Software-Defined Power Grids: A Survey on Opportunities and Taxonomy for Microgrids
Future generation power grids will require the introduction and deployment of distributed energy resources to meet modern-day load requirements. Consequently, we expect to see a rise in microgrids (MGs) existing as part of the main grid (grid-connected) or independent (islanded). Contained in these...
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9475973/ |
| _version_ | 1818890500663410688 |
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| author | Musa Ndiaye Gerhard P. Hancke Adnan M. Abu-Mahfouz Huifeng Zhang |
| author_facet | Musa Ndiaye Gerhard P. Hancke Adnan M. Abu-Mahfouz Huifeng Zhang |
| author_sort | Musa Ndiaye |
| collection | DOAJ |
| description | Future generation power grids will require the introduction and deployment of distributed energy resources to meet modern-day load requirements. Consequently, we expect to see a rise in microgrids (MGs) existing as part of the main grid (grid-connected) or independent (islanded). Contained in these microgrids are a combination of energy resources such as solar, wind and fossil fuels coupled with storage devices, electric vehicles and smart devices supporting the prosumer operation. However, the addition of renewable energy resources would mean fluctuations in energy supply which would cause power system instability if not managed effectively. Hence, to maximize the management flexibility of MGs, the concept of microgrid software definition is introduced. A concept that can be looked at as giving the microgrid an operating system to improve operation response and event detection by maintaining a global view of the network. This paper therefore critically analyses what this entails by presenting an architecture for Software-Defined Microgrids (SDMGs) and discussing the management opportunities that softwarization of the MG introduces. We also highlight the design requirements and associated challenges in implementing and deploying SDMGs. |
| first_indexed | 2024-12-19T17:25:54Z |
| format | Article |
| id | doaj.art-c5d56d11b0a8424893df215fa2a231a5 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T17:25:54Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-c5d56d11b0a8424893df215fa2a231a52022-12-21T20:12:33ZengIEEEIEEE Access2169-35362021-01-019989739899110.1109/ACCESS.2021.30953179475973Software-Defined Power Grids: A Survey on Opportunities and Taxonomy for MicrogridsMusa Ndiaye0https://orcid.org/0000-0003-4703-0760Gerhard P. Hancke1https://orcid.org/0000-0002-4026-687XAdnan M. Abu-Mahfouz2https://orcid.org/0000-0002-6413-3924Huifeng Zhang3https://orcid.org/0000-0003-1154-3986Department of Electrical Engineering, Copperbelt University, Kitwe, ZambiaCollege of Automation and College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, ChinaCouncil for Scientific and Industrial Research, Pretoria, South AfricaCollege of Automation and College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, ChinaFuture generation power grids will require the introduction and deployment of distributed energy resources to meet modern-day load requirements. Consequently, we expect to see a rise in microgrids (MGs) existing as part of the main grid (grid-connected) or independent (islanded). Contained in these microgrids are a combination of energy resources such as solar, wind and fossil fuels coupled with storage devices, electric vehicles and smart devices supporting the prosumer operation. However, the addition of renewable energy resources would mean fluctuations in energy supply which would cause power system instability if not managed effectively. Hence, to maximize the management flexibility of MGs, the concept of microgrid software definition is introduced. A concept that can be looked at as giving the microgrid an operating system to improve operation response and event detection by maintaining a global view of the network. This paper therefore critically analyses what this entails by presenting an architecture for Software-Defined Microgrids (SDMGs) and discussing the management opportunities that softwarization of the MG introduces. We also highlight the design requirements and associated challenges in implementing and deploying SDMGs.https://ieeexplore.ieee.org/document/9475973/Energy balancinggrid resiliencymicrogridspower grid managementsoftware-defined networkingsmart grids |
| spellingShingle | Musa Ndiaye Gerhard P. Hancke Adnan M. Abu-Mahfouz Huifeng Zhang Software-Defined Power Grids: A Survey on Opportunities and Taxonomy for Microgrids IEEE Access Energy balancing grid resiliency microgrids power grid management software-defined networking smart grids |
| title | Software-Defined Power Grids: A Survey on Opportunities and Taxonomy for Microgrids |
| title_full | Software-Defined Power Grids: A Survey on Opportunities and Taxonomy for Microgrids |
| title_fullStr | Software-Defined Power Grids: A Survey on Opportunities and Taxonomy for Microgrids |
| title_full_unstemmed | Software-Defined Power Grids: A Survey on Opportunities and Taxonomy for Microgrids |
| title_short | Software-Defined Power Grids: A Survey on Opportunities and Taxonomy for Microgrids |
| title_sort | software defined power grids a survey on opportunities and taxonomy for microgrids |
| topic | Energy balancing grid resiliency microgrids power grid management software-defined networking smart grids |
| url | https://ieeexplore.ieee.org/document/9475973/ |
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