Robust Operation Method for Power System with Energy Storage Considering Power and Energy State

Abstract

In order to solve the problem that the traditional deterministic power system scheduling model is difficult to take into account the economy and the backup required for large-scale renewable energy, this paper adopts a robust optimization method that takes into account both economy and safety model. In addition to the conventional constraints of thermal units, the model not only considers the power and energy constraints of the energy storage equipment, but also considers the transmission capacity constraints of the line. The discrete normal distribution is applied to describe the random characteristics of wind power. In the model solving process, the max-min model is transformed into a max-max model by Lagrange dual theory. Through numerical example analysis, the rationality of the robust optimization method is verified. It is concluded that the greater the degree of wind power fluctuation, the greater the total system cost. Meanwhile, an appropriate amount of initial storage energy can effectively reduce the system cost.