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Towards line-restricted dispatchable feeders using probabilistic forecasts for PV-dominated low-voltage distribution grids

Published: 28 June 2022 Publication History

Abstract

The energy transition towards a fully renewables-based energy system calls for a massive deployment of photovoltaics (PV) in the low-voltage distribution grid (LVDG). I.e., PV panels have to be installed on every rooftop and perhaps even massive façade PV-installations are needed. For such a future PV-dominated scenario, the contribution of the present paper is twofold. First, since doubling line capacities in the LVDG is economically infeasible, we introduce the so-called line-restricted dispatchable feeder using probabilistic forecasts (LRDF) based on the existing notion of dispatchable feeder in the literature. By intelligent management of an appropriate battery, the proposed LRDF achieves dispatchability of distributed energy resources and inflexible loads while respecting the line restriction. Additionally, using probabilistic forecasts enables the proposed LRDF to consider uncertainties inherent in the electrical load and PV power generation. Second, we evaluate the LRDF using real-world data and probabilistic forecasts. The results show that the proposed line-restricted dispatchable feeder using probabilistic forecasts respects line restrictions and can improve line usage in PV-dominated low-voltage distribution grids.

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Cited By

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  • (2023)Transformer training strategies for forecasting multiple load time seriesEnergy Informatics10.1186/s42162-023-00278-z6:S1Online publication date: 19-Oct-2023
  • (2023)Towards a Real-World Dispatchable Feeder2023 8th IEEE Workshop on the Electronic Grid (eGRID)10.1109/eGrid58358.2023.10380834(1-6)Online publication date: 16-Oct-2023

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  1. Towards line-restricted dispatchable feeders using probabilistic forecasts for PV-dominated low-voltage distribution grids

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    cover image ACM Conferences
    e-Energy '22: Proceedings of the Thirteenth ACM International Conference on Future Energy Systems
    June 2022
    630 pages
    ISBN:9781450393973
    DOI:10.1145/3538637
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Publication History

    Published: 28 June 2022

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    Author Tags

    1. MPC
    2. dispatchable feeder
    3. line overloading
    4. low-voltage distribution grid
    5. optimization
    6. probabilistic forecasts

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    Cited By

    View all
    • (2023)Transformer training strategies for forecasting multiple load time seriesEnergy Informatics10.1186/s42162-023-00278-z6:S1Online publication date: 19-Oct-2023
    • (2023)Towards a Real-World Dispatchable Feeder2023 8th IEEE Workshop on the Electronic Grid (eGRID)10.1109/eGrid58358.2023.10380834(1-6)Online publication date: 16-Oct-2023

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