Managing Server Power Distribution Prediction
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Solution Overview
Problem
In systems that perform power transfer between a power network and vehicles, the power supply capacity of vehicles is not fully utilized if the power demand at movement destinations is low, even when there are sufficient power supplies, as existing technologies fail to effectively manage power distribution based on predicted demand at these destinations.
Innovation Solution
A power transfer system that includes a managing server capable of predicting future movement destinations and power demand, allowing vehicles to be preferentially charged or discharged to match regional power supply and demand, thereby optimizing power distribution and utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If power supply/demand management is performed based on current power demand only, then power supply/demand can be balanced at current locations, but power supply capacity of vehicles cannot be fully utilized when movement to high-demand regions is predicted
Solution Approach 1:
The system performs preliminary actions by predicting future movement destinations and power demand patterns before vehicles arrive at high-demand regions. The management server proactively adjusts charge/discharge commands based on predicted scenarios, ensuring vehicles are ready to supply power when needed at movement destinations, thereby fully utilizing power supply capacity without waiting for demand to manifest at current locations.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring actual power demand at movement destinations and comparing it with predicted demand. The management server uses this feedback to refine future predictions and adjust charge/discharge commands dynamically, creating a closed-loop system that improves power supply capacity utilization while adapting to real-world variations.
2Reliability
If vehicles are charged based on current power availability, then power supply/demand can be balanced now, but power may be unavailable when needed at movement destinations
Solution Approach 1:
The system performs preliminary charging actions by predicting future power demand at movement destinations before vehicles arrive. The management server issues charge commands in advance based on predicted demand patterns, ensuring vehicles have sufficient power supply reliability when they reach high-demand regions, rather than waiting until the last moment when power may be unavailable.
Solution Approach 2:
The system uses feedback from actual power consumption patterns and movement data to continuously refine predictions of future power demand. This feedback mechanism allows the management server to adjust charging strategies dynamically, improving both power supply reliability at destinations and energy efficiency by charging vehicles optimally based on learned patterns rather than ad-hoc decisions.
3Productivity
If power transfer is performed without considering future movement destinations, then current power demand can be met, but power supply capacity is wasted when vehicles move to high-demand regions
Solution Approach 1:
The system recovers and utilizes information about future power demand by implementing feedback loops that continuously monitor actual power consumption at movement destinations. This feedback information is fed back into the prediction model, allowing the system to learn from past patterns and improve future predictions, thereby preventing waste of power supply capacity and improving overall power distribution efficiency.
Solution Approach 2:
The system performs preliminary power transfer actions by predicting future movement destinations and power demand patterns before vehicles arrive at high-demand regions. The management server proactively adjusts charge/discharge commands based on predicted scenarios, ensuring power supply capacity is fully utilized at future locations rather than being wasted due to lack of information about upcoming demand.
Data Source
AI summary
A control apparatus includes: an acquiring unit that acquires information indicating: power demand in a first power network that supplies power in a first region including a future movement destination of a first vehicle; and power demand in a second power network that supplies power in a second region including a future movement destination of a second vehicle; and a control unit that makes energy accumulated in or released from a driving power source provided to the first vehicle preferentially over a driving power source provided to the second vehicle, based on the power demand in the first power network, and the power demand in the second power network.