Merit order or unit-commitment: How does thermal power plant modeling affect storage demand in energy system models?
F. Cebulla and
Renewable Energy, 2017, vol. 105, issue C, 117-132
Flexibility requirements in prospective energy systems will increase to balance intermittent electricity generation from renewable energies. One option to tackle this problem is electricity storage. Its demand quantification often relies on optimization models for thermal and renewable dispatch and capacity expansion. Within these tools, power plant modeling is typically based on simplified linear programming merit order dispatch (LP) or mixed-integer unit-commitment with economic dispatch (MILP). While the latter is able to capture techno-economic characteristics to a large extent (e.g. ramping or start-up costs) and allows on/off decision of generator units, LP is a simplified method, but superior in computational effort.
Keywords: Renewable energy; Storage demand; Unit-commitment; Economic dispatch; Merit order; Expansion planning (search for similar items in EconPapers)
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