Power distribution area energy conservation and loss reduction method based on load prediction and phase sequence optimization

A distribution area and phase sequence optimization technology, applied in prediction, neural learning methods, gene models, etc., can solve problems such as three-phase loads and imbalances that cannot be effectively solved

Active Publication Date: 2020-03-31
HEFEI UNIV OF TECH
View PDF7 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] A method for energy saving and loss reduction in distribution stations based on load forecasting and phase sequence optimization proposed by the present invention can solve the technical problem that the manual phase modulation method based on historical data cannot effectively solve the unbalanced three-phase load to a certain extent

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 distribution area energy conservation and loss reduction method based on load prediction and phase sequence optimization
  • Power distribution area energy conservation and loss reduction method based on load prediction and phase sequence optimization
  • Power distribution area energy conservation and loss reduction method based on load prediction and phase sequence optimization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0084] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments.

[0085] Such as figure 1 As shown, the energy-saving and loss-reducing method for a power distribution station based on load forecasting and phase sequence optimization described in this embodiment includes the following steps:

[0086] Step 1. Collect the data of the distribution station area to form the original data sample set X. The original data sample set X includes: the grid structure of the station area, line parameters, three-phase current at the station outlet, power factor and distribution station area Daily electricity data of each user;...

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 distribution area energy conservation and loss reduction method based on load prediction and phase sequence optimization. The method comprises the steps of collecting data of a power distribution area; filling the missing data value by using an EM algorithm; calculating line power flow by using real data of the day of the phase modulation day, using the three-phasecurrent at the outlet of the transformer area as a daily load curve of each phase and using a forward-backward sweep method to obtain theoretical line loss of the power distribution transformer area;based on historical data, predicting outlet three-phase current of a phase modulation day and daily electric quantity of each user in the power distribution area by utilizing an Elman neural network;establishing an optimal commutation mathematical model taking the minimum line loss of the power distribution area and the minimum commutation frequency in the commutation process as targets, and solving the optimal commutation mathematical model by using a genetic algorithm to obtain each user phase sequence after phase modulation; and comparing the line loss and the three-phase imbalance degreechange of the user before and after the phase sequence is adjusted. The method can effectively predict the operation data of the power distribution area, and is used for the phase sequence adjustmentof the power distribution area, thereby enabling the area to achieve the energy saving and loss reduction.

Description

technical field [0001] The invention relates to the technical field of power grid energy saving and loss reduction, in particular to a method for energy saving and loss reduction in distribution stations based on load prediction and phase sequence optimization. Background technique [0002] Energy saving and loss reduction are of far-reaching significance to the economic operation of the power system, but in the low-voltage distribution network of the three-phase four-wire system, most of the loads are connected by single-phase, and the difference in the running time of the loads connected by single-phase Sexuality and uneven distribution will lead to the appearance of unbalanced three-phase load, and then the neutral line current will cause problems such as line loss and distribution transformer power loss, which will cause high loss in the distribution network. The structure of my country's low-voltage distribution network is complex, and the nature of the load is becoming...

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): G06Q10/04G06Q50/06G06N3/04G06N3/08G06N3/12
CPCG06Q10/04G06Q50/06G06N3/126G06N3/04G06N3/08Y04S10/50Y02E40/70
Inventor 韩平平潘薇张楠王希童青洋
Owner HEFEI UNIV OF TECH
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