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001031838 0247_ $$2doi$$a10.1109/SEST61601.2024.10694431
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001031838 1001_ $$0P:(DE-Juel1)201161$$aDe Din, Edoardo$$b0$$eCorresponding author$$ufzj
001031838 1112_ $$a2024 International Conference on Smart Energy Systems and Technologies (SEST)$$cTorino$$d2024-09-10 - 2024-09-12$$wItaly
001031838 245__ $$aGlobal Sensitivity Analysis Based Method for Distributed Voltage Control Performance Study
001031838 260__ $$bIEEE$$c2024
001031838 300__ $$a1-6
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001031838 520__ $$aVarious sources of uncertainty can jeopardize the performance of control algorithms when practically implemented in power systems. This paper proposes a novel and replicable method based on variance-based sensitivity analysis (SA) to effectively assess the performance of control algorithms. It overcomes the limitations of traditional SA, it can deal with dynamic and iterative algorithms under uncertainty, and it is computationally cheap. The method is applied to study the performance of a Docker container-based distributed voltage control algorithm affected by noisy measurements, uncertain line parameters, and asynchronism. The test results show the relevance of measurements' uncertainty, the robustness to line parameter errors of the control algorithm, and the importance of duly investigating the asynchronous implementation thereof.
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001031838 7001_ $$0P:(DE-HGF)0$$aGinocchi, Mirko$$b1$$eCorresponding author
001031838 7001_ $$0P:(DE-HGF)0$$aPonci, Ferdinanda$$b2
001031838 7001_ $$0P:(DE-HGF)0$$aMonti, Antonello$$b3
001031838 7001_ $$0P:(DE-Juel1)179029$$aBenigni, Andrea$$b4$$ufzj
001031838 773__ $$a10.1109/SEST61601.2024.10694431
001031838 8564_ $$uhttps://ieeexplore.ieee.org/abstract/document/10694431
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001031838 9141_ $$y2024
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