Biography: Wei Jiang received his BSEE degree from Southwest Jiaotong University, Chengdu, China, in 2003, and his M.Sc. and Ph.D. degrees in electrical engineering from the University of Texas at Arlington, Texas, in 2006 and 2009, respectively. From 2007 to 2008, he was a senior design engineer with EF Technologies L.L.C., TX, USA. In 2010, he joined Yangzhou University and founded the Smart Energy Laboratory, where he was promoted to full professor. He was appointed as the vice president of Yangzhou Polytechnic Institute in 2023. He has been the visiting professor to Gunma University, Japan, in 2012, University of Strathclyde and Aston University, UK, in 2015. He was the four-time University Excellent Teaching Award winner. His current research interests include digitalized power conditioning to renewable energy and energy storage devices and microscopic analysis of electromechanical energy conversion. He holds 2 US patents and 19 Chinese patents with 2 licensed by the industry.
Title of Speech: Energy Router for Microgrid Clusters
Abstract: The DC micro-grid has emerged as an increasingly popular solution for localized energy integration and dispatching. With multiple DC micro-grids in a system, an effective DC tie can facilitate various generation, storage, and consumption modes. It enhances energy versatility and contributes to improved energy resiliency. Hence, this presentation introduces the concept of a multi-port energy router (MER) aims to multiplex DC power across various DC communities all with close-margin bus voltages. The proposed MER functions as a "super node" following Kirchhoff's current law. It incorporates a unique partial power topology, enabling direct control of DC current flow between any two buses or towards local energy storage, solely based on bus voltage differences. To align modulation and control with industrial standard frameworks and provide flexibility in controlling energy storage current, a multi-dimension space vector modulation method is proposed. The instantaneous power theory is re-defined for the DC energy router's operation.
Biography: Dr. Yingjun Wu is an Associate Professor at Hohai University, specializing in new energy power systems, electricity demand-side trading, grid flexibility, and power information-physical networks. Over the past years, he has led over 40 research projects, receiving funding from prestigious sources such as the National Natural Science Foundation, the Ministry of Education's Fund for Returning Scholars, the Natural Science Foundation of Jiangsu Province, and projects from the State Grid Corporation of China. Dr. Wu has authored more than 70 papers published in esteemed academic journals and conferences, including RENEW SUST ENERG REV, IEEE INTERNET THINGS, IEEE T SUSTAIN ENERG, and IEEE T IND APPL. Over 30 of his papers are indexed in SCI. Notably, he has developed an intelligent distribution simulation system and received the first prize for management innovation in Jiangsu Province. Currently holding the position of Secretary-General of the IEEE PES Nanjing Chapter, Dr. Wu is also a member of the IEEE PES Young Professionals Technical Advisory Committee (YP TAC SC) and serves as an executive member in various IEEE PES (China) committees. Additionally, he holds editorial roles as a Guest Associate Editor or Editorial Board member for academic journals, including FRONT ENERGY.
Title of Speech: Evaluation and Control of Inertia in Renewable Energy-Based Power Systems
Abstract: As renewable energy sources, particularly wind farms, continue to play a dominant role in modern power systems, the issue of inertia has become increasingly significant. This report aims to delve into the assessment and control of inertia within wind farms operating within these novel power systems. Firstly, the influence of wind conditions on wind farm inertia is examined, leading to the development of a model that incorporates these variables for enhanced inertia assessment, thereby improving the system's resilience to fluctuations in primary energy sources. Additionally, the impact of inertia control models and parameters on wind farm inertia is explored, culminating in the formulation of an evaluation model targeting critical inertia control parameters to optimize control strategies and bolster the inertia support capacity of wind farms. Through these investigations, a deeper comprehension of inertia challenges in renewable energy-based power systems is attained, offering theoretical underpinnings and technical insights to bolster system stability and reliability.
Biography: Haoran Li is a postdoctoral researcher in the School of Electrical Engineering at Shandong University and holds a doctorate in control theory and control engineering. His main research areas include modeling and simulation, performance analysis, planning and design, and optimal operation of integrated energy systems.
Title of Speech: Research on Methods for Optimal Design and Intelligent Dispatching of Regional Integrated Energy Systems Oriented to Urban and Rural Carbon Neutrality
Abstract: The randomness of sources and loads, coupling of energy flows, and diversity of equipment pose significant challenges to achieving low-carbon and efficient economic operation of regional integrated energy systems. This study proposes a comprehensive and feasible optimization design and intelligent scheduling method for regional integrated energy systems aimed at urban-rural carbon neutrality. Firstly, we establish a state equation for multi-energy flows that takes into account energy conversion and transportation delays. Additionally, we propose a precise tracking method for energy consumption and carbon emissions based on energy quality dissipation, addressing the challenge of accurately metering carbon emissions from multi-energy coupling. Secondly, we establish dynamic connection relationships among energy hubs to facilitate the flow of multiple energy types. Furthermore, we propose an integrated design approach for the structure, capacity, and parameters of energy hubs, considering information compensation, to overcome the challenges associated with reliable energy hub design. Finally, we construct a probability interval for source-load uncertainty based on prediction errors. We also propose a robust optimization scheduling method that combines cloud-based day-ahead planning with edge-based real-time collaboration among multiple intelligent agents. This approach addresses the challenge of efficiently optimizing topology and energy flow, enabling energy conservation, carbon reduction, and enhanced economic benefits.
Biography: Xu Li received the B.E. degree from the School of Electrical Engineering and Automation, Anhui University, Hefei, China, in 2017, and the Ph.D. degree from the School of Electrical Engineering, Southeast University, Nanjing, in 2023, respectively. From 2021 to 2022, he was a joint Ph.D. student with the Centre for Applied Power Electronics (CAPE) Laboratory, University of Toronto, Toronto, ON, Canada. Currently, he is a Lecturer with the College of Electrical and Energy Power Engineering, Yangzhou University. His research interests include fault analysis, fault ride-through control, and protection relay of renewable energy systems. Dr. Li is a member of the Committee on Protection and Control Technology for Renewable Energy Power Systems, China Energy Research Society. He has participated in two projects funded by the National Natural Science Foundation of China and serves as a reviewer for the IEEE Transactions on Smart Grid and the IEEE Transactions on Power Delivery. Dr. Li was also the recipient of the Outstanding Graduate Award of Anhui University and the Best Conference Paper Award at the 12th IEEE PES Asia-Pacific Power and Energy Engineering Conference.
Title of Speech: Current-Only-Dependent Protection for Distribution Networks Including Wind DGs Under Weak Synchronization Conditions
Abstract: The ever-increasing integration of wind power as distributed generations (DGs) into distribution networks (DNs) has significantly impacted the application environment for conventional three-stage overcurrent protection. Moreover, the implementation of advanced protection schemes is often hindered by the absence of voltage information and weak synchronization communication conditions in DNs. This presentation introduces a range of current-only-dependent solutions to address the DN protection issues under such challenging circumstances. These innovative solutions leverage solely the current amplitude information, eliminating the need for strict synchronization of sampling data at the two terminals of feeders. In comparison to voltage-dependent or phasor-measurement-based protection schemes, these current-only-dependent solutions offer a cost-effective implementation approach and improved compatibility with the existing DN infrastructure.
Copyright © 2024 the 7th International Conference on Energy, Electrical and Power Engineering. All rights reserved.
