Check patentability & draft patents in minutes with Patsnap Eureka AI!

A probabilistic power flow calculation based on semi-invariant method

A technique of probabilistic power flow calculation and semi-invariant method, which is applied to AC networks, AC network circuits, and circuit devices of the same frequency with different sources. improvement, etc.

Active Publication Date: 2018-12-18
GUANGDONG POWER GRID CO LTD +1
View PDF2 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] Scheme 5 improves the calculation efficiency and accuracy. However, the Cholesky decomposition adopted is only suitable for the case where the input variable correlation coefficient matrix is ​​symmetric and positive definite. However, in engineering practice, the input variable correlation coefficient matrix is ​​not positive definite, which limits the PLF-CM range of applications, and the uniformity of the sampling value of the LHS method still needs to be improved

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
  • A probabilistic power flow calculation based on semi-invariant method
  • A probabilistic power flow calculation based on semi-invariant method
  • A probabilistic power flow calculation based on semi-invariant method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0111] Such as figure 1 As shown, a semi-invariant probabilistic power flow calculation method includes the following steps;

[0112] S1: Input initial data, including power system data, CDF and PDF of random variable X;

[0113] S2: Generate an input random variable sample using a correlation random variable sample generation method;

[0114] S3: Use the Newton-Raphson algorithm to perform a deterministic power flow calculation at the reference point to obtain output variables D0, Z0 and sensitivity matrices S0 and T0;

[0115] S4: Determine whether the random variable X has correlation, if so, go to step S4, if not, go to step S8;

[0116] S5: Obtain the uncorrelated vector Y and load matrix P by the method of principal component analysis;

[0117] S6: According to the semi-invariant γ of each order of the random variable X (v) and its various order origin moments α (v) The relationship of each order semi-invariant ΔY of Y can be obtained (k) ;

[0118] S7: According ...

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 probabilistic power flow calculation of an electric power system, in particular to a probabilistic power flow calculation based on semi-invariant method, Firstly, the random sampling method based on Halton series and SVD decomposition combined with Nataf transform is used to generate the discrete sample data of input random variables, Then the order semi-invariants of therandom variables are obtained by using the relation between the semi-invariants and the origin moments, and the deterministic power flow is calculated at the datum point. Then the order semi-invariants of the output random variables are obtained, and finally the numerical characteristics and probability statistics of the output random variables are obtained. A method for carry out probabilistic power flow analysis in power system features that a plurality of mathematical analysis methods are used to provide a probabilistic power flow analysis method with simple, high efficiency and good robustness in power system with strong randomness.

Description

technical field [0001] The invention relates to the calculation of power system probability flow, in particular to a semi-invariant method probability flow calculation method. Background technique [0002] There are a large number of random factors in the power system. With the development of the power industry, the penetration rate of renewable energy power generation represented by wind and light in the power system continues to increase, and the system faces more uncertainties. The wide application of electric vehicles and active loads has greatly enhanced the interaction between the source-network-load of the power system, leading to an increasingly complex and changeable power system operation mode. Probabilistic Load Flow (PLF) calculation can comprehensively and effectively consider the influence of uncertain factors of power system regularity on system operating characteristics, and has received extensive attention. [0003] There are many methods of probabilistic p...

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): H02J3/06
CPCH02J3/06H02J2203/20
Inventor 叶嘉俊叶舒怡阮琪雅宁立欧嘉俊李阳昊
Owner GUANGDONG POWER GRID CO LTD
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com