Abstract
Integration of renewable energies into the microgrid (MG) operation can potentially lead to some significant benefits, e.g., less transmission expansion planning cost, direct power supply to the AC loads based on its type, lower costs, higher power quality services and enhanced technology. However, the optimal energy management of the system would be more challenging and complicated. To this end, this paper proposes an effective energy management method for optimal management of the microgrid using advanced mixed-integer linear programming. In this paper, a new demand-side management (DSM) engine is proposed using mixed-integer linear programming for IoT-enabled grid. The microgrid is simulated using MATLAB, and a two-level communication setup facilitates communication to the cloud server. Local and global communication is facilitated using TCP/IP and MQTT protocols, respectively. Lastly, simulation model is built with distributed generators (such as photovoltaic or wind turbines) and hybrid microgrid, which is applicable in various scenarios, like residential buildings and small commercial outlets.
Original language | English |
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Journal | Energy Systems |
ISSN | 1868-3967 |
DOIs | |
Publication status | E-pub ahead of print - 2024 |
Bibliographical note
Publisher Copyright:© 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Keywords
- Demand side management
- IoT
- Microgrid
- Mixed-integer-linear-programming
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