4.7 Article

Comprehensive Analytical Expressions for Assessing and Maximizing Technical Benefits of Photovoltaics to Distribution Systems

Journal

IEEE TRANSACTIONS ON SMART GRID
Volume 12, Issue 6, Pages 4938-4949

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2021.3097508

Keywords

Planning; Reactive power; Resource management; Inverters; Indexes; Uncertainty; Stability criteria; Photovoltaic; analytical expressions; PV trackers; inverter reactive power; power curtailment; technical benefits

Funding

  1. Department of Electrical Engineering and Automation, Aalto University, Finland [TSG-01413-2020]

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Comprehensive analytical expressions (CAEs) are proposed in this paper to maximize the technical benefits of multiple PV units to distribution systems, considering the uncertainty of PV generation and load profiles. The CAEs offer an effective solution to the optimal allocation problem of multiple PV units, providing high accuracy, flexibility, and computational speed.
The proliferation of photovoltaic (PV) can cause several operational problems in distribution systems. In this paper, comprehensive analytical expressions (CAEs) are proposed for maximizing the technical benefits of multiple PV units to distribution systems considering the uncertainty of PV generation and load profiles. Specifically, the proposed CAEs quantify and optimize the following five vital indices with multiple PV units: 1) active energy losses, 2) reactive losses, 3) voltage deviations, 4) line congestion margin, and 5) voltage stability index. The smart functions of the PV inverter (i.e., reactive power support and active power curtailment) are also incorporated in the CAEs, complying with the revised IEEE 1547:2018 standard. Further, various PV tracking options are considered, including fixed, one-axis, and two-axis trackers. Unlike existing approaches, the CAEs can simultaneously solve the optimal allocation problem of multiple PV units in a direct manner without needing optimization algorithms, iterative processes, or simplifying procedures. The calculated results reveal the high performance of the CAEs in terms of accuracy, flexibility and computational speed while providing further PV planning options. Moreover, CAEs are effectively utilized for two other applications with promising computational performance, i.e., rapid assessment of PV impacts with annual datasets and optimal centralized/decentralized inverter control.

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