Rolling-horizon optimization as a speed-up method - assessment using the electricity system model JMM

Thomas Kallabis ()
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Thomas Kallabis: House of Energy Markets and Finance, University of Duisburg-Essen

EWL Working Papers from University of Duisburg-Essen, Chair for Management Science and Energy Economics

Abstract: Energy system models are limited in their scope and level of disaggregation by the availability offast computing hardware. While improvements in hardware and solver developments have led toan increasing size of solvable models, problems with high temporal and geographical resolutionremain difficult to solve in one loop. In this paper, we evaluate the use of rolling planning as aspeed-up method for energy system models. In a stylized model, we highlight potential issuesthat occur at the boundary of optimization horizons, especially regarding time-linking constraintssuch as energy storage balances. In multiple configurations of the energy system model WILMAR-JMM, we investigate the tradeoff between solution quality and problem size / solution time thatcharacterize the use of rolling planning.

Keywords: Energy system model; rolling-horizon optimization; linear programming (search for similar items in EconPapers)
Pages: 19
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