期刊
IEEE TRANSACTIONS ON POWER DELIVERY
卷 33, 期 2, 页码 1002-1012出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRD.2018.2798707
关键词
Low voltage systems; Monte Carlo simulation; rooftop photovoltaic generation; voltage quality
资金
- Sao Paulo Research Foundation (FAPESP) [2014/09538-6, 2016/20157-0, 2016/23754-9]
- National Council for Scientific and Technological Development (CNPq) [307763/2015-3, 481195/2013-0]
- Companhia Paulista de Forca e Luz [PD-0063-3012/2014]
- Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [14/09538-6, 16/23754-9] Funding Source: FAPESP
Rooftop photovoltaic (PV) hosting capacity has become a concern for utilities in scenarios of high penetration due to impacts on voltage quality, such as over/undervoltage and voltage unbalance, and on equipment loading (conductors and transformers). This paper uses a simplified Monte Carlo-based method to analyze this issue, which is applied to 50 000 real low-voltage (LV) systems. Results show that it is possible to perform a risk-based analysis of hosting capacity by means of a lognormal distribution. Furthermore, overvoltage is found to be the most restrictive impact of PV integration; such information can help to guide utility actions to avoid technical violations. Extensive sensitivity studies are also presented to quantify the effects of several factors on the PV hosting capacity. The effects of number of customers with PV generators, PV power factor, voltage magnitude on the medium voltage system, load level, and conductor impedances are investigated. It is also shown that the hosting capacity for the entire utility can be estimated by performing simulations only on 1 % of the circuits randomly selected. In addition to providing a comprehensive overview of PV hosting capacity in real systems, the method can be used by utilities to improve the management of LV systems with high PV penetration.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据