Yuping Lu
Southeast University
31 Papers
39 Citations
Yuping Lu is an academic researcher from Southeast University. The author has contributed to research in topics: Computer science & Renewable energy. The author has an hindex of 8, co-authored 21 publications.
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Papers
Optimal Planning for Electricity-Hydrogen Integrated Energy System Considering Power to Hydrogen and Heat and Seasonal Storage
TL;DR: A reasonable power to heat and hydrogen (P2HH) model with startup/shutdown constraints and a novel model of seasonal hydrogen storage (SHS) are proposed for the first time, using a combination of stochastic and robust optimization approaches to address the generation-load uncertainties.
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Bi-level mixed-integer planning for electricity-hydrogen integrated energy system considering levelized cost of hydrogen
TL;DR: A bi-level mixed-integer planning model is proposed to highlight the role of hydrogen in renewable energy penetration and seasonal complementarity and can achieve the dual goals of optimizing the equipment configuration and reducing the supply price of hydrogen by rationally using resources such as wind, solar, and geothermal energy in the planning stage.
134
Optimal design and operation of multi-energy system with load aggregator considering nodal energy prices
TL;DR: Three cases are presented to demonstrate the effectiveness of the planning and design method and to show the influence of the nodal energy prices on the IDR program as well as the penetration of solar energy based on a reconstructive MES in northern China.
94
Accurate Modeling of a Profit-Driven Power to Hydrogen and Methane Plant Toward Strategic Bidding Within Multi-Type Markets
TL;DR: A bi-level strategic bidding model of a profit-driven P2HM plant from both market and technology perspectives is developed, and the strong-duality theory is applied to linearize the nonlinear terms of the model.
58
Synchronously Decentralized Adaptive Robust Planning Method for Multi-Stakeholder Integrated Energy Systems
TL;DR: A synchronously decentralized adaptive robust programming (SDARP) model for MSIESs based on the analytical target cascading (ATC) algorithm is proposed, aiming at minimizing the annual investment and operation costs and fully taking into account the interactive heating/cooling power transmitted by the district heating/ Cooling network.
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