Hybrid robust-stochastic bidding strategy for integrated power to gas and compressed air energy storage systems coordinated with wind farm

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 presents an optimal bidding strategy for coordinated energy storage systems consists of compressed air energy storage and power to the gas facility integrated with wind energy to participate in the day-ahead market. In addition, to mitigate wind energy fluctuation by charging and discharging schemes, excess wind energy can be stored and converted to gas based on gas condition prices through the power to the gas facility. The proposed bidding strategy is addressed by a hybrid stochastic-robust optimization approach, 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 purpose 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 method in the mitigation of wind energy curtailment and profit maximization.