Statistical analysis of PV penetration impact on residential distribution grids. (December 2022)

• Record Type: Journal Article
• Authors: Palahalli, Harshavardhan; Maffezzoni, Paolo; Daniel, Luca; Gruosso, Giambattista
• Is Part Of: Sustainable energy, grids and networks. Volume 32(2022)
• Publication Date: 2022-12
• Subjects: Power grids -- Photovoltaic penetration -- Polynomial chaos -- Probabilistic analysis -- Simulations; Renewable energy sources -- Periodicals; Smart power grids -- Periodicals; Electric power systems -- Periodicals; 333.794
• DOI: 10.1016/j.segan.2022.100949
• Languages: English
• ISSNs: 2352-4677

Abstract

Abstract: This paper presents a comprehensive approach to the probabilistic analysis of residential distribution grid injected by distributed PV sources. The approach is data-driven and is able to deal with the general scenario that includes the uncertainty of correlated PV sources and of statistically independent consumer loads. The novel method adopts a Gaussian-Mixture-Model for correctly representing PV sources correlation and a fresh probabilistic analysis technique employing Multi-Expansion polynomial chaos. Numerical experiments carried out on the Non-Synthetic European low voltage test system, highlight the importance of the comprehensive modeling strategy in order to realistically quantify uncertainty impact on the grid.