Energy efficient festival electrification can be viewed as a middle-consumption problem, standing between smart household applications and larger commercial consumers. The optimal deployment of different resources, such as local renewable energy production (RES), diesel generators (DG) and energy storage systems (ESS) may bring about significant financial gain for the organizer, and is usually framed as an off-grid or limited grid-connection problem. This makes online planning particularly challenging due to the uncertainty related to the RES production, constraints regarding the operation of the diesel generators and limitations of the grid connection. In this paper a new online planning algorithm based on two-stage stochastic programming is proposed in order to address the aforementioned challenges and provide minimal-cost, uninterrupted, and sustainable electrification of festivals under dynamically priced grid energy. Data based on real festival events are used in order to illustrate the effectiveness of the proposed methodology.

Additional Metadata
Keywords Energy storage, Festival electrification, Online planning, Renewable energy, Stochastic programming
ISBN 978-1-5386-5326-5
Project Demand response for grid-friendly quasi-autarkic energy cooperatives , Representing Users in a Negotiation (RUN): An Autonomous Negotiator Under Preference Uncertainty
Conference IEEE International Conference on Smart Energy Systems and Technologies
Grant This work was funded by the The Netherlands Organisation for Scientific Research (NWO); grant id nwo/651.001.003 - Demand response for grid-friendly quasi-autarkic energy cooperatives, This work was funded by the The Netherlands Organisation for Scientific Research (NWO); grant id nwo/639.021.751 - Representing Users in a Negotiation (RUN): An Autonomous Negotiator Under Preference Uncertainty
Citation
Pappi, I, Baarslag, T, Kaisers, M, & Paterakis, N.G. (2018). An uncertainty-aware online planning tool for the sustainable electrification of festivals. In Proceedings of Int. Conf. on Smart Energy Systems and Technologies (SEST). IEEE, 2018.