Online load modeling parallel computing method based on electric energy quality monitoring system

A technology of power quality monitoring and load modeling, applied in the field of computing, can solve the problems of poor global convergence, long computing time, and difficult convergence of genetic algorithms, and achieve the effects of solving data source problems, improving computing efficiency, and improving timeliness performance

Inactive Publication Date: 2012-07-04
ELECTRIC POWER RES INST OF GUANGDONG POWER GRID
View PDF1 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the application of this model requires many parameters to be identified, with multiple peaks, slight differences in extreme points, and complex solution space.
The most commonly used methods for solving parameter identification include traditional optimization algorithms such as the least square method and a

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
  • Online load modeling parallel computing method based on electric energy quality monitoring system
  • Online load modeling parallel computing method based on electric energy quality monitoring system
  • Online load modeling parallel computing method based on electric energy quality monitoring system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] Embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0042] The load modeling method based on the power quality monitoring system is a method of using the power quality monitoring system to obtain data online and using asymmetric disturbance data load modeling. The implementation flow chart of this method is as follows figure 1 As shown, the specific steps are as follows:

[0043] 1. Through the data access interface of the power quality monitoring system, the grid disturbance events recorded in the database are monitored in real time. For the newly recorded grid disturbance events, the instantaneous values ​​of the three-phase voltage and current when the load substation fails or the voltage is disturbed are read.

[0044] 2. Perform three-point five-time smoothing and filtering on the instantaneous values ​​of the three-phase voltage and current, and correct the zero drift and inconsistent data...

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 relates to a power system load modeling parallel computing method based on an electric energy quality monitoring system. According to the method, the electric energy quality monitoring system acquires the disturbance data of a power grid, and an improved clone selection parallel computing algorithm is used for performing parallel computing identification processing on a model; and the fitting condition of the output power of the model with actually-measured load power is checked under different failure conditions, and a Mifare (MI) card and a fitting curve are output according to a Bonneville power administration (BPA) motor model. The electric energy quality monitoring system is used for acquiring the data, and the improved clone selection parallel computing algorithm is used for identifying load model parameters, so that the method has the characteristics of high identification accuracy, global convergence, high running speed and fitting real-time performance, and is applied to practical engineering application; high scalability and a high speed-up ratio are realized according to actual needs; the timeliness and usability of a load modeling process are improved; and the running efficiency of a software platform for load modeling operation under complex conditions is improved to a great extent.

Description

technical field [0001] The invention relates to a calculation method, in particular to a parallel calculation method for online load modeling of a power system based on a power quality monitoring system. Background technique [0002] The basis of digital simulation is to establish a mathematical model of each component of the power system - modeling for short, and its accuracy directly affects the error of the simulation result. At present, the models of generating units and transmission network are relatively mature. In contrast, the development of load modeling is relatively slow, and the load model has become one of the key factors restricting the calculation accuracy. Load modeling is a very complicated problem, because the load of the power system is composed of many different electrical equipment, and there are many types; and the load composition and load change randomly with time; and Lack of precise data on load composition; and load uncertainty and nonlinearity, w...

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): H02J3/00
Inventor 尹建华曹亚龙
Owner ELECTRIC POWER RES INST OF GUANGDONG POWER GRID
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