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

A multi-objective maintenance optimization method for electric power system under market environment

A market environment, power system technology, applied in information technology support systems, electrical digital data processing, special data processing applications, etc., can solve problems such as failure to fully understand relationships, ignoring research on conflicting relationships, etc.

Active Publication Date: 2017-06-13
ZHEJIANG UNIV
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This mechanism can reach a maintenance plan that satisfies all parties, including power generators and system operators, but ignores the research on the conflict relationship between the parties, and fails to fully understand the relationship between the parties

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 multi-objective maintenance optimization method for electric power system under market environment
  • A multi-objective maintenance optimization method for electric power system under market environment
  • A multi-objective maintenance optimization method for electric power system under market environment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0183] This patent assumes that there are 3 power generators in the electricity market, and according to the arrangement and combination, and according to the sequence of determining the maintenance plans of the power generators, there can be species, namely (1,2,3), (1,3,2), (2,1,3), (2,3,1), (3,1,2) and (3,2,1) These 6 kinds. (1,2,3) represents the flow chart of first determining the unit maintenance plan of generator 1, then determining the unit maintenance plan of generator 2, and finally determining the unit maintenance plan of generator 3. The opportunity cost of arranging unit maintenance during low electricity price periods is low. Since the capacity and total number of units to be overhauled at each time period are limited, if the unit maintenance plan of generator 1 is determined first, generator 1’s income will be relatively low. is large; and if the unit maintenance plan of generator 2 is determined first, the revenue of generator 2 will be larger. In this paten...

Embodiment 2

[0185] The data used in the present invention are based on the power generation costs, maintenance costs, start-up and shutdown costs, unit capacity, and the next 52 weeks, that is, T=52, the market weekly average electricity price and other data obtained in the power system of a certain power market environment. data. Other parameters are set as follows, R min (t, s) is taken as 0.05 times of the system load in sub-period s of time period t, N i (t) is taken as 3, the sub-period N=7, the number of power generators is 3, and there are 32 generating units in total, that is, np=32, and the number of objective functions is N obj Take it as 5, the maximum number of iterations in NSGA-II is set to 1500, and the total number of individuals in the population is N pop Set to 1200.

[0186] First of all, in order to verify the encoding conversion processing method described in step (3) and the initialization method described in step (4) in the present invention, use the described NS...

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 an electrical power system multi-target overhaul optimization method under market environment. The electrical power system multi-target overhaul optimization method comprises the following steps: obtaining the data of each electricity generator; establishing a power grid multi-target overhaul optimization model under the market environment; carrying out real number encoding to a unit output variable and a unit overhaul variable of the model, carrying out 0-1 binary encoding to a unit on-line state variable and a unit starting state variable in the model, and converting the unit on-line state variable and the unit starting state variable into dependent variables represented by the unit output variable and the unit overhaul variable from independent variables; initializing the unit output variable and the unit overhaul variable; taking obtained variable initialization values as the population initialization input of a quick non-dominated sorting method for solving to obtain an optimal solution set; and determining a final unit overhaul and output scheme from the obtained optimal solution set by adopting a multi-target decision method. The electrical power system multi-target overhaul optimization method is simple to execute, is high in expandability and can be used for solving multi-target overhaul optimizations of different target functions and constraint conditions.

Description

technical field [0001] The invention belongs to the technical field of power system optimization, and in particular relates to a multi-objective maintenance optimization method of a power system. Background technique [0002] Under the electricity market environment, the arrangement of the generator maintenance plan is very different from the traditional generator maintenance plan. In the electricity market environment, each power generation company pursues the maximization of its own interests. At the same time, the system operating organization, such as the power dispatching center, needs to ensure the safety and reliability of the system. Power generators want to arrange their units to be overhauled during low power price periods, while system operators hope to arrange unit overhauls during low-load periods. Since low-power price periods and low-load periods are not exactly the same, power producers and system operators are in the same position. There is a conflict relat...

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): G06F19/00
CPCY04S10/50
Inventor 詹俊鹏郭创新李志
Owner ZHEJIANG UNIV
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