A Data-Driven Game-Theoretic Approach for Behind-the-Meter PV Generation Disaggregation

Bu, Fankun; Dehghanpour, Kaveh; Yuan, Yuxuan; Wang, Zhaoyu; Zhang, Yingchen

doi:10.1109/TPWRS.2020.2966732

A Data-Driven Game-Theoretic Approach for Behind-the-Meter PV Generation Disaggregation

Journal Article · Wed Jan 15 04:00:00 EST 2020 · IEEE Transactions on Power Systems

DOI:https://doi.org/10.1109/TPWRS.2020.2966732· OSTI ID:1660067

Bu, Fankun; Dehghanpour, Kaveh; Yuan, Yuxuan; Wang, Zhaoyu;

Rooftop solar photovoltaic (PV) power generator is a widely used distributed energy resource (DER) in distribution systems. Currently, the majority of PVs are installed behind-the-meter (BTM), where only customers’ net demand is recorded by smart meters. Disaggregating BTM PV generation from net demand is critical to utilities for enhancing grid-edge observability. In this paper, a data-driven approach is proposed for BTM PV generation disaggregation using solar and demand exemplars. First, a data clustering procedure is developed to construct a library of candidate load/solar exemplars. To handle the volatility of BTM resources, a novel game-theoretic learning process is proposed to adaptively generate optimal composite exemplars using the constructed library of candidate exemplars, through repeated evaluation of disaggregation residuals. Finally, the composite native demand and solar exemplars are employed to disaggregate solar generation from net demand using a semi-supervised source separator. The proposed methodology has been verified using real smart meter data and feeder models.

Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE Office of Electricity, Advanced Grid Modeling Program

DOE Contract Number:: AC36-08GO28308

OSTI ID:: 1660067

Report Number(s):: NREL/JA-5D00-77312; MainId:26258; UUID:f9d46aea-91c6-4371-86cb-cfcbec1d94a4; MainAdminID:14038

Journal Information:: IEEE Transactions on Power Systems, Journal Name: IEEE Transactions on Power Systems Journal Issue: 4 Vol. 35

Country of Publication:: United States

Language:: English

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POWER TRANSMISSION AND DISTRIBUTION
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