Battery energy storage system scheduling method considering dynamic charge and discharge efficiency

Abstract

The invention relates to a battery energy storage system scheduling method considering dynamic charge and discharge efficiency. The method comprises the following steps: A, acquiring basic informationof a battery energy storage system, and performing segmented linearization on a charge and discharge efficiency characteristic curve; B, acquiring scheduling information such as running limit, initial and final electricity quantities, a predicated time-sharing electricity price or a price multiplier and the like of the battery energy storage system; C, establishing a scheduling model; D, calculating the dynamic upper limit and lower limit of storing the electric quantity by the battery energy storage system in each time period; E, performing dynamic planning on reverse recursion to obtain anoptimization model of a core sub-problem needing to be repeatedly solved in each time period; F, using geometric features of the core sub-problem optimization model to sequentially solve an optimal path in each horizontal sub-region from bottom to top; G, solving the optimal path in the horizontal sub-regions; H, processing the optimal path jump; I, performing dynamic planning on forward recursion, and calculating the optimal charge and discharge electric quantity and power decision of each time period; and J, entering the next time period along with the schedule development, updating the scheduling information in the step B, and executing the step C. According to the method, an effective way is provided for optimized operation of the battery energy storage system, and an engineering practical value is achieved.

Description

technical field [0001] The invention relates to the technical field of battery energy storage, in particular to a scheduling method for a battery energy storage system considering dynamic charge-discharge efficiency. Background technique [0002] The continuous and rapid access of renewable energy to the power grid brings new challenges to the control and management of the power system. In recent years, energy storage has become a new industry hotspot. Through the wide application of energy storage system, it can not only stabilize power fluctuation, improve power quality, and enhance the reliability of power grid system operation. [0003] In general, the charging and discharging efficiency of energy storage varies dynamically with the charging and discharging power. For example, the state of charge (SOC) of lead-acid batteries and lithium battery energy storage systems is between 20% and 95% during discharge. Within this range, the voltage is basically unchanged during d...

AI Technical Summary

Problems solved by technology

However, at present, general commercial optimization software is generally used to solve the scheduling model of the battery energy storage system, and there is a lack of targeted and adaptable special solution algorithms.

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