Home Appliance Load Scheduling for Peak Demand Smoothing
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Solution Overview
Problem
Power distributors face challenges in managing peak demand spikes, leading to brownouts and higher energy costs due to unpredictable power requests from customers, as they lack advance information on power requirements.
Innovation Solution
Implementing Intelligent Appliance Load Managers (IALMs) and Intelligent Electrical Load Managers (IELMs) that communicate with power distributors to schedule power usage in advance, allowing electrical devices to operate during off-peak hours when electricity is cheaper, thereby reducing peak demand and more evenly distributing power throughout the day.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If power distributors rely on unpredictable customer power requests, then customers can operate devices whenever needed, but power demand spikes occur leading to brownouts and higher energy costs
Solution Approach 1:
The system performs preliminary actions by having customers communicate their power needs in advance to the power distributor. The distributor then proactively schedules power delivery during off-peak hours before the actual consumption occurs, eliminating the need for reactive load management during peak demand periods.
Solution Approach 2:
The system introduces dynamic scheduling where power delivery times are flexible and adjustable based on real-time grid conditions. Power can be delivered at different times within a scheduled window, allowing the system to adapt to changing demand patterns while maintaining customer convenience and grid reliability.
2Loss of time
If power is delivered during peak demand periods, then customers receive power when needed, but energy costs increase and brownouts occur
Solution Approach 1:
The system schedules power delivery in advance during off-peak hours, performing the power transfer before the actual consumption period. This preliminary action allows customers to receive power when grid conditions are favorable, avoiding high-cost peak period delivery while ensuring power availability when needed.
Solution Approach 2:
The system implements periodic power delivery schedules that alternate between off-peak and peak periods. By delivering power during off-peak periods and storing it or scheduling subsequent deliveries, the system reduces the frequency of high-cost peak period transactions while maintaining customer service levels.
3Adaptability or versatility
If power distributors purchase power on the open market without advance knowledge of demand, then market flexibility is maintained, but demand spikes lead to higher costs
Solution Approach 1:
The system performs preliminary demand assessment and communication, allowing power distributors to know their customers' power requirements in advance. This enables distributors to strategically purchase power on the open market during periods of lower prices and lower demand, rather than reacting to unpredictable spikes, thereby reducing overall energy costs while maintaining market flexibility.
Data Source
AI summary
A home appliance can operate in a future time frame. Information is obtained from a power distributor in order to determine a time when to operate the home appliance in this future time frame. The home appliance then operates at the time determined with information from the power distributor.