Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Power grid new energy consumption capability assessment method considering flexible hydrogen storage

A technology of absorbing capacity and new energy, which is applied in the field of electric power, can solve problems such as abandoning wind and light, resource waste, etc., and achieve the effect of improving new energy absorbing capacity, improving new energy absorbing capacity, and making up for adverse effects

Active Publication Date: 2022-03-04
STATE GRID ANHUI ELECTRIC POWER
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, new energy power generation has inherent intermittent and fluctuating characteristics, and there are certain resource waste problems such as abandoning wind and light during its operation. Therefore, it is necessary to establish an optimal calculation method for new energy consumption capacity in power systems to promote Efficient and rational use of
In addition, green hydrogen energy generated from renewable energy using electrolysis water technology also has certain applications in the power system, and the use of large-scale hydrogen energy will bring new challenges to the optimal dispatch of the power 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
  • Power grid new energy consumption capability assessment method considering flexible hydrogen storage
  • Power grid new energy consumption capability assessment method considering flexible hydrogen storage
  • Power grid new energy consumption capability assessment method considering flexible hydrogen storage

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0074] Example: such as figure 1 As shown, a method for assessing the new energy consumption capacity of the power grid considering flexible hydrogen storage includes the following steps:

[0075] S1. Based on the historical data of the power grid, the long-short-term memory artificial neural network model is trained to obtain the time-series output prediction data of distributed new energy;

[0076] Among them, the historical data of the grid includes grid structure data, historical data of new energy output, and load demand data. The prediction method of the artificial neural network model is:

[0077] I t =σ(W xI x t +W hI h t-1 +W cI c t-1 +b I );

[0078] f t =σ(W xf x t +W hf h t-1 +W cf c t-1 +b f );

[0079] c t = f t c t-1 +I t tanh (W xc x t +W hc h t-1 +b c );

[0080] o t =σ(W xo x t +W ho h t-1 +W co c t-1 +b o );

[0081] h t =o t tanh(c t );

[0082] where x t is the input variable at time t; h t is the output variable...

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 discloses a power grid new energy consumption capability evaluation method considering flexible hydrogen storage, and the method comprises the steps: training a long-short-term memory artificial neural network model based on the historical data of a power grid, and obtaining the time sequence output prediction data of distributed new energy; constructing an input and output mathematical model of the electrolytic cell, and absorbing redundant new energy output for producing hydrogen; an optimal scheduling objective function for new energy consumption is constructed: minOF = S1 + S2 +... + Sn-Sm, S1S2... Sn is various costs, and Sm is income; considering a normal operation state of the power grid and an operation state after an emergency, and constructing an optimal scheduling constraint condition for new energy consumption; the objective function and the constraint conditions are integrated, the new energy consumption value is evaluated, the new energy consumption level is obtained, the mathematical model of the electrolytic cell and the mathematical model of the hydrogen storage device are included in the constraint conditions of new energy consumption optimization calculation, and the new energy consumption capacity is improved through reasonable utilization of green hydrogen energy.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a method for evaluating new energy consumption capacity of a power grid considering flexible hydrogen storage. Background technique [0002] With the increasing development of new energy power generation technology, the penetration rate of distributed new energy in the current power grid is gradually increasing, and the widespread use of clean distributed new energy will help realize the greening and low-carbonization of the power grid. However, new energy power generation has inherent intermittent and fluctuating characteristics, and there are certain resource waste problems such as abandoning wind and light during its operation. Therefore, it is necessary to establish an optimal calculation method for new energy consumption capacity in power systems to promote Efficient and reasonable utilization is particularly important. In addition, green hydrogen energy generated f...

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): H02J3/00H02J3/48H02J3/50H02J3/28H02J15/00G06Q10/06G06Q50/06
CPCH02J3/00H02J3/381H02J3/48H02J3/50H02J3/28H02J3/004H02J3/0075H02J3/008H02J15/008G06Q10/0639G06Q50/06H02J2203/20H02J2300/20H02J2300/24H02J2300/28H02J2300/40Y02E10/56Y02E70/30Y02P90/82
Inventor 叶海峰汤伟王正风李智李顺
Owner STATE GRID ANHUI ELECTRIC POWER
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products