Power Budget Reallocation for Priority-Based Electrical Loads
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Solution Overview
Problem
Facilities face challenges in efficiently managing electrical power distribution to optimize costs and maintain operational efficiency, particularly in balancing power consumption across different groups of electrical devices with varying priorities and budgets.
Innovation Solution
A power management system that allocates electrical power based on group priorities and budgets, monitors consumption, and re-allocates power from lower-priority groups to higher-priority groups when necessary, while shutting off non-essential devices to prevent budget overages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If electrical power is allocated uniformly to all device groups without prioritization, then operational simplicity is maintained, but critical devices may suffer power shortages during budget constraints
Solution Approach 1:
The system segments electrical devices into different priority groups (critical, important, optional) and allocates power budgets separately to each group. This segmentation enables differentiated power management where critical devices receive guaranteed power allocation while optional devices can be curtailed during budget constraints, thereby improving reliability for critical devices without requiring complete system redesign.
Solution Approach 2:
The system performs preliminary power budget allocation based on device priority classifications before actual power consumption occurs. By pre-assigning power budgets to different priority groups and monitoring cumulative consumption, the system proactively prevents power shortages for critical devices rather than reacting after problems occur, thus improving reliability while maintaining manageable complexity through automated rules.
2Productivity
If power is continuously monitored and re-allocated in real-time, then power budget control is improved, but system complexity and computational overhead increase
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring cumulative power consumption across different priority groups and comparing it against allocated budgets. When the total consumption approaches the overall power budget threshold, the system automatically triggers re-allocation rules that curtail power to lower-priority groups. This feedback-driven approach improves power budget control efficiency while keeping complexity manageable through rule-based automated responses rather than complex optimization algorithms.
Solution Approach 2:
The power allocation system dynamically adjusts power distribution based on real-time consumption patterns and budget availability. Power budgets for different priority groups are not fixed but can be re-allocated in real-time through automated rules that respond to consumption thresholds. This dynamic behavior enables efficient power budget control while maintaining simplicity through pre-defined re-allocation rules rather than complex real-time optimization.
3Productivity
If more electrical devices are deployed in the facility, then operational capacity is enhanced, but total power consumption increases and may exceed budget constraints
Solution Approach 1:
The system applies local quality by assigning different power allocation characteristics to different device groups based on their operational importance. Critical devices receive guaranteed power allocation with high priority, while optional devices receive allocation only when power budget permits. This enables the facility to deploy more devices overall while maintaining budget control, as power is selectively allocated to subsets of devices based on local needs rather than uniform distribution.
Solution Approach 2:
The system changes the power allocation parameters dynamically based on facility needs and budget constraints. By adjusting power budgets for different priority groups and modifying allocation rules in response to consumption patterns, the system enables flexible deployment of electrical devices. Facilities can add devices to various priority groups and the system automatically adjusts total power consumption through parameter changes in allocation percentages and thresholds, thereby enhancing operational capacity while controlling overall power usage.
Data Source
AI summary
A power management system obtains first data regarding several groups of electrical devices, including a budget and a respective priority metric associated with each of the groups. The system allots a respective amount of electrical power for use by each of the groups based on the first data. Further, the system obtains second data regarding the groups, including a respective amount of electrical power consumed by each of the groups. The system determines that a first group has consumed a first amount of electrical power that is greater than or equal to a second amount of electrical power that had been allotted for use by the first group. In response, the system re-allots at least a portion of a third amount of electrical power that had been allotted for use by a second group for use by the first group instead.