The Summed Start-up Costs in a Unit Commitment Problem
Ren\'e Brandenberg, Matthias Huber, Matthias Silbernagl

TL;DR
This paper establishes a novel connection between the facets of the start-up cost epigraph in unit commitment problems and binary trees, leading to improved linear representations and reduced integrality gaps.
Contribution
It introduces a bijective correspondence between epigraph facets and binary trees for concave start-up costs, along with an exponential H-representation and a linear separation algorithm.
Findings
Exponential H-representation of the start-up cost epigraph
Exact linear separation algorithm for the epigraph
Reduced integrality gap in unit commitment formulations
Abstract
We consider the sum of the incurred start-up costs of a single unit in a Unit Commitment problem. Our major result is a correspondence between the facets of its epigraph and some binary trees for concave start-up cost functions CU, which is bijective if CU is strictly concave. We derive an exponential H-representation of this epigraph, and provide an exact linear separation algorithm. These results significantly reduce the integrality gap of the Mixed Integer formulation of a Unit Commitment Problem compared to current literature.
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Taxonomy
TopicsElectric Power System Optimization · Optimization and Search Problems · Auction Theory and Applications
