Inner Approximation of Minkowski Sums: A Union-Based Approach and Applications to Aggregated Energy Resources: Preprint

Andrey Bernstein, Emiliano Dall-Anese, Md Nazir, Ian Hiskens

Research output: Contribution to conferencePaper

Abstract

This paper develops and compares algorithms to compute the inner approximation of Minkowski sum of convex polytopes. We consider flexibility from distributed re- sources, such as solar photovoltaic (PV) inverters, demand side resources, etc. A polytopic representation of a single inverter's feasible operating region is proposed first. The aggregate flexibility can be computed using the Minkowski sum. Homothet and Zonotope-based approaches have been explored in literature. We show that as heterogeneity increases, such approaches lead to conservative estimates. Hence, we show how to exploit union-based Minkowski sum computation through successive homothetic decomposition of polytopes. While the union-based approach can lead to dimensionality issues, we show how to limit the complexity by predefining a candidate set. Efficiency, accuracy and trade-offs have been analyzed. Numerical examples have been presented to illustrate the effectiveness of the proposed algorithm.
Original languageAmerican English
Number of pages12
StatePublished - 2019
Event2018 IEEE Conference on Decision and Control (CDC) - Miami Beach, Florida
Duration: 17 Dec 201819 Dec 2018

Conference

Conference2018 IEEE Conference on Decision and Control (CDC)
CityMiami Beach, Florida
Period17/12/1819/12/18

NREL Publication Number

  • NREL/CP-5D00-73423

Keywords

  • aggregation
  • flexibility
  • inverters
  • photovoltaic
  • PV
  • union-based Minkowski sum algorithm

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