Unlock instant, AI-driven research and patent intelligence for your innovation.

Active distribution network load fault recovery strategy optimization algorithm

An active distribution network and fault recovery technology, applied in wind power generation, single-network parallel feeding arrangement, etc., can solve the problem that key loads cannot be effectively restored during fault periods, and achieve the effect of improving reliability and resilience

Active Publication Date: 2020-01-24
BEIJING JIAOTONG UNIV
View PDF9 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The traditional fault recovery scheme is based on the output prediction value of intermittent energy sources such as wind power and photovoltaics when an accident occurs, and the controllable distributed power supply, distributed energy storage and other limited power generation devices carry out load recovery plans for the entire fault period, and fail to realize real-time information. Dynamically adjust the load recovery scheme based on the acquisition of the load, resulting in the inability to effectively recover the critical load during the fault period

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
  • Active distribution network load fault recovery strategy optimization algorithm
  • Active distribution network load fault recovery strategy optimization algorithm
  • Active distribution network load fault recovery strategy optimization algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0055] 1. Multi-period load restoration optimization model construction

[0056] 1.1 Objective function

[0057] Under the premise of ensuring the power supply of important loads under extreme faults, restore as many key loads as possible to establish an objective function, which has different weights for different levels of loads.

[0058]

[0059] Among them, T is the total fault duration; t is the time number; t K is the value of the current period, the value is 0, 1, ... T-1; L is the total number of loads; l is the number of loads; ω l is the weight of the lth load. The higher the load level, the greater the weight value. Here, the weight values ​​of the first-level, second-level, and third-level loads are set to 100, 10, and 1, respectively. c t,l is the load state variable, c t,l = 1 means that the load l is restored during the t period and is in the power supply state; c t,l = 0 means that the load l has not been restored during the t period and is in a power-o...

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 belongs to the technical field of power system control, and particularly relates to an active distribution network load fault recovery strategy optimization algorithm. According to a traditional fault recovery scheme, limited power generation devices such as controllable distributed generation (DG) and distributed energy storage carry out load recovery planning on a whole fault timeperiod according to the predicted output values of intermittent energy sources such as wind power and photovoltaic power when an accident occurs, the real-time information cannot be acquired and the load recovery scheme cannot be dynamically adjusted, and therefore, key loads in the fault time period cannot be recovered. The invention provides an active distribution network load fault recovery strategy optimization algorithm, which comprises the following steps: S1, constructing a multi-period load fault recovery strategy optimization model; and S2, solving the optimization model by considering risk indexes. In consideration of random and uncertain output of intermittent energy sources such as wind power and photovoltaic power, a load recovery plan is dynamically corrected according to real-time measurement information of renewable energy sources after extreme disasters.

Description

technical field [0001] The application belongs to the technical field of electric power system control, and in particular relates to an optimization algorithm of an active distribution network load fault restoration strategy. Background technique [0002] The increasing frequency of extreme natural disasters around the world has caused a huge impact and test on the safe and stable operation of the power grid. Long-term and large-scale power outages have seriously affected the development of the national economy and the normal progress of social life. The power system is an important infrastructure for people's lives, and it is very important to improve its ability to deal with natural disasters. At present, different objective functions are established based on different perspectives for fault strategies under extreme disasters, such as the maximum number of recovery loads, the longest continuous operation time of key loads, and the minimum number of switch shutdowns, etc.,...

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): H02J3/46
CPCH02J3/46Y02E10/76
Inventor 谢桦许寅王奕凡
Owner BEIJING JIAOTONG UNIV