Application of Volterra Equations to Solve Unit Commitment Problem of Optimised Energy Storage and Generation

Ildar Muftahov, Denis Sidorov, Aleksei Zhukov, Daniil Panasetsky, Aoife Foley, Yong Li, Aleksandr Tynda

Research output: Other contribution

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Abstract

Development of reliable methods for optimised energy storage and generation is one of the most imminent challenges in modern power systems. In this paper 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. These integral equations efficiently solve such inverse problem taking into account both the time dependent efficiencies and the availability of generation/storage of each energy storage technology. In this analysis a direct numerical method is employed to find the least-cost dispatch of available storages. The proposed collocation type numerical method has 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 optimisation in real time. The efficiency of the proposed methodology is demonstrated on the Single Electricity Market of Republic of Ireland and Northern Ireland.
Original languageEnglish
TypeResearch paper
Media of outputArXiv database
Publication statusPublished - 2016

Publication series

NamearXiv

Keywords

  • cs.SY
  • math.FA
  • math.NA
  • 65R32, 45D05, 65R20

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