Artificial Intelligence for Control Applications in Power and Energy Systems

Dear Colleagues,

Power and energy systems are evolving with increasing Distributed Energy Resources (DERs) to ensure the demand–supply balance and cope with more volatile profiles due to renewable-based generation and new electricity usages. Typical control strategies of DERs consist in optimal decision-making processes that target technical, economical, and/or environmental criteria. Widely adopted solutions involve predictive approaches with look-ahead optimization of DERs setpoints based on systems models, which may suffer from i) vulnerability to uncertainties (i.e. forecast errors, model accuracy, and unknown system parameters) and ii) communication network and privacy concerns (especially for cloud applications). Compact controllers based on Artificial Intelligence (AI) and data-driven approaches can therefore be considered to mitigate the aforementioned shortcomings with faster computation at the local DERs level. This would entail taking advantage of the system expertise (i.e. models) in an offline training phase before deploying the controllers online.

For this Special Issue, original research articles investigating AI-based controllers for applications in power and energy systems are welcome. Considered techniques may include (but are not limited to): machine learning and supervised and reinforcement algorithms, as well as data mining/analysis (e.g. decisions tree, clustering, and regression). Specific attention will be paid to the comparison of methods with conventional approaches. The analysis of the their performances can include an evaluation of their robustness to uncertainties and/or system parameters drifting, as well as the fulfilment of critical constraints. Articles may cover applications including (but not limited to) the following:

• Energy management strategies (bulding and district).
• Distribution grid management fonctions (e.g. voltage regulation).
• Multi energy systems management.
• Energy communities.
• Energy demand management, storage, electrical vehicles, and distribution.

Dr. Rémy Rigo-Mariani
Guest Editor

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