ostalo
The impact of intermittent power production by Photovoltaic (PV) systems to the overall power system operation is constantly increasing and so is the need for advanced forecasting tools that enable understanding, prediction, and managing of such a power production. Solar power production forecasting is one of the enabling technologies, which can accelerate the transition to sustainable energy environment. Short-term forecast information on the expected power production can assist existing forecasting techniques and enable efcient integration of renewable energy sources through the efcient energy trading, power system control and management of energy storage units. The paper presents an approach to predict local PV power output based on short-term solar forecasting using ground-based camera and analyzes the benefts of such forecast to the power system operation. PV power plant production data collected over 216 days is used to analyze the magnitude and energy contained in transients caused by changes in sky cover. Cost-efectiveness was calculated with diferent scales of a power plant. An overview of the benefts for the transmission system operator is given. This overview considers the ways in which short-term forecasting can improve the efciency of power management in an electric grid. A system cost-efectiveness analysis was carried out for electricity producers that can use this system to generate more precise forecasts and thus reduce penalties for non-compliance with the anticipated production.
Short-term forecast ; Cloud tracking ; PV integration ; Variable/ renewable generation ; Power system control
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