Naslov
Usage of Cloud Tracking Solar Forecasting Methodology in Power System Operation

Autori
Jakoplic, Alen ; Frankovic, Dubravko ; Kirincic, Vedran ; Plavsic, Tomislav

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), ostalo

Skup
The International Centre for Sustainable Development of Energy, Water and Environment Systems

Mjesto i datum
Dubrovnik, Hrvatska, 01.10.2019. - 06.10.2019

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Short-term forecast ; cloud tracking ; PV integration ; variable/renewable generation ; power system control

Sažetak
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 efficient integration of renewable energy sources through the efficient energy trading, power system control and management of energy storage units. The paper presents an approach to predict regional PV power output based on short-term solar forecasting by the use of ground-based camera and analyzes the benefits of such forecast to the power system operation. In the proposed research, analysis of the commonly used forecasting methods with added precision of the short-term forecasting was made. Cost- effectiveness was calculated with different scales of a power plant. An overview of the benefits for the transmission system operator is given. This overview considers the ways in which short-term forecasting can improve the efficiency of power management in an electric grid. A system cost-effectiveness analysis was carried out for electricity producers that can use this system to generate better forecasts for the production of electricity and thus reduce penalties for non-compliance with the anticipated production.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA