Location and solar system parameter extraction from power measurement time series

Abstract

Photovoltaic (PV) systems are considered an important pillar in the energy transition because they are usually located near the consumers. In order to provide accurate PV system models, e.g. for microgrid simulation or hybrid-physical forecast models, it is of high importance to know the underlying PV system parameters, such as location, panel orientation and peak power. In most open PV generation databases, these parameters are missing or are inaccurate.In this paper, we present a framework based on particle swarm optimisation and the PVWatts model to estimate PV system parameters using only power feed-in measurements and satellite-based ERA5 climate reanalysis data. Our sensitivity analysis points out the most relevant PV system parameters, which are panel and inverter peak power, panel orientation, system location and a small but not negligible influence of ambient temperature and albedo. The detailed evaluation on one exemplary PV system shows an acceptable accuracy in panel azimuth and tilt for the use in microgrid PV system simulation. The extracted location has less than 25 km of positioning error in the best case, which is more than satisfying with respect to the underlying data resolution of the ERA5 dataset. Similar results are observed for 10 systems in Europe and the USA.

Effect of coloring covers on the electrical parameters of a photovoltaic module

“…To determine the net power generated by a module, manufacturers use standard test conditions in their laboratories that are commonly 1000 W/m 2 and 25 °C, conditions that are impossible to find anywhere on the planet, so once the modules are exposed to the elements they will generate less power than indicated by the supplier due to heating and irradiance interruption (Hassan et al, 2022). Article To address these issues, solar panels should be installed taking into account location, panel orientation in the azimuthal plane, tilt, environmental conditions, and the efficiency of the technology used (Danner and Meer, 2021). Regarding the heating of the panel, different cooling systems are studied such as, ventilation, thermal collectors placed on the back of the panel to jointly produce thermal energy, water spray cooling on both sides of the panel, and geothermal cooling for air conditioning (Jakhar, 2016).…”

An Inference Method of Influence Parameters for a Physical Calculation Model of Photovoltaic Power Generation

“…다양한 태양광 발전량 계산 소프트웨어에서 사용되는 PVSyst, NREL PV System Model 12) . NOCT 값은 일반적으로 단결정, 다결정 태양광 모듈에 대해 45±2℃이며 본 연구에서는 보다 넓은 범 위인 30℃부터 50℃로 설정하여 민감도 분석을 수행하였다 27) .…”