Hosting Capacity of the Power Grid for Renewable Electricity Production and New Large Consumption Equipment
Open accessAbstract
After a brief historical introduction to the hosting-capacity approach, the hosting capacity is presented in this paper as a tool for distribution-system planning under uncertainty. This tool is illustrated by evaluating the readiness of two low-voltage networks for increasing amounts of customers with PV panels or with EV chargers. Both undervoltage and overvoltage are considered in the studies presented here. Probability distribution functions are calculated for the worst-case overvoltage and undervoltage as a function of the number of customers with PV or EV chargers. These distributions are used to obtain 90th percentile values that act as a performance index. This index is compared with an overvoltage or undervoltage limit to get the hosting capacity. General aspects of the hosting-capacity calculations (performance indices, limits, and calculation methods) are discussed for a number of other phenomena: overcurrent; fast voltage magnitude variations; voltage unbalance; harmonics and supraharmonics. The need for gathering data and further development of models for existing demand is emphasised in the discussion and conclusions.
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A stochastic approach to determine the single-phase and three-phase EV charging HC considering both aleatory and epistemic uncertainties is developed in [2], while [15] applied a simplified MCS using limited input data to determine the EV charging HC.
“A stochastic approach to determine the single-phase and three-phase EV charging HC considering both aleatory and epistemic uncertainties is developed in [2], while [15] applied a simplified MCS using limited input data to determine the EV charging HC.”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [15]
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- Authors
- Bollen, M., & Rönnberg, S.
- Affiliations
- Luleå University of Technology (SE)
- Corresponding author
- Bollen, Math
- Rönnberg, Sarah
- Venue
- Energies
- Publisher
- MDPI AG
- Published
- 2017-09-02
- Volume
- 10
- Issue
- 9
- Pages
- 1325
- ISSN
- 1996-1073 (ISSN-L)
- OpenAlex
- W2752735451
- Cited by
- 169
- References
- 82
- Citations by year
- 2026: 10 · 2025: 14 · 2024: 17 · 2023: 32 · 2022: 23 · 2021: 19 · 2020: 23 · 2019: 19 · 2018: 12
- FWCI
- 6.14
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Energies (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Energiforsk
- Skellefteå Kraft Elnät
- Umeå Energi
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Keywords
- hosting capacity, distribution network planning, uncertainty, photovoltaic generation, electric vehicle charging stations, low-voltage distribution networks, undervoltage, overvoltage, performance index, overcurrent, voltage unbalance, harmonics, supraharmonics
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