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

Distribution network random fuzzy power flow algorithm based on two-stage random fuzzy simulation

A distribution network and fuzzy model technology, applied in photovoltaic power generation, wind power generation, electrical components, etc., can solve problems such as power flow calculations that cannot cope with the randomness and ambiguity of power output, so as to facilitate planning and design and safe operation, and improve Computational Efficiency Effects

Inactive Publication Date: 2018-08-31
SOUTH CHINA UNIV OF TECH
View PDF2 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These two power flow calculations are usually discussed and calculated separately, and cannot cope with power flow calculations where randomness and ambiguity exist at the same time

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
  • Distribution network random fuzzy power flow algorithm based on two-stage random fuzzy simulation
  • Distribution network random fuzzy power flow algorithm based on two-stage random fuzzy simulation
  • Distribution network random fuzzy power flow algorithm based on two-stage random fuzzy simulation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0059] The stochastic fuzzy power flow algorithm for distribution network based on two-stage stochastic fuzzy simulation provided by the embodiment of the present invention specifically includes the following steps:

[0060] S1. Establish its random fuzzy model according to the historical data of wind speed, light intensity and load;

[0061] Among them, the wind speed and light intensity use the Weibull distribution function and the beta distribution function to fit their distribution laws, specifically:

[0062] According to the historical data fitting of the wind speed in a period of time, a two-parameter Weibull function is obtained, and the range of its parameters is used as the starting point reference value of the fuzzy number of the random fuzzy model of wind speed;

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 discloses a distribution network random fuzzy power flow algorithm based on two-stage random fuzzy simulation, and belongs to the field of uncertain power flow calculation of power systems. The method considers the impact of two kinds of uncertainties: random and fuzzy of wind power output, photovoltaic output and load demand on network state variables. Firstly, a random fuzzy uncertainty model of wind power output, photovoltaic output and load demand is established, and then a distribution characteristic model of system voltage and power is obtained by two-stage random fuzzy simulation technology. The multi-point estimation technique is utilized in the random simulation phase, and the fuzzy simulation technique is utilized in the fuzzy phase to improve the computational efficiency of the algorithm. The algorithm can simultaneously consider the effects of both random and fuzzy uncertainties in the system, and can adapt to more system environments and be compatible with algorithms such as system stability control.

Description

technical field [0001] The invention belongs to the field of power flow calculation of new energy sources such as wind power and photovoltaics connected to a distribution network, and proposes a random fuzzy power flow algorithm for a distribution network based on a two-stage random fuzzy simulation. Background technique [0002] Power flow calculation is the basic calculation and foundation of power system stability calculation, safe operation and reliability planning. The result of power flow calculation will directly affect the planning, design and safe operation of power system. With the increasing number of uncertain new energy sources such as wind power and photovoltaics connected to the distribution network, it will bring uncertainty to the operation of the distribution network, especially the impact on the node voltage quality. These uncertainties usually contain both random and fuzzy characteristics. [0003] Taking into account the randomness of power output, ran...

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): H02J3/38H02J3/46
CPCH02J3/383H02J3/386H02J3/46H02J3/003H02J2203/20Y02E10/56Y02E10/76
Inventor 吴华仪董萍刘明波
Owner SOUTH CHINA UNIV OF TECH
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com