References & Citations
Electrical Engineering and Systems Science > Systems and Control
Title: Enhancing the Spatio-Temporal Observability of Residential Loads
(Submitted on 2 Oct 2019 (v1), last revised 4 Oct 2019 (this version, v2))
Abstract: Enhancing the spatio-temporal observability of residential loads is crucial for achieving secure and efficient operations in distribution systems with increasing penetration of distributed energy resources (DERs). This paper presents a joint inference framework for residential loads by leveraging the real-time measurements from distribution-level sensors. Specifically, smart meter data is available for almost every load with unfortunately low temporal resolution, while distribution synchrophasor data is at very fast rates yet available at limited locations. By combining these two types of data with respective strengths, the problem is cast as a matrix recovery one with much less number of observations than unknowns. To improve the recovery performance, we introduce two regularization terms to promote a low rank plus sparse structure of the load matrix via a difference transformation. Accordingly, the recovery problem can be formulated as a convex optimization one which is efficiently solvable. Numerical tests using real residential load data demonstrate the effectiveness of our proposed approaches in identifying appliance activities and recovering the PV output profiles.
Submission history
From: Shanny Lin [view email][v1] Wed, 2 Oct 2019 14:41:02 GMT (1045kb,D)
[v2] Fri, 4 Oct 2019 21:04:39 GMT (1045kb,D)
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