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Title: Optimal Dispatch of Residential Photovoltaic Inverters Under Forecasting Uncertainties

Authors:
; ; ;
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
NREL Laboratory Directed Research and Development (LDRD)
OSTI Identifier:
1172938
DOE Contract Number:
AC36-08GO28308
Resource Type:
Journal Article
Resource Relation:
Journal Name: IEEE Journal of Photovoltaics; Journal Volume: 5; Journal Issue: 1, January 2015
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY; 24 POWER TRANSMISSION AND DISTRIBUTION

Citation Formats

Dall'Anese, E., Dhople, S. V., Johnson, B. B., and Giannakis, G. B.. Optimal Dispatch of Residential Photovoltaic Inverters Under Forecasting Uncertainties. United States: N. p., 2015. Web. doi:10.1109/JPHOTOV.2014.2364125.
Dall'Anese, E., Dhople, S. V., Johnson, B. B., & Giannakis, G. B.. Optimal Dispatch of Residential Photovoltaic Inverters Under Forecasting Uncertainties. United States. doi:10.1109/JPHOTOV.2014.2364125.
Dall'Anese, E., Dhople, S. V., Johnson, B. B., and Giannakis, G. B.. 2015. "Optimal Dispatch of Residential Photovoltaic Inverters Under Forecasting Uncertainties". United States. doi:10.1109/JPHOTOV.2014.2364125.
@article{osti_1172938,
title = {Optimal Dispatch of Residential Photovoltaic Inverters Under Forecasting Uncertainties},
author = {Dall'Anese, E. and Dhople, S. V. and Johnson, B. B. and Giannakis, G. B.},
abstractNote = {},
doi = {10.1109/JPHOTOV.2014.2364125},
journal = {IEEE Journal of Photovoltaics},
number = 1, January 2015,
volume = 5,
place = {United States},
year = 2015,
month = 1
}
  • Summary form only given. Decentralized methods for computing optimal real and reactive power setpoints for residential photovoltaic (PV) inverters are developed in this paper. It is known that conventional PV inverter controllers, which are designed to extract maximum power at unity power factor, cannot address secondary performance objectives such as voltage regulation and network loss minimization. Optimal power flow techniques can be utilized to select which inverters will provide ancillary services, and to compute their optimal real and reactive power setpoints according to well-defined performance criteria and economic objectives. Leveraging advances in sparsity-promoting regularization techniques and semidefinite relaxation, this papermore » shows how such problems can be solved with reduced computational burden and optimality guarantees. To enable large-scale implementation, a novel algorithmic framework is introduced - based on the so-called alternating direction method of multipliers - by which optimal power flow-type problems in this setting can be systematically decomposed into sub-problems that can be solved in a decentralized fashion by the utility and customer-owned PV systems with limited exchanges of information. Since the computational burden is shared among multiple devices and the requirement of all-to-all communication can be circumvented, the proposed optimization approach scales favorably to large distribution networks.« less
  • Residential distributed photovoltaic (PV) deployment in the United States has experienced robust growth, and policy changes impacting the value of solar are likely to occur at the federal and state levels. To establish a credible baseline and evaluate impacts of potential new policies, this analysis employs multiple methods to forecast residential PV deployment in California, including a time-series forecasting model, a threshold heterogeneity diffusion model, a Bass diffusion model, and National Renewable Energy Laboratory's dSolar model. As a baseline, the residential PV market in California is modeled to peak in the early 2020s, with a peak annual installation of 1.5-2more » GW across models. We then use the baseline results from the dSolar model and the threshold model to gauge the impact of the recent federal investment tax credit (ITC) extension, the newly approved California net energy metering (NEM) policy, and a hypothetical value-of-solar (VOS) compensation scheme. We find that the recent ITC extension may increase annual PV installations by 12%-18% (roughly 500 MW, MW) for the California residential sector in 2019-2020. The new NEM policy only has a negligible effect in California due to the relatively small new charges (< 100 MW in 2019-2020). Moreover, impacts of the VOS compensation scheme (0.12 cents per kilowatt-hour) are larger, reducing annual PV adoption by 32% (or 900-1300 MW) in 2019-2020.« less