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

Layered and distributed system structure and method for demand response resource combination optimization

A demand response and system architecture technology, applied in the field of layered and distributed system architecture, can solve the problems of high global computing complexity and inability to consider demand response resources, etc.

Active Publication Date: 2017-06-23
SOUTHEAST UNIV
View PDF6 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional centralized computing often cannot consider these characteristics of demand response resources, and the global computing complexity is very large

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
  • Layered and distributed system structure and method for demand response resource combination optimization
  • Layered and distributed system structure and method for demand response resource combination optimization
  • Layered and distributed system structure and method for demand response resource combination optimization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0139] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0140] Demand response resources are large in number, widely distributed, and have diverse types, characteristics, and control methods. If each demand response resource is directly controlled, the workload of communication, optimization, and control for the load aggregator will be huge, and it will not be possible to better develop demand response resources. Work in response to resource portfolio optimization. According to the characteristics of the load aggregator for resource combination optimization of demand response, a layered distributed architecture can be adopted to simplify the control workload of the load aggregator. The schematic diagram of the layered distributed architecture is as follows figure 1 shown.

[0141] A hierarchical distributed architecture for demand response resource combination optimization, including load aggregators at the top, load age...

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 layered and distributed system structure and method for demand response resource combination optimization. The system structure comprises a load aggregation merchant, load agencies and demand response resources, wherein the load agencies are a set of demand response resource equivalents, obtain related information of demand response resources and transmit the control information issued by the load aggregation merchant to the demand response resources; all the load agencies interact the information issued by the load aggregation merchant and the information of other load agencies through a communication network. The method simplifies calculation complexity, facilitates management of the load aggregation merchant and provides possibility for a great number of small-and-medium-size demand response resources taking part in system scheduling; a consistency algorithm and the Dantzig-Wolfe decomposition theory are used for carrying out distributed calculation on the load adjustment amount assignment problem, and compared with centralized optimization, the layered and distributed system structure increases calculation speed and is adaptive to nondeterminacy of demand response resources.

Description

technical field [0001] The invention relates to a combination optimization technology of electric power demand response resources, in particular to a layered and distributed architecture and method for combination optimization of demand response resources. Background technique [0002] With the reform of the electricity market and the liberalization of the demand side, a large number of users can participate in the optimal operation of the power system. These users are called demand response resources. Demand response resources are numerous, widely distributed, and have various characteristics. Centralized direct Scheduling is very difficult. Compared with traditional power generation resources, demand response resources have greater uncertainty, which is manifested as autonomous access or withdrawal, and the response ability also varies with the actual operating status of users. Traditional centralized computing often cannot consider these characteristics of demand respons...

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): G06F17/30G06F17/50
CPCG06F16/2471G06F30/20
Inventor 刘越王磊
Owner SOUTHEAST 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