ACPEE Speakers

ACPEE 2020 Speakers

Prof. Joe H. Chow (Keynote Speaker)

IEEE Fellow

National Acadamy of Engineering

Rensselaer Polytechnic Institute, USA


Keynote Lecture: Enabling Renewable Resource Control in Power Systems with High Renewable Penetration (Learn More)

Abstract: This talk will discuss the need of additional control when power systems are operating with over 50% of converter-based renewable generation. Traditional synchronous generator controls are set to handle transient, voltage, damping, and frequency stability issues arising from contingencies. With the anticipated retirement of many steam units and replacement by increased penetration of renewable resources, the total system inertia and synchronizing torque will be decreased, affecting power system stability properties and increasing the likelihood of cascading blackouts.
The focus of this talk is to discuss approaches to enable more responsive control of renewable resources to not only recover, but also improve the system stability properties such that system reliability can be maintained under high renewable penetration. One of the added benefits is that with improved control of renewable resources, additional power transfer may be achieved without building new transmission system infrastructure.

Biography: Joe Chow received his BS degrees in EE and Math from the University of Minnesota, and his MS and PhD degrees from the University of Illinois, Urbana-Champaign. He joined the General Electric power system business in Schenectady in 1978 and Rensselaer Polytechnic Institute in 1987. He is currently Institute Professor of Electrical, Computer, and Systems Engineering and the RPI Campus Director of the NSF/DOE CURENT ERC. His research interests include power system dynamics and control, synchrophasor measurement, and control of renewable resources.
He has published over 250 journal and conference papers and several textbooks and monographs on control and power systems. He is a fellow of IEEE and a past recipient of the Donald Eckman Award from the American Automatic Control Council, the Control Systems Technology Award from the IEEE Control Systems Society, and the Charles Concordia Power System Engineering Award from the IEEE Power and Energy Society. He is a member of the US National Academy of Engineering.

Dean Sharafi ( Keynote Speaker)

Group Manager - System Management
Australian Energy Market Operator (AEMO), Australia


Keynote Lecture: Industry 4.0 and the Energy Transition – How Can Application of Big Data, Analytics and Advanced Communication Support the Power Industry

Abstract: Many countries around the world are experiencing a rapid transition in their energy systems. This has come about by increasing levels of renewable energy in the energy supply mix. A smart energy system is required to realise the full benefit of renewable energy resources and turn this into an opportunity to innovate the grid and the interactions of consumers and producers of energy. Such a smart energy system will mean a shifting paradigm at all levels of production, consumption and distribution of the energy from the current low-intelligence/high-asset business models to high-intelligence, data intense, diverse asset portfolio business models equipped with modern grid operational systems and tools. The development of smart grid and smart meters or devices that can communicate and control the behind-the-meters’ assets using digitisation and data science can change the way energy is generated and used in the energy supply-demand equation. This talk will focus on the opportunities that Big Data, advanced analytics and communication technology can bring about to the power industry.

Biography: Dean Sharafi is heading System Management, the operator of South-West Interconnected System, Australian Energy Market Operator (AEMO)in Australia. Dean holds a degree in Applied Physics, a degree in Electrical Engineering and a degree in Business Management. He has over 25 years of experience in power system engineering which includes Power System Protection, High Voltage Systems, Asset Management and Power System and Electricity Market Operation.

He is a member of Australian Institute of Management, a Member of Engineers Australia and a senior member the IEEE. Dean has been actively involved with IEEE Power and Energy Society initiatives and Cigre Working Groups over the last decade. Dean is a member of the Governing Board of the IEEE PES representing Region 10.


Prof. Wenpeng Luan (Keynote Speaker)

Tianjin University, China

Specially Chief Expert - State Grid Smart Grid Research Institute



Keynote Lecture: IoT Solutuon for Distribution Network Operation

Abstract: Low voltage distribution network is facing more challenges such as increasing high penetration of distributed generations, more electric vehicle connection and higher customer power reliability requirements.  In the last several years,  SGCC innovatively defined and proposed Distribution Internet of Things (D-IoT) concept and solution architecture for distribution system operations. The solution combines new generation information technologies such as cloud computing, edge computing, big data, Internet of Things (IoT), Mobile Internet and artificial intelligence, and integrates them with distribution network operation.  This presentation will give an overview of the IoT solutuon architecture in supporting distribution system operations and its key functional components include smart transformer terminal, which is a corner stone device in the solution. Implementation status is described and main use cases are presented.

