Document Type : Original Article
Faculty of Electrical Engineering, Sahand University of Technology, Tabriz, Iran
Electrical engineering faculty, Sahand University of Technology, Tabriz, Iran.
By increasing the penetration of renewable energy sources with probabilistic nature, the power system is faced with operating and management challenges. Therefore, employing coordinated energy storage systems is a great choice that could better deal with inherent uncertainties. This paper proposes an optimal bidding strategy for an integrated wind power plant coordinated with energy storage systems consist of compressed air energy storage and power to the gas facility to participate in the day-ahead market. In addition, to mitigate wind energy fluctuation by charging and discharging schemes, excess wind power can be stored and converted to natural gas based on gas condition prices through the power to the gas facility. The proposed bidding strategy is formulated as a hybrid stochastic-robust optimization approach, in which the wind power uncertainty is modeled by scenario-based stochastic method, while day-ahead electricity prices are handled via robust optimization approach, with the aim of profit maximization. Thereafter, based on the optimal charging and discharging scheme, the hourly bidding and offering curves are generated. Numerical results reveal the effectiveness of the proposed model in the mitigation of wind energy curtailment and profit maximization