Conference Speakers

Prof. Yoshihiro Deguchi (Keynote Speaker)

Tokushima University, Japan

Title of speech: Advanced analysis and control of industrial processes using digital twin with integration of laser diagnostics and CFD

Abstract: In this study, advanced analysis and control of industrial processes using digital twin with integration of laser diagnostics and Computational Fluid Dynamics (CFD) was developed for the digital transformation (DX) of industrial processes. Computed Tomography-Tunable diode laser absorption spectroscopy(CT-TDLAS) and Laser Induced Breakdown Spectroscopy (LIBS) monitoring systems were developed to monitor the concentration and temperature of industrial processes. CT-TDLAS is based on the CT method using absorption spectra of molecules such as H2O, CO2, CO, O2, NH3, and hydrocarbons and allows real-time measurement of temperature and concentration distributions in two and three dimensions. LIBS is an analytical detection technique based on atomic emission spectroscopy for determining elemental composition. The integration of laser diagnostics and CFD enables the prediction of nonlinear phenomena such as combustion, and the feasibility of this digital twin advanced control has been developed and demonstrated using a CH4-NH3 swirl burner. The key technology of this method is the functional form that specifies the relationship between real space (laser diagnostics) and virtual space (CFD). This method also allows real-time and full-process analysis of nonlinear phenomena using a virtual space based on real space measurement results. The applications of this digital twin technology to industrial processes are also discussed toward carbon neutrality.

Biography: Yoshihiro Deguchi received his BE, ME, and DE degrees from Toyohashi University of Technology in 1985, 1987, and 1990, respectively, and after obtaining his DE, he worked for 20 years as a research engineer in the field of applied physics at Mitsubishi Heavy Industries, Ltd. He has been involved in the development of laser diagnostic methods such as tunable diode laser absorption spectroscopy, laser-induced breakdown spectroscopy, and laser Raman spectroscopy, and has applied these technologies to industrial fields toward DX (Digital Transformation) and Digital Twin. In 2010, he joined Tokushima University as a full-time professor. He is one of the leading researchers and engineers in the practical application of laser diagnostics and Digital Twin, especially for industrial processes. He has won more than 10 academic and industrial awards including best paper awards of academic societies. As a conference ambassador of Japan National Tourism Organization, he has held more than 10 international conferences as a chairperson in 2017-2024 to promote the academic activities in Japan. In addition to his research activities, he has also encouraged the use of intellectual property. He is a qualified patent attorney and professional engineer, and has been involved in both educational and industrial research projects at Tokushima University to motivate students toward research and invention.

 

 

 

Prof. Lim Yun Seng (Keynote Speaker)

Universiti Tunku Abdul Rahma, Malaysia

Title of speech: Grid integrated energy storage system for peak demand reductions

Abstract: The electricity generation and maximum demands in many countries are increasing rapidly in the past few decades in tandem with economic growth. A grid-integrated energy storage system (ESS) provides an attractive solution to mitigate the maximum demands. However, many entrepreneurs are not optimistic about the potential business opportunities for grid-integrated energy storage systems especially in developing countries like Malaysia because the technical, financial and environmental benefits of ESS technologies are not evident currently. Therefore, a 400 kW and 667 kWh energy storage system was designed, set up and commissioned at a university building in Malaysia in order to demonstrate the multiple benefits of grid-integrated ESS. The system has proven to generate an annual saving of about USD 3,803.6 in electricity bills. At the same time, the utility company has also achieved the annual savings of USD 21,207.75 and 15.86 tons of CO2 avoidance since the ESS reduces generation cost and helps cut significant cost through deferment of network reinforcements. With a storage cost of only USD 151,000, the customer and utility company can recover the cost within 6 years over the storage lifespan of 11 years. Hence, the grid-integrated ESS presents a good business opportunity for even small and medium-sized enterprises (SMEs) to enter the electricity industry by offering unique energy savings solu- tions to the customers and utility company which is particularly attractive in countries where there are only a few major electricity providers such as Malaysia to generate more savings to both the customers and utility companies.

