Predictive demand control at prosumers in Energy Communities
DOI:
https://doi.org/10.17979/ja-cea.2025.46.12034Keywords:
Energy management systems, Model predictive control, Modelling of energy systems, Control system design, Smart gridsAbstract
This paper presents a strategy based on Model Predictive Control (MPC) for managing local energy resources in energy communities (ECs). The proposed system follows a grid profile defined by a higher-level controller that optimizes energy efficiency and minimizes costs and exchanges with the external grid through the use of storage systems. Energy communities are transforming the electricity sector with decentralized production and consumption schemes that promote active citizen participation, where storage management plays a key role. The increasing integration of intermittent renewable sources poses stability challenges to power networks. Results show that this approach enables more efficient use of energy resources within ECs, reduces dependence on the conventional grid, and supports cost reduction compared to systems without storage or conventional rule-based systems, while also helping to mitigate stability issues associated with distributed generation and the variability of renewable sources.
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Copyright (c) 2025 Ángel Marcos Trujillo Trujillo, Juan A. Méndez-Pérez, Santiago Torres-Álvarez, Jose M. González-Cava, Alberto Hamilton-Castro
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
