Online Voltage Regulation With Minimum Disturbance for Distribution Grid Without System Knowledge
Distribution systems have limited observability, as they were a passive grid to consume power. Nowadays, increasing distributed energy resources turns individual customers into “generators,” and two-way power flow between customers makes the grid prone to power outages. This ca...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Open Access Journal of Power and Energy |
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| Online Access: | https://ieeexplore.ieee.org/document/10552797/ |
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| author | Hamad Alduaij Yang Weng |
| author_facet | Hamad Alduaij Yang Weng |
| author_sort | Hamad Alduaij |
| collection | DOAJ |
| description | Distribution systems have limited observability, as they were a passive grid to consume power. Nowadays, increasing distributed energy resources turns individual customers into “generators,” and two-way power flow between customers makes the grid prone to power outages. This calls for new control methods with performance guarantees in the presence of limited system information. However, limited system information makes it difficult to employ model-based control, making performance guarantees difficult. To gain information about the model, active learning methods propose to disturb the system consistently to learn the nonlinearity. The exploration process also introduces uncertainty for further outages. To address the issue of frequent perturbation, we propose to disturb the system with decreasing frequency by minimizing exploration. Based on such a proposal, we superposed the design with a physical kernel to embed system non-linearity from power flow equations. These designs lead to a highly robust adaptive online policy, which reduces the perturbation gradually but monotonically based on the optimal control guarantee. For extensive validation, we test our controller on various IEEE test systems, including the 4-bus, 13-bus, 30-bus, and 123-bus grids, with different penetrations of renewables, various set-ups of meters, and diversified regulators. Numerical results show significantly improved voltage control with limited perturbation compared to those of the state-of-the-art data-driven methods. |
| format | Article |
| id | doaj-art-66082ead79434d7ea134cb400cab0913 |
| institution | Kabale University |
| issn | 2687-7910 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Access Journal of Power and Energy |
| spelling | doaj-art-66082ead79434d7ea134cb400cab09132025-01-21T00:03:07ZengIEEEIEEE Open Access Journal of Power and Energy2687-79102024-01-011152053110.1109/OAJPE.2024.341212010552797Online Voltage Regulation With Minimum Disturbance for Distribution Grid Without System KnowledgeHamad Alduaij0https://orcid.org/0000-0003-2297-3121Yang Weng1https://orcid.org/0000-0002-5267-1303Department of Electrical Engineering, Arizona State University, Tempe, AZ, USADepartment of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USADistribution systems have limited observability, as they were a passive grid to consume power. Nowadays, increasing distributed energy resources turns individual customers into “generators,” and two-way power flow between customers makes the grid prone to power outages. This calls for new control methods with performance guarantees in the presence of limited system information. However, limited system information makes it difficult to employ model-based control, making performance guarantees difficult. To gain information about the model, active learning methods propose to disturb the system consistently to learn the nonlinearity. The exploration process also introduces uncertainty for further outages. To address the issue of frequent perturbation, we propose to disturb the system with decreasing frequency by minimizing exploration. Based on such a proposal, we superposed the design with a physical kernel to embed system non-linearity from power flow equations. These designs lead to a highly robust adaptive online policy, which reduces the perturbation gradually but monotonically based on the optimal control guarantee. For extensive validation, we test our controller on various IEEE test systems, including the 4-bus, 13-bus, 30-bus, and 123-bus grids, with different penetrations of renewables, various set-ups of meters, and diversified regulators. Numerical results show significantly improved voltage control with limited perturbation compared to those of the state-of-the-art data-driven methods.https://ieeexplore.ieee.org/document/10552797/Distribution griddistributed energy resourcesvoltage controldata drivenminimum disturbanceoptimal control systems |
| spellingShingle | Hamad Alduaij Yang Weng Online Voltage Regulation With Minimum Disturbance for Distribution Grid Without System Knowledge IEEE Open Access Journal of Power and Energy Distribution grid distributed energy resources voltage control data driven minimum disturbance optimal control systems |
| title | Online Voltage Regulation With Minimum Disturbance for Distribution Grid Without System Knowledge |
| title_full | Online Voltage Regulation With Minimum Disturbance for Distribution Grid Without System Knowledge |
| title_fullStr | Online Voltage Regulation With Minimum Disturbance for Distribution Grid Without System Knowledge |
| title_full_unstemmed | Online Voltage Regulation With Minimum Disturbance for Distribution Grid Without System Knowledge |
| title_short | Online Voltage Regulation With Minimum Disturbance for Distribution Grid Without System Knowledge |
| title_sort | online voltage regulation with minimum disturbance for distribution grid without system knowledge |
| topic | Distribution grid distributed energy resources voltage control data driven minimum disturbance optimal control systems |
| url | https://ieeexplore.ieee.org/document/10552797/ |
| work_keys_str_mv | AT hamadalduaij onlinevoltageregulationwithminimumdisturbancefordistributiongridwithoutsystemknowledge AT yangweng onlinevoltageregulationwithminimumdisturbancefordistributiongridwithoutsystemknowledge |