Biography: Prof. Ir. Dr. Lim Yun Seng is a Senior Professor in Lee Kong Chian Faculty of Engineering and Science at UTAR. Prof Lim has successfully developed the first utility-integrated and self-intelligent energy storage system (ESS) of 400kVA and 677kWh in Malaysia with several new controllers of ESS for improving the three aspects of energy supply, namely security of electricity supply, the affordability of electricity and environment sustainability. These three main aspects are also known as energy trilemma as defined by the World Energy Council. His novel controller of ESS can reduce the maximum power demands for power utility companies such as TNB. As a result, the utility companies can defer the needs of installing new power plants and upgrading power networks, hence reducing their yearly investment cost, and so avoiding the yearly increase in the retail price of electricity for the customers. With the deferment of new power plants and network upgrades, greenhouse emissions can be reduced, hence improving the environmental sustainability of energy supply. Another novel controller of ESS mitigates the technical issues caused by the penetration of renewable energy sources on the electrical distribution networks, hence promoting the growth of renewable energy sources for mitigating climate change issues. Prof Lim is the founder and director of a spin-off company, namely IoT Energy Sdn Bhd, that designs ESS projects and setup ESS for TNB R&D and Daikin factory. He is also the founder and chairperson of the research centre for power system and electricity (CPSE) at UTAR since 2017. CPSE was the recipient of UTAR Research Centre Excellence Award in 2020 and 2021. Prof Lim has published 64 journal papers with 2013 citations at h-index of 21 under Google Scholar. In addition, 8 of his journal papers are ranked in the top 5% in Clarivate Analysis. He has won numerous research grants such as E-science, FRGS, AAIBE, Newton Fund, and Petronas with the total amount of RM7.713 million or USD 1.8 million. He has carried out many consultancy projects worth of RM67,900 for universities and industries. He holds 3 granted patents and 5 pending patents. Prof Lim has successfully graduated 5 PhD and 15 Master students out of 28 postgraduate students. He is a Professional Engineer with Practising Certificate and CEng. He is a full member of IET and senior member of IEEE. He is also a Fellow of AAET, Fellow of IEM and a Fellow of Academic Science Malaysia (FASc). He has been the external examiner for the Electrical and Electronic Engineering programme in UCSI University since 2020. Prof Lim has won 27 international and national awards such as National Outstanding Innovator Award 2017, Gold Award in Pecipta 2019, ITEX 2022 and World Invention Intellectual Property Association (WIIPA) Special Award 2022. He is the recipient of the Top Research Scientist Malaysia in 2018 and the main recipient of 2020 MTSF Science and Technology Award (STA) with the cash prize of RM 30,000.00. He has been the lead author for the Intergovernmental Panel on Climate Change (IPCC) since 2019.

 

 

 

Assoc. Prof. Zechun HU (Invited Speaker)

Tsinghua University, China

Biography: Graduated from the School of Electrical Engineering, Xi'an Jiaotong University in 2006 with a doctoral degree; After graduation, I joined the Department of Electrical Engineering at Shanghai Jiao Tong University and engaged in teaching and research work. I worked as a Research Officer at the University of Bath in the UK from 2009 to 2010. After returning to China, he joined the Power System Research Institute of the Department of Electrical Engineering at Tsinghua University and was appointed as an associate professor. Selected as a top young talent in the national "Ten Thousand Talents Plan", led one National Natural Science Foundation key (joint fund), one general and one youth fund project, and one doctoral program fund of the Ministry of Education. Participated as a backbone in six National Key Research and Development Program projects, 973 projects, 863 projects, and two National Natural Science Foundation international cooperation projects. More than 170 papers have been published and accepted, including over 60 SCI indexed papers (including over 40 IEEE Trans papers), 1 ESI highly cited paper, and the "Top 100 Most Influential Domestic Academic Papers in China" for the years 2013, 2015, and 2016. Additionally, 8 papers have been selected for the Chinese leader F5000, 2 monographs have been published, and 2 English monographs have been co authored. Won 5 first prizes at the provincial and ministerial levels (including 2 first prizes for natural sciences from the Ministry of Education), and 3 second and third prizes each. He is now the director of the Research Office of Transportation Energy Optimization and Planning of Tsinghua Energy Internet Innovation Institute, the deputy director of the Energy IoT Research Institute of Tsinghua Sichuan Energy Internet Research Institute, a senior member of IEEE, a senior member of the Chinese Society of Automation, the editorial board member of IEEE Transactions on Transportation Electricity and IET Smart Grid journals, the deputy leader of the Electric Vehicle, Energy Storage and Demand Side Response Study Group of the Distributed Generation and Intelligent Distribution Special Committee of the Electrical Engineering Society, a member of the Electric Vehicle Charging and Switching System and Test Professional Committee of the Electrotechnical Society, and a member of the Energy Storage Special Committee of the China Energy Research Association. The current main research directions are the interaction between electric vehicles and the power grid, the application of energy storage technology in the power system, the optimization and planning of the power system, and the electricity market. Research direction: Power system operation and optimization, interaction between electric vehicles and the power grid, application of energy storage systems, demand side response, power system planning, and power market.

