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

A robust scheduling method considering wind power and load prediction uncertainty

A scheduling method and uncertainty technology, applied in wind power generation, electrical digital data processing, special data processing applications, etc., to achieve the effect of reducing scheduling costs

Inactive Publication Date: 2019-05-21
ELECTRIC POWER RES INST STATE GRID SHANXI ELECTRIC POWER +2
View PDF3 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it is difficult to find the theoretical global optimal solution directly from the huge discrete variable space for the mixed integer programming problem of the power system dispatching model considering the network power flow limitation.

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 robust scheduling method considering wind power and load prediction uncertainty
  • A robust scheduling method considering wind power and load prediction uncertainty
  • A robust scheduling method considering wind power and load prediction uncertainty

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The embodiments will be described in detail below in conjunction with the accompanying drawings.

[0024] Such as figure 1 As shown, a method of robust scheduling considering the uncertainty of wind power and load forecasting includes the following steps:

[0025] Step A. Use the correlation coefficient matrix method to describe the correlation between the input load and wind power prediction error, and express the correlated random variables into a random variable matrix independent of each other through the Cholesky method.

[0026] Step A1: Let the input sample matrix be W=[w 1 ,w 2 ,...w l ] T , and its correlation coefficient matrix is ​​C w .

[0027]

[0028] Each element of the matrix can be obtained by formula (1):

[0029]

[0030] In formula (2): and are the input variable w i and w j standard deviation; C ov (w i ,w j ) is the input variable w i and w j covariance of . Since the matrix C w is a positive definite matrix, which underg...

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 belongs to the technical field of power system dispatching automation, particularly relates to a robust scheduling method considering uncertainty of wind power and load prediction, whichcomprises the following steps of: describing the correlation between input load fluctuation and a prediction error of wind power output by using a correlation coefficient matrix method, and converting random variables with correlation into mutually independent random variable matrixes by using a Cholesky decomposition method; Constructing a probability density model of prediction errors of wind power output and load fluctuation by adopting non-parameter kernel density estimation; Introducing the direct-current power flow model into a power system dispatching model, and establishing an objective function and a constraint condition under the condition of uncertain factors by taking the minimum total dispatching operation cost of the system as an objective function of the model; adopting Benders decomposition method to solve a UC main problem of a robust SCUC problem, a network security check sub-problem of the UC main problem under a basic scene, and a network security check sub-problemunder an uncertain scene of new energy power generation and load.

Description

technical field [0001] The invention belongs to the technical field of electric power system scheduling automation, and in particular relates to a robust scheduling method considering the uncertainty of wind power and load forecasting. Background technique [0002] The power system scheduling problem is to determine the optimal scheduling scheme and ensure the safe and economical operation of the power system under the goal of minimizing the operating cost of the system, considering various constraints of the system and generating units. The problem of unit combination in power system scheduling mainly includes two aspects: one is the formulation of the decision-making scheme for starting and stopping thermal power units; the other is economic dispatching of the power system. That is, which units are selected for power generation and how to arrange their output in a cycle of power system dispatching. The traditional unit combination constraints include equality and inequali...

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): G06Q50/06G06F17/50H02J3/38
CPCY02E10/76Y04S10/50
Inventor 王玮茹刘新元郑惠萍王金浩段永泽郝捷程雪婷薄利明段伟文杨尉薇曲莹薛敏张智姚远陈艳波刘锋
Owner ELECTRIC POWER RES INST STATE GRID SHANXI ELECTRIC POWER
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