Evaluation of renewable energy prediction information for cyber-physical power system

Abstract

Today's Internet technology is changing rapidly, the value of information in power systems is increasing. In the renewable energy-rich power grid, relatively accurate renewable energy prediction can reduce uncertainty caused by the random output of renewable energy, thus effectively improve the efficiency of renewable energy use, but also for power companies and power grid companies to provide a reference for economic benefits. In this paper, the value of photovoltaic (PV) predictive information to power systems is evaluated using an innovative evaluation system including Shannon entropy and non-noise ratio. Finally, taking IEEE 30-bus system as an example, the design and implementation of this paper are verified.