Power Sharing Controller Dynamic Budget Allocation
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Solution Overview
Problem
Existing power sharing systems for Front End Power (FEP) supplies across multiple systems face challenges in dynamically adjusting power allocations and redistributing power budgets in response to changes in input power or load, leading to inefficient load shedding and potential system overloads.
Innovation Solution
A power sharing system with a controller that determines and distributes power budgets among member power supply modules based on input power, load power, location, and user-assigned priorities, allowing for automatic shifting of power allocations and dynamic load-balancing to maximize power usage and minimize load shedding to lower-priority loads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If power sharing systems dynamically adjust power allocations in response to changes in input power or load, then power usage efficiency is improved, but system complexity increases
Solution Approach 1:
The power sharing system implements dynamic power allocation by continuously monitoring input power changes and load conditions, then automatically adjusting power budgets distributed to individual switches. The controller modifies power allocations in real-time based on current system state, enabling adaptive power management that responds to changing conditions without manual intervention.
Solution Approach 2:
The system employs feedback mechanisms where the controller receives information about input power availability and load power consumption from various switches, processes this information, and generates appropriate power budget adjustments. This closed-loop control enables the system to maintain optimal power distribution by continuously comparing actual power usage against available power and making corrective allocations.
2Reliability
If power budgets are redistributed in response to power supply loss or failure, then system reliability is improved, but response time increases
Solution Approach 1:
The system performs preliminary power budget calculations and prepares redistribution strategies in advance of actual power failures. By pre-configuring power sharing capabilities and establishing default allocation protocols, the system can rapidly respond to power supply losses without requiring complex real-time decision-making during failure events, thus reducing response time while maintaining reliability.
Solution Approach 2:
The power sharing system maintains reserved power capacity and buffer allocations that can be quickly deployed when power supply issues occur. This cushioning approach ensures that when failures happen, pre-positioned power reserves are already available to prevent immediate disruptions, allowing the system to maintain reliability while minimizing the time required for power budget redistribution.
3Productivity
If load shedding is minimized through dynamic power allocation, then power distribution efficiency is improved, but control complexity increases
Solution Approach 1:
The system applies differentiated power allocation strategies to different switches and loads based on their specific requirements and priorities. Rather than using uniform power distribution rules, the controller implements location-specific and load-specific power budgets that optimize power utilization for each segment of the system. This localized approach improves overall power distribution efficiency by matching power supply characteristics to actual local demands.
Solution Approach 2:
The power sharing controller dynamically modifies power budget parameters including voltage levels, current allocations, and power distribution ratios based on real-time system conditions. By changing these electrical parameters adaptively in response to load variations and power availability, the system optimizes power distribution efficiency while managing control complexity through parameter-based adjustments rather than structural changes.
Data Source
AI summary
Disclosed in an example embodiment herein is a technique for performing discovery and power budgeting for a power sharing group comprising a plurality of power supply modules configured for sharing power. Data is collected to determine members of the power sharing group, input power and load power for members of the power sharing group. A power budget is determined for members of the power sharing group and the power budget is distributed to members of the power sharing group. Load shedding inputs are calculated in the event that load power exceeds the capacity of the power sharing group.