 

 

Prof. Sidun Fang (Invited Speaker)

Chongqing University, China

Biography: Sidun Fang, IEEE Senior Member, Member of the Youth Working Committee of the China Shipbuilding Engineering Society. Graduated from Chongqing University in 2012 with a Bachelor's degree in Engineering; Graduated from Shanghai Jiao Tong University in 2017 with a PhD in Engineering, and was nominated for Outstanding Doctoral Dissertation at Shanghai Jiao Tong University (ranked 15th in the university). I conducted postdoctoral research at Nanyang Technological University in Singapore and The Chinese University of Hong Kong from 2017 to 2021. Joined the School of Electrical Engineering at Chongqing University in 2021 and was selected for the National Youth Talent Program that same year. Served as a "Hongshen Outstanding Scholar", professor, and doctoral supervisor at Chongqing University. Mainly engaged in research on integrated energy systems and energy transportation integration, with over 40 research papers published in related fields. At present, I also undertake multiple academic part-time jobs, including serving as the secretary of the "Microgrid and Virtual Power Plant" subcommittee of the IEEE IAS Energy Systems Committee, IEEE Transactions on Industry Applications，IEEE Transactions on Industrial Cyber-Physical Systems, IET Renewable Power Generation Associate Editor, Editorial Board Member of Energy Systems Journal. Served as an Editorial Board Member for the International Transactions on Electrical Energy Systems journal from 2020 to 2022. The main research areas include:
(1) Joint state assessment of energy storage systems under extreme operating conditions, including the impact mechanism and modeling of extreme environments such as high temperature, high humidity, salt spray, and vibration on the degradation of energy storage characteristics;
(2) Power control of transportation vehicles with large capacity energy storage devices, especially power control of ship electric propulsion systems, including power allocation in modes such as trajectory control and dynamic positioning; (3) Analysis and modeling of various integrated energy systems, including port integrated energy systems, high-capacity electrolysis industrial parks, agricultural and animal husbandry integrated energy, and various multi energy complementary energy systems.

 

 

Prof. Rui Li (Invited Speaker)

Shanghai Jiaotong University, China

Biography: Li Rui, graduated from Zhejiang University with a PhD in Power Electronics Technology, is currently a professor in the Department of Electrical Engineering at Shanghai Jiao Tong University. He focuses on the research and promotion of battery energy storage power conversion technology, and has successively presided over 4 National Natural Science Foundation projects, 3 National Key R&D Programs, and 863 projects. He has published more than 40 IEEE journal papers, authorized more than 50 invention patents in the United States and China (1 China Excellent Patent Award), and published 3 monographs in both Chinese and English. He is the first recipient of the IEEE Power Electronics Association Best Journal Paper Award in mainland China.

 

 

Prof. Bo Yang (Invited Speaker)

Kunming University of Science and Technology, China

Title of speech: Artificial Intelligence-based Optimization in New Power Systems

Abstract: As renewable energy technologies and new power systems advance, the limitations of traditional optimization methods in engineering applications are increasingly apparent. This presentation focuses on artificial intelligence (AI) optimization for new power systems-encompassing photovoltaic (PV), wind, hydrogen, and wave energy--specifically in power forecasting, PV parameter identification, optimal planning, and renewable energy generation optimization. First, an LCASO-BP neural network prediction model is introduced for accurate and efficient power forecasting in renewable generation systems. Subsequently, an improved equilibrium optimizer algorithm (IEO) is designed to precisely identify unknown parameters, enabling the establishment of reliable PV system models. Furthermore, optimal planning models based on multi-objective optimization are proposed for active distribution networks, traffic-grid coupled networks, and wave energy converter systems. Finally, AI-based optimization techniques are presented to rapidly and reliably track the global maximum power point and reconfigure the array structure for PV systems and PV-thermoelectric generator systems.

