Cybersecurity Issues in Smart Grids and Future Power Systems
There has been an increased interest in renewable energy sources in the last few decades. Modern power systems rely mainly on power electronic-based generation and loads, leading to the adoption of smart grids that leverage digital communication infrastructure. Smart grids have several advantages, i...
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| Ձևաչափ: | Online |
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| Լեզու: | անգլերեն |
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MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Խորագրեր: | |
| Առցանց հասանելիություն: | ONIX_20231130_9783036594101_236 |
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Չկան պիտակներ, Եղեք առաջինը, ով նշում է այս գրառումը!
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| _version_ | 1869518953298001920 |
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| collection | Directory of Open Access Books |
| description | There has been an increased interest in renewable energy sources in the last few decades. Modern power systems rely mainly on power electronic-based generation and loads, leading to the adoption of smart grids that leverage digital communication infrastructure. Smart grids have several advantages, including the potential to provide consumers with a continuous power supply, reduced line losses, enhanced renewable output and storage, consumer participation in electricity markets, and demand-side responsiveness. Future power systems, also known as smart grids, will rely more on renewable energy sources, such as solar and wind, as well as storage. Power electronic converters are used in renewable energy generation and storage. Each converter/inverter manufacturer has an algorithm for programming and optimizing hardware. Furthermore, these converters rely on communication protocols to respond to any signal from the system operator. As a result, cyber-attacks on these smart converters/inverters are a concern. Although numerous cyber–physical systems (CPS) have been presented, no universal CPS standard can be employed with various types of converters. This reprint is a collection of specialized work addressing cybersecurity challenges. |
| format | Online |
| id | doab-20.500.12854ir-128784 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1287842024-03-23T21:37:01Z Cybersecurity Issues in Smart Grids and Future Power Systems Arshad, Arshad augmented reality cybersecurity smart city systematic literature review cyber security for smart cities communication wireless network man-in-the-middle (MITM) attack network intrusion detection system (NIDS) malicious URLs cyber threat intelligence ensemble learning internet security convolution neural network deep learning Internet of Things intrusion detection path planning Max-Min Ant Colony Optimization differential evolution Cauchy mutation malware detection malware visualization transfer learning network traffic explainable AI cyber security time series fractal analysis fractal dimension Hurst exponent scaling exponent cyberattacks electricity theft detection smart grids robustness smart meters Tomek links Levenberg–Marquardt backpropagation protection sensor Bayesian optimization modular multilevel converter computer networks cyber attack signal detection machine learning smart grid transformer neural network convolutional neural network thema EDItEUR::A The Arts::AT Performing arts::ATF Films, cinema thema EDItEUR::A The Arts::AT Performing arts::ATJ Television There has been an increased interest in renewable energy sources in the last few decades. Modern power systems rely mainly on power electronic-based generation and loads, leading to the adoption of smart grids that leverage digital communication infrastructure. Smart grids have several advantages, including the potential to provide consumers with a continuous power supply, reduced line losses, enhanced renewable output and storage, consumer participation in electricity markets, and demand-side responsiveness. Future power systems, also known as smart grids, will rely more on renewable energy sources, such as solar and wind, as well as storage. Power electronic converters are used in renewable energy generation and storage. Each converter/inverter manufacturer has an algorithm for programming and optimizing hardware. Furthermore, these converters rely on communication protocols to respond to any signal from the system operator. As a result, cyber-attacks on these smart converters/inverters are a concern. Although numerous cyber–physical systems (CPS) have been presented, no universal CPS standard can be employed with various types of converters. This reprint is a collection of specialized work addressing cybersecurity challenges. 2023-11-30T20:52:29Z 2023-11-30T20:52:29Z 2023 book ONIX_20231130_9783036594101_236 9783036594101 9783036594118 https://directory.doabooks.org/handle/20.500.12854/128784 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/8250 https://mdpi.com/books/pdfview/book/8250 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-9411-8 10.3390/books978-3-0365-9411-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036594101 9783036594118 242 Basel open access |
| spellingShingle | augmented reality cybersecurity smart city systematic literature review cyber security for smart cities communication wireless network man-in-the-middle (MITM) attack network intrusion detection system (NIDS) malicious URLs cyber threat intelligence ensemble learning internet security convolution neural network deep learning Internet of Things intrusion detection path planning Max-Min Ant Colony Optimization differential evolution Cauchy mutation malware detection malware visualization transfer learning network traffic explainable AI cyber security time series fractal analysis fractal dimension Hurst exponent scaling exponent cyberattacks electricity theft detection smart grids robustness smart meters Tomek links Levenberg–Marquardt backpropagation protection sensor Bayesian optimization modular multilevel converter computer networks cyber attack signal detection machine learning smart grid transformer neural network convolutional neural network thema EDItEUR::A The Arts::AT Performing arts::ATF Films, cinema thema EDItEUR::A The Arts::AT Performing arts::ATJ Television Cybersecurity Issues in Smart Grids and Future Power Systems |
| title | Cybersecurity Issues in Smart Grids and Future Power Systems |
| title_full | Cybersecurity Issues in Smart Grids and Future Power Systems |
| title_fullStr | Cybersecurity Issues in Smart Grids and Future Power Systems |
| title_full_unstemmed | Cybersecurity Issues in Smart Grids and Future Power Systems |
| title_short | Cybersecurity Issues in Smart Grids and Future Power Systems |
| title_sort | cybersecurity issues in smart grids and future power systems |
| topic | augmented reality cybersecurity smart city systematic literature review cyber security for smart cities communication wireless network man-in-the-middle (MITM) attack network intrusion detection system (NIDS) malicious URLs cyber threat intelligence ensemble learning internet security convolution neural network deep learning Internet of Things intrusion detection path planning Max-Min Ant Colony Optimization differential evolution Cauchy mutation malware detection malware visualization transfer learning network traffic explainable AI cyber security time series fractal analysis fractal dimension Hurst exponent scaling exponent cyberattacks electricity theft detection smart grids robustness smart meters Tomek links Levenberg–Marquardt backpropagation protection sensor Bayesian optimization modular multilevel converter computer networks cyber attack signal detection machine learning smart grid transformer neural network convolutional neural network thema EDItEUR::A The Arts::AT Performing arts::ATF Films, cinema thema EDItEUR::A The Arts::AT Performing arts::ATJ Television |
| topic_facet | augmented reality cybersecurity smart city systematic literature review cyber security for smart cities communication wireless network man-in-the-middle (MITM) attack network intrusion detection system (NIDS) malicious URLs cyber threat intelligence ensemble learning internet security convolution neural network deep learning Internet of Things intrusion detection path planning Max-Min Ant Colony Optimization differential evolution Cauchy mutation malware detection malware visualization transfer learning network traffic explainable AI cyber security time series fractal analysis fractal dimension Hurst exponent scaling exponent cyberattacks electricity theft detection smart grids robustness smart meters Tomek links Levenberg–Marquardt backpropagation protection sensor Bayesian optimization modular multilevel converter computer networks cyber attack signal detection machine learning smart grid transformer neural network convolutional neural network thema EDItEUR::A The Arts::AT Performing arts::ATF Films, cinema thema EDItEUR::A The Arts::AT Performing arts::ATJ Television |
| url | ONIX_20231130_9783036594101_236 |