Staggered Peak Consumption Scheduling for Rolling Outages
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Solution Overview
Problem
Resource distribution systems face challenges during peak consumption periods, leading to potential rolling outages due to demand exceeding production capabilities, which are difficult to manage and inequitable across all premises.
Innovation Solution
Implementing a peak resource management schedule that includes staggered peak and limited consumption periods, controlled by metering devices to manage consumption levels, with incentives for energy export and priority-based device control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If rolling outages are implemented to avoid system-wide blackouts during peak demand, then system reliability is improved, but management complexity increases and equity across premises deteriorates
Solution Approach 1:
The patent segments the customer base into multiple groups and assigns different peak demand schedules to each group. This segmentation allows the system to manage peak demand by staggering consumption patterns across different premises, avoiding simultaneous outages while maintaining system reliability. Each group experiences peak limitations at different times, reducing management complexity compared to uniform rolling outages.
Solution Approach 2:
The patent applies local quality by assigning customized peak demand schedules to different groups of premises based on their specific characteristics and needs. This ensures that each premises receives equitable treatment tailored to its requirements, improving fairness while maintaining system-wide reliability through differentiated management approaches.
2Reliability
If rolling outages are implemented during peak demand periods, then system reliability is improved, but equity across premises deteriorates
Solution Approach 1:
By dividing premises into multiple groups with different peak demand schedules, the system ensures equitable distribution of peak demand limitations. No single premises experiences the full brunt of rolling outages simultaneously; instead, equity is achieved through staggered timing across different groups, making the impact more distributed and fair.
Solution Approach 2:
The patent implements local quality by customizing peak demand schedules for different premises groups based on their specific characteristics. This ensures that each premises receives treatment appropriate to its needs, improving equity by avoiding uniform treatment that may favor some premises over others during peak periods.
3Reliability
If peak resource consumption levels are enforced, then system reliability is improved, but productivity deteriorates
Solution Approach 1:
The patent applies preliminary action by implementing peak demand schedules and resource management strategies in advance before critical peak periods occur. This allows premises to prepare for reduced availability, adjust their operations, and optimize resource usage patterns beforehand, minimizing the impact on productivity while maintaining system reliability during actual peak events.
Data Source
AI summary
A computer-implemented method includes assigning, by a peak management system, a peak resource management schedule to a first premises and a second premises within a resource distribution network. The peak resource management schedule includes a first peak consumption period and a first limited resource consumption period for the first premises and a second peak consumption period and a second limited resource consumption period for the second premises, where the first peak consumption period and the second peak consumption period are different. The method also includes transmitting, by the peak management system, a peak resource management signal to the first premises and the second premises. The peak resource management signal includes instructions to commence execution of the peak resource management schedule at the first premises and the second premises.


