Demand Response System with Dynamic Priority Adjustment
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Solution Overview
Problem
Existing demand response systems are limited in their ability to actively manage and reduce power consumption in smaller households and buildings, as they rely on manual control by managers and are not adaptable to changing consumer behaviors or environments.
Innovation Solution
A demand response method and system that determines device priorities using user preference profiles and outdoor temperature data, generates participation profiles, and adjusts priorities based on successful or unsuccessful participation in energy-saving campaigns, ensuring that devices participate in demand response sequences until a target energy savings is achieved.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If demand response management is performed manually by managers in factories or buildings, then power consumption reduction can be achieved, but the system is not adaptable to changing consumer behaviors or environments and is limited to large-scale facilities
Solution Approach 1:
The system enables devices to automatically participate in demand response programs without manual intervention. The demand response management server autonomously determines participation profiles for multiple devices, adjusts their operation according to participation profiles, and modifies priorities based on participation success, making the system self-managing and adaptive to changing conditions
Solution Approach 2:
The system dynamically adjusts device priorities and participation profiles based on real-time feedback from demand response participation outcomes. The server continuously modifies the operation of devices according to changing consumer behaviors and environmental conditions, making the system flexible and adaptive rather than static
2Adaptability or versatility
If automated demand response control is implemented, then adaptability to changing systems or conditions is improved, but device complexity and system infrastructure requirements increase
Solution Approach 1:
The demand response management server performs multiple functions including determining participation profiles for multiple devices, adjusting device operation according to these profiles, monitoring participation success, and dynamically modifying device priorities. This multi-functional approach consolidates complex operations into a single management system, reducing overall system complexity while maintaining high adaptability
3Productivity
If multiple devices are controlled to participate in demand response, then power consumption reduction effectiveness increases, but the complexity of managing device priorities and participation profiles increases
Solution Approach 1:
The system segments the demand response management into distinct functional components: determining participation profiles for individual devices, adjusting specific device operations according to their profiles, monitoring participation success for each device, and modifying priorities based on outcomes. This segmentation allows effective management of multiple devices while maintaining organizational simplicity
Solution Approach 2:
The system implements a feedback loop where the demand response management server monitors the success or failure of device participation in demand response programs and uses this information to dynamically adjust device priorities and participation profiles. This feedback mechanism optimizes power consumption reduction effectiveness while automating the complex task of managing multiple devices
Data Source
AI summary
A demand response method, a demand response system, and a recording medium are provided. The response control method includes: determining priorities of devices to be controlled to participate in a demand response; generating respective participation profiles for the devices based on the determined priorities; and changing the priorities of the devices included in the participation profiles, based on whether participation in the demand response according to the generated participation profiles succeeds. Therefore, the user easily participates in the demand response, and thus energy can be saved.


