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

Smart distribution network self-restoration optimization method considering power quality and uncertainty constraint thereof

An intelligent distribution network, uncertainty technology, applied in reactive power compensation, reactive power adjustment/elimination/compensation, etc., can solve problems such as equipment damage, system active and reactive power imbalance, and difficulty in ensuring power supply recovery reliability.

Inactive Publication Date: 2016-01-27
WUHAN UNIV +1
View PDF2 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing methods only consider the island power balance constraints, and do not take into account the influence of power quality factors
Due to the small capacity of the island, its negative sequence and harmonic problems are more serious than those of non-islanded operation. The large negative sequence component may cause the negative sequence protection action of the distributed power supply and make the DG stop running, and the harmonic content is high. It poses a threat to the safe operation of various equipment such as shunt capacitors, and may cause equipment damage or out of operation, resulting in an imbalance of active or reactive power in the system, further leading to recovery failure, and it is difficult to guarantee the reliability of power supply recovery

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
  • Smart distribution network self-restoration optimization method considering power quality and uncertainty constraint thereof
  • Smart distribution network self-restoration optimization method considering power quality and uncertainty constraint thereof
  • Smart distribution network self-restoration optimization method considering power quality and uncertainty constraint thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0060] One, at first introduce the concrete steps of the present invention:

[0061] The method comprises the following steps:

[0062] Step 1: Analyze the operating status of the smart distribution network in real time based on the distribution automation system;

[0063] Step 2: If it is judged that the system is faulty, first divide the power supply islands based on the fast connectivity test, obtain the number of islands, and determine the specific composition of each island;

[0064] Step 3: Based on the rated power of each distributed power supply, calculate the power of the distributed power supply at a frequency of 49.5 Hz according to its frequency characteristics, as its maximum power;

[0065] Step 4: Calculate the initial network loss P in the case of 49.5Hz los0 and system power deficit ΔP G ;

[0066] Step 5: Taking the shedding state of each load as the optimization variable, specifically 0-1 type, establish an intelligent load shedding optimization model fo...

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 present invention provides a smart distribution network self-restoration optimization method considering a power quality and an uncertainty constraint thereof. With regard to each island, a load shedding optimization model is established for the goal of high important grade load optimization restoration and maximum total restoration quantity, a bi-level optimization model formed by a network reconstitution optimization model for the goal of the least number of switch motions and minimum transmission losses, and an optimal load shedding scheme is taken as the input of the network reconstitution optimization. Especially, in the network reconstitution optimization model, an uncertainty analysis of a negative sequence and a harmonic wave is performed through an entrance point method of estimation, so that a power quality comprehensive constraint set containing frequency constraint, the negative sequence, the harmonic wave and the uncertainty constraint thereof is established according to the possible variation range of the negative sequence and the harmonic wave obtained by the uncertainty analysis, therefore the power quality of the recovery scheme may be improved and the restoration failure may be avoided. Through the establishment of a power quality comprehensive constraint set, the goal of safe and reliable power supply restoration may be achieved.

Description

technical field [0001] The invention relates to a self-healing restoration optimization method of an intelligent distribution network considering power quality and its uncertainty constraints. Background technique [0002] The research on power supply recovery after distribution network failure has always been one of the hot issues in distribution network research. After a fault occurs in the traditional distribution network, the fault is first isolated by disconnecting the segmental switch at the fault point, and then the network reconstruction of the non-faulty grid is performed to restore power supply. With the access of distributed generation (DG), it is possible to guarantee the normal operation of part of the load in the form of an island after a fault. The traditional principle of dealing with isolated islands is: once the system fails, immediately disconnect all distributed power sources to prevent possible damage to the equipment in the system, eliminate potential ...

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
IPC IPC(8): H02J3/18
CPCY02E40/30
Inventor 林涛陈汝斯叶婧毕如玉郭紫昱徐遐龄
Owner WUHAN UNIV
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