A Scheduling Method for Energy Storage System Based on Peak Shaving and Valley Filling

Abstract

The invention provides an energy storage system scheduling method based on peak clipping and valley filling. The energy storage system scheduling method based on peak clipping and valley filling comprises the following steps of (1) reading load output data, energy storage parameters and time-of-use electricity price data which are predicted in a future day; (2) calculating difference between the existing data and a standard and electric cost expenditure before optimizing; (3) solving power outputting of an energy storage system under different weighting functions; (4) calculating evaluation indexes after peak clipping and valley filling are carried out; (5) calculating expenses of peak clipping and valley filling; and (6) making a weight coefficient curve for peak clipping and valley filling evaluation indexes and the expenses. Objective functions are adjusted, and the problem that objective functions with different physical significances and different dimensions cannot be subjected to weighting summation is solved effectively. The running cost of the energy storage system is reduced. Capacity allocation of the energy storage system can be optimized further by an owner of the energy storage system. The energy storage system scheduling method based on peak clipping and valley filling has certain applicability and operability.

Description

technical field [0001] The invention relates to an energy storage system scheduling method, in particular to an energy storage system scheduling method based on peak shaving and valley filling. Background technique [0002] The power consumption of users has specific rules, and the power consumption varies greatly in different time periods, resulting in peaks and valleys in the load of the power system every day, resulting in multiple starts and stops of the unit, which is not conducive to the economic operation of the unit and also reduces the system. If the load rate is too low, the network loss will increase. And with the development of the power industry, the scale and capacity of the power grid are also expanding, and the peak or even peak load and the peak-to-valley difference of the power grid in the corresponding area are getting larger and larger. In order to reduce the gap between the peak and the trough, improve the system For the stability and economy of operati...

AI Technical Summary

Problems solved by technology

However, the control method that considers the comprehensive economic benefits such as the operating cost of the energy storage system and the economy of peak load shifting and valley filling is not yet perfect.

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