Mitigating the Impact of Renewable Variability With Demand-Side Resources Considering Communication and Cyber Security Limitations
With the rapid development of smart grid, the penetration of renewable energy resources is higher than ever and keeps growing. However, the output of renewable energy units, such as solar photovoltaics and wind turbines, is characterized by sudden and unpredictable changes. This paper proposes a nov...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8572692/ |
| _version_ | 1819133116391882752 |
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| author | Desong Bian Di Shi Manisa Pipattanasomporn Murat Kuzlu Saifur Rahman |
| author_facet | Desong Bian Di Shi Manisa Pipattanasomporn Murat Kuzlu Saifur Rahman |
| author_sort | Desong Bian |
| collection | DOAJ |
| description | With the rapid development of smart grid, the penetration of renewable energy resources is higher than ever and keeps growing. However, the output of renewable energy units, such as solar photovoltaics and wind turbines, is characterized by sudden and unpredictable changes. This paper proposes a novel electrical peak demand curtailment allocation (DCA) method to manage demand-side resources in response to fluctuations in renewable energy outputs. The proposed DCA method can curtail end-use loads faster than traditional demand response (DR) programs and prevent under frequency load shedding (UFLS) operation when facing sudden and unpredictable outputs of renewable energy. This DCA method considers DR potential and load curtailment priority. Case studies are conducted to demonstrate how the developed DCA method can be implemented to mitigate fluctuation in renewable outputs by curtailing electrical demand, considering communication network latency. This paper also evaluates the impact of applying different cybersecurity encryption methods on DCA operation. The simulation results prove that the developed DCA method can mitigate the impact of renewable energy fluctuation and respond fast enough to avoid traditional UFLS operation. |
| first_indexed | 2024-12-22T09:42:11Z |
| format | Article |
| id | doaj.art-39900257f6f2477cb067fd506298a140 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T09:42:11Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-39900257f6f2477cb067fd506298a1402022-12-21T18:30:37ZengIEEEIEEE Access2169-35362019-01-0171379138910.1109/ACCESS.2018.28862258572692Mitigating the Impact of Renewable Variability With Demand-Side Resources Considering Communication and Cyber Security LimitationsDesong Bian0https://orcid.org/0000-0002-1599-7961Di Shi1https://orcid.org/0000-0002-1469-7887Manisa Pipattanasomporn2Murat Kuzlu3Saifur Rahman4GEIRI North America, San Jose, CA, USAGEIRI North America, San Jose, CA, USAVirginia Polytechnic Institute and State University, Arlington, VA, USAOld Dominion University, Norfolk, VA, USAVirginia Polytechnic Institute and State University, Arlington, VA, USAWith the rapid development of smart grid, the penetration of renewable energy resources is higher than ever and keeps growing. However, the output of renewable energy units, such as solar photovoltaics and wind turbines, is characterized by sudden and unpredictable changes. This paper proposes a novel electrical peak demand curtailment allocation (DCA) method to manage demand-side resources in response to fluctuations in renewable energy outputs. The proposed DCA method can curtail end-use loads faster than traditional demand response (DR) programs and prevent under frequency load shedding (UFLS) operation when facing sudden and unpredictable outputs of renewable energy. This DCA method considers DR potential and load curtailment priority. Case studies are conducted to demonstrate how the developed DCA method can be implemented to mitigate fluctuation in renewable outputs by curtailing electrical demand, considering communication network latency. This paper also evaluates the impact of applying different cybersecurity encryption methods on DCA operation. The simulation results prove that the developed DCA method can mitigate the impact of renewable energy fluctuation and respond fast enough to avoid traditional UFLS operation.https://ieeexplore.ieee.org/document/8572692/Renewable mitigationdemand curtailment allocationcommunication networkscybersecuritylatency |
| spellingShingle | Desong Bian Di Shi Manisa Pipattanasomporn Murat Kuzlu Saifur Rahman Mitigating the Impact of Renewable Variability With Demand-Side Resources Considering Communication and Cyber Security Limitations IEEE Access Renewable mitigation demand curtailment allocation communication networks cybersecurity latency |
| title | Mitigating the Impact of Renewable Variability With Demand-Side Resources Considering Communication and Cyber Security Limitations |
| title_full | Mitigating the Impact of Renewable Variability With Demand-Side Resources Considering Communication and Cyber Security Limitations |
| title_fullStr | Mitigating the Impact of Renewable Variability With Demand-Side Resources Considering Communication and Cyber Security Limitations |
| title_full_unstemmed | Mitigating the Impact of Renewable Variability With Demand-Side Resources Considering Communication and Cyber Security Limitations |
| title_short | Mitigating the Impact of Renewable Variability With Demand-Side Resources Considering Communication and Cyber Security Limitations |
| title_sort | mitigating the impact of renewable variability with demand side resources considering communication and cyber security limitations |
| topic | Renewable mitigation demand curtailment allocation communication networks cybersecurity latency |
| url | https://ieeexplore.ieee.org/document/8572692/ |
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