A Risk Assessment Method for AC-DC Hybrid System Containing Wind Power

An AC-DC hybrid and risk assessment technology, which is applied in the field of power flow calculation and risk assessment of power systems, and can solve problems such as not considering the impact of wind power grid systems.

Active Publication Date: 2020-12-29
ZHEJIANG UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problems that the current risk assessment method ignores the connection of wind power and the possible impact of the AC-DC hybrid transmission mode on the power grid system, the present invention provides a risk assessment method for the AC-DC hybrid system including wind power to solve the existing problems. The evaluation method does not take into account the possible impact of wind power access and AC / DC hybrid transmission on the power grid system. Quantitative power system operation risk indicators are established to realize power system risk assessment after wind power access

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 Risk Assessment Method for AC-DC Hybrid System Containing Wind Power
  • A Risk Assessment Method for AC-DC Hybrid System Containing Wind Power
  • A Risk Assessment Method for AC-DC Hybrid System Containing Wind Power

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0066]The present invention will be further described below in conjunction with the drawings and embodiments.

[0067]Such asfigure 1 As shown, a risk assessment method for an AC / DC hybrid system containing wind power specifically includes the following steps:

[0068]Step 1. According to the historical statistical data of wind speed of the wind farm, use the Weibull distribution biparameter curve to model the wind speed distribution of the wind farm;

[0069]The historical statistical data of wind speed comes from the hourly average wind speed data collected by the wind measuring tower of the local wind farm;

[0070]The general expression of the two-parameter Weibull distribution is:

[0071]

[0072]Among them, k is the shape parameter of the two-parameter Weibull distribution, reflecting the skewness of the Weibull distribution, and c is the scale parameter of the two-parameter Weibull distribution, reflecting the average wind speed in the wind speed distribution model;

[0073]Then the probability ...

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 risk assessment method for a wind power-based AC / DC hybrid system. The risk assessment method comprises the following steps: 1, according to the historical statistic wind speed data of a wind farm, modeling the wind speed distribution of the wind farm by using a Weibull distribution two-parameter curve; 2, according to a probability distribution model of the wind speed ofthe wind farm, sampling the wind speed by a non-sequential Monte Carlo method; 3, establishing a wind speed and wind turbine output model of the wind farm, and acquiring corresponding wind turbine output according to the wind speed of the wind farm, which is sampled by the non-sequential Monte Carlo method; 4, performing state analysis on a determined system state, and solving the tidal current of the hybrid system by a unified AC / DC system iteration method; 5, calculating a variance coefficient, judging whether a convergence condition of the non-sequential Monte Carlo method is met, if the convergence condition of the non-sequential Monte Carlo method is not met, returning to the step 2, and if the convergence condition of the non-sequential Monte Carlo method is met, calculating a comprehensive risk value. The risk assessment method is reliable, easy to implement and easy to popularize.

Description

Technical field[0001]The invention belongs to the field of power system power flow calculation and risk assessment, and particularly relates to a risk assessment method for an AC-DC hybrid system containing wind power.Background technique[0002]Risk is a comprehensive measurement of the probability and severity of uncertain operating scenarios. With the large-scale penetration of new energy sources, its randomness and intermittent nature require the power grid to operate closer to the limit state under multiple uncertain conditions, and the complexity of dispatching further increases. How to reasonably evaluate and control grid risks and ensure the safe and stable operation of the grid has become the focus of power system operation.[0003]With the continuous increase in the scale of the power system and the continuous advancement of power grid technology, the trend of renewable energy power generation is rapidly expanding, and the development of non-fossil energy is strong. my country...

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 Patents(China)
IPC IPC(8): H02J3/06H02J3/38
CPCH02J3/386H02J3/06H02J2203/20Y02E10/76
Inventor 陈页郭创新
Owner ZHEJIANG UNIV
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