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PRODID:-//Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系 - ECPv6.15.20//NONSGML v1.0//EN
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X-ORIGINAL-URL:https://ece.hku.hk
X-WR-CALDESC:Events for Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
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TZID:Asia/Hong_Kong
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TZOFFSETFROM:+0800
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DTSTART:20250101T000000
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DTSTART;TZID=Asia/Hong_Kong:20260206T140000
DTEND;TZID=Asia/Hong_Kong:20260206T150000
DTSTAMP:20260511T114243
CREATED:20260129T080556Z
LAST-MODIFIED:20260129T080556Z
UID:114719-1770386400-1770390000@ece.hku.hk
SUMMARY:RPG Seminar – A Hierarchical Predictive Control Approach for Wireless Electric Vehicle Energy Network with Integrated Microgrids Incorporating Degradation Costs
DESCRIPTION:Zoom Link:\nhttps://hku.zoom.us/j/2597624634?omn=91226274349 \nAbstract\nIntegrating the wireless electric vehicle energy network with microgrids benefits vehicle owners and grid operators. Yet\, economical and reliable operations for such combinations under renewable energy uncertainties remain examined. To address this\, achieving cost-effective and reliable performance\, a novel hierarchical predictive control approach is utilized. Its core innovation schedules optimal power dispatches for integrated microgrids using different time frames with upper-level control minimizing energy costs and battery energy storage systems’ degradation costs\, whereas lower-level control additionally lowers degradation costs. Moreover\, the approach inherently enhances system reliability by minimizing power fluctuations using control references from upper-level control and state variables feedback from lower-level control under renewable energy uncertainties. The unique cross-time-frame integration of this approach enables modeling and incorporating degradation costs to adapt costs associated with longer time frames into optimal power dispatches in shorter time frames\, reflecting the unique features of hybrid energy storage systems. Comparative studies reveal that various energy storage systems can be employed at different hierarchical control levels for tailored power distribution objectives. Effectiveness of the utilized approach is confirmed by comparing it with control benchmarks through its reduction of energy costs\, degradation costs\, and expected energy not served. \n  \nSpeaker\nMr. Ye Duan\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nBiography of the Speaker\nYe DUAN received the B.Eng. degree in mechanical engineering and automation from Chongqing University\, Chongqing\, China\, and an M.Sc. degree in mechanical engineering and applied mechanics from The University of Pennsylvania\, Philadelphia\, USA\, in 2020 and 2022\, respectively. He is currently a PhD candidate in the Department of Electrical and Electronic Engineering at the University of Hong Kong. His main research interests include smart charging for electric vehicles\, energy management and optimization of microgrids\, and wireless power transfer. \nOrganiser\nProf. Yunhe Hou\nDepartment of Electrical and Electronic Engineering\, The University of Hong Kong \nAll are welcome.
URL:https://ece.hku.hk/events/20260206/
LOCATION:Online via Zoom
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20260206T150000
DTEND;TZID=Asia/Hong_Kong:20260206T180000
DTSTAMP:20260511T114243
CREATED:20260128T021118Z
LAST-MODIFIED:20260128T021118Z
UID:114696-1770390000-1770400800@ece.hku.hk
SUMMARY:Symposium on AI for Social Good: Understanding Energy and Neuro Complex Systems through AI
DESCRIPTION:All EEE MSc students are welcome!
URL:https://ece.hku.hk/events/20260206-1/
LOCATION:Room 601\, 6/F\, MSc Student Commons\, Pacific Plaza\, 410 Des Voeux Road West
CATEGORIES:Highlights,Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2026/01/345435.jpg
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