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International journal of electrical power & energy systems, 2020-02, Vol.115, p.105445, Article 105445
2020

Details

Autor(en) / Beteiligte
Titel
A review of hosting capacity quantification methods for photovoltaics in low-voltage distribution grids
Ist Teil von
  • International journal of electrical power & energy systems, 2020-02, Vol.115, p.105445, Article 105445
Ort / Verlag
Elsevier Ltd
Erscheinungsjahr
2020
Link zum Volltext
Quelle
Elsevier ScienceDirect Journals Complete
Beschreibungen/Notizen
  • •Increased installed Solar PV necessitates need for hosting capacity-HC quantification methods.•Overview of methods applicable to quantify HC in low-voltage distribution grids.•Methods categorised into three and namely: Deterministic, Stochastic and Time series methods.•The application, merits and shortfalls of the methods discussed in the article.•Guide on HC quantification methods based on input data, computational effort and desired accuracy. A literature review is presented in this paper of the methods for quantifying the solar PV hosting capacity of low-voltage distribution grids. Three fundamentally different methods are considered: i) deterministic ii) stochastic iii) time series. The methods’ outline of applications, merits and shortfalls are summarized. The methods differ in the input data, accuracy, accuracy, computation time, consideration of uncertainties, consideration of the time-related influence and the models used. Two types of uncertainties need to be considered: certain (aleatory) uncertainties and uncertain (epistemic) uncertainties. The latter ones are only included in some of the stochastic methods. In most of the reviewed publications, the voltage magnitude rise and increased loading with increased risk of overvoltage and overloading (for lines, cables and transformers) were the main phenomena considered in the hosting capacity study. This review offers guidelines for distribution system planners on which hosting-capacity method to be used and to researchers on research gaps.
Sprache
Englisch
Identifikatoren
ISSN: 0142-0615, 1879-3517
eISSN: 1879-3517
DOI: 10.1016/j.ijepes.2019.105445
Titel-ID: cdi_swepub_primary_oai_DiVA_org_ltu_75409

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