- 著者
- Senjie Jiang Qingyuan Wang
- 出版者
- The Institute of Electronics, Information and Communication Engineers
- 雑誌
- IEICE Electronics Express (ISSN:13492543)
- 巻号頁・発行日
- vol.20, no.12, pp.20230146, 2023-06-25 (Released:2023-06-25)
- 参考文献数
- 30
A novel quasi-planar five-port E-plane waveguide power divider with new computer-aided design method is proposed, which lower down the fabrication costs and expand application of waveguide components in the higher frequency ranges, integrations and massive die-casting productions of microwave circuits. A sample, planar five-port E-plane power divider operating between 3.1GHz and 3.6GHz, is designed from an initial concept of the well-known branch-line waveguide coupler. The sample circuit is fabricated and measured. Tested results show that the input reflection is lower than -25dB, insertion loss lower than 0.1dB. The amplitude difference between two output ports is smaller than 0.04dB, and the phase difference between the two output ports smaller than 0.3 degree.
- 著者
- Haoran GENG Masafumi MIYATAKE Qingyuan WANG Pengfei SUN Bo JIN
- 出版者
- The Japan Society of Mechanical Engineers
- 雑誌
- Mechanical Engineering Journal (ISSN:21879745)
- 巻号頁・発行日
- pp.22-00360, (Released:2023-05-23)
- 参考文献数
- 16
The timetable of urban rail greatly affects its daily energy consumption. To improve the utilization of renewable energy between trains using timetabling has become an effective way to reduce energy consumption. Previous studies ignore or simplify the modelling of traction power supply network, which failed to accurately describe the flow of energy between trains through the power network. This paper proposed an optimisation method of energy efficiency timetabling considering the power flow of traction power supply network. First, an urban rail transit DC traction network model is established, and the current-vector iterative method is used to characterize the energy consumption. Then, a train timetable optimisation model is proposed to minimize the total energy consumption of the traction network system by adjusting the dwell time and section running time. The genetic algorithm is used to solve the optimisation problem. Finally, simulation result shows that the proposed method can accurately characterize the energy flow and effectively reduce the total energy consumption of the urban rail transit.