Multi-agent based electricity utilization strategy capable of enabling residential users to participate in automated demand response

A multi-agent, user technology, applied in data processing applications, instruments, forecasting, etc., can solve problems such as insufficient comprehensiveness

Inactive Publication Date: 2016-05-04
NORTHEAST DIANLI UNIVERSITY
View PDF2 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Moreover, the power consumption of residential users is relatively subjectiv

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
  • Multi-agent based electricity utilization strategy capable of enabling residential users to participate in automated demand response
  • Multi-agent based electricity utilization strategy capable of enabling residential users to participate in automated demand response
  • Multi-agent based electricity utilization strategy capable of enabling residential users to participate in automated demand response

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0075] Hereinafter, the present invention will be further explained with the drawings and implementation cases.

[0076] The power consumption strategy of the present invention based on multi-agent-based residential users participating in automatic demand response is based on figure 1 Establish a multi-Agent system interaction mechanism for residents:

[0077] (1) Grid Agent sends peak-to-valley time-of-use electricity price signals to user Agent through load concentrator Agent, and user Agent receives the electricity price signal and determines the power plan according to the objective function.

[0078] (2) The user agent transmits the electricity consumption data to the comprehensive electricity consumption database in the load concentrator Agent; the central coordinated control agent determines whether the control target of the load concentrator Agent is satisfied according to the comprehensive electricity consumption data. If it is satisfied, the power plan remains unchanged; i...

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 relates to a multi-agent based electricity utilization strategy capable of enabling residential users to participate in automated demand response. The multi-agent based electricity utilization strategy is characterized by designing a corresponding multi-Agent analog system and interaction mechanism according to the characteristic that the residential users participate in automated demand response. An electricity utilization habit satisfaction degree and an electricity utilization cost satisfaction degree are comprehensively considered, and aiming to maximize a user comprehensive satisfaction degree, an electricity utilization plan decision model is established; in order to achieve peak clipping and valley filling, a multi-target optimization model of a load centralized merchant Agent is established, and aiming to minimize a peak-valley difference of a balance load curve and maximize an average satisfaction degree of all users participating in automated demand response, an electricity utilization scheme is corrected; and during real-time operation, a power grid Agent releases a real-time demand response signal to carry out real-time regulation on the corrected electricity utilization scheme, and finally, proposes an index variable for evaluating an automated demand response behavior. The multi-agent based electricity utilization strategy can guide users who pay attention to electricity utilization cost to obviously reduce electricity utilization cost on the premise of not influencing daily life.

Description

technical field [0001] The invention relates to the technical field of smart grids, and is a multi-agent-based electricity utilization strategy for residential users to participate in automatic demand response. Background technique [0002] Automatic demand response is based on the introduction of intelligent terminals and automation technology on the basis of traditional demand response, so that participants participating in demand response can automatically activate preset settings according to received signals through an open, universal, and interoperable standard communication technology demand response strategy, so as to realize the automation and intelligence of demand response. Multi-agent system is an important branch of distributed artificial intelligence research, and its goal is to build a large complex system (software and hardware system) into a small system that communicates with each other and coordinates with each other, and is easy to manage. In the power s...

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): G06Q50/06G06Q10/04
Inventor 于娜李国庆黄大为于乐征刘甲利
Owner NORTHEAST DIANLI UNIVERSITY
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