2019
DOI: 10.3390/en12173372
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Artificial Neural Network Control of Battery Energy Storage System to Damp-Out Inter-Area Oscillations in Power Systems

Abstract: This paper proposed an ANN (Artificial Neural Network) controller to damp out inter-area oscillation of a power system using BESS (Battery Energy Storage System). The conventional lead-lag controller-based PSSs (Power System Stabilizer) have been designed using linear models usually linearized at heavy load conditions. This paper proposes a non-linear ANN based BESS controller as the ANN can emulate nonlinear dynamics. To prove the performance of this nonlinear PSS, two linear PSS are introduced at first which… Show more

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Cited by 14 publications
(8 citation statements)
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“…Artificial neural networks are alternative calculation techniques that are used in many areas [37,38] for the prediction [39,40] and the classification of large data sets and their analysis (e.g., in the context of finding cause and effect relationships between data) [41], data matching (especially in the event of information overload), and optimization [42,43].…”
Section: Methodsmentioning
confidence: 99%
“…Artificial neural networks are alternative calculation techniques that are used in many areas [37,38] for the prediction [39,40] and the classification of large data sets and their analysis (e.g., in the context of finding cause and effect relationships between data) [41], data matching (especially in the event of information overload), and optimization [42,43].…”
Section: Methodsmentioning
confidence: 99%
“…The damping strategy for artificial intelligence (AI) has been the subject of recent research [124][125][126][127]. These intelligent controllers can learn from the system where there are deployed and adapt to improve the system's overall performance in damping oscillations.…”
Section: Artificial Intelligencementioning
confidence: 99%
“…Controllers based on NN principles benefiting from the learning capabilities of NN are suitable for adaptive controls where the controller needs to adapt to environmental changes. The application of the NN to damp power oscillation is shown in [31], and the results show that the NN can emulate nonlinear dynamics and show a promising robust nonlinear performance.…”
Section: Figure 1 Schematic Diagram Grid Connection With Mvdc Systemmentioning
confidence: 99%