OptiMEMS: An Adaptive Lightweight Optimal Microgrid Energy Management System Based on the Novel Virtual Distributed Energy Resources in Real-Life Demonstration
As microgrids have gained increasing attention over the last decade, more and more applications have emerged, ranging from islanded remote infrastructures to active building blocks of smart grids. To optimally manage the various microgrid assets towards maximum profit, while taking into account reli...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/10/2752 |
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| author | Angelina D. Bintoudi Lampros Zyglakis Apostolos C. Tsolakis Paschalis A. Gkaidatzis Athanasios Tryferidis Dimosthenis Ioannidis Dimitrios Tzovaras |
| author_facet | Angelina D. Bintoudi Lampros Zyglakis Apostolos C. Tsolakis Paschalis A. Gkaidatzis Athanasios Tryferidis Dimosthenis Ioannidis Dimitrios Tzovaras |
| author_sort | Angelina D. Bintoudi |
| collection | DOAJ |
| description | As microgrids have gained increasing attention over the last decade, more and more applications have emerged, ranging from islanded remote infrastructures to active building blocks of smart grids. To optimally manage the various microgrid assets towards maximum profit, while taking into account reliability and stability, it is essential to properly schedule the overall operation. To that end, this paper presents an optimal scheduling framework for microgrids both for day-ahead and real-time operation. In terms of real-time, this framework evaluates the real-time operation and, based on deviations, it re-optimises the schedule dynamically in order to continuously provide the best possible solution in terms of economic benefit and energy management. To assess the solution, the designed framework has been deployed to a real-life microgrid establishment consisting of residential loads, a PV array and a storage unit. Results demonstrate not only the benefits of the day-ahead optimal scheduling, but also the importance of dynamic re-optimisation when deviations occur between forecasted and real-time values. Given the intermittency of PV generation as well as the stochastic nature of consumption, real-time adaptation leads to significantly improved results. |
| first_indexed | 2024-03-10T11:31:50Z |
| format | Article |
| id | doaj.art-8f224367bd584749be3144237e66d044 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T11:31:50Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-8f224367bd584749be3144237e66d0442023-11-21T19:12:23ZengMDPI AGEnergies1996-10732021-05-011410275210.3390/en14102752OptiMEMS: An Adaptive Lightweight Optimal Microgrid Energy Management System Based on the Novel Virtual Distributed Energy Resources in Real-Life DemonstrationAngelina D. Bintoudi0Lampros Zyglakis1Apostolos C. Tsolakis2Paschalis A. Gkaidatzis3Athanasios Tryferidis4Dimosthenis Ioannidis5Dimitrios Tzovaras6Centre for Research and Technology—Hellas, Information Technologies Institute, P.O. Box 60361, 5700 Thessaloniki, GreeceCentre for Research and Technology—Hellas, Information Technologies Institute, P.O. Box 60361, 5700 Thessaloniki, GreeceCentre for Research and Technology—Hellas, Information Technologies Institute, P.O. Box 60361, 5700 Thessaloniki, GreeceCentre for Research and Technology—Hellas, Information Technologies Institute, P.O. Box 60361, 5700 Thessaloniki, GreeceCentre for Research and Technology—Hellas, Information Technologies Institute, P.O. Box 60361, 5700 Thessaloniki, GreeceCentre for Research and Technology—Hellas, Information Technologies Institute, P.O. Box 60361, 5700 Thessaloniki, GreeceCentre for Research and Technology—Hellas, Information Technologies Institute, P.O. Box 60361, 5700 Thessaloniki, GreeceAs microgrids have gained increasing attention over the last decade, more and more applications have emerged, ranging from islanded remote infrastructures to active building blocks of smart grids. To optimally manage the various microgrid assets towards maximum profit, while taking into account reliability and stability, it is essential to properly schedule the overall operation. To that end, this paper presents an optimal scheduling framework for microgrids both for day-ahead and real-time operation. In terms of real-time, this framework evaluates the real-time operation and, based on deviations, it re-optimises the schedule dynamically in order to continuously provide the best possible solution in terms of economic benefit and energy management. To assess the solution, the designed framework has been deployed to a real-life microgrid establishment consisting of residential loads, a PV array and a storage unit. Results demonstrate not only the benefits of the day-ahead optimal scheduling, but also the importance of dynamic re-optimisation when deviations occur between forecasted and real-time values. Given the intermittency of PV generation as well as the stochastic nature of consumption, real-time adaptation leads to significantly improved results.https://www.mdpi.com/1996-1073/14/10/2752microgridenergy managementoptimisationoptimal schedulingreal-life application |
| spellingShingle | Angelina D. Bintoudi Lampros Zyglakis Apostolos C. Tsolakis Paschalis A. Gkaidatzis Athanasios Tryferidis Dimosthenis Ioannidis Dimitrios Tzovaras OptiMEMS: An Adaptive Lightweight Optimal Microgrid Energy Management System Based on the Novel Virtual Distributed Energy Resources in Real-Life Demonstration Energies microgrid energy management optimisation optimal scheduling real-life application |
| title | OptiMEMS: An Adaptive Lightweight Optimal Microgrid Energy Management System Based on the Novel Virtual Distributed Energy Resources in Real-Life Demonstration |
| title_full | OptiMEMS: An Adaptive Lightweight Optimal Microgrid Energy Management System Based on the Novel Virtual Distributed Energy Resources in Real-Life Demonstration |
| title_fullStr | OptiMEMS: An Adaptive Lightweight Optimal Microgrid Energy Management System Based on the Novel Virtual Distributed Energy Resources in Real-Life Demonstration |
| title_full_unstemmed | OptiMEMS: An Adaptive Lightweight Optimal Microgrid Energy Management System Based on the Novel Virtual Distributed Energy Resources in Real-Life Demonstration |
| title_short | OptiMEMS: An Adaptive Lightweight Optimal Microgrid Energy Management System Based on the Novel Virtual Distributed Energy Resources in Real-Life Demonstration |
| title_sort | optimems an adaptive lightweight optimal microgrid energy management system based on the novel virtual distributed energy resources in real life demonstration |
| topic | microgrid energy management optimisation optimal scheduling real-life application |
| url | https://www.mdpi.com/1996-1073/14/10/2752 |
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