Biography: Wenpeng Luan received the B.Sc. degree from Tsinghua University, Beijing, China, in 1986, the M.Sc. degree from Tianjin University, Tianjin, China, in 1989, and Ph.D. degree from Strathclyde University, Glasgow, UK, in 1999, all in electrical engineering.
He has extensive academic and industrial experience in power system analysis, power system planning, smart grid applications, and distributed generation integrations. He worked with China Electric Power Research Institute as Chief Expert between Jan 2013 to March 2019. After that he works as Professor in the Institute of Electrical and Information Engineering, Tianjin University. His special fields of interest include smart sensing, data analytics, distribution system analysis, renewable energy resource integration, and utility advanced applications.

He is a member of CIGRE, a senior member of IEEE, also is a Professional Engineer registered at the Association of Professional Engineers and Geoscientists of British Columbia, Canada. Also, he is the Secretary of IEC SC8B Decentralized Electrical Energy Systems, Chair for IEEE WG P2030.9 Recommended Practice for the Planning and Design of the Microgrid.

Prof. Qi Huang (Keynote Speaker)

Chairperson of University Council-School of Mechanical and Electrical Engineering

University of Electronic Science and Technology of China, China



Keynote Lecture: Wide Area Measurement Based Control of Large Scale Power Network Considering Multiple Time Delays

Biography: Qi Huang  received his BS degree in Electrical Engineering from Fuzhou University in 1996, MS degree from Tsinghua University in 1999, and Ph.D degree from Arizona State University in 2003.

He is currently a professor at University of Electronics Science and Technology of China (UESTC), and the director of Sichuan State Provincial Lab of Power System Wide-area Measurement and Control. He is a member of IEEE since 1999. His current research and academic interests include power system instrumentation, power system monitoring and control, and power system wide-area measurement and control.







Prof. Guoqian Chen (Keynote Speaker)

Peking University, China









Keynote Lecture: The Striking Nonrenewable Energy Cost and Carbon Emissions by Solar Power: Systems Process Analysis for a Pilot Solar Power Tower Plant in China

Abstract: Solar power as an alternative to coal-fired generation is generally regarded as free from fossil energy usage and carbon emissions. This seems to be true from an onsite perspective. By penetrating the nonrenewable energy use and carbon emissions induced by solar power from a systems perspective, the reality may be somewhat different. By a case work of a pilot solar power tower plant in China, this study has investigated the nonrenewable energy cost and carbon emission induced by the input items throughout the plant’s lifetime. A systems process method as a combination of process analysis and intensity database supported by systems input-output analysis is used. An extensive inventory is established that covers the components of the pilot plant and treats them as typical products of the economy. The striking amount of nonrenewable energy and carbon emissions induced are revealed, which are respectively around half and 60% of that by coal-fired power generation for per unit of electricity generated. The result is also compared to that of solar photovoltaic systems, wind farms, and hydropower. The results are supportive for providing a new world view for penetrating the renewability and carbon-neutrality of solar power.

Biography: Guoqian Chen is a professor of systems ecology and sustainability science at Peking University, China, and a Distinguished Adjunct Professor in the Center of Research Excellence of Renewable Energy and Power Systems at King Abdullaziz University, Saudi Arabia. He has a wide spectrum of research interests including climate thermodynamics, computational fluid dynamics, heat and mass transfer, renewable energy and resources, systems ecological modelling, ecological economics, global and regional sustainability studies, systems input-output technique. With distinguished contributions as marked by around 300 publications in prestigious journals, Prof. Chen has won a series of awards and honors, including Elsevier Atlas Award, Thomson Reuters Highly Cited Researchers Award, Thomson Reuters China Citation Laureate. He served as editor, associate editor or advisory member for 50 international journals.

Prof. Juan Yu ( Invited Speaker)

Chairwoman-Task Force on Composite Reliability Assessment of IEEE PES

Chairwoman - IEEE PES (Chongqing-Chapter)

Chongqing University, China














Invited Speech: Integrated Energy Systems: Reliability Evaluation and Deep Neural Network Algorithm

Abstract:The integrated electrical, natural gas and district heating system is an effective approach to promote renewable energy consumption, improve energy utilization efficiency and achieve energy saving. However, the uncertainties of the integrated energy systems are increasing and intensifying to a great extent. Therefore, it is crucial to evaluate the reliability of the integrated energy systems for its planning and operation. In this talk, a reliability evaluation method of the integrated electrical and natural-gas systems with power-to-gas will be given. In this method, an energy flow model based on power-to-gas device and gas turbine, an optimization model of electric/gas/heat load shedding considering wind power curtailment, and a set of reliability indexes are proposed. Based on the proposed models and indexes, the reliability evaluation method is proposed considering the random factors of renewable sources, electric/gas/heat loads and component failures. Furthermore, a reliability evaluation method for the integrated electrical, natural gas and district heating systems with STCHP plants and electric boilers will be introduced. In this method, an optimization model is achieved to minimize the integrated wind, solar and load curtailments by controlling the characteristics of STCHP plants and electric boilers. The risk levels of wind, solar and load curtailments are effectively assessed and considered in the proposed method. Finally, a set of reliability indices are proposed to quantify the severity of wind, solar and load curtailments in the systems. The results of the methods indicate that power-to-gas, STCHP plants, and electric boilers can reduce the wind and solar curtailments and enable more renewable energy to be accessed. However, reliability evaluation of the integrated energy systems remains challenging because of enormous times required in computations and data processing issues that always exit in uncertainty systems as an inherent feature. Deep learning and big data technologies provide a promising way to conquer this challenge. In this talk, the deep neural network algorithms based on SDAE, CNN and Spark big data platform will be presented, ensuring the reliability evaluation with high accuracy and fast calculating speed. The deep neural network algorithms focus on feature restriction, network training and results evaluation, considering the relationship between continuous or discrete inputs and outputs of the reliability evaluation, which can fast map the output according to the input.

Biography: Yu Juan (1980-), female, a full professor at Chongqing University in China, the deputy director of the Electric Power and Energy Reliability Research Center of Chongqing University. Her primary areas include the risk assessment and control of electric power and energy systems, deep learning and big data technology. She is the team leader or principal investigator of more than 40 scientific research and engineering projects, including 2 projects sponsored by the National Natural Science Foundation, 1 sub-project of the National Key R&D Program, and 5 provincial and ministerial projects. She has published over 80 high-level papers and held 27 Chinese invention patents and 2 American patents. She was the recipient of the first prize of China Electric Power Science and Technology Award, the first prize of Chongqing Science and Technology Award, the second prize of Science and Technology Award of the Ministry of Education, and the nomination prize of 100 Excellent Doctoral Dissertations in China. She currently serves as the Chairwoman of the Task Force on Composite Reliability Assessment of IEEE PES and the Chairwoman of IEEE PES Chongqing chapter, and has involved in other international academic organizations and conferences as a committee member or general secretary for years. She is a senior member of IEEE.


Prof. Zhifang Yang (Invited Speaker)

Chongqing University, China




Invited Speech: Linear Power System Optimization Model and Price Analysis

Abstract: In power industries, it is a common practice to use the linear power flow models in power system dispatch because of the desired computational efficiency and guaranteed convergence. As a representative, the DC power flow model is widely used, which only approximates the active power. However, as the evolution of power grid, the coupling between active and reactive power has become much tighter. In this report, we will introduce a novel linear power flow model based on variable space transformation. The active and reactive power is expressed as a linear function of state variables with minimized linearization error. The application of this linear power flow model in OPF calculation is validated. Furthermore, the price signal obtained from the linear power system optimization model is analyzed. The price formulation is derived. The relationship between active and reactive prices is investigated. The proposed optimization model and pricing methods can be used in both transmission and distribution power grids.

