Evaluating the Impact of Sellback Rates and Metering Schemes on Battery Storage Size in Grid-Connected PV Systems

As residential photovoltaic (PV) systems continue to increase, integrating battery storage emerges as a critical strategy for enhancing system efficiency and grid stability. This paper underscores the significance of incorporating battery storage in grid-connected residential PV systems. Specifically, it delves into the optimal sizing of battery storage for homes equipped with PV plants. Through an extensive investigation, the paper investigates the impact of varying energy sellback prices, different net metering/billing schemes, and battery storage investment costs on the determination of optimal battery capacity for residential consumers. To address this complex optimization challenge, a mixed integer linear program (MILP) model is formulated, providing a systematic framework for decision-making. The paper's findings offer valuable insights into the interplay between financial incentives, regulatory mechanisms, and technological factors in shaping the optimal configuration of residential PV-battery systems.

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Published
2024-10-16
DOI
https://doi.org/10.1109/sst61991.2024.10755464
Primary Topic
Smart Grid Energy Management
Type
article
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Evaluating the Impact of Sellback Rates and Metering Schemes on Battery Storage Size in Grid-Connected PV Systems

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Evaluating the Impact of Sellback Rates and Metering Schemes on Battery Storage Size in Grid-Connected PV Systems

Josip Vasilj, Damir Jakus, Danijel Jolevski, Joško Novaković, Tomislav Vujeva
article en

Abstract

As residential photovoltaic (PV) systems continue to increase, integrating battery storage emerges as a critical strategy for enhancing system efficiency and grid stability. This paper underscores the significance of incorporating battery storage in grid-connected residential PV systems. Specifically, it delves into the optimal sizing of battery storage for homes equipped with PV plants. Through an extensive investigation, the paper investigates the impact of varying energy sellback prices, different net metering/billing schemes, and battery storage investment costs on the determination of optimal battery capacity for residential consumers. To address this complex optimization challenge, a mixed integer linear program (MILP) model is formulated, providing a systematic framework for decision-making. The paper's findings offer valuable insights into the interplay between financial incentives, regulatory mechanisms, and technological factors in shaping the optimal configuration of residential PV-battery systems.

University of Split (HR)
Affordable and clean energy
Openalex Percentile: Top 81%
Smart Grid Energy Management
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