Biography: Prof. Bo Yang received his Ph.D. degree from the University of Liverpool in 2015 supported by China Scholarship Council (CSC). He has authored two Chinese monographs as the first author and published over 180 SCI journal papers (including 11 ESI papers and 3 hot papers) and 30 EI journal papers. He has led 33 research projects, including two National Natural Science Foundation of China and three Yunnan Province basic Research Programs. He has received numerous awards, including the First Prize for Technological Innovation from the China Electricity Council in October 2018, the Second Prize for Innovation in Industry-Academia-Research Cooperation in December 2018, and the First Prize for Scientific and Technological Progress from the Yunnan Power Grid Company in December 2023. He was awarded as the "Yunnan Province Ten Thousand Talents Program - Young Top Talents" (provincial level) in December 2018, Highly Cited Chinese Scientist from 2021-2024 by Elsevier, top 2% of scientists globally in terms of lifetime scientific impact and annual influence from 2022-2024, as well as China Knowledge Network Top 1% of Highly Cited Scholars for 2024. From October 2023 to January 2024, he was fully funded by the to conduct research as a visiting scholar at the University of Liverpool. He also serves on the Youth Working Committee of the Eighth Council of the China Electrotechnical Society, as an executive director of the IEEE PES China Energy Informatics and Systems Technology Subcommittee and the Dynamic Power System Artificial Intelligence Applications Technology Subcommittee. He has been playing General Chair of IEEE International Conference on Power Science and Technology (ICPST 2023-2025), indexed by EI).

 

 

Assoc. Prof. Yan Xu (Invited Speaker)

Nanyang Technological University, Singapore

Title of speech: Transient Stability-Constrained Optimization for Power Systems with High-Level Renewables

Abstract: Transient stability is one of the most stringent stability criteria for a power system. With growing integration of intermittent and power converter interfaced renewable energy resources, both static and dynamic characteristics of the power system have been significantly complicated. Since transient instability can develop very fast, its control is practically implemented as preventive actions such as generation rescheduling and emergency actions such as load shedding. The control actions can be generally optimized through transient stability-constrained optimization, e.g., transient stability constrained optimal power flow (TSCOPF). This talk will first review the preliminaries of TSCOPF problems and revisit the relevant research works in literature. Then, it will introduce a series of methodologies for modeling and solving the TSCOPF problems and their variants considering both preventive and emergency control actions under uncertain wind power variations. Besides, this talk will also briefly introduce several specialized Artificial Intelligence (AI) methods for power system transient stability assessment.

Biography: Dr Yan Xu is now the Cham Tao Soon Professor in Engineering at Nanyang Technological University (NTU) – an endowed professorship named after the founding president of NTU. He serves as the Director of the Center for Power Engineering, and Co-Director of the SingaporePower Group–NTU Joint Lab. Dr Xu leads the SODA (Stability, Optimization & Data-Analytics) group, comprising 14 PhD students and 6 Post-doctoral Fellows, with research focused on power system stability, microgrid, and data-analytics. He and his team have received the IEEE Trans. Smart Grid Outstanding Paper Recognition (2024 and 2021), the IET Premium Award – Best Paper (2022), and the Applied Energy Highly Cited Paper Award (2018).

Dr Xu is the recipient of the 2024 Nanyang Research Award (Young Investigator) by NTU, and the 2024 Outstanding Engineer Award by IEEE Power & Energy Society (PES) Singapore Chapter. His professional service roles include Associate Editor for IEEE Trans. Smart Grid and IEEE Trans. Power Systems, CSEE-JPES, MPCE, and IET ECE.

 

 

Prof. Yunfei Mu (Invited Speaker)

Tianjin University, China

Biography: Mu Yunfei is a Professor and Doctoral Supervisor at the School of Electrical Automation and Information Engineering, Tianjin University. His research directions focus on power system and its automation, with particularly prominent achievements in the fields of integrated energy systems and the interaction between electric vehicles and power grids.

He has undertaken several national scientific research projects, been awarded the National Science Fund for Excellent Young Scholars, honored as one of the "Top Ten Outstanding Young Scholars" of Tianjin University, and served as the Executive Deputy Director of the National-Local Joint Engineering Research Center for Development and Application of Microgrid and Intelligent Distribution Systems.