2022
DOI: 10.1109/tie.2021.3078352
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Decentralized Robust Disturbance-Observer Based LFC of Interconnected Systems

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Cited by 23 publications
(8 citation statements)
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“…Therefore, a unique design is crucial to preserve the relationship between generation and load fluctuations to maintain the resilience of the LFC. Some newly designed controllers have been demonstrated to be reliable for LFC schemes in multi-area and microgrid systems [77,78]. As an alternative to the conventional LFC approach, the authors in [61] used a self-tuning regulator to address the challenge of developing optimal LTI designs at various operating points.…”
Section: Similar Designed and Deployed Controllersmentioning
confidence: 99%
“…Therefore, a unique design is crucial to preserve the relationship between generation and load fluctuations to maintain the resilience of the LFC. Some newly designed controllers have been demonstrated to be reliable for LFC schemes in multi-area and microgrid systems [77,78]. As an alternative to the conventional LFC approach, the authors in [61] used a self-tuning regulator to address the challenge of developing optimal LTI designs at various operating points.…”
Section: Similar Designed and Deployed Controllersmentioning
confidence: 99%
“…This introduces complications in the construction of control strategies, besides the evolution dynamics serving as the dynamical constraints. Meanwhile, power systems operate in the presence of disturbances [6]. Disturbances caused by the load variation from their forecasted value have been considered in [7].…”
Section: Introductionmentioning
confidence: 99%
“…However, most of the reported achievements have only addressed state observation or disturbance estimation. For example, in Vafamand et al [15], the switched interconnected system with limited measured states was investigated, to design the controller, a state estimator was designed first; however, in this work, the disturbance was not considered. In Cao et al [16], a class of interconnected multi‐agent nonlinear systems with time delay was addressed, by applying the radial basis function neural networks (NNs) technology, a state observer was constructed to estimate the states and weight matrices, and an event‐based control scheme was constructed by utilizing the estimation values.…”
Section: Introductionmentioning
confidence: 99%