Railway Energy Optimization via Global Control Parameters
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Solution Overview
Problem
Conventional methods for optimizing energy consumption in railway systems focus on individual train efficiency and do not consider global optimization, leading to suboptimal total energy consumption and potential safety issues due to power surges from unutilized regenerative power.
Innovation Solution
The optimization of control parameters for railway systems is achieved by reformulating discontinuity constraints as complementarity constraints, using non-linear optimization methods and iterative relaxation techniques to minimize total grid power supply while ensuring safety and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If regenerative braking is used to recover energy, then energy efficiency of individual trains is improved, but total energy consumption of the railway system is not minimized due to lack of global optimization
Solution Approach 1:
The patent merges individual train energy management into a unified railway system-wide optimization framework. By coordinating control parameters across multiple trains and substations globally, the system maximizes regenerative energy utilization and minimizes total energy consumption, resolving the limitation of isolated individual train optimization.
Solution Approach 2:
The patent implements dynamic optimization of control parameters (acceleration, braking, voltage) based on real-time system state. This dynamic approach allows the system to adapt to changing conditions and coordinate energy flow across the railway network, achieving global optimization rather than static individual train efficiency.
2Power
If high voltage is used during regenerative braking, then power efficiency of individual trains is improved, but total energy recovery decreases
Solution Approach 1:
The patent optimizes voltage as a controllable parameter during regenerative braking. By dynamically adjusting voltage levels based on system conditions and coordination with other trains, the system achieves optimal balance between power efficiency and total energy recovery, rather than operating at fixed high voltage.
Solution Approach 2:
The patent implements system-wide feedback mechanisms where information about regenerative power availability and consumption is shared across the railway network. This enables coordinated control parameter optimization that considers the impact of voltage and braking decisions on overall system energy recovery.
3Loss of energy
If conventional individual train optimization methods are used, then energy efficiency of each train is improved, but safety issues arise due to unutilized regenerative power causing power surges
Solution Approach 1:
The patent merges isolated train energy management into a coordinated system-wide approach. By pooling regenerative power resources across multiple trains and matching them with system-wide consumption needs, the system prevents unutilized regenerative power from causing dangerous voltage surges, thereby improving safety while maintaining efficiency.
4Loss of energy
If global optimization of the railway system is implemented, then total energy consumption is minimized, but computational complexity and solution accuracy are affected by discontinuous constraints
Solution Approach 1:
The patent introduces a centralized optimization system that acts as an intermediary between individual trains and the grid. This mediator coordinates control parameters globally, handling the computational complexity of solving discontinuous optimization problems and providing accurate solutions that minimize total energy consumption while ensuring system safety.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach effectively reduces total energy consumption, enhances safety by managing power surges, and improves the accuracy and efficiency of energy management in railway systems by dynamically adjusting control parameters based on real-time conditions.
Implementation Method 1
A train is accelerated by a traction motor
Implementation Method 2
power, generated by regenerative braking, decreases with an increase of the voltage at the braking train
Data Source
AI summary
A method optimizes energy consumption in a railway system including a set of trains and a set of substations connected to a grid. The method optimizes control parameters controlling at least part of the energy consumption of the railway system to produce optimized control parameters minimizing a total power provided by the grid to satisfy a power demand of the railway system. The optimizing is subject to constraints on operations of the railway system, which include as complementarity constraint. Next, the method generates a command to control the energy consumption of the railway system based on the optimized control parameters.