Abstract
Due to the uncertainty of wind power output, the congestion of wind power has become prominent. Exactly how to improve the capacity of wind power consumption has become a problem that needs to be studied urgently. In this paper, an energy storage system and energy-extensive load with adjustable characteristics are used as an important means of consuming wind power. Firstly, we analyze the reasons for the congestion according to the characteristics of wind power output, and establish a model of the grid’s ability to integrate wind power based on the concept of a wind power admissible interval. Secondly, we analyze the energy-extensive load regulation characteristics and establish an energy-extensive load dispatch model. Thirdly, on the basis of considering the energy-extensive load and energy storage system adjustment constraints, a bi-level optimization model is established. The upper level determines the configured capacity of the energy storage system with the goal of minimizing the total economic investment of the energy storage system, and the lower level coordinates the dispatching with the goal of maximizing wind power consumption and minimizing system operating costs. Finally, a certain region is taken as an example to verify the validity of the proposed method.
Highlights
By the end of 2020, Chinese-installed wind power capacity has continued to grow to 281 million kilowatts
Reference [20] proposes a multi-objective optimal scheduling model based on the operating characteristics of the Processes 2022, 10, 51 battery energy storage system and the uncertainty of wind power output, which reduces the risk of the integrated power system with wind farms and batteries
In order to deal with the mismatch between the electricity plan of the load, the output caused by the uncertainty of wind power, and the fact that the discretely adjustable energyintensive load cannot be continuously adjusted in a short time in the process of consuming congested wind power, a bi-level optimization model research for an energy-intensive load and energy storage system is proposed, and the effectiveness of this model is verified by a practical example
Summary
By the end of 2020, Chinese-installed wind power capacity has continued to grow to 281 million kilowatts. Reference [13] uses the dynamic adjustment capabilities of hydropower and energy-intensive load to propose an optimal wind power-solar capacity allocation method to reduce the uncertainty of output. Reference [20] proposes a multi-objective optimal scheduling model based on the operating characteristics of the Processes 2022, 10, 51 battery energy storage system and the uncertainty of wind power output, which reduces the risk of the integrated power system with wind farms and batteries. At the same time, taking into account the adjustment cost and adjustment constraints of the energy-intensive load and energy storage system, a bi-level optimization model considering the congested wind power consumption is established. The simulation results show that the above method can effectively improve the consumption capacity of wind power and reduce the operating cost of the system
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