scheme makes use of an efficient deterministic state estimator, known as unknown input observe (UIO) utilized in each area-control for online observing of the dynamic states of the system. To achieve a decentralized approach, the demand and transferred power among areas are considered as unknown inputs to the power system operators. Then, the optimal control theory is adopted to control the frequency deviation in each area which is designed based on the observed dynamic states. An interconnected power system with four-areas is used to verify the applicability of the proposed scheme, while the robustness, accuracy, and superiority of the proposed method is shown by several comparisons with other methods recently published in literature.
机译:提出了一种基于动态状态估计概念的分散式负载频率控制(LFC)方案。所提出的新颖方案利用了一种有效的确定性状态估计器,称为未知输入观察(UIO),该方法在每个区域控件中用于在线观察系统的动态状态。为了实现分散的方法,区域之间的需求和转移的电力被认为是电力系统运营商的未知输入。然后,采用最优控制理论来控制每个区域的频率偏差,该频率偏差是基于观察到的动态状态而设计的。使用具有四个区域的互连电力系统来验证所提出方案的适用性,同时通过与文献中最近发表的其他方法进行的几次比较显示出所提出方法的鲁棒性,准确性和优越性。

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