A microgrid energy storage configuration method considering the schedulability of the microgrid system

Abstract

The invention provides a micro-grid energy storage configuration method considering the schedulability of the micro-grid system. Entropy is used to model the schedulability of the micro-grid. Based on the double-layer optimization model, a battery storage system considering schedulability constraints is proposed. Energy capacity optimization configuration model, and finally solve the optimal configuration model to obtain a microgrid energy storage configuration scheme considering the schedulability of the microgrid; compared with the existing energy storage configuration method based on the probability distribution of power prediction errors, the proposed The optimization model adds the schedulability constraints of the microgrid, and optimizes the rated power and rated capacity of the energy storage at the same time, effectively considering the impact of the energy storage state of charge, cumulative life loss and other operating state variables on the microgrid operation and energy storage configuration , the configuration result is beneficial to realize the friendly access of the microgrid to the external power grid.

Description

technical field [0001] The invention relates to the technical field of power grids, in particular to a microgrid energy storage configuration method considering the dispatchability of the microgrid system. Background technique [0002] The uncertainty of renewable energy in the microgrid increases the difficulty of dispatching and controlling the microgrid by the external grid. Dispatchability is an important requirement for improving the friendliness of the microgrid to the external grid in view of the uncertain characteristics of the microgrid. The exchange power of the tie line between the microgrid and the external grid needs to have strong controllability, which can reduce the unplanned power exchange of the tie line, so as to realize the friendly access of the microgrid to the external grid. [0003] Energy storage capacity allocation is an important part of microgrid planning and construction. As an important energy buffer device in the microgrid, energy storage play...

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Problems solved by technology

[0005] The energy storage configuration method based on the probability distribution of power prediction error has the following problems: 1) The power prediction error of renewable energy is directly regarded as the energy storage power, and the influence of the operating state variables such as the state of charge on the operation of the energy storage is not considered. The state of charge is The key indicators considered in the operation of energy storage, and the operation of energy storage directly determines the effect of energy storage in reducing the uncertainty of renewable energy; 2) This method first configures the rated power of energy storage, and then configures the rated capacity of energy storage, But in fact, in the energy storage planning problem, there is a coupling between the rated power and the rated capacity of the energy storage, and the relevant operating status information such as the state of charge and the cumulative life loss of the energy storage cannot be obtained only by the rated power of the energy storage. 3) Energy storage configurations with different confidence levels are quite different, how to choose the confidence level has not yet been discussed

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