Volterra Models in Load Leveling Problem

• Main Authors: Sidorov Denis, Zhukov Alexey, Foley Aoife, Tynda Aleksandr, Muftahov Ildar, Panasetsky Daniil, Li Yong
• Format: Article
• Language: English
• Published: EDP Sciences 2018-01-01
• Series: E3S Web of Conferences
• Online Access: https://doi.org/10.1051/e3sconf/20186901015

Further growth in renewable energy and planned electrification and decentralization of transport and heating loads in future power systems will result in a more complex unit commitment problem (UCP). This paper proposes an adaptive approach to load leveling problem using novel dynamic models based on the Volterra integral equations of the first kind with piecewise continuous kernels. This approach employs a direct numerical method. The considered collocation-type numerical method has the second-order accuracy and enjoys self-regularization properties, which is associated with confidence levels of system demand. This adaptive approach is suitable for energy storage optimization in real time. The efficiency of the proposed methodology is demonstrated on the Single Electricity Market of the Island of Ireland.