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Power system load modelling method

A technology of power systems and modeling methods, applied in information technology support systems, electrical components, circuit devices, etc.

Active Publication Date: 2010-07-28
STATE GRID HUBEI ELECTRIC POWER RES INST +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the identification method of model parameters has multiple solutions, how to identify the true solution of the model structure and parameters has not been reported yet.

Method used

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Embodiment Construction

[0040] A modeling method of power system load, the steps are as follows:

[0041] The first step: load classification 1 based on the daily active load curve, the load classification of the 220kV substation is carried out based on the daily active load curve.

[0042] Three time periods of the daily load are selected as the research objects, namely 7:00 to 8:00, 9:00 to 19:00, and 20:00 to 22:00, which are defined as the daily load low area, flat area, and peak area respectively. zone period.

[0043] On the basis of selecting some conventional static index parameters, according to the different characteristics of the changes in the subregions and time periods presented by the daily load curves of different types of substations, an index that can reflect the relative dynamic change trend of typical types of loads is defined, which is formed together with other parameters. 6-dimensional feature quantity data space: [x1, x2, x3, x4, x5, x6], using fuzzy c clustering method for c...

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Abstract

The invention discloses a power system load modelling method, including the steps that: A, load classification based on daily active load curve; B, load modelling based on statistic synthesis method; C, load model parameter sensitivity analysis and range analysis based on simulation analysis; D, load model parameter node identification based on genetic algorithm, namely node identification is carried out by taking fitted local disturbance data as target, setting low sensitivity parameter value as statistic synthesis method surveying parameter value and adopting the genetic algorithm, so as to obtain multiple groups of load model parameters; E, load model parameter wide area check based on WAMS, namely load model parameter check is carried out by taking the multiple groups of solutions identified by node as initial value and taking accurate fitting on system wide area dynamic characteristic as target, so as to obtain unique solution capable of reflecting wide area dynamic characteristic when system is subject to disturbance. The invention solves the problems of multiple solutions and identifiability of overall measuring identifying method by load point classification and load model parameter aggregation and has popularization and application values.

Description

technical field [0001] The present invention relates to the technical field of electric power system load modeling, and more specifically relates to a modeling method of electric power system load, which is suitable for load modeling with the object of 220kV substation load supply and the comprehensive load model considering power distribution network as the object and parameter identification problems. Background technique [0002] At present, digital simulation has become the main tool for power system planning, design, and operation. The accuracy of digital simulation results directly affects the correctness of decision-making in operation and planning, and is the basis for power system design, planning, and operation. The degree to which the power system simulation calculation matches the actual situation depends on the accuracy of the model used. Load modeling has its own particular difficulties compared to generator modeling. The comprehensive load on the high-voltag...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00H02J3/38G06F17/50
CPCY02E60/76Y04S40/22Y02E60/00
Inventor 周友斌忻俊慧孙元章雷庆生徐箭董航彭晓涛方华亮杨军李蕊
Owner STATE GRID HUBEI ELECTRIC POWER RES INST
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