A capacity allocation method for energy storage participating in peak shaving based on a two-layer model

Abstract

This application discloses a capacity allocation method, device, equipment and computer-readable storage medium based on a two-layer model for energy storage to participate in peak shaving. The method includes: constructing a third layer with the goal of maximizing net income during the entire life cycle of the energy storage system. One-level optimization objective function, set the constraint conditions; construct the second-level optimization objective function with the goal of minimizing the sum of the per unit value of wind power curtailment within the dispatching day and the per unit value of the net load peak and valley standard deviation; use the constraint conditions to optimize the first level The first layer optimization objective function is used to constrain, and the corresponding candidate configuration scheme is obtained according to the first layer optimization objective function; multiple candidate configuration schemes are screened according to the second layer optimization objective function to determine the optimal configuration scheme of the energy storage system. The above technical solution disclosed in this application can enable the energy storage system to achieve better peak shaving effects and obtain better net income when participating in peak shaving, thereby improving the rationality and accuracy of the energy storage system configuration.

Description

technical field [0001] The present application relates to the technical field of energy storage configuration, and more specifically, relates to a capacity configuration method, device, equipment and computer-readable storage medium for energy storage participating in peak shaving based on a two-layer model. Background technique [0002] In the current energy Internet, how to improve energy utilization and promote the consumption of renewable energy is a current research hotspot. Taking wind power as an example, with the continuous increase in the penetration rate of renewable energy such as wind power, the economic problems caused by wind curtailment are still relatively serious. In order to solve the above peak shaving problem, it is necessary to give full play to the peak shaving capability of the thermal power unit, but making the unit enter the deep peak shaving stage or even the start-stop peak shaving stage will increase the operating loss of the unit and reduce its e...

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Problems solved by technology

[0003] Configuring energy storage systems in wind power high-permeability grids can effectively improve grid peak regulation pressure and increase grid wind power capacity, but the configuration of energy storage systems affects the effect of energy storage participating in peak regulation and its economy, so it is necessary to design energy storage reasonably The configuration strategy of system operation makes it take into account both peak shaving technology and economy

However, the current research on energy storage configuration does not take into account the optimization of energy storage charging and discharging power and the net income in the whole life cycle, therefore, it will reduce the rationality and accuracy of energy storage system configuration

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