Abstract
As the share of wind power participating in the electricity market grows, it is becoming increasingly important to control energy storage systems in order to increase the profitability of wind farms. This paper presents a flexible control model of energy storage system that may be utilized to assist wind farms in controlling energy storage system efficiently in real time, hence improving wind farm controllability and economic benefits. Based on the rolling forecast of ultra-short-term power and real-time electricity prices, the model in this paper can adjust the control strategy of the energy storage system in real time according to actual application scenarios, so as to help wind farms avoid deviation recovery losses and obtain excess profits as much as possible. To begin, a constrained optimization model of an energy storage system is established with the maximization of income generated by energy storage system as the objective function. Then, the CPLEX solver is used to solve the constrained optimization problem. Finally, data from a wind farm in Shanxi Province is used to verify the model proposed in this paper, and the result indicates the reliability and effectiveness of the model.
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