Power Manager Predicting Phase Load Imbalance
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Solution Overview
Problem
Existing power distribution networks face inefficiencies in balancing power loads across phases, leading to potential overload and inefficiencies, as current methods require power to be applied and distributed before unbalanced conditions can be detected.
Innovation Solution
Implementing a power manager system that predicts unbalanced power occurrences by receiving vital product data from computing devices and controlling the application of power before distribution, ensuring balanced load across phases by associating devices with optimal phases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If power is applied and distributed throughout the power distribution network before detection, then the actual load conditions can be measured, but power overload is incurred and efficiency is reduced
Solution Approach 1:
The system performs preliminary action by receiving vital product data from computing devices and predicting phase load distribution before power is actually applied to the network. The power manager calculates which phase each device should connect to based on current network conditions, pre-configuring the power distribution to prevent overload before it occurs. This allows load detection and balancing to happen in advance, eliminating the need to apply power just to detect load conditions.
2Measurement precision
If power is applied throughout the network to detect unbalanced conditions, then accurate load measurement is achieved, but power distribution efficiency is reduced
Solution Approach 1:
The computing devices themselves provide the necessary information by reporting their vital product data to the power manager. Each device communicates its power requirements and characteristics, allowing the system to self-determine the optimal phase allocation without needing to apply power for detection purposes. This self-service approach enables efficient power distribution planning based on declared device requirements rather than measured consumption.
3Ease of operation
If traditional power distribution methods are used, then power can be applied to all devices, but unbalanced power distribution and phase overload occur
Solution Approach 1:
The power manager implements feedback by continuously monitoring the power distribution network state and adjusting phase allocations based on predicted load conditions. The system receives vital product data from devices, calculates optimal phase assignments, and dynamically configures power distribution to maintain balance. This closed-loop feedback mechanism ensures that power distribution remains balanced and reliable while automatically adapting to changing network conditions without manual intervention.
Data Source
AI summary
Systems and methods for power balancing in power distribution networks are disclosed herein. According to an aspect, a method may be implemented at a power manager in a power distribution network including multiple computing devices. The method may include receiving vital product data associated with the computing devices. The method may also include predicting, based on the vital product data, occurrences of unbalanced power in the power distribution system upon distribution of power to the computing devices. Further, the method may include controlling application of power to the computing devices, prior to distributing power in the power distribution system, based on the predicted occurrences such that power distribution to the power distribution system is substantially balanced.