Dr. YUN LIU
'%3e%3cpath%20d='M22.1642%2019.0924C21.7317%2018.068%2021.1041%2017.1375%2020.3163%2016.3527C19.5309%2015.5656%2018.6006%2014.9381%2017.5766%2014.5048C17.5674%2014.5002%2017.5582%2014.4979%2017.5491%2014.4933C18.9774%2013.4616%2019.9059%2011.7811%2019.9059%209.88504C19.9059%206.74408%2017.3611%204.19922%2014.2201%204.19922C11.0792%204.19922%208.53429%206.74408%208.53429%209.88504C8.53429%2011.7811%209.46282%2013.4616%2010.8912%2014.4956C10.882%2014.5002%2010.8728%2014.5025%2010.8636%2014.5071C9.83652%2014.9404%208.91487%2015.5617%208.1239%2016.355C7.33685%2017.1404%206.70933%2018.0707%206.276%2019.0947C5.85031%2020.0972%205.62072%2021.172%205.59967%2022.2609C5.59905%2022.2853%205.60335%2022.3097%205.61229%2022.3325C5.62123%2022.3553%205.63465%2022.376%205.65174%2022.3935C5.66883%2022.4111%205.68926%2022.425%205.71182%2022.4345C5.73437%2022.444%205.7586%2022.4489%205.78308%2022.4489H7.15868C7.25956%2022.4489%207.3398%2022.3686%207.3421%2022.2701C7.38795%2020.5001%208.09868%2018.8425%209.35506%2017.5861C10.655%2016.2862%2012.3814%2015.5709%2014.2201%2015.5709C16.0588%2015.5709%2017.7852%2016.2862%2019.0852%2017.5861C20.3415%2018.8425%2021.0523%2020.5001%2021.0981%2022.2701C21.1004%2022.3709%2021.1807%2022.4489%2021.2815%2022.4489H22.6571C22.6816%2022.4489%2022.7058%2022.444%2022.7284%2022.4345C22.751%2022.425%2022.7714%2022.4111%2022.7885%2022.3935C22.8056%2022.376%2022.819%2022.3553%2022.8279%2022.3325C22.8369%2022.3097%2022.8412%2022.2853%2022.8406%2022.2609C22.8176%2021.165%2022.5907%2020.0989%2022.1642%2019.0924ZM14.2201%2013.8284C13.1678%2013.8284%2012.1773%2013.418%2011.4322%2012.6729C10.6871%2011.9278%2010.2767%2010.9374%2010.2767%209.88504C10.2767%208.83271%2010.6871%207.84227%2011.4322%207.09715C12.1773%206.35204%2013.1678%205.94165%2014.2201%205.94165C15.2724%205.94165%2016.2629%206.35204%2017.008%207.09715C17.7531%207.84227%2018.1635%208.83271%2018.1635%209.88504C18.1635%2010.9374%2017.7531%2011.9278%2017.008%2012.6729C16.2629%2013.418%2015.2724%2013.8284%2014.2201%2013.8284Z'%20fill='%238590A2'/%3e%3c/g%3e%3c/svg%3e)
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10Years (2017-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 September 2018 in Resources, Conservation and Recycling
Journal Article
YUN LIUDLDuy Linh
Duy Linh
LSLi Shui
Li Shui
XPXiongbin Peng
Xiongbin Peng
AGAkhil Garg
Akhil Garg
JSJayne Sandoval
Jayne Sandoval
+2
4 December 2017 in IEEE Transactions on Sustainable Energy
Journal Article
YUN LIUYLYuanzheng Li
Yuanzheng LiHGHoay Beng Gooi
Hoay Beng GooiYJYe Jian
Ye JianHXHuanhai Xin
Huanhai XinJPJ. F. Pan
J. F. Pan +1
In this paper, a distributed robust energy management scheme for multiple interconnected microgrids (MGs) is developed. It aims to optimize the total operational cost of the MGs through energy trading with neighboring MGs and the main grid in the real-time energy market. Various uncertainties including renewable generation, load consumption, and buying/selling prices of the main grid are handled using an adjustable robust optimization technique. To keep consistent with the distributed nature of the multiple MGs, we propose a distributed adjustable robust optimal scheduling algorithm (DAROSA) to solve the energy management problem. Via distributed communication of non-critical information with the neighboring MGs, each MG energy management system optimizes its own energy selling price and operation schedule to minimize its worst-case operational cost under a certain robustness level. Robust optimal scheduling and fair energy trading can be collectively achieved. A case study of a 4-MG system is conducted to validate the effectiveness of the proposed approach.
