Energy-storage scheduling method and device for intelligent power grid

A smart grid, energy storage scheduling technology, applied in circuit devices, wind power generation, AC network circuits, etc., can solve problems such as low accuracy and efficiency, and achieve the effects of suppressing uncertainty, accelerating convergence speed, and stabilizing operation

Active Publication Date: 2016-12-21
FOSHAN POWER SUPPLY BUREAU GUANGDONG POWER GRID
View PDF2 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Energy-storage scheduling method and device for intelligent power grid
  • Energy-storage scheduling method and device for intelligent power grid
  • Energy-storage scheduling method and device for intelligent power grid

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The content of the present invention will be further described in detail below in conjunction with preferred embodiments and accompanying drawings. Apparently, the embodiments described below are only used to explain the present invention, not to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention. It should be noted that, for the convenience of description, only parts related to the present invention are shown in the drawings but not all content.

[0028] figure 1 is a schematic flow chart of an energy storage scheduling method for a smart grid in an embodiment of the present invention, such as figure 1 As shown, the energy storage scheduling method of the smart grid in this embodiment includes the following steps:

[0029] Step S110, obtaining the wind generator uncertainty model, ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/06H02J3/28G06Q10/04
CPCG06Q10/04H02J3/06H02J3/28H02J2203/20Y02E10/76
Inventor 刘晓华黄静谢志文曾庆辉陈志平
Owner FOSHAN POWER SUPPLY BUREAU GUANGDONG POWER GRID
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap