Speakers


US Participants


        (1) Dr. Saifur Rahman, Virginia Tech

        (2) Dr. Manisa Pipattanasomporn, Virginia Tech

        (3) Dr. Murat Kuzlu, Virginia Tech

        (4) Dr. Anurag Srivastava, Washington State University

        (5) Dr. Amir Etemadi, George Washington University

Chinese Participants


        (1) Dr. Gao Shan, Southeast University

        (2) Dr. Tang Yi, Southeast University

        (3) Dr. Chongqing Kang, Tsinghua University

        (4) Dr. Huanhai Xin, Zhejiang University

        (5) Dr. Zheng Yan, Shanghai Jiao Tong University

        (6) Dr. Ming Ni, State Grid Corporation of China.

        (7) Dr. Taiyou Yong, China Electric Power Research Institute.

        (8) Dr. Gao Ciwei, Southeast University.

        (9) Dr. Xue Feng, State Grid Electric Power Research Institute .

        (10) Dr. Huang Xue-liang, Southeast University .

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Rahman, Saifur

Professor and Director, Virginia Tech - Advanced Research Institute


Biography

Saifur Rahman (Fellow — IEEE) is the director of the Advanced Research Institute at Virginia Tech where he is the Joseph Loring Professor of electrical and computer engineering. He also directs the Center for Energy and the Global Environment at the university. He has served as the vice president of the IEEE Power & Energy Society and a member of its Governing Board from 2009 to 2013. He is a member-at-large of the IEEE-USA Energy Policy Committee. He is the founding editor-in-chief of the IEEE Electrification Magazine. Professor Rahman served as the chair of the US National Science Foundation Advisory Committee for International Science and Engineering from 2010 to 2013. Between 1996 and 1999 he served as a program director in engineering at NSF. In 2006 he served as the vice president of the IEEE Publications Board, and a member of the IEEE Board of Governors. He is a distinguished lecturer of IEEE PES, and has published in the areas of smart grid, conventional and renewable energy systems, load forecasting, uncertainty evaluation and infrastructure planning.

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Pipattanasomporn, Manisa

Associate Professor, Virginia Tech - Advanced Research Institute


Biography

Manisa Pipattanasomporn received a B.S. degree from the Electrical Engineering Department, Chulalongkorn University, Thailand in 1999, the M.S. degree in energy economics and planning from Asian Institute of Technology (AIT), Thailand, in 2001, and her Ph.D. degree in electrical engineering from Virginia Polytechnic Institute and State University (Virginia Tech), in 2004. She joined Virginia Tech’s Department of Electrical and Computer Engineering as an Assistant Professor in 2006. She manages multiple research grants from the U.S. National Science Foundation, the U.S. Department of Defense, and the U.S. Department of Energy, on research topics related to smart grid, microgrid, energy efficiency, load control, renewable energy, and electric vehicles. Her research interests include renewable energy systems, energy efficiency, distributed energy resources, and the smart grid.

A Home Energy Management System for Demand Response Applications

Abstract

A Home Energy Management (HEM) system plays a crucial role in realizing residential Demand Response (DR) programs in the smart grid environment. It provides a homeowner the ability to automatically perform smart load controls based on utility signals, customer’s preference and load priority. This paper presents the hardware demonstration of the proposed HEM system for managing end-use appliances. The HEM’s communication time delay to perform load control is also analyzed.

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Kuzlu, Murat

Research Associate, Virginia Tech - Advanced Research Institute


Biography

Murat Kuzlu received his B.Sc., M.Sc., and Ph.D. degrees in electronics and telecommunications engineering from Kocaeli University, Turkey, in 2001, 2004, and 2010, respectively. He joined the Advanced Research Institute, Virginia Polytechnic Institute and State University, Arlington, in 2011. From 2005 to 2006, he worked as a Global Network Product Support Engineer at Nortel Networks, Turkey. In 2006, he joined the Energy Institute of TUBITAK-MAM (Scientific and Technological Research Council of Turkey—The Marmara Research Center), where he worked as a Senior Researcher at the Power Electronic Technologies Department. His research interests include smart grid, demand response, smart metering systems (AMR, AMI, AMM), wireless communication, and embedded systems.

Assessment of Communication Technologies and Network Requirements for Major Smart Grid Applications

Abstract

Our current electric power grid was built over 100 years ago based on simple demand and supply requirements. With emerging technologies, availability of small-scale distributed energy sources and higher customer expectations, two-way information flow, communication architecture, as well as smart sensing and metering technologies are being incorporated into the current power grid. Despite such a widespread deployment, it is still not clear which communication technology solutions are best fit to support grid applications. This is because different smart grid applications have different network requirements – in terms of data payloads, sampling rates, latency and reliability. The objective of this paper is to compare different communication technologies and assess their suitability for deployment to serve various smart grid applications, ranging from those used in a Home Area Network (HAN), Neighborhood Area Network (NAN) and Wide-Area Network (WAN). Both wired and wireless communication technologies are compared in terms of their data rates and coverage ranges. Comprehensive assessment is performed to evaluate suitability of different communication technologies for use to enable different smart grid applications based on specific network requirements.

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Srivastava, Anurag

Assistant Professor, Washington State University


Biography

Anurag K. Srivastava is working as Assistant Professor of electric power engineering and director of Smart Grid Demonstration and Research Investigation Lab (SGDRIL) within Energy System Innovation Center (ESIC) at Washington State University since August 2010. He received his Ph.D. degree in Electrical Engineering from the Illinois Institute of Technology, Chicago, USA in 2005. In the past, he worked as Assistant Research Professor at Mississippi State University during 2005-2010, as Senior Research Associate at the Indian Institute of Technology, Kanpur, India and as Research Fellow at Asian Institute of Technology, Bangkok, Thailand. His research interest includes power system operation and control using smart grid data. Dr. Srivastava is a senior member of the IEEE, past-chair of the IEEE PES career promotion subcommittee, chair of the IEEE PES student activities and co-chair of the microgrid working group within IEEE power and energy society generation and storage subcommittee. He is also co-chair of the IEEE synchrophasor conformity assessment committee. He is the recipient of the best paper award form the IEEE industry application society and is working closely with number of electric power companies. Dr. Srivastava is an associate editor of the IEEE transactions on smart grid, IEEE distinguished lecturer and author of more than hundred technical publications including a book on power system security.

Modeling, Simulation and Analysis of Cyber-Power Systems

Abstract

The major part of the electric grid modernization efforts includes utilizing a number of advanced computing, information, networking and measurement technologies. With these increasing cyber components, controlled synergy between heterogeneous physical power system and cyber components is required to meet the enhanced requirement of resiliency, security, and reliability. It is necessary to understand the complex relationship between cyber and physical domains, and potential impacts on the power grid due to cyber events. In order to understand this coupling, cyber physical test bed can help to model and simulate the smart grid with sufficient detail as required. In this work, the challenges associated with the development of cyber-power test bed are presented. The integration of Real Time Digital Simulator (RTDS) and Network Simulator 3 (NS3) to realize a real time cyber-power test bed is discussed with the implementation for number of applications. These applications include cyber-physical security analysis, reconfiguration implementation for microgrid, and failure diagnosis and prognosis for cyber-power system.

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Etemadi, Amir

Assistant Professor, George Washington University


Biography

Amir H. Etemadi received his Ph.D. degree in Electrical Engineering from the Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada in 2012 and his M.Sc. and B.Sc degrees from Sharif University of Technology and University of Tehran, Tehran, Iran. He is currently working as an Assistant Professor at The George Washington University, where he is developing he Smart power and Energy Lab. He has worked as Research Assistant and Teaching Assistant at the University of Toronto, Toronto, Canada. Dr. Etemadi is a member of IEEE, IEEE Power and Energy Society (PES), and an active member of several PES technical committees.His research interests include smart grid/microgrid control and protection; microgrid modeling, real-time simulation and control; and the integration of distributed energy resources.

Large-scale Integration of Distributed Energy Resources: Control, Protection, and Real-time Simulation of Microgrids

Abstract

Technical and economical viability of the distributed energy resource (DER) technologies for distribution voltage class applications have resulted in the rapid deployment of DER units in distribution systems. The interconnection of DER units in the absence of appropriate control, protection, and power management can create various problems. This talk presents a control strategy that enables seamless integration of DER units, an augmented protection algorithm to protect the DER units in case of a short circuit in the microgrid, and the performance of the controller in enabling a smooth transition between grid-connected and islanded modes of microgrid operation. In addition to conducting offline simulation studies, the control strategy is evaluated using a hardware-in-the-loop real-time simulation setup consisting of Real-Time Digital Simulator (RTDS) and National Instrument real-time cntrol platforms (NI-cRIOs). This setup and the obtained results will be discussed briefly as well.

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Gao, Shan

Vice Dean of Electrical and Engineering, Southeast University


Biography

Shan Gao received his Ph.D from Southeast University, Nanjing, China in 2000. He is presently an Associate Professor in the School of Electrical Engineering at Southeast University. He is also the vice dean of the School of Electrical Engineering in charge of education affairs for graduate students. His current research includes renewable energy integration, distributed energy resources, demand response, and power system planning method.


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Tang, Yi

Associate Professor, Southeast University


Biography

Yi Tang graduated from Harbin Institute of Technology with a PhD in Electrical Engineering. He is now working for Southeast University as an associate professor, member of IEEE and CSEE (Chinese Society of Electrical Engineering). In the past three years, he has hosted or taken part in the following projects: 11th Five Years Key Programs for Science and Technology Development of China, 12th Five Years Key Programs for Science and Technology Development of China, National Key Basic Research Program, National High-Tech Research and Development Program of China, National Natural Science Foundation of China.


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Kang, Chongqing

Professor, Tsinghua University


Biography

Chongqing Kang is full professor of electrical engineering in Tsinghua University. His research interest focused on power system planning, power system operation, renewable energy, low carbon electricity technology and load forecasting. He has been the PI for 7 grants supported by NSFC, in which 3 of them were supported to collaboratiive R&D with UK(Royal Society), South Korea(NRF-National Research Foundation) and United States(TAMU). He has been on the editorial board of 5 international journals including IEEE Transactions on Power Systems and Electric Power Systems Research and 4 Chinese journals indexed by EI. He got National Science Fund for Distinguished Young Scholars. He was supported by Fok Ying Tung foundation and enrolled in Program for New Century Excellent Talents in University by Ministry of Education. He was a visiting scholar in Cambridge University during 2007-2008. He has published 3 monographs as the first author. He published over 200 academic papers. His papers have been cited over 4400 times and two of them were titled top 100 most influential papers in China in 2008 and 2012 respectively. In 2012 he published a paper in Scientific Reports by Nature Publishing Group. He is the member of two special committees and the senior member of IEEE and CSEE. He is a Fellow of IET.

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Xin, Huanhai

Associate Professor, Zhejiang University


Biography

Huanhai Xin was born in Jiangxi, China in 1981. He has been with the faculty, currently an associate professor in the department of Electrical Engineering, Zhejiang University, China, after he obtained the Ph.D. degree from the same department in June 2007. He was a post-doctor in the EECS department of the University of Central Florida from June 2009 to July 2010. His research interests include power system stability analysis, and renewable energy.



Cooperative Control Algorithm and Its Communication Optimization for Geographically Distributed Renewable Energy Sources in Smart Grids

Abstract

We will present a distributed control algorithm that regulates the power outputs of multiple dispersed energy storage systems or renewable energy sources, which can be used to provide desirable services for power systems, such as renewable generation output smoothing and secondary control. This kind of algorithm is based on the cooperative control principle of network control theory and it satisfies both the power balance requirement of power systems and the fair utilization among the renewable energy sources. The most distinct feature of the algorithm is that each source only requires the information from its neighbors through some local communication networks (CN). In addition, to improve the robustness of the CN among the renewable energy sources, optimization models are formulated to design the so-called ‘N-1’ redundant network, while considering both economic issues and convergence rate.

In addition, we will present some fundamental problems related to the application of distributed algorithm in smart grids, such as the distributed algorithm for the calculation of the total output of the geographically distributed units.

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Yan, Zheng

Professor of Electrical Engineering, Shanghai Jiao Tong University


Biography

Zheng Yan is currently the Chairman of Department of Electrical Engineering. He teaches and conducts research in the areas of optimal operation of power systems, power system dynamics, electricity markets, smart grids. Professor Yan has published more than 100 journal articles, books, and book chapters, and has been principal investigator or co-principal investigator on research grants totaling more than RMB 12 million (US$2 million) in the past 5 years. There are three basic, interrelated thrusts to Professor Yan's research program. The first concerns power system secure and economic operation. The second considers issues of electricity market behavior under risk and uncertainty. The third revolves around the impacts of cyber-physical systems on modern power system operation.



Technology-based Evaluation for Smart Grids

Abstract

By contrast to traditional power grid, the intelligence is one of the most significant features and is the core function of smart grids. Apparently, smart grid involves comprehensive engineering aspects, which requires a long construction period and intensive investments with many technical difficulties. As an increasingly important means to improve the economic and social benefits for electric utilities as well as the whole society in the large, it is a significant task to evaluate the construction effect of smart grid and the effectiveness of the adopted intelligent technologies. This presentation describes the application of C-D production function to assess the technological progress, with illustrated examples from China smart grid demonstration projects.

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Ni, Ming

Special Expert, State Grid Corporation of China


Biography

Ming Ni received the degrees of B.S., and Ph.D. in electrical engineering from Southeast University, Nanjing, China, in 1991, and 1996 respectively. He worked in Southeast University as lecture, and then, associate professor from 1996 to 1999. During that time, he has also been a visiting scholar in Swiss Federal Institute of Technology in Zurich for one year. After working in Iowa State University as post-doctor researcher from 1999 through 2002, he became an ATC engineer in MAIN (Mid-American Interconnected Network Inc.). He joined MISO (Midwest Independent System Operator) as senior engineer in 2003. In MISO, he took increased responsibilities (technical manager in 2007, manager in 2008). He returned to NARI Group (State Grid EPRI), China, in 2012 as a Special Expert of State Grid Corporation of China and a recipient of “China Recruitment Program of Global Experts”. His fields of interests include power system planning, power system analysis, power system control, electricity market, ICT (information-communication technology) in power system, etc. He is a senior member of IEEE, and a profession engineer of State Ohio.

A UHV Grid Security and Stability Defense System: Considering the Risk of Power System Communication

Abstract

UHV AC and DC interconnection will become the foundation of China's future smart grid. Due to the wide spread of interconnected regions, the stability of UHV grid highly depends on the communication system's reliability and real time performance. However, the communication system's failure, such as interruption, latency and bit error, are inevitable. This presentation will introduce the UHV grid security and stability defense system (SSDS) and its requirement for communication first. Then it will show the impact of communication failures on SSDS, and their consequences on power system stability.

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Yong, Taiyou

Chief Scientist of Grid Operations, Department of Power System Automation, China Electric Power Research Institute


Biography

Taiyou Yong (Senior Member — IEEE) received his Bachelor and Master degrees from Tsinghua University, China in 1991 and 1995, Ph.D. degree from University of Wisconsin-Madison, USA in 2001. He had worked and consulted with ABB, California ISO and EPRI for more than 15 years. He was recruited specially as an expert in power system operations by China Electric Power Research Institute through the "1000 Talents" program in 2013. Now he is the chief scientist of system operations in the department of power system automation. His research interests include electricity market operations, power system operations, renewable integration, demand response and other emerging smart grid technologies.

An Interactive Real Time Control Scheme for the Future Grid Operation

Abstract

The high penetration of renewable generation raises great concerns in grid operation on whether system will have sufficient flexibility for balancing the intermittent variation of renewable generation. With the development of smart grid, technologies like demand response, distribution generation, electric vehicle, and energy storage become more popular. It is foreseen that with the increasing participation of these flexible load resources and high penetration of renewable generation, the system operations of the future interconnected power grid will become more complicated.

In this presentation, we discuss the system operational challenges, analyses the potentials of load flexibility, then proposes a multi-agent system control scheme for the real time operation to balance the system supply and demand. An interactive leading control process is introduced to lead the flexible resources ramping with a sequence of advisory dispatches, reduce the balancing needs from the frequency control generators.

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Ci-wei, Gao

Professor, Southeast University


Biography

Gao Ciwei received his B.S. degree from department of electrical engineering, North China Electric Power University (NCEPU), China in 1999, the M.S. degree in electrical engineering from Wuhan University, China, in 2002 and his Ph.D. degree in electrical engineering from Shanghai Jiaotong University, China in 2007 and Politecnico di Torino, Italy in 2006 respectively under a joint Ph.D. education program. In 2006 he worked one year as a senior researcher in Politecnico di Torino, Italy engaging in a joint research project with Joint Research Center of European Union (Ispra, Italy). In 2007, he joined the faculty of school of electrical engineering, Southeast University, China. His research interests include Grid integration of EVs, demand response, power planning and electricity market.

Framework of Air Conditioning Load Modeling Research

Abstract

The load of air-conditioning (AC) plays a very important role in forming the peak load during the summer time in China. The air conditioning load accounts for 1/3 or even half of the total load in some big city like Shanghai and Beijing. While the building where the air conditioner is mounted in fact is able to store thermal energy, thus provides huge potential for regulating AC load. This potential can be exploited by power system dispatch through applying proper control strategy.

We studied the thermal dynamic model of air-conditioning unit, based on which, the models of power dispatch considering the AC load regulation are proposed. Two methods are developed for AC load dispatch and control. One is with the day ahead power scheduling, a bi-level optimal dispatch is proposed with the participation of the load aggregator, who acts as an AC resource collector and the load is regulated with edifferent settings of duty cycle. The other is with the AC load characterzied by an energy storage model and the AC load can be regulated as operating a normal electric energy storage element like battery.

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Feng, Xue

Deputy Manager, Power System Stability Control Department, State Grid Electric Power Research Institute


Biography

Xue Feng received his B.Eng. degree from Shanghai Jiaotong University in 1992, M.Eng. degree from Nanjing Automation Research Institute in 1998, and Ph.D. degree from the University of Bath in 2008. He is now working with the State Grid Electric Power Research Institute (SGEPRI) and is the Deputy Manager of Power System Stability Control Department of SGEPRI. His major research field is focused on the analysis and control of power system stability.

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Xue-liang, Huang

Professor of Electric Engineering President of College of Electrical Engineering, Southeast University


Biography

Huang Xue-liang 1969.10-), the current president of College of Electrical Engineering, Southeast University. Professor of Electric Engineering, Doctoral Tutor. Director of Jiangsu Province Smart Grid Technology and Equipment Key Laboratory. Vice-director and Secretary-general of Jiangsu Province Electro technical Society. More than 40 research projects have been chaired in recent 5 years. He accessed 1 National High-tech R&D Program of China (863 Program), other 7 national projects, 7 provincial and ministerial projects, 1 international cooperation project, and other 21 horizontal projects. In recent 5 years, he has published 75 papers, 10 papers indexed by SCI and more than 50 indexed by EI. He accessed to the Jiangsu Province as a target of young and middle-aged academic leaders. He won the Teaching Achievement first prize and Provincial Teaching Achievement second prize in 2008 and 2009 respectively. He gained funding of Jiangsu Six Talents Summit Forum in 2010. 1 work won Jiangsu scientific and technological progress second prize, one got the ministry's third prize of environmental protection science and technology, one work won the d prize of science and technology.

Wireless Charging Technology of Electric Vehicle

Abstract

Reasons to develop wireless charging technologyWays to realize wireless charging Key technology to be explored and realizedMajor facilities related to wireless charging Demonstration platform of Southeast University.

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