Wind power integration spare setting method and device considering compressed-air energy storage

Abstract

The invention provides a wind power integration spare setting method and device considering compressed-air energy storage. The method comprises the steps of according to wind power historical data, predicting wind power processing, and constructing a wind power uncertain set; obtaining generation capacity constraint, power balance constraint, transmission flow constraint and spare quantity which apower system needs to meet at each time interval; obtaining power output constraint and power storage constraint of a compressed-air energy storage system at each time interval; obtaining the minimumcost objective function of the power system; constructing a robust and spare setting model considering the compressed-air energy storage; taking advantage of mixed integer linear programming to convert and a C&CG solution algorithm to solve the robust and spare setting model, and obtaining a robust and spare setting strategy considering the compressed-air energy storage. The wind power integration spare setting method considering the compressed-air energy storage has the advantages that the characteristics of equivalently improving system rotation spare by the compressed-air energy storage are made full of, the system safety is improved, and the stability level is improved.

Description

technical field [0001] The invention relates to the technical field of new energy grid-connected scheduling, in particular to a wind power grid-connected standby setting method and device considering compressed air energy storage. Background technique [0002] With the continuous deepening of electricity market reform and the continuous improvement of end-user electricity demand, the power industry is facing unprecedented challenges. The development of a new generation of smart grid has become an inevitable choice for the power industry to cope with challenges and develop innovations. However, the vigorous development of the smart grid has also brought changes in many fields such as operation, dispatch, control, and communication to the traditional power system. On the power generation side, it is mainly the access of large-scale renewable energy such as solar energy and wind energy in the power grid, which increases the uncertainty of power generation and poses challenges t...

AI Technical Summary

Problems solved by technology

The advantage is that it decouples power generation and backup scheduling, and the disadvantage is that it cannot optimize the economy

However, with the access of large-scale renewable energy such as wind energy, due to its high uncertainty and low prediction accuracy, it is no longer possible to guarantee the safety of the power system by only using traditional methods for tuning

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