| Full text | |
| Author(s): |
Silva, Jessica Alice A.
;
Lopez, Juan Camilo
;
Guzman, Cindy Paola
;
Arias, Nataly Banol
;
Rider, Marcos J.
;
da Silva, Luiz C. P.
Total Authors: 6
|
| Document type: | Journal article |
| Source: | APPLIED ENERGY; v. 337, p. 16-pg., 2023-03-01. |
| Abstract | |
This paper proposes an Internet-of-Things (IoT) based energy management system (EMS) for the optimal operation of unbalanced three-phase AC microgrids. The system utilizes a software architecture based on microservices, which includes a stochastic economic dispatch optimizer (EDO), a database, a web-based graphical user interface (GUI), and an application programming interface (API). The EDO uses a mixed-integer linear programming (MILP) model to ensure the day-ahead dispatch of the distributed energy resources (DERs) in the microgrid while adhering to grid constraints such as voltage, current, and power limits. Additionally, the optimization module takes into account security constraints for unplanned islanded operation, as well as stochastic scenarios of local demand and renewable generation. To assess the performance of the proposed IoT-based EMS, tests are conducted using a real-time simulator in a software-in-the-loop (SIL) experimental setup. Actual data from a microgrid located at the State University of Campinas (UNICAMP) in Brazil is utilized for the tests. The microgrid consisted of a photovoltaic (PV) system, a battery energy storage system (BESS), a thermal generation unit, and variable demands. Results indicated the effectiveness of the proposed IoT-based EMS in monitoring the operation of the microgrid and defining the optimal day-ahead dispatch of local DERs. (AU) | |
| FAPESP's process: | 21/11380-5 - CPTEn - São Paulo Center for the Study of Energy Transition |
| Grantee: | Luiz Carlos Pereira da Silva |
| Support Opportunities: | Research Grants - Science Centers for Development |
| FAPESP's process: | 16/08645-9 - Interdisciplinary research activities in electric smart grids |
| Grantee: | João Bosco Ribeiro do Val |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 21/11310-7 - Application of heuristic techniques to deal with binary variables in optimal distributed restoration |
| Grantee: | Juan Camilo Lopez Amezquita |
| Support Opportunities: | Scholarships abroad - Research Internship - Post-doctor |
| FAPESP's process: | 19/17306-1 - Centralized and distributed control techniques for the energy management of microgrids: development and implementation |
| Grantee: | Jéssica Alice Alves da Silva |
| Support Opportunities: | Scholarships in Brazil - Doctorate |