Day-ahead low-carbon scheduling decision-making method with consideration to wind power integration based on theory of ordinal utility

A decision-making method and decision-making technology, applied in data processing applications, forecasting, instruments, etc., can solve problems such as inconvenient decision makers to optimize solutions, insufficient preference information characterization, and real-time wind abandonment.

Inactive Publication Date: 2018-09-18
STATE GRID ECONOMIC TECH RES INST CO +3
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Due to the randomness and volatility of wind power output, optimal scheduling based on the above-mentioned deterministic form-based power generation optimization decision-making method may lead to serious wind curtailment in real-time operation. At the same time, the multi-obje

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
  • Day-ahead low-carbon scheduling decision-making method with consideration to wind power integration based on theory of ordinal utility
  • Day-ahead low-carbon scheduling decision-making method with consideration to wind power integration based on theory of ordinal utility
  • Day-ahead low-carbon scheduling decision-making method with consideration to wind power integration based on theory of ordinal utility

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0034] Wind power is a renewable energy with great resource potential and basically mature technology. Under the new situation of reducing greenhouse gas emissions and coping with climate change, it has attracted more and more attention from all countries in the world, and has been developed and utilized on a large scale around the world. In recent years, China's wind power has developed rapidly. The installed capacity of wind power has doubled continuously, and the equipment manufacturing capacity has been rapidly improved. A relatively complete industrial system has been formed, laying a good foundation for the development of wind power on a larger scale. With the advanc...

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 provides a day-ahead low-carbon scheduling decision-making method with the consideration to wind power integration based on the theory of ordinal utility. The method employs a multi-scene method for describing the uncertainty of wind power output, and enables a power scheduling decision-making problem to be constructed into a two-stage coordinated optimization model, wherein the model can achieve the depicting the day-ahead clearing and real-time balance process of scheduling decision making, and enables the scheduling decision making result to be higher in adaptability under theuncertain wind power integration. Meanwhile, the method employs the theory of ordinal utility for the consideration of the economical performance and carbon emission target, and achieves the more complete depicting of the preference information of a decision maker for each target.

Description

technical field [0001] The invention relates to the technical field of power generation optimization dispatching, and more specifically, relates to a day-ahead low-carbon dispatching decision-making method based on ordinal utility theory considering wind power access. Background technique [0002] Energy-saving power generation scheduling has changed the traditional power generation scheduling method, canceling the practice of allocating power generation indicators according to administrative plans, aiming at energy saving and environmental protection, and taking the internal generation, transmission, and power supply equipment of the entire power system as the scheduling object, and prioritizing the scheduling of renewable and Clean power generation resources, according to energy consumption and pollutant discharge levels, use fossil power generation resources in order from low to high, minimize energy, resource consumption and pollutant discharge, and promote efficient and ...

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
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y04S10/50
Inventor 潘尔生娄素华吴耀武刘建琴范臻李晖王智冬吕梦璇戚庆茹刘斯伟高靖王春生王征
Owner STATE GRID ECONOMIC TECH RES INST CO
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap