Train Timetable Adjustment for Regenerative Power Utilization
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Solution Overview
Problem
Existing technologies struggle to effectively utilize regenerative electric power generated by trains due to the difficulty in adjusting train departure and arrival times to match low usage rates, making it impractical to harness this energy efficiently.
Innovation Solution
A train diagram change assistance device and method that selects and adjusts train operation plans to optimize the use of regenerative electric power by changing arrival and departure times within specific time ranges where the energy usage is below a threshold, ensuring minimal impact on other trains.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If train departure and arrival times are significantly changed to utilize regenerative electric power, then the usage rate of regenerative electric power improves, but the operational complexity and difficulty of implementation increases
Solution Approach 1:
The system changes operational parameters (train departure and arrival times) within limited ranges rather than significantly. The candidate generation unit creates multiple candidate schedules by adjusting times within predetermined ranges, and the selection unit chooses the optimal candidate. This approach achieves energy utilization improvement while avoiding excessive operational complexity.
Solution Approach 2:
The system dynamically generates multiple candidate train schedules based on current operational data and regenerative power patterns. Instead of using a fixed schedule, the system adapts and adjusts times dynamically within acceptable ranges to optimize energy recovery, making the solution flexible yet practically implementable.
2Loss of energy
If train schedule is adjusted to match low usage rate periods, then regenerative electric power utilization improves, but the reliability of train operation decreases
Solution Approach 1:
The system applies partial adjustments to train schedules rather than complete redesigns. By making minor to moderate changes within predetermined ranges and generating multiple candidate schedules, the system achieves sufficient energy recovery without compromising operational reliability. The selection unit picks the candidate that balances energy utilization with operational stability.
Solution Approach 2:
The system uses feedback from historical regenerative power data and operational patterns to guide schedule adjustments. The candidate generation unit references past performance to create realistic candidates, and the selection unit uses this feedback to choose schedules that both recover energy and maintain reliability.
Data Source
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AI summary
The present invention provides a train diagram change assistance device that can more reliably utilize regenerative electric power. An improvement candidate calculation unit (202) uses train diagram information (3) and regenerative electric energy information (6) indicating a history of variation in regenerative electric energy used during traveling of each train related to the train diagram information (3), and selects, as an improvement candidate, each of combinations of mutually different trains in which the difference between the arrival time and departure time is equal to or less than a certain value, in a time range in which the usage rate of regenerative electric energy is below standard. A train diagram changing unit (203) generates changed diagram information in which at least one of the arrival and departure times of the trains included in the improvement candidates for the train diagram information (3) is changed.