Method for determining probability optimal power flow based on vine copula function

An optimal power flow and probability technology, which is applied to AC networks with different sources of the same frequency, AC network circuits, and wind power generation, etc., can solve problems such as low computational efficiency and failure to solve probabilistic optimal power flow, and achieve high computational efficiency. Effect

Inactive Publication Date: 2018-08-28
HUAZHONG UNIV OF SCI & TECH
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at the above defects or improvement needs of the prior art, the present invention provides a method for determining the probabilistic optimal power flow based on the vine copula function, thus solving the defects in the prior art when describing the correlation between multiple wind farms, and the computational efficiency Low, and there is no technical problem in solving the probability optimal power flow

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
  • Method for determining probability optimal power flow based on vine copula function
  • Method for determining probability optimal power flow based on vine copula function
  • Method for determining probability optimal power flow based on vine copula function

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0039] Such as figure 1 As shown, the present invention proposes a method for determining the probabilistic optimal power flow based on the vine copula function, including: establishing a probabilistic optimal power flow model with multiple wind farms based on the minimum power generation cost as the objective function; fitting according to non-parametric kernel density Wind speed, establish the wind ...

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 method for determining a probability optimal power flow based on a vine copula function. The method comprises the following steps that the minimum power generation cost serves as a target function, and a probability optimal power flow model containing the multi-wind electric field is built; a single wind power plant wind speed distribution function is established according to the non-parameter nuclear density fitting wind speed; a single wind power plant wind speed distribution function and a vine copula function are utilized, and a multi-wind power plant wind speed combined distribution model is built; M scenarios of loads and wind power and the probability of occurrence of each situation can be determined based on a multi-wind power plant wind speed combined distribution model and by means of a Rosenblat transformation and a three-point estimation method; according to the probability optimal power flow model of the multi-wind power plant, the optimal power flow under the M scenes can be calculated by utilizing an internal point method; the probability optimal power flow is obtained according to the optimal power flow under the m scenarios and the probability of each situation. According to the invention, the diversified correlation structure of the wind speed is effectively described, and the calculation efficiency is high, so that effective information can be provided for the operation of the electric power system in time.

Description

Technical field [0001] The present invention belongs to the field of probability optimal power flow calculation, and more specifically, relates to a method for determining the probability optimal power flow based on a vine copula function. Background technique [0002] In recent years, the installed capacity of wind power has increased rapidly, but the issue of wind power consumption has become the main bottleneck to curb its development. The randomness, volatility, and intermittency of wind power have had a huge impact on the operation of the power system; in addition, within a certain range of space, there are complex correlations among wind farms. Therefore, in analyzing the optimal power flow problem of a power system with multiple wind farms, the uncertainty and correlation of wind power should be comprehensively considered, and a probabilistic optimal power flow model considering the correlation of wind speed should be established. [0003] In order to solve the probabilisti...

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 Applications(China)
IPC IPC(8): H02J3/06H02J3/38H02J3/48H02J3/50
CPCH02J3/06H02J3/386H02J3/48H02J3/50H02J2203/20Y02E10/76
Inventor 韩佶苗世洪段偲默叶畅李姚旺
Owner HUAZHONG UNIV OF SCI & TECH
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