Biography: Zhifang Yang received his Ph.D. degree in electrical engineering from Tsinghua University in 2018. He currently works as an assistant professor at Chongqing University. His research interests include power system optimization and economic analysis. Zhifang Yang has published more than 30 peer reviewed papers in journals and conferences. He is the principle investigator of projects from the National Natural Science Foundation of China, State Grid Corp. of China, and other companies. He serves as the vice-chair of Task Force on Composite Reliability Assessment of IEEE PES, secretary of IEEE PES Chongqing chapter and actively participates in other international academic organizations and conferences.


Chairman Ian Porter (Invited Speaker)

Sustainable Energy Now Inc., Australia


Invited Speech: Hydrogen Energy Storage Solution for large scale long-duration deployment

Abstract: The future electric systems will incorporate wind, solar PV, and storage technologies to provide efficient and on-demand supply of electric power. Hydrogen (H 2 ) has been recognised as the key to deeply de-carbonize energy use in some countries including the US and Australia. If our society relies on interment wind and solar for carbon-free electricity, the storage must be able to remove the intermittency. Otherwise, the electricity grid will become unstable. Most “Energy Storage” facilities store power and deploy systems that can inject power for relatively short periods of time. The challenge is how to provide energy from storage for a long duration of time and design systems that can remove intermittency from Wind and Solar Farms. This talk will present a new technology and explain how these objectives can be met.

Biography: Ian Porter has a broad based 48 years of engineering experience in the oil, gas, nuclear and conventional power industries in roles ranging from R&D, project management, business development and over the last 20 years has concentrated on energy technology commercialisation with all of his current activities focused on renewable energy. He is also Chairman of Sustainable Energy Now, a Western Australian organisation specialising in modelling the transitional impacts and requirements of state and national electricity systems in the transformation to renewable power delivery. He has strong belief and confidence that Australia can play a major role in the future renewables economy and i s deeply committed to ensuring that happens.

Dr. Lijie Ding (Invited Speaker)

State Grid Sichuan Electric Power Research Institute, China


Invited Speech: Problems and Challenges of Sichuan Power Grid

Abstract:  Sichuan power grid is of rich hydropower resources, and its power grid scale ranks in the forefront of provincial power grids in China. It is connected with East China, Central China and Northwest China power grids through "Four DC and Eight AC" transmission projects as a hub power grid. Sichuan power grid also presents the characteristics of long-distance and large capacity hydropower transmission from remote power center to the load center. In the recent years, with the continuous planning and commissioning of a series of HVDC transmission projects and the Asynchronous networking project, some problems such as ultra-low frequency oscillation, electronization and weak connection of local power grids in Sichuan power grid have become increasingly prominent. This presentation gives an overview of problems and challenges of Sichuan power grid. The main solutions are described and the future research directions are pointed out.

Biography: Lijie Ding received the Ph.D. degree in Electrical Engineering from Zhejiang University, Hangzhou, China, in 2008. Now he is a professorate senior engineer, the chief engineer of the State Grid Sichuan Electric Power Research Institute and an engineering expert of State Grid Corporation of China. He has extensive industrial experience in power grid construction, operation, management and scientific research. He has presided over the system commissioning of "Sichuan-Tibet networking project" and participated in the commissioning of ±800kV "Jinping to Suzhou HVDC" and "Yibin to Jinhua HVDC" transmission projects. His achievements have been awarded by Sichuan Province, State Grid Corporation and so on. He has published more than 20 SCI/EI scientific papers.




ACPEE Past Speakers

Prof. Yi Ding

Zhejiang University, China


Prof. Guojie Li

Shanghai Jiao Tong University, China


Dr. Bo Zhao

State Grid Zhejiang Electric Power Company, China


Prof. Keyou Wang

Shanghai Jiao Tong University, China


Dr. Daming Zhang

University of New South Wales, Australia



Prof. Seiji Hashimoto

Gunma University, Japan


Prof. Jumpei Baba

University of Tokyo, Japan


Prof. Tek-Tjing Lie

Auckland University of Technology, New Zealand


Prof. Ryuichi Yokoyam

Waseda University, Japan


Dr. Nopbhorn Leeprechanon
Thammasat University, Thailand



Prof. Zhe Chen
Aalborg University, Denmark


Dr. Yaser Qudaih
American University of Madaba - Jordan




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