Battery energy storage participated peak regulation double-layer rolling optimization control method considering degradation cost

Abstract

The invention provides a degradation cost-considered battery energy storage participation peak regulation double-layer rolling optimization control method, which comprises the following steps of: firstly, considering that a peak regulation target and economic cost belong to different dimensions, introducing an economic conversion coefficient, and mapping the peak regulation target to the economic dimension; afterwards, due to the fact that the battery energy storage can be frequently charged and discharged in the peak regulation process, the battery energy storage degradation process is accelerated, and therefore a battery energy storage degradation cost model considering the discharge depth and the cycle life is established. And finally, in order to further deal with the intermittency and uncertainty of wind power, a double-layer rolling optimization control method is provided, an upper layer long-time scale rolling optimization layer makes a scheduling plan through multi-step rolling optimization by taking the minimization of the comprehensive operation cost of the system as a target, and the scheduling efficiency is improved. And the lower-layer short-time-scale real-time rolling adjustment layer tracks and corrects an upper-layer scheduling plan based on short-time-scale wind power and load prediction data. According to the invention, the capability of coping with uncertainty of the power grid is enhanced, and economic and effective peak regulation is realized.

Description

technical field [0001] The invention relates to the technical field of power grid operation control, in particular to a two-layer rolling optimization control method for battery energy storage participating in peak regulation considering degradation cost. Background technique [0002] Large-scale grid-connected wind power (WindTurbine, WT) has anti-peak-shaving characteristics, which leads to a substantial increase in the peak-to-valley load difference of the power system, and the use of battery energy storage (Battery Energy Storage, BES) extensive attention. However, the uncertainty and intermittency of wind power and load forecasting errors will affect the performance of BES participating in peak regulation. Therefore, it is necessary to formulate a reasonable and effective optimal control strategy for BES participating in peak regulation, while minimizing the economic cost of the system, to achieve Effective peak shaving. In addition, the frequent charging and discharg...

AI Technical Summary

Problems solved by technology

However, there is a large deviation between the day-ahead optimization scheduling plan and the actual operation situation, which is not conducive to the tracking and correction of intraday rolling optimization based on short-term forecast data

[0007] In view of the uncertainty and intermittency of wind power, the above three methods all have the deficiency of relying too much on the accuracy of prediction information

In addition, the current research on the participation of battery energy storage in peak shaving is insufficient to ignore the degradation cost of BES

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