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Information Theoretical Evaluation Of Aggregation Methods In The Mathematical Optimization Of The Unit Commitment Problem

Abstract

While energy systems become more and more complex mathematical optimization can be used to generate good operating strategies for power generators and consumers. In order to reduce the complexity and thus the computing time for solving the Unit Commitment Problem several approaches for abstracting the original problem are introduced in literature. This paper focuses on a theory for the information theoretical evaluation of aggregation approaches in operating strategy optimization of energy systems. The theory is validated via two aggregation approaches, which aim at reducing computing time for solving the optimization problem, while maintaining the solution quality of the original problem.

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Autor|en des ETA-Teams