An electric heating comprehensive energy system scheduling method based on improved weak robustness optimization

An integrated energy system and robust optimization technology, which is applied in the field of electric-thermal integrated energy system scheduling based on improved weak robust optimization, can solve problems such as tolerance and slack limit

Active Publication Date: 2019-05-07
YANSHAN UNIV
View PDF7 Cites 46 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The invention provides a low-carbon scheduling method for electric-thermal integrated energy systems based on improved weak robust

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
  • An electric heating comprehensive energy system scheduling method based on improved weak robustness optimization
  • An electric heating comprehensive energy system scheduling method based on improved weak robustness optimization
  • An electric heating comprehensive energy system scheduling method based on improved weak robustness optimization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0136] Below in conjunction with accompanying drawing, the present invention is further described: in conjunction with attached body 1, the steps of the method of the present invention are as follows:

[0137] Step 1. Establish an integrated demand response model for electricity and heat

[0138] Step 1-1, price-based comprehensive demand response model: guide users to adjust electricity and heat demand through electricity price and heat price, respond to changes in system operation status, and establish a response model of user electricity consumption to electricity price and heat consumption to heat price ;

[0139] Price-based demand response guides users to adjust electricity demand through electricity prices and responds to changes in system operation status. User load adjustments are completely voluntary and can be regarded as non-schedulable DR resources. For the modeling of user electricity consumption responses to electricity prices, At present, the most widely 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
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an electric heating comprehensive energy system scheduling method based on improved weak robustness optimization. According to the invention, the model description of the powerdemand response (DR) is compared and expanded to the electric heating comprehensive demand response (IDR), and the price type and excitation type comprehensive demand response is modeled; Under the low-carbon background, an electric heating comprehensive energy low-carbon dispatching model containing a combined heat and power generation unit, a pumped storage electric boiler, a heat storage electric boiler and a heat storage device is established, and the electric power constraint condition and the thermal power constraint condition are determined with the minimum comprehensive energy operation cost and the maximum benefit of a carbon emission transaction model as objective functions; Considering the uncertainty of wind power and comprehensive demand response, and the improved weak robustoptimization is utilized to process the uncertainty of the source load side to obtain an improved weak robust low-carbon scheduling model of the electric heating comprehensive energy system; And finally, an improved bacterial population drug tendency algorithm (BCC) is adopted for solving, and the effectiveness of the proposed model and algorithm is verified through examples.

Description

technical field [0001] The invention relates to the field of dispatching of large power grids, in particular to a dispatching method of an electric-thermal comprehensive energy system based on improved weak robust optimization. Background technique [0002] As an important part of the Energy Internet, the electric-thermal integrated energy system connects the power system and thermal system through coupling elements such as cogeneration units, heat storage devices, electric boilers, and heat pumps to realize the conversion of electric energy and heat energy, which can be reasonably Configure the production and conversion process of electric energy and thermal energy. With the introduction of the concept of integrated energy system, the research on the optimal operation of integrated energy system has gradually become a research hotspot of scholars at home and abroad. [0003] In the context of integrated energy, it is of far-reaching significance for the electric power indu...

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): G06Q50/06
CPCY02E40/70Y04S10/50
Inventor 张晓辉赵晓晓钟嘉庆李阳刘小琰
Owner YANSHAN UNIV
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