10.1007/s11081-024-09919-y">
 

Decomposing a Renewable Energy Design and Dispatch Model

Document Type

Article

Publication Date

10-15-2024

Abstract

Excerpt: We address a mixed-integer linear programming model which selects a cost-minimizing set of available technologies with which to design a renewable energy system and prescribe their associated dispatch decisions. Realistically sized instances of such models pose computational challenges. To this end, we develop a Lagrangian heuristic based on a decomposition methodology which partitions the model into blocks and optimizes these more manageable, smaller subproblems.

Comments

This paper builds on work that was initially authored by the National Renewable Energy Laboratory, operated by the Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. Funding for the original work was provided by the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Federal Energy Management Program and the Advanced Manufacturing Office.

Source Publication

Optimization and Engineering

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