Erdiwansyah – Science and Technology – Best Researcher Award

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Erdiwansyah – Science and Technology – Best Researcher Award

Dr. ErdiwansyahĀ  distinguished academic and researcher in the field Science and Technology. He has been involved in significant research projects, including the production of bio-coke from palm oil solid waste as a high-calorie and environmentally friendly fuel, a project spanning from 2022 to 2024. Additionally, he worked on developing biomass stove innovations using agricultural waste to fry chips in the Saree community of Aceh Besar.

 

šŸŒ Professional Profile

EducationsšŸ“ššŸ“ššŸ“š

He holds a PhD in Renewable Energy and Technology from Universitas Syiah Kuala in Banda Aceh, Indonesia. He also earned a Master’s degree in Mechanical Engineering from the same institution. His academic journey began with a Bachelor’s degree from the Faculty of Engineering at Universitas Serambi Mekkah, also located in Banda Aceh, Indonesia.

Research Area

Renewable Energy, Biomass, Energy Conversions, Combustion, Biodiesel, Technology Renewable Energy.

šŸ“šŸ”¬PublicationsšŸ“šŸ”¬

Mingxuan Mao – Photovoltaic Power Generation – Best Researcher Award

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Ā Assoc Prof Dr. Mingxuan MaoĀ  Ā distinguished academic and researcher in the Photovoltaic Power Generation. He has a rich and diverse academic background, spanning across several prestigious institutions and roles. Beginning his journey as a Postdoctoral Fellow in the Department of Electrical and Electronic Engineering at Imperial College London, UK, from April 2021 to March 2023, he honed his skills and expertise in his field. Prior to that, he served as a Postdoctoral Fellow and later as an Associate Professor and Deputy Dean of the Power Electronics and Power Transmission Department at Chongqing University, China, from January 2018 to April 2021. Currently, he holds the position of Associate Professor at the School of Automation, Wuxi University, China, starting from September 2023. With his extensive experience and academic contributions, he continues to make significant strides in the realm of automation and electrical engineering.

šŸŒ Professional Profiles

EducationsšŸ“ššŸ“ššŸ“š

He pursued an extensive educational journey, consolidating his expertise in control theory, engineering, and automation. His academic endeavors began with a Bachelor’s degree in Electrical Engineering and Automation from the School of Electronic and Electrical Engineering at Chongqing University of Arts and Sciences (CUAS), China, where he graduated in June 2012. Subsequently, he embarked on his doctoral studies, specializing in Control Theory and Control Engineering, at the School of Automation, Chongqing University (CQU), China, obtaining his PhD in December 2017. During this time, he also engaged in enriching experiences as a Visiting Graduate Student at WISE, Xiamen University, China, in July 2015, and at the Automotive Engineering College, Tsinghua University, China, in July 2013. Building on his doctoral research, he pursued a Joint PhD program at the School of Electronic and Electrical, University of Leeds, UK, from June 2016 to June 2017. His educational journey reflects a steadfast commitment to academic excellence and a deepening understanding of his field.

Supervision

He has been actively involved in mentoring and guiding graduate students at the Electrical Engineering Department of Chongqing University (CQU). Taking on the role of Graduate Student Guidance, he has supervised the academic progress of Siyu Chen and Zhao Xu, both pursuing Master of Science degrees starting from the fall semester of 2023, as well as Xinying Feng, Fuping Ma, Pengyan Li, and Liuqing Zhao, who are postgraduate students in the same department. Additionally, he has provided co-guidance to several PhD candidates, including Chen Zheng (since fall 2018), Qianjin Zhang (since fall 2020), Bao Xie (since fall 2020), Haixiao Li (since spring 2021), and Gaofeng Hao, all within the Electrical Engineering Department at CQU. Moreover, he has also mentored Yihao Wan, who commenced his Master of Science studies in the fall of 2019, and Siyu Z, whose academic journey under his guidance reflects his commitment to fostering the development of future scholars in the field of electrical engineering.

Research Interest

His research interests encompass a broad spectrum within the realm of electrical engineering, with a focus on various aspects of power electronics, control theory, and artificial intelligence. Specifically, he delves into the intricacies of power electronics topology and control mechanisms tailored for Solar PV Power Generation systems. Additionally, he is deeply engaged in exploring advanced control theories and system identification methodologies, translating theoretical frameworks into practical implementations with real-world applications. Furthermore, he demonstrates a keen interest in leveraging Artificial Intelligence techniques, particularly evolutionary optimization algorithms and deep learning methodologies, to address contemporary challenges in the field. Through his interdisciplinary approach, he continually seeks innovative solutions to enhance the efficiency and performance of electrical systems while contributing significantly to the advancement of research in these domains.

