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Zhenyu Zhuo
Researcher at Tsinghua University
Publications - 12
Citations - 380
Zhenyu Zhuo is an academic researcher from Tsinghua University. The author has contributed to research in topics: Electric power system & Renewable energy. The author has an hindex of 3, co-authored 7 publications receiving 180 citations.
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Mixed-integer linear programming-based optimal configuration planning for energy hub: Starting from scratch
TL;DR: In this article, the authors proposed a novel optimal planning method for a community level MES that jointly determines the optimal generation, conversion and delivery of electricity, heat, cooling, and other services.
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Transmission Expansion Planning Test System for AC/DC Hybrid Grid With High Variable Renewable Energy Penetration
Zhenyu Zhuo,Ning Zhang,Jingwei Yang,Chongqing Kang,Charles Smith,Mark O'Malley,Benjamin Kroposki +6 more
TL;DR: A 38-bus test system named the HRP-38 system dedicated to TEP, which considers high VRE penetration of more than 30% energy share, which will be an important feature in many power systems in the future.
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Cost increase in the electricity supply to achieve carbon neutrality in China
TL;DR: In this article , the authors developed a power system expansion model to comprehensively evaluate changes in the electricity supply costs over a 30-year transition to carbon neutrality, and estimated that approximately 5.8 TW of wind and solar photovoltaic capacity would be required to achieve carbon neutrality in the power system by 2050.
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Incorporating Massive Scenarios in Transmission Expansion Planning With High Renewable Energy Penetration
TL;DR: A TEP model to effectively consider massive scenarios without reduction is proposed that uses Benders decomposition to divide the TEP problem into an investment master problem and many operation subproblems and multiple parametric linear programming (MPLP) is applied to cluster the operation sub problems in each iteration.
An Efficient Power System Planning Model Considering Year-Round Hourly Operation Simulation
TL;DR: Wang et al. as discussed by the authors presented an efficient source-grid-storage co-planning model, which incorporates a year-round hourly operation simulation to improve the computation efficiency of the planning model, from the temporal scale, a selfadaptive compact panorama time series (CPTS) model is applied, which greatly reduces the number of variables related to short-term decisions.