Load Control System with Consumer Refusal Feedback
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Solution Overview
Problem
Existing load control systems often cause consumer annoyance, leading to reduced adoption and withdrawal from the system, as they do not effectively manage power demand adjustments without hindering user satisfaction.
Innovation Solution
A power demand adjustment system that includes a control apparatus and a processing apparatus, which measure and predict electricity demand and supply, select candidate devices for load control based on evaluation values, and send confirmation and control commands, allowing consumers to refuse load control for specific devices, thereby enhancing user satisfaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If load control is implemented to reduce power demand, then power supply stability is improved, but consumer satisfaction deteriorates due to annoyance
Solution Approach 1:
The system performs preliminary actions by predicting power demand and supply before the actual control period, selecting candidate devices in advance, and sending confirmation information to consumers before implementation. This allows consumers to anticipate and prepare for load control, reducing surprise and annoyance while ensuring power supply stability is maintained through pre-planned adjustments.
Solution Approach 2:
The system implements feedback mechanisms by receiving confirmation responses from consumers about whether they accept the predicted load control, and using this feedback to adjust the control strategy. If consumers refuse control for certain devices, the system respects this feedback and excludes those devices from control targets, thereby maintaining consumer satisfaction while still achieving power demand management through alternative devices.
2Reliability
If load control is enforced to manage peak demand, then power grid stability is improved, but system adoption rate deteriorates due to consumer withdrawal
Solution Approach 1:
The system sends confirmation information to consumers in advance of the actual load control implementation, allowing them to review and accept or refuse control for specific devices. This preliminary engagement builds consumer trust and understanding, reducing withdrawal rates while maintaining grid stability through agreed-upon control measures.
Solution Approach 2:
The system dynamically adjusts load control targets based on consumer responses to confirmation information. By receiving refusal information and excluding certain devices from control, the system adapts to individual consumer preferences and conditions, making the load control more flexible and acceptable to diverse users, thereby improving adoption rates while maintaining grid stability.
3Loss of energy
If predictive load control is implemented to optimize power distribution, then energy efficiency is improved, but system complexity increases due to prediction and confirmation processes
Solution Approach 1:
The system performs prediction of power demand and supply, and selection of candidate devices for control, before the actual control period. This preliminary planning optimizes energy distribution by identifying the most appropriate devices for load control based on predicted conditions, improving energy efficiency while consolidating complex operations into a pre-processing stage.
Solution Approach 2:
The system enables consumers to participate in the load control decision-making process by receiving confirmation information and providing refusal responses for specific devices. This self-service approach allows consumers to manage their own preferences and conditions, reducing the need for complex centralized decision-making algorithms while still achieving optimized energy distribution through consumer-informed selections.
Data Source
AI summary
A processing apparatus predicts a first demand amount and a first supply amount in the plan period, selects a candidate group, which is a candidate of a target of a load control, from among the plurality of devices, sends confirmation information that indicates a confirmation of the load control to a communication destination corresponding to the candidate group, upon receiving refusal information that indicates that the load control is refused, excludes the device corresponding to the refusal information from the candidate group, after the selection of the candidate group, receives second demand information and second supply information, predicts a second demand amount and a second supply amount in the plan period, selects a target group, which is a target of the load control, from among the candidate group, and sends a command to the control apparatus corresponding to the target group.