IEEE SCEMS 2024-Speeches

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GUEST SPEECHES

Yonghua Song

University of Macau

Chair Professor

Rector of University of Macau, Director of State Key Laboratory of Internet of Things for Smart City

Fellow of IEEE and IET

Fellow of Royal Academy of Engineering of the UK

Ayman M. El-Refaie

Marquette University

Werner Endowed Chair in Secure and Sustainable Energy at Marquette University

Fellow of IEEE

IEEE IAS President Elect

Chi-Yung Chung

The Hong Kong Polytechnic University

Chair Professor

Head of Department of Power Systems Engineering

Fellow of IEEE, CSEE, IET and CAE.

IEEE PES President Elect

Jianxin Shen

Zhejiang University

Professor

Director of Institute of Aerospace and Special Electrical Machines

Deputy Dean of College of Electrical Engineering

Fellow of IET

KEYNOTE SPEECHES

Finite-Element and Lumped-Parameter Modelling of Electrical Machines: Compromising between Accuracy and Computational Effort

Since the early days in the 1980’s, the finite-element (FE) analysis of electrical machines has evolved enormously, both regarding software and hardware, and both in academia and industry. Magnetics is the prime physics, next to thermics and elasticity. For the geometry and the material modelling, any level of detail can be imagined. However, for the analysis task at hand, finding the right balance between accuracy (or relevance of the results) and computational cost is key. Thanks to parameter extraction from the FE model and/or experimental identification, the numerical analysis can be started/continued in a circuit simulator, e.g. Simulink, with consideration of power-electronic supply and the wider system. The above will be developed and illustrated by means of practical and real-life test cases.

Johan Gyselinck Université Libre de Bruxelles

Parallel Power Quality and Renewable Solar Power Converter Researches for Smart Grid and Green Energy

The talk topic is “Parallel Power Quality and Renewable Solar Power Converter Researches for Smart Grid and Green Energy,” which includes power quality issues, parallel power converters, development, and research trends. Several Parallel Power Quality and Renewable Solar Power Converter researches will be discussed as examples. Then, a final address will be given to deal with its combination with Smart Grid and Energy Internet in the future. Hopefully, the talk can give a comprehensive view of this technology, its state-of-the-art development, and its philosophy. Hopefully, the discussion for future research trends can help researchers clarify possible research paths. The speaker has investigated this Power Quality Compensator research area for more than 15 years and has published many papers in this area. According to the Scopus database information, the research group has been in the top 5 of this research area recently (2016-2022) in terms of top journal publication number for POWER FILTER in IEEE Transactions on Power Electronics, IEEE Transactions on Industrial Electronics, and IEEE Journal of Emerging and Selected Topics in Power Electronics.

Man-Chung Wong University of Macau

Pierluigi Siano

University of Salerno

INVITED SPEECHES

Spatial-Temporal Heterogeneous Flexibility in Power Systems with High-Share Renewable Energy

The traditional power regulation has insufficiently utilized flexibility, leading to difficulties in integrating renewable energy sources. There is an urgent need to address the issues of flexibility exploration and utilization. This report will present research findings in the multidimensional flexibility resource analysis and regulatory optimization theories for power energy systems. It includes methods for flexibility analysis and modeling aimed at renewable energy integration, robust regulation and operational methods for interconnected power systems with coordinated spatiotemporal flexibility, and coordinated optimization scheduling methods for grid-thermal/cooling coupling systems that explore multi-energy flexibility. These findings have been applied in typical power energy systems such as those in Jilin and Guangzhou, yielding significant socioeconomic benefits.

Zhigang Li

The Chinese University of Hong Kong, Shenzhen

Yunchong Wang

Zhejiang University

Design and Applications of High Performance Synchronous Reluctance Machines

High efficiency electrical machines are drawing increasing interest in the generation and utilization of modern electric power. Synchronous reluctance machines offer advantages of reduced rotor losses and low operating temperature with copper-free rotor compared to traditional induction machines. Additionally, they are easy to manufacture and demonstrate robust performance, making them increasingly attractive for industrial applications. The design and analysis of synchronous reluctance machines have been widely investigated for better machine performances, among which adding permanent magnets is a popular approach. This report will provide an overview of various applications and industry development of synchronous reluctance machines. Taking the past research experience of the team in this area as an example, the report will focus on recent innovative researches and development trend in synchronous reluctance machines.

Minghao Wang

University of Macau

Circulating Current Suppression in Renewable Energy Systems

Inverters play a crucial role in connecting renewable energy sources to the AC power grid. However, due to faulty operating conditions or manufacturing tolerance in inverter hardware parameters, circulating currents (CCs) will occur within the system, which can threaten the safety and stability of the system. To overcome these problems, comprehensive decentralized CC suppressing strategies are proposed for the two-level inverters-based and three-level inverters-based renewable energy systems, respectively. The models of CCs are established and the influence factors of CCs are analyzed. Moreover, the control degrees of freedom of the inverters are fully discussed and explored. With the above analysis, the associated CC suppressing strategies are elaborately designed, respectively. The effectiveness of the proposed strategies is verified by experimental tests.

Yiwei Qiu

Sichuan University

Key Concerns and Practices for Utility-Scale On/Off-Grid Renewable Power-to-Hydrogen Systems

Renewable energy-based renewable-power-to-hydrogen (ReP2H) systems are an emerging technology for large-scale decarbonization in the power, chemical, refining, and transport industries. Since 2021, many demonstration projects have been initiated in China, with a few currently under construction. However, limited or no external grid support often leads to fluctuations in wind and solar power generation, causing risks of frequency and voltage instability as well as energy and mass mismatches between power sources, hydrogen production loads, and downstream chemical processes. These challenges hinder the achievement of desired economic outcomes in engineering applications. This talk will provide an overview of the key technological concerns in implementing ReP2H projects, including the assessment and improvement of flexibility of hydrogen production units and plants, stability and active/reactive power balance in regional power systems, and the challenges of multi-stakeholder investment. Finally, practical experiences from engineering implementations of these projects will be shared.

Xiangyu Zhang

Southeast University

Adapting Deep Reinforcement Learning to Energy System Applications

Deep reinforcement learning (DRL) has demonstrated superhuman capabilities in board games and video games, and over the past decade, the research community has actively explored its application to engineering problems, identifying advantages over traditional approaches. Despite DRL's impressive performance, directly applying DRL algorithms to energy system applications, which are characterized by high uncertainty, constraints, nonlinearity, and high dimensionality, may not yield satisfactory policies. In this presentation, two training techniques, global-local policy search and curriculum-based learning, are introduced, and their ability to accelerate policy convergence to a better local optimum within a shorter wall time is demonstrated through case studies involving grid-interactive building control and critical load restoration in distribution systems.

ROUND TABLE