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DC Field | Value | Language |
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dc.contributor.author | Panwar, Kunal | - |
dc.date.accessioned | 2025-09-08T05:51:46Z | - |
dc.date.available | 2025-09-08T05:51:46Z | - |
dc.date.issued | 2023-05 | - |
dc.identifier.uri | http://localhost:8081/jspui/handle/123456789/18261 | - |
dc.guide | Hote, Yogesh Vijay | en_US |
dc.description.abstract | Modern power systems, such as microgrids, are susceptible to cyber-attacks due to advanced technologies and open communication networks. These cyber-attacks have the potential to disrupt and destabilize various microgrid operations, including load frequency control (LFC), thereby posing a threat to both the power infrastructure and the economy. Initially, this work categorized various types of cyber-attacks that pose a risk to the LFC system. Multiple attack scenarios were simulated to analyze their effect on the frequency deviation response in two area systems. Then, a hybrid microgrid system with a communication time delay is considered, and a time delay cyber-attack (TDCAs) is introduced in the LFC loop. A TDCAs is an attacker’s intentional attempt to destabilize a power system by interfering with the communication channel between the centralized controller and sensors involved in LFC. To nullify the impact of TDCAs, an Improved Non-linear Active Disturbance Rejection Controller (INADRC) with a switching-based mechanism is utilized. The INADRC provides improved and satisfactory performance in hybrid-microgrid systems by overcoming load disturbance, random variations, and communication time delay issues. The proposed technique nullifies the TDCA from LFC operation in hybrid microgrid and provides a better response as verified by the simulation study. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IIT, Roorkee | en_US |
dc.title | DESIGN OF SWITCHING-BASED INADRC CONTROL FOR MITIGATION OF TIME DELAY CYBER ATTACK IN HYBRID MICROGRID | en_US |
dc.type | Dissertations | en_US |
Appears in Collections: | MASTERS' THESES (Electrical Engg) |
Files in This Item:
File | Description | Size | Format | |
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21530004_Kunal Panwar.pdf | 2.19 MB | Adobe PDF | View/Open |
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