1 March 2021 in Energy and AI
Journal Article
YUN LIUOEOladapo Christopher Esan
Oladapo Christopher Esan
ZPZhefei Pan
Zhefei Pan
LALiang An
Liang An1 January 2018 in IEEE Transactions on Industrial Informatics
Journal Article
As distributed generators (DGs) rapidly integrate into current power systems, new methods to effectively manage them need to be developed. Toward this end, a large number of geographically dispersed DGs are generally aggregated into a virtual power plant (VPP). Then, distributed control schemes are used to achieve optimal economic dispatch of the VPP by maintaining equal incremental costs of DGs while the aggregated DG power matches the dispatch command. Often, one of the drawbacks of distributed schemes is that they are susceptible to communication failures and cyber-attacks (i.e., non-colluding and colluding attacks). In order to mitigate this problem, an attack-robust distributed economic dispatch strategy is proposed where we assume that every DG can monitor the behavior of its in-neighbors and has the network connectivity information. The proposed strategy detects the mis-behaving DGs residing in the network and gradually isolates them so that the remaining well-behaving DGs could still accomplish the economic dispatch. The effectiveness of the proposed strategy is illustrated through simulations on the IEEE 123-bus test system.
5 February 2024 in EES Catalysis
Journal Article
KZKouer Zhang
Kouer Zhang
YUN LIUZPZhefei Pan
Zhefei Pan
QXQing Xia
Qing Xia
XHXiaoyu Huo
Xiaoyu Huo
LALiang An
Liang An +2
This review provides an overview of Cu-based catalysts for electrocatalytic nitrate reduction to ammonia. It encompasses materials, reaction mechanisms, analysis methods and insights into the practical applications and economic prospects.
12 January 2018 in IEEE Transactions on Industrial Informatics
Journal Article
YLYuanzheng Li
Yuanzheng LiTZTianyang Zhao
Tianyang Zhao
Ping WangHGHoay Beng Gooi
Hoay Beng GooiLWLei Wu
Lei WuJYJian Ye
Jian Ye +1
Microgrid (MG) represents one of major drives of adopting Internet of Things for smart cities, as it effectively integrates various distributed energy resources. Indeed, MGs can be connected with each other and presented as a system of multimicrogrid (MMG). This paper proposes the optimal operation of MMGs by a cooperative energy and reserve scheduling model, in which energy and reserve can be cooperatively utilized among MMGs. In addition, values of Shapely are introduced to allocate economic benefits of the cooperative operation. Finally, a case study based on a system of MMGs is conducted, and simulation results verify the effectiveness of the proposed cooperative scheduling model.
About Me
Yun Liu obtained his PhD degree from The Hong Kong Polytechnic University in 2024 and currently he is a Post-Doctoral Fellow at PolyU. LIU Yun has carried out long-term research on the engineering thermophysics system for efficient conversion and intelligent regulation of renewable energy carriers, with electrochemical energy storage devices and energy storage systems as the research object, and has published 28 SCI papers (11 first/co-first authors), 1 selected cover paper. He has published 28 SCI papers (11 first/co-first authors), 1 cover paper, and more than 900 citations in Google Scholar (GS), with h-factor 14. He has authored 1 chapter of a monograph in the field of environment, and has applied for 5 national invention patents. He has participated in the Outstanding Young Scientist Programme of the National Natural Science Foundation of China (Hong Kong and Macao), the Early Career Scheme of the Hong Kong Research Grants Council, and the General Research Fund, and has given oral presentations/poster presentations at international conferences. The research results have been positively evaluated and recognised by the international academic community, and have promoted the development of related disciplines.