Scalable computation of 2D-Minkowski sum of arbitrary non-convex domains: Modeling flexibility in energy resources

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Abstract

The flexibility of active (p) and reactive power (q) consumption in distributed energy resources (DERs) can be represented as a (potentially non-convex) set of points in the p-q plane. Modeling of the aggregated flexibility in a heterogeneous ensemble of DERs as a Minkowski sum (M-sum) is computationally intractable even for moderately sized populations. In this article, we propose a scalable method of computing the M-sum of the flexibility domains of a heterogeneous ensemble of DERs, which are allowed to be non-convex, non-compact. In particular, the proposed algorithm computes a guaranteed superset of the true M-sum, with desired accuracy. The worst-case complexity of the algorithm is computed. Special cases are considered, and it is shown that under certain scenarios, it is possible to achieve a complexity that is linear with the size of the ensemble. Numerical examples are provided by computing the aggregated flexibility of different mix of DERs under varying scenarios.

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APA

Kundu, S., Chandan, V., & Kalsi, K. (2019). Scalable computation of 2D-Minkowski sum of arbitrary non-convex domains: Modeling flexibility in energy resources. In Proceedings of the Annual Hawaii International Conference on System Sciences (Vol. 2019-January, pp. 3689–3698). IEEE Computer Society. https://doi.org/10.24251/hicss.2019.445

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