A cloud-based framework for smart grid data, communication and co-simulation
| dc.contributor.advisor | Kent, Kenneth B. | |
| dc.contributor.author | Adeyemo, Gabriel | |
| dc.date.accessioned | 2023-09-12T15:12:40Z | |
| dc.date.available | 2023-09-12T15:12:40Z | |
| dc.date.issued | 2021-10 | |
| dc.description.abstract | Renewable energy has caused rapid advancements in electric power systems. The advanced grid is a smart grid with information and communication technologies and bi-directional flow of information. Data in a smart grid aligns with the characteristics of big data. Choosing the most efficient technology to manage data in the grid (real and/or simulation) is crucial to the performance of the grid. This project explores a framework that supports large scale power and network co-simulation and manages communication and data in smart grid co-simulation, real world smart grid systems and a combination of both using message-oriented middleware and cloud technologies. We designed and implemented a framework with RabbitMQ, Apache Kafka, OpenDSS, OMNeT++, Apache Spark, Docker and Kubernetes. We evaluate our implementation on accuracy, scale and usability with three applications including a demand-response application based on logistic regression. The results of our evaluation meet the goals defined for the research thesis. | |
| dc.description.copyright | © Gabriel Adeyemo, 2021 | |
| dc.format.extent | xi, 96 | |
| dc.format.medium | electronic | |
| dc.identifier.uri | https://unbscholar.lib.unb.ca/handle/1882/37362 | |
| dc.language.iso | en | |
| dc.publisher | University of New Brunswick | |
| dc.relation | Atlantic Canada Opportunities Agency (ACOA) | |
| dc.relation | Atlantic Innovation Fund (AIF) | |
| dc.rights | http://purl.org/coar/access_right/c_abf2 | |
| dc.subject.discipline | Computer Science | |
| dc.title | A cloud-based framework for smart grid data, communication and co-simulation | |
| dc.type | master thesis | |
| oaire.license.condition | other | |
| thesis.degree.discipline | Computer Science | |
| thesis.degree.grantor | University of New Brunswick | |
| thesis.degree.level | masters | |
| thesis.degree.name | M.C.S. |