Control method of battery energy storage system for peak clipping and valley filling in distribution network

Abstract

The invention discloses a control method of a battery energy storage system for peak clipping and valley filling in a distribution network. The control method comprises the following steps: obtaining a daily load curve on a predicted day according to a load predicating method, and computing the peak value and valley value of the daily load curve; setting a synthesis output valley value after participation of the energy storage system, and setting an initial value of synthesis output peak value; comparing predicated daily load data with the synthesis output valley value and the initial value of synthesis output peak value which have been set, and judging as follows: if the load data is smaller than the synthesis output valley value, charging the energy storage system to complete valley filling; and if the load data is larger than the initial value of synthesis output peak value, discharging the energy storage system to complete peak clipping, so that the synthesis output after energy storage adjustment reaches to the initial value of synthesis output peak value. At the peak and valley moments according to the load curve, the energy storage system is set to be charged once and discharged twice within one day, the requirement of peak clipping and valley filling can be achieved, and charging and discharging balance every day can be kept, so that the service life of the battery is prolonged to the maximum. Moreover, the control method also can ensure safe and stable operation of the energy storage system.

Description

technical field [0001] The invention belongs to the field of power systems, and in particular relates to a control method for a battery energy storage system used for peak-shaving and valley-filling of distribution networks. Background technique [0002] With the development of social economy and the improvement of people's living standards, the load in the power system presents the characteristics that the peak-to-valley load difference increases year by year, and the maximum load utilization hours decrease year by year. This will cause the scale of power equipment in the links of generation, transmission, and distribution to increase with the increase of the annual maximum load, but the annual maximum load utilization hours of the equipment will decrease, reducing the economics of power equipment investment and causing social resources. Underutilized. Although measures such as time-of-use electricity pricing and demand-side management can be implemented to achieve peak sh...

AI Technical Summary

Problems solved by technology

This will cause the scale of power equipment in the links of generation, transmission, and distribution to increase with the increase of the annual maximum load, but the annual maximum load utilization hours of the equipment will decrease, reducing the economics of power equipment investment and causing social resources. underutilized

Although measures such as time-of-use electricity pricing and demand-side management can be implemented to achieve peak shaving and valley filling, their effects are relatively limited

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