Technical Papers
Sep 7, 2022

Policies and Incentives for Promoting Distributed Solar Generation: Impact on Electric Power Infrastructure

Publication: Journal of Infrastructure Systems
Volume 28, Issue 4

Abstract

Distributed solar generation (DSG) has grown in popularity in the last decades and is attracting a growing number of adopters. With the continuously decreasing cost of photovoltaic (PV) cells and battery storage technologies, DSG systems are often cost-effective, in addition to being reliable and sustainable. DSG can offer many benefits to the electric power infrastructure by improving the resilience of the electric grid against power disruptions; improving sustainability using renewable solar energy; and reducing carbon emissions. Accordingly, several federal and local policy incentives are available to motivate DSG adoption. However, the growing penetration of DSG represents a shift from central decision-making by independent system operators (ISOs) to distributed generation expansion decisions by consumers, which creates uncertainty in estimating future demand and market trends. If not planned well, this problem may be exacerbated by policy incentives. As such, the goal of this paper is to investigate the effect of policy incentives on the adoption of DSG, and the electric power infrastructure and market. This was achieved by developing a system of systems (SoS) framework that can simulate electric power networks affected by incentivized adoption of DSG. A case study using real data and a modified IEEE six-bus system was used to test the model under different conditions of rebates or tax credits and loans with reduced interest. The results show that incentives at one location can have widely varying effects on other locations on the grid. In many cases, introducing incentives may discourage DSG adoption in other locations due to the decreasing prices caused by lower demand from the grid. In other cases, incentives may have the opposite effect, as electricity prices increase and encourage adoption of DSG. The outcomes of this paper support the need for careful consideration of the effect of DSG incentives to fully capitalize on their capabilities and improve the electric power infrastructure.

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Data Availability Statement

All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This manuscript is based upon work supported by the National Science Foundation under Grant No. 1901740. Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the National Science Foundation.

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Journal of Infrastructure Systems
Volume 28Issue 4December 2022

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Received: Feb 1, 2022
Accepted: Jun 3, 2022
Published online: Sep 7, 2022
Published in print: Dec 1, 2022
Discussion open until: Feb 7, 2023

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Gasser G. Ali, S.M.ASCE [email protected]
Ph.D. Candidate, Dept. of Civil, Architectural, and Environmental Engineering, Missouri Univ. of Science and Technology, 218 Butler-Carlton Hall, 1401 N. Pine St., Rolla, MO 65409. Email: [email protected]
Hurst-McCarthy Professor of Construction Engineering and Management, Professor of Civil Engineering, and Founding Director of Missouri Consortium of Construction Innovation, Dept. of Civil, Architectural, and Environmental Engineering and Dept. of Engineering Management and Systems Engineering, Missouri Univ. of Science and Technology, 228 Butler-Carlton Hall, 1401 N. Pine St., Rolla, MO 65409 (corresponding author). ORCID: https://orcid.org/0000-0002-7306-6380. Email: [email protected]
Charles Sims [email protected]
Associate Professor, Dept. of Economics and Director of Energy and Environment Program, Howard H. Baker Center for Public Policy, Univ. of Tennessee–Knoxville, 1640 Cumberland Ave., Knoxville, TN 37996. Email: [email protected]
J. Scott Holladay [email protected]
Associate Professor, Dept. of Economics, Univ. of Tennessee–Knoxville, 515 SMC, Knoxville, TN 37996. Email: [email protected]
Chien-Fei Chen [email protected]
Research Associate Professor, Dept. of Electrical Engineering and Computer Science, Univ. of Tennessee–Knoxville, Knoxville, TN 37996; Director of Education and Diversity Program, Center for Ultra-Wide-Area Resilient Electrical Energy Transmission Networks, Univ. of Tennessee–Knoxville, 508 Min H. Kao Bldg., 1520 Middle Dr., Knoxville, TN 37996. Email: [email protected]

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