Main Project Experience

Throughout his tenure as a Research Fellow, Mr. Mao has been actively engaged in several projects spanning various facets of power electronics and renewable energy systems. As the Director of the first project, sponsored by the National Natural Science Foundation of China, he led research efforts focusing on the optimization strategies of photovoltaic arrays installed on highway pavements under dynamic random vehicle shading. This involved modeling and analyzing pavement PV panels based on vehicle traffic flow theory, as well as designing offline optimization configurations and maximum power point tracking strategies using data-driven approaches and autonomously evolving algorithms.

In another project, also directed by Mr. Mao and sponsored by the Chongqing Postdoctoral Science Foundation, he explored research on photovoltaic DC pooling topology and active fault-tolerant control mechanisms amidst local power attenuation. This endeavor entailed designing DC boost collecting systems for large photovoltaic power stations, establishing fault expert databases, and devising fault prediction and processing schemes based on data analysis technologies.

Additionally, Mr. Mao played a core role in projects investigating the aging laws and reliability evaluation methods of key components in large capacity power electronic equipment, as well as the impact analysis and control methods for photovoltaic power generation systems under the hot spot effect. These projects, sponsored by various entities including the National High Technology Research and Development Program of China and the National Natural Science Foundation of China, involved modeling PV panels under the hot spot effect, developing AI techniques for control, and implementing wireless detection methods for PV panel hot spots.

Furthermore, he contributed as a core participant in a project sponsored by the Major State Basic Research Development Program, focusing on advanced control techniques for new energy power systems. In this project, he delved into multi-agent control in nonlinear systems, stabilization problems with constrained states, and various other unknown issues, showcasing his diverse expertise and commitment to advancing the field of renewable energy systems.

šŸ“šŸ”¬PublicationsšŸ“šŸ”¬
J1] Mingxuan Mao*, Li Zhang, Han Huang, et al. Maximum power exploitation for grid-connected PV system under fast-varying solar irradiation levels with modified salp swarm algorithm[J]. Journal of Cleaner Production, 2020, 268:
122158.
[J2] Mingxuan Mao*, Siyu Chen, Jinyue Yan. Modelling pavement photovoltaic arrays with cellular automata[J]. Applied Energy, 2023, 330: 120360.
[J3] Mingxuan Mao*, Xinying Feng, Tommy WS Chow. A Convolutional Neural Network Based Maximum Power Point Voltage Forecasting Method for Pavement PV Array. IEEE Transactions on Instrumentation & Measurement,
2022, 72: 1-9.
[J4] Lining Wang, Mingxuan Mao*, Jili Xie, et al. Accurate solar PV power prediction interval method based on frequency-domain decomposition and LSTM model[J]. Energy, 2022: 125592.
[J5] Mingxuan Mao*, Zhao Xu, Jianghao Li, et al. A Phase-shifting DC-link Voltage Control Strategy for Parallel Inverters to Suppress Interharmonics in PV Systems[J]. IEEE Journal of Emerging and Selected Topics in Power Electronics,
2023, 11(3): 3163-3172.
[J6] Mao M*, Zhang L, Duan P, et al. Grid-connected modular PV-Converter system with shuffled frog leaping algorithm based DMPPT controller[J]. Energy, 2018, 143: 181-190.
[J7] Li H, Mao M*, Guo K, et al. A decentralized optimization method basedtwo-layer Volt-Var control strategy for the integrated system of centralized PV plant and external power grid[J]. Journal of Cleaner Production, 2021, 278:
123625.
[J8] Mao M*, Zhang L, Duan Q, et al. Multilevel DC-link converter photovoltaic system with modified PSO based on maximum power point tracking[J]. Solar Energy, 2017, 153: 329-342.
[J9] Mao M*, Zhang L, Yang L, et al. MPPT using modified salp swarm algorithm for multiple bidirectional PV-Ćuk converter system under partial shading and module mismatching[J]. Solar Energy, 2020, 209: 334-349.
[J10] Mao M*, Zhou L, Yang Z, et al. A hybrid intelligent GMPPT algorithm for partial shading PV system[J]. Control Engineering Practice, 2019, 83: 108-115.
[J11] Mao M*, Cui L, Zhang Q, et al. Classification and summarization of solar photovoltaic MPPT techniques: A review based on traditional and intelligent control strategies[J]. Energy Reports, 2020, 6: 1312-1327.
[J12] Mao M*, Duan Q, Zhang L, et al. Maximum power point tracking for cascaded PV-converter modules using two-stage particle swarm optimization[J]. Scientific Reports, 2017, 7(1): 1-10.
[J13] Wan Y, Mao M*, Zhou L, et al. Review on topology-based dc short-circuit fault ride-through strategies for MMC-based HVDC system[J]. IET Power Electronics, 2019, 13(2): 203-220.
[J14] Zhang Q, Mao M*, Ke G, et al. Stability problems of PV inverter in weak grid: a review[J]. IET Power Electronics, 2020, 13(11): 2165-2174.
[J15] Zhang Q, Zhou L, Mao M*, et al. Power quality and stability analysis of largeā€scale gridā€connected photovoltaic system considering nonā€linear effects[J]. IET Power Electronics, 2018, 11(11): 1739-1747.