Probabilistic Hosting Capacity for Active Distribution Networks

Hassan Al-Saadi, Rastko Zivanovic, Said Al-Sarawi

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

98 Zitate (Scopus)

Abstract

The increased connection of distributed generation (DG), such as photovoltaic (PV) and wind turbine (WT), has shifted the current distribution networks from being passive (consuming energy) into active (consuming/producing energy). However, there is still no consensus about how to determine the maximum amount of DGs that are allowed to be connected, i.e., how to quantify a so-called 'hosting capacity' (HC). Therefore, this paper proposes a novel risk assessment tool for estimating network HC by considering uncertainties associated with PV, WT, and loads. This evaluation is performed using the likelihood approximation approach. The paper, also, proposes a utilization of clearness index for localized solar irradiance prediction of PV. In addition, we propose the use of sparse grid technique as an effective means for uncertainty computation while the use of Monte Carlo technique is taken for a comparison purpose. Two actual distribution networks (11-buses and South Australian large feeder) are considered as case studies to demonstrate the usefulness of the proposed tool.

OriginalspracheEnglisch
Aufsatznummer7913608
Seiten (von - bis)2519-2532
Seitenumfang14
FachzeitschriftIEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Jahrgang13
Ausgabenummer5
DOIs
PublikationsstatusVeröffentlicht - Okt. 2017

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