Check patentability & draft patents in minutes with Patsnap Eureka AI!

Flexible load prediction and control method based on active distribution network

An active distribution network, flexible load technology, applied in the direction of load forecasting, AC network load balancing, electrical components, etc. in the AC network, can solve the problems of high cost, low practical value, and poor economic benefits of the consumption technology, and achieve The effect of optimizing energy distribution, increasing load and control efficiency, and improving utilization

Active Publication Date: 2019-07-26
GUIZHOU POWER GRID CO LTD
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The consumption technology that relies solely on energy storage is expensive, has low practical value in large-scale use, and poor economic benefits

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
  • Flexible load prediction and control method based on active distribution network
  • Flexible load prediction and control method based on active distribution network
  • Flexible load prediction and control method based on active distribution network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0040] Example: such as figure 1 As shown, a flexible load forecasting and control method based on active distribution network, the method includes the following steps:

[0041] Step 1. The energy storage system of the distribution network uses a neural network prediction algorithm to predict the power generation of the distribution network to obtain a prediction model;

[0042] Step 2. Judging (how to judge) whether the power generation of the distribution network exceeds the load demand in the distribution network during the peak load period through the prediction model; if so, perform step 3; if not, perform step 4;

[0043] Step 3. Increase user load by means of transferable load and incentive load;

[0044] Among them, the method of transferable load is the transfer of different load periods, and the method of stimulating load refers to accepting the distribution network power compensation, that is, accepting the distribution network to increase the power consumption loa...

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 flexible load prediction and control method based on an active distribution network. The method comprises the following steps: allowing an energy storage system of the distribution network to predict generated power of the distribution network using a neural network prediction algorithm, judging if generating capacity of the distribution network exceeds a load demand in the distribution network in a peak load period, increasing a user load by means of a transferable load and an excitation load if so, and reducing the user load by means of direct load control and an interruptible load if not. The methods takes electric energy utilization ratio maximization as an optimization objective through the distribution network, optimizes dispatching by increasing the user load by means of the transferable load and the excitation load, or by reducing the user load by means of the direct load control and the interruptible load, increases the load of the distribution network, improves the control efficiency of the distribution network, optimizes energy distribution and increases an electric energy utilization ratio.

Description

technical field [0001] The invention belongs to the technical field of flexible load forecasting control of an active distribution network, and in particular relates to a flexible load forecasting and control method based on an active distribution network. Background technique [0002] With the large-scale multi-point access to the distribution network generated by a variety of energy sources, it will have a non-negligible impact on the operation of the distribution network. The consumption technology that relies solely on energy storage is expensive, has low practical value in large-scale use, and has poor economic benefits. The controllable load and flexible load resources in the distribution network are rich, with good dispatchability and interaction, and can be used as an important means of grid regulation and consumption of new energy. Therefore, there is a need for a distributed renewable energy large-scale access to the distribution network on-site consumption techno...

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): H02J3/00H02J3/28
CPCH02J3/00H02J3/28H02J3/003Y04S10/50
Inventor 高勇刘斌田宇毛雅茹范强向治华
Owner GUIZHOU POWER GRID CO LTD
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More