Experimental demand scheduler validation
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Carlos Cruz [1]
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[1] Universidad de Alcalá
Universidad de Alcalá
Alcalá de Henares, España
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- Localización: Sustainable energy efficient communities: guidelines for pilot demand response cooperation / Carlos Cruz de la Torre (aut.), 2024, ISBN 9783031499913, págs. 93-110
- Idioma: inglés
- Texto completo no disponible (Saber más ...)
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Resumen
Home energy management and DR systems are becoming an important part of the electrical power infrastructure. The two-way communication capabilities of a smart grid enables command-response exchanges between 3 domains, namely, DR servers, aggregators, and home controllers, while some cloud-based deployments leverage energy big data to improve DR performance. However, the 3-domain architecture for energy management raises concerns regarding data and communication protection. Furthermore, demand reallocation implementation with renewable sources has hardly been explored or validated. This chapter evaluates a demand scheduler using real prototypes to verify network protocol feasibility and analyze different community scenarios and consumer behaviors for different hardware platforms, communication resources, and security requirements. The aggregation algorithm is implemented on 4 hardware platforms with different characteristics, namely, Raspberry Pi 4, 3B+, and 3B, and Arduino Mega, while the network architecture is validated by analyzing the communication and security requirements of the UDP, MQTT, CoAP, WiFi, and 3G network protocols.
