A Granular Computing Method for Large-Scale Economic Dispatch Problems of Power Grids

An economic scheduling and granular computing technology, applied in the field of granular computing, can solve problems such as shortening computing time

Active Publication Date: 2021-01-08
保定市兆微软件科技有限公司
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a granular computing method for large-scale economic dispatching problems of power grids by adopting a layered method to decompose the economic dispatching problem into multiple layers to reduce the computational complexity, shorten the computing time, and improve the accuracy and efficiency of power flow calculations

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 Granular Computing Method for Large-Scale Economic Dispatch Problems of Power Grids
  • A Granular Computing Method for Large-Scale Economic Dispatch Problems of Power Grids
  • A Granular Computing Method for Large-Scale Economic Dispatch Problems of Power Grids

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0105] The present invention will be further described below in conjunction with the accompanying drawings:

[0106] like Figure 4 As shown, the method of the present invention comprises the following steps:

[0107] Step 1, establish an economic dispatch model, including its objective function and constraints;

[0108] Step 1-1, the specific process of establishing an economic dispatch model is as follows:

[0109] In the case of satisfying the constraints, the objective function is to take the lowest total power generation cost of the generator as the objective function, and its mathematical expression is as follows:

[0110]

[0111] where P G,i is the output power of the ith generator; a i , b i , c i is the cost coefficient of generator set i; N is the number of all generators;

[0112] Step 1-2, set the constraints of the model, the constraints include system power balance constraints, conventional unit output upper and lower limit constraints;

[0113] The s...

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 granular computing method for aiming at a large-scale economical scheduling problem of a power grid. The method comprises the steps of 1, establishing an economical scheduling model which comprises an objective function and a restricting condition of the model; 2, performing layered granulating on the power grid; 3, performing parameter equalization; 4, performing granularity dividing; 5, processing a restraining condition; and 6, optimizing set output by means of the granular computing method. The granular computing method has beneficial effects of realizing comprehensive factor consideration, improving computing precision, presetting layered granulating and applying an analytic hierarchy process for solving the problem, greatly reducing computing time and improving computing efficiency. For a large-scale power grid, if an appropriate set dividing method is utilized and particle parameter equalization is performed, a problem of difficult convergence can be settled and furthermore computing speed can be improved.

Description

technical field [0001] The invention relates to the technical field of economic dispatch of power systems, in particular to a granular computing method for large-scale economic dispatch problems. Background technique [0002] Economic dispatch takes the power supply cost or the lowest energy consumption of the whole network as the objective function, and dispatches according to the equal micro-increment rate method and the coordination equation. It is an important tool to realize the economic operation of the power system. It is a scheduling principle that has been widely used in countries around the world. At present, the main problems encountered in online economic dispatch research for large power grids are the large amount of data, the long time period for acquisition and operation, and the difficulty in reflecting the power grid operation in real time, making it difficult to realize economic dispatch. Economic dispatch of power system is a high-dimensional, non-convex ...

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): G06Q10/06G06Q50/06
CPCG06Q10/06312G06Q50/06Y02E40/70Y04S10/50
Inventor 李学平郭东成方亮星
Owner 保定市兆微软件科技有限公司
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