Scheme and strategy design for wireless charging of wireless sensor network in substation
编号:271 访问权限:公开 更新:2020-10-30 17:37:59 浏览:382次 张贴报告

报告开始:2020年11月04日 16:25(Asia/Shanghai)

报告时间:5min

所在会场:[G] Poster session [G6] Poster Session 8

摘要
Aiming at the need of online intelligent perception in substations, this paper designs and researches wireless sensor networks in substations. Apply the magnetic resonance wireless energy transmission technology, select the LCL-S circuit topology according to the circuit characteristics, design its charging scheme for wireless sensor nodes, and explain its applicability and advantages. Then, according to the characteristics of the substation, a wireless sensor network deployment scheme for the substation is proposed. Aiming at this scheme, the ant colony algorithm is used to design the wireless charging strategy of sensor nodes. The results show that the charge planning strategy based on the ant colony algorithm can ensure the overall and continuous operation of the substation wireless sensor network, and effectively reduce the energy consumption cost of the entire wireless sensor network.
关键词
Substation,wireless sensor network,magnetic resonance wireless energy transmission,ant colony algorithm,optimal scheduling
报告人
Jinling Wu
Huazhong University of Science and Technology

稿件作者
Jinling Wu Huazhong University of Science and Technology
Kai Liu Huazhong University of Science and Technology
Jie Tian Shenzhen Power Supply Co.,Ltd.
Yan Li Shenzhen Power Supply Co.,Ltd.
Weixin Zhang Huazhong University of Science and Technology
Ang Li Huazhong University of Science and Technology
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重要日期
  • 会议日期

    11月02日

    2020

    11月04日

    2020

  • 10月27日 2020

    初稿截稿日期

  • 11月03日 2020

    报告提交截止日期

  • 11月04日 2020

    注册截止日期

  • 11月17日 2020

    终稿截稿日期

主办单位
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
承办单位
Huazhong University of Science and Technology
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