An Explainable Intelligent Framework for Anomaly Mitigation in Cyber-Physical Inverter-based Systems Article Swipe
An explainable intelligent framework for cyber anomaly mitigation of cyber-physical inverter-based systems is presented.Smart inverter-based microgrids essentially constitute an extensive communication layer that makes them vulnerable to cyber anomalies. The distributed cooperative controllers implemented at the secondary control level of such systems exchange information among physical nodes using the cyber layer to meet the control objectives. The cyber anomalies targeting the communication network may distort the normal operation therefore, an effective cyber anomaly mitigation technique using an artificial neural network (ANN) is proposed in this paper. The intelligent anomaly mitigation control is modeled using adynamic recurrent neural network that employs a nonlinear autoregressive network with exogenous inputs. The effects of false data injection to the distributed cooperative controller at the secondary control level are considered. The training data for designing the neural network are generated by multiple simulations of the designed microgrid under various operating conditions using MATLAB/Simulink. The neural network is trained offline and tested online in the simulated microgrid. The proposed technique is applied as secondary voltage and frequency control of distributed cooperative control-based microgrid to regulate the voltage under various operating conditions. The performance of the proposed control technique is verified by injecting various types of false data injection-based cyber anomalies. The proposed ANN-based secondary controller maintained the normal operation of microgrid in the presence of cyber anomalies as demonstrated by real-time simulations on a real-time digital simulator OPAL-RT.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.36227/techrxiv.17912006.v1
- https://www.techrxiv.org/articles/preprint/An_Explainable_Intelligent_Framework_for_Anomaly_Mitigation_in_Cyber-Physical_Inverter-based_Systems/17912006/1/files/32629544.pdf
- OA Status
- gold
- References
- 37
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4220814577
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4220814577Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.36227/techrxiv.17912006.v1Digital Object Identifier
- Title
-
An Explainable Intelligent Framework for Anomaly Mitigation in Cyber-Physical Inverter-based SystemsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-07Full publication date if available
- Authors
-
Asad Ali KhanList of authors in order
- Landing page
-
https://doi.org/10.36227/techrxiv.17912006.v1Publisher landing page
- PDF URL
-
https://www.techrxiv.org/articles/preprint/An_Explainable_Intelligent_Framework_for_Anomaly_Mitigation_in_Cyber-Physical_Inverter-based_Systems/17912006/1/files/32629544.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.techrxiv.org/articles/preprint/An_Explainable_Intelligent_Framework_for_Anomaly_Mitigation_in_Cyber-Physical_Inverter-based_Systems/17912006/1/files/32629544.pdfDirect OA link when available
- Concepts
-
Microgrid, Controller (irrigation), Artificial neural network, Computer science, Cyber-physical system, Anomaly detection, Inverter, MATLAB, Control engineering, Engineering, Control (management), Voltage, Artificial intelligence, Electrical engineering, Biology, Agronomy, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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37Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.targeting | 59 |
| abstract_inverted_index.technique | 74, 163, 191 |
| abstract_inverted_index.anomalies. | 28, 203 |
| abstract_inverted_index.artificial | 77 |
| abstract_inverted_index.conditions | 145 |
| abstract_inverted_index.constitute | 17 |
| abstract_inverted_index.controller | 117, 208 |
| abstract_inverted_index.maintained | 209 |
| abstract_inverted_index.microgrid. | 160 |
| abstract_inverted_index.microgrids | 15 |
| abstract_inverted_index.mitigation | 7, 73, 89 |
| abstract_inverted_index.therefore, | 68 |
| abstract_inverted_index.vulnerable | 25 |
| abstract_inverted_index.conditions. | 184 |
| abstract_inverted_index.considered. | 124 |
| abstract_inverted_index.controllers | 32 |
| abstract_inverted_index.cooperative | 31, 116, 174 |
| abstract_inverted_index.distributed | 30, 115, 173 |
| abstract_inverted_index.essentially | 16 |
| abstract_inverted_index.explainable | 1 |
| abstract_inverted_index.implemented | 33 |
| abstract_inverted_index.information | 43 |
| abstract_inverted_index.intelligent | 2, 87 |
| abstract_inverted_index.objectives. | 55 |
| abstract_inverted_index.performance | 186 |
| abstract_inverted_index.simulations | 137, 225 |
| abstract_inverted_index.demonstrated | 222 |
| abstract_inverted_index.communication | 20, 61 |
| abstract_inverted_index.control-based | 175 |
| abstract_inverted_index.autoregressive | 102 |
| abstract_inverted_index.cyber-physical | 9 |
| abstract_inverted_index.inverter-based | 10, 14 |
| abstract_inverted_index.injection-based | 201 |
| abstract_inverted_index.MATLAB/Simulink. | 147 |
| abstract_inverted_index.OPAL-RT.<br></div> | 231 |
| abstract_inverted_index.presented.<div><br></div><div>Smart | 13 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5045101819 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 1 |
| corresponding_institution_ids | https://openalex.org/I114580094, https://openalex.org/I45438204 |
| citation_normalized_percentile.value | 0.02131252 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |