D
Di Wu
Researcher at Hong Kong University of Science and Technology
Publications - 232
Citations - 6471
Di Wu is an academic researcher from Hong Kong University of Science and Technology. The author has contributed to research in topics: Denitrification & Sewage treatment. The author has an hindex of 34, co-authored 212 publications receiving 4064 citations. Previous affiliations of Di Wu include Pacific Northwest National Laboratory & Forschungszentrum Jülich.
Papers
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A survey of distributed optimization
Tao Yang,Xinlei Yi,Junfeng Wu,Ye Yuan,Di Wu,Ziyang Meng,Yiguang Hong,Hong Wang,Zongli Lin,Karl Henrik Johansson +9 more
TL;DR: This survey paper aims to offer a detailed overview of existing distributed optimization algorithms and their applications in power systems, and focuses on the application of distributed optimization in the optimal coordination of distributed energy resources.
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Load Scheduling and Dispatch for Aggregators of Plug-In Electric Vehicles
TL;DR: A minimum-cost load scheduling algorithm is designed, which determines the purchase of energy in the day-ahead market based on the forecast electricity price and PEV power demands, and a dynamic dispatch algorithm is developed, used for distributing the purchased energy to PEVs on the operating day.
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Electric Energy and Power Consumption by Light-Duty Plug-In Electric Vehicles
TL;DR: In this article, the authors used the travel patterns of light-duty vehicles in the U.S. obtained from the 2009 National Household Travel Survey to estimate the electric energy and power consumption of plug-in electric vehicles.
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A Distributed Algorithm for Economic Dispatch Over Time-Varying Directed Networks With Delays
TL;DR: An algorithm based on the gradient push-sum method is proposed to solve the EDP in a distributed manner over communication networks potentially with time-varying topologies and communication delays.
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Optimal Coordination of Building Loads and Energy Storage for Power Grid and End User Services
TL;DR: This paper presents a generalized battery model (GBM) to describe the flexibility of building loads and energy storage, and develops optimal coordination algorithms to provide power grid and end user services such as energy arbitrage, frequency regulation, and spinning reserve.