Application of Trains Operation Strategy in Energy Saving Research of Taiwan Railway Rolling Stock

• Main Authors: SUNG,HUNG-KANG, 宋鴻康
• Other Authors: Huang,Sy-Ruen
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/63qd39

博士 === 逢甲大學 === 電機與通訊工程博士學位學程 === 107 === In view of the global energy crisis and the increase of environmental protection, each country all have the issue of energy conservation and carbon reduction. Taiwan is no exception due to the suspension of the construction of the No. 4 nuclear power plant, the Shen-Ao and Tai-Chung coal-fired power plants, and electric power shortage will be gradually rising. Finding source and reduction have become important policies of the government. Rail transportation undoubtedly is great option for mass transportation. However, Rolling Stock is the huge energy-consuming. The electrical railways include high-speed rail, convention Railway, and metro. Reduction or regenerative brake is the main direction of this research. The rapid and mass transportation of intercity has always been an important transportation for domestic transportation. Taiwan Railways Administration (TRA) first electrified in 1978. Nowadays TRA increased number of trains operation and huge energy consumption as well. This study uses Social Spider Algorithm establishes the energy use formula for the train operation of Taiwan Railway, and calculates the overall energy consumption and resistance parameters for the energy use and resistance of the train State, different energy usage analysis for different train performance and route status input, because the energy consumption of the new generation of smart trains is significantly different from that of the old type electric Rolling Stock. Therefore, train operating conditions and energy consumption patterns can be used to distinguish them into three states for analysis, which are acceleration, costs and deceleration, and analyze the energy of the whole process because of different train operation modes and railway ramp parameters. Changes, energy consumption will be affected by many factors, in order to reduce energy consumption, the optimize train energy consumption formula algorithm, and then optimize the results with fast calculations, and then such results put into the train propulsion soft, can reduce the excess energy consumption and error caused by human operation, and can reach the destination on time. By using the energy consumption formula and train parameters, not only can the reduced energy, but also the train can arrive in time. . This study mainly uses the "Application of Social Spider Algorithm (SSA) to Optimize Energy of Train” to simulate the predatory behavior of social spider, that is, the vibration intensity transmitted through the prey in the spider web, and then statistically grasp the most abundant food position etc. The optimize solution suitable for efficient train acceleration. At the same time, in the calculus model, the behavior pattern of random movement is added, so that the novel algorithm can have an approach for the track segment and increase the possibility of the optimal solution. In support of the feasibility of the proposed method in this study, the simulated using the TRA train and compared with the actual measured values. According to the actual measurement results, the method proposed in this study does have the application potential of the train energy-saving operation plan, and should provide a reference for the driver's operation. At the same time, this study is also compared with the teaching-learning-based optimization, Teaching-learning-based optimize (TLBO) algorithm to prove the superiority of this method, to solve the best train energy-saving operation of energy use, and also to ensure the running time of the train in order to move towards high-performance trains.