Energy storage scheduling method and device for smart grid

Abstract

The invention relates to an energy-storage scheduling method and device for an intelligent power grid, and the method comprises the steps: obtaining a power generator uncertainty model, a load uncertainty model and an electric car charging uncertainty model in the intelligent power grid, wherein the intelligent power grid comprises a wind power generator, an energy storage apparatus, and an electric car charging station; carrying out the stochastic load flow calculation of the intelligent power grid through employing a two-point estimation method based on a fourth-order Gram-Charlier series expansion equation, carrying out the random sampling of a stochastic load flow calculation result, and obtaining an expected load flow distribution; determining a constraint condition according to the expected load flow distribution, solving a pre-built target function through employing a particle swarm optimization algorithm based on a segmented inertia decreasing weight, and obtaining an optimal energy storage scheme meeting the constraint condition; and carrying out the scheduling of the energy storage device according to the optimal energy storage scheme. The method can effectively inhibit the uncertainty of the intelligent power grid, and enables the intelligent power grid to operate safely and stably.

Description

technical field [0001] The invention relates to the field of smart grids, in particular to an energy storage scheduling method and device for smart grids. Background technique [0002] With the increasing maturity of smart grid technology, the fields of wind power generation and electric vehicles are developing rapidly. The random characteristics of the two will inevitably bring many uncertain factors to the operation of smart grid, and the integration of energy storage units in smart grid can reduce the Risks arising from the above uncertainties. [0003] Stochastic power flow is a macroscopic statistical method for the steady-state operation of the power system. Using probability theory to express the uncertainty in the system operation, the overall sample information of the system steady-state operation can be calculated. With the random factors such as wind power generation and electric vehicles With the large-scale integration of units into the grid, the uncertainty of...

AI Technical Summary

Problems solved by technology

However, the accuracy and efficiency of the energy storage scheduling method researched so far are low, which is not conducive to suppressing the uncertainty of the smart grid.

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