NDLI: Intelligent scheduling method for energy saving operation of multi-train based on genetic algorithm and regenerative kinetic energy

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Intelligent scheduling method for energy saving operation of multi-train based on genetic algorithm and regenerative kinetic energy

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Intelligent scheduling method for energy saving operation of multi-train based on genetic algorithm and regenerative kinetic energy

Content Provider	IET Digital Library
Author	Zou, Bingqian Gong, Lixiong Yu, Ning Chen, Jin
Abstract	An intelligent scheduling method for energy saving operation of multi-train is proposed based on genetic algorithm and regenerative kinetic energy. Considering the morning and evening peak, departure time, and total vehicle number, the energy consumption optimisation model of multidimensional state vector subspace of train is established for the train departure interval with the lowest total energy consumption. Two intelligent control models are used to formulate the time interval scheduling plan depending on whether to consider the morning and evening peak. The train operation diagram is solved by Matlab, and the validity and feasibility of the proposed algorithm are verified. This study provides an intelligent and efficient algorithm and solution for multi-train intelligent scheduling problem.
Starting Page	1550
Ending Page	1554
Page Count	5
Volume Number	2018
e-ISSN	20513305
Issue Number	Issue 16, Nov (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/joe/2018/16
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8273
Journal	The Journal of Engineering
Publisher	The Institution of Engineering and Technology
Publisher Date	2018-08-16
Access Restriction	Open
Rights License	Creative Commons Attribution-Non Commercial-No Derivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/)
Subject Keyword	Control of Electric Power System Departure Time Energy Consumption Energy Consumption Optimisation Model Energy Saving Operation Evening Peak Fuzzy Control Genetic Algorithm Intelligent Algorithm Intelligent Control Intelligent Control Model Intelligent Scheduling Method Lowest Total Energy Consumption MATLAB Morning Peak Multidimensional State Vector SubSpace Multitrain Intelligent Scheduling Problem Neurocontrol Optimisation Technique Rail Traffic Control Rail Traffic System Control Rail Transportation (energy Utilisation) Railways Regenerative Kinetic Energy Scheduling Time Interval Scheduling Plan Total Vehicle Number Train Departure Interval Train Operation Diagram Transportation
Content Type	Text
Resource Type	Article

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