Evaluation of scheduling algorithms
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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. 39-60
- Idioma: inglés
- Texto completo no disponible (Saber más ...)
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Resumen
Recent directives encourage consumers to play an active role in the electricity system, including renewable energies, through aggregation programs, self-consumption, and storage. A wide variety of DR proposals promote energy use based on ICTs deployed by consumers. Although such proposals are beneficial for communities, consumer participation is still in the early demonstration and evaluation stages. In this context, implementing and validating an energy demand scheduler in a controlled scenario is crucial to understanding acceptance of cooperation-based systems. This chapter describes a methodology, based on 4 heuristic techniques, to evaluate a demand scheduler according to different consumption preferences and renewable energy availability factors and configurations, with the necessary resources estimated according to the required computation times for demand reallocation. The best consumer coalition for aggregation is explored, with the structure of the scheduling algorithm analyzed for a centralized scenario and a semi-decentralized scenario. Finally, factors are extracted to identify possible consumer behaviors and demand in terms of appliances is analyzed.
