Market-oriented Optimal Control Strategy for an Integrated Energy Storage System and Wind Farm

Abstract

Fluctuations in power generation in wind farms reduce their profits and utility grid reliability. Energy storage systems (ESS) are used to decrease the energy imbalance between actual wind power and scheduled wind power in wind farms. Therefore, ESS optimal control and planning will play an important role in reducing energy imbalance and increasing wind farm profits. In this paper, a novel control method based on model predictive control (MPC) is presented to fulfill the committed energy production of wind farms and increase the ESS operation benefits. Considering the short-term forecast of real-time market price and wind power in the optimization problem leads to more efficient scheduling for the ESS charge/discharge rate and the amount of energy purchased from the real-time market. It not only reduces energy imbalance but also increases wind farm profit. Numerical results are presented to show the effectiveness and validity of the proposed control method.