Short Period Forecasting of PV Output using Hemispherical Photograph

Abstract

The spread and promotion of renewable energy is a worldwide subject. However, the intermittency of renewables, may cause troubles to power system operation. One of effective countermeasures to mitigate the intermittency is the battery energy storage system (BESS). The accurate forecasting of renewable energy output is also indispensable to reduce the capacity of BESS. In this paper, a new approach to forecast a photovoltaic power (PV) output using hemispherical photograph is presented. The photos are taken by fish-eye lens to get the whole sky cloud image data. The movement of cloud around the sun is analyzed and modeled to forecast the future output of PV. The numerical test results show a potential ability to forecast.