Power Management Device Predicting Load Response Time
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Solution Overview
Problem
Existing power management methods for commercial facilities struggle to minimize inconveniences while reducing power consumption, as they do not effectively identify which load devices can contribute most to reducing power consumption within the given time frame.
Innovation Solution
A power management method that predicts potential power consumption exceeding a predetermined value, identifies load devices with a response time shorter than the remaining time, and presents these devices for immediate power reduction, allowing for optimal power consumption management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If load devices are suspended to reduce power consumption, then power consumption is reduced, but operational convenience deteriorates
Solution Approach 1:
The system performs preliminary identification of load devices that can be suspended before actual suspension occurs. By predicting future power consumption exceeding the contract demand and pre-identifying suitable load devices with short response times, the system prepares suspension candidates in advance, enabling timely power reduction while minimizing operational disruption through selective suspension of non-critical devices
Solution Approach 2:
The system continuously monitors power consumption and provides feedback to identify which load devices should be suspended. By comparing actual power consumption against contract demand and predicting future trends, the system dynamically determines which load devices to suspend, creating a closed-loop control that balances power reduction with operational convenience through iterative adjustment
2Loss of energy
If load devices are suspended immediately to reduce power consumption, then power consumption is reduced quickly, but response time availability deteriorates
Solution Approach 1:
The system performs preliminary identification of load devices that can be suspended before actual suspension occurs. By predicting future power consumption exceeding the contract demand and pre-identifying suitable load devices with short response times, the system prepares suspension candidates in advance, enabling timely power reduction while minimizing operational disruption through selective suspension of non-critical devices
Solution Approach 2:
The system dynamically adjusts the response time threshold for selecting load devices based on remaining time in the demand time period. As the demand time period progresses and remaining time decreases, the system adapts its selection criteria to prioritize devices with sufficiently short response times, creating a dynamic balance between immediate power reduction and maintaining adequate response capability
Data Source
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AI summary
A power management method includes a prediction step S101, an extraction step S104, and a presentation step. In the prediction step S101, it is predicted whether an integral power consumption will exceed a predetermined value during a reference time. In the extraction step S104, each load device for which a response time is less than a remaining time is extracted from among load devices that are currently in use. In the presentation step, each extracted load device is presented.