Research on Energy Storage Scheduling Strategy Considering High Proportion of New Energy Uncertainty

Abstract

With the continuous improvement of the permeability of new energy, how to deal with the inherent randomness and volatility of wind and solar power generation, evaluate and guarantee the security and economy of system output has become an important issue to ensure the utilization of new energy. Energy storage can determine the timing and scale of energy replenishment or release depending on the amount of generating capacity available to the system. Energy storage has become an important factor to promote the absorption of new energy and ensure the economic security of the power system. Based on the high-proportion new energy output and energy storage system, this paper establishes the collaborative model of fire, light, storage and charge, defines the power generation cost function, and introduces the risk assessment of wind abandoning cost and power outage cost in addition to the cost of coal burning. In addition, the generation of energy storage path in operation is simulated. Finally, the optimal scheme is obtained through the method of linear programming. The optimized path can effectively reduce the power generation cost of the system and promote the absorption of new energy. The final results verify the validity of the model and algorithm.