Aggregate Load Management Using Randomized PWM
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Solution Overview
Problem
Existing energy management methods, such as voltage reductions and rolling blackouts, cause significant disruptions to consumers and cannot adjust power reduction by a controlled amount, leading to equipment damage and quality of life impacts during peak demand periods.
Innovation Solution
A method and system for aggregate load management using randomized pulse width modulation (PWM) to control power-consuming devices, determining load capacity limits, selecting demand reduction targets, and sending control signals to controllers in the utility system to synchronize and randomize the operation of power-consuming devices, thereby managing load demand effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If voltage reductions or rolling blackouts are used to prevent outages during peak demand, then system stability is improved, but consumer quality of life deteriorates and equipment damage occurs
Solution Approach 1:
The system implements periodic demand reduction events using randomized pulse width modulation (PWM) to cycle power-consuming devices on and off in a controlled manner. This periodic action prevents continuous overload while avoiding permanent outages, thereby maintaining system stability without causing equipment damage or severe consumer disruption.
Solution Approach 2:
The system dynamically adjusts the operation of power-consuming devices based on real-time load conditions and capacity limits. By randomly varying the duty cycle of PWM signals, the system creates dynamic load management that adapts to changing conditions, preventing both system overload and harmful disruptions to consumers.
2Reliability
If bulk-level load control is applied to reduce peak demand, then system capacity limits are protected, but precise control of power reduction amount is lost
Solution Approach 1:
The system applies different control strategies to different localities or groups of power-consuming devices based on their specific characteristics and the local load conditions. This allows precise control of power reduction amounts in different areas while collectively protecting overall system capacity limits, enabling both reliability and adaptability.
Solution Approach 2:
The system changes the PWM duty cycle parameter randomly within defined bounds to achieve controlled power reduction. By adjusting this parameter dynamically, the system can precisely control the amount of power reduction while ensuring capacity limits are not exceeded, resolving the contradiction between protection and adaptability.
3Power
If direct load control cycles HVAC systems to reduce demand, then peak load is reduced, but consumer comfort and equipment longevity deteriorate
Solution Approach 1:
The system provides beforehand cushioning by maintaining HVAC systems in a ready state and using gentle PWM cycling rather than abrupt on/off control. This approach reduces peak load while minimizing thermal shocks to equipment and maintaining consumer comfort, preventing the harmful effects associated with traditional direct load control.
Solution Approach 2:
The system replaces traditional mechanical on/off control of HVAC systems with electronic pulse width modulation (PWM) control. This substitution allows for smoother, more gradual power adjustment that reduces peak demand while protecting equipment from mechanical stress and maintaining consumer comfort through controlled temperature management.
Data Source
AI summary
A method for aggregate load management includes determining whether a load capacity limit within a utility power network will be exceeded, selecting an aggregated demand reduction target to remain within capacity bounds if the load capacity limit is to be exceeded, selecting a demand reduction strategy, and sending a control signal that includes a randomized PWM level, based on the strategy, to a controller in a load component of the utility system based on the reduction target. A method for component load management includes receiving a control signal from a utility system based on a utility demand reduction strategy, converting the signal into randomized PWM control of the load component in accordance therewith, receiving an updated control signal based on utility system monitoring of an aggregate load of a component of the utility system, and converting the updated signal into randomized PWM control of the load component in accordance therewith.


