Tutorial & Workshops

• Tutorial
• Workshop 1
• Workshop 2
• Workshop 3

Tutorial & Workshops

Tutorial: Robust PID Control: Unified Model Reference Approach
September 11, 13:00-17:30

• Main Organizer:

  Ramon Vilanova Arbos, School of Engineering Universitat Autonoma Barcelona, Spain

• Co-organizers:

  Takao Sato, University of Hyogo, Japan
  Marian Barbu, Dunarea de Jos University, Rumania

• Statement of Objectives:

  At the core of process control we find an indispensable tool: the Proportional-Integrative-Derivative, PID, controller. Although many changes and innovations have been introduced since its early development during the 1930s and '40s, the basic idea behind the PID controller still applies successfully in practice. it seems that PID control is here to stay as the preferred control algorithm, at least at the bottom layer. In general, the tuning of the controller must be done taking into account different objectives, such as output performance, robustness, input usage and noise sensitivity, etc. With this context in mind, the basic aim of the proposed talks is to give some new insights into the tuning problem by considering a unifying approach to take care of the most relevant conflicting objectives, namely the robustness/performance and servo/regulator trade-offs.

• Intended audience:

  The tutorial is specially addressed to researchers and PhD students interested in the practical approach to PID control. With emphasis on the ones that aim at process control applications and to develop practical approaches for PID controller tuning and design.

• Speakers:
  

  Professor Ramon Vilanova Arbos, School of Engineering Universitat Autonoma Barcelona, Spain

  Ramon Vilanova (M'06) received his B.Sc. and Ph.D. degrees in Computer Science from the Universitat Autònoma de Barcelona, Barcelona, Spain, in 1991 and 1996, respectively. He joined the Department of Telecommunications and Systems Engineering, Universitat Autònoma de Barcelona, in 1991, where he is currently a Professor of Technical Studies. His research interests include control of industrial processes with special focus on PID control, the data-driven controller design approach, and control of wastewater treatment plants. He was a Visiting Scholar at the Industrial Control Centre, Strathclyde University, University of Brescia and the University of Costa Rica. He is currently involved in several European projects related to the development of Higher Education in Europe, as well as national research projects on wastewater treatment plant operation and control. He is the author of about 100 papers that have been published in international referred journals and conference proceedings. Prof. Vilanova is a member of IEEE, IFAC and theInternational Society of Automation (ISA).
  

  Professor Takao Sato, University of Hyogo, Japan

  Takao Sato received the B.Eng., M.Eng., and D.Eng. degrees from Okayama University, Japan, in 1997, 1999, and 2002, respectively. He is currently an associate professor in the Graduate School of Engineering at University of Hyogo, Japan. He was a junior fellow at NEDO, Japan. His research interests include PID control, mechanical system, weigh feeder, and multirate control. He is a member of SICE, ISCIE and IEEJ.
  

  Professor Marian Barbu, Dunarea de Jos University, Rumania

  Marian Barbu received the B.E., M.E. and Dr. Eng. degrees in control engineering from “Dunărea de Jos” University of Galaţi, Romania in 2001, 2002 and 2007, respectively. He is currently a full professor at “Dunărea de Jos” University of Galaţi, Romania. He was in 2005 an Young Researcher at Technical University of Crete. He was also a visiting professor in 2016 and 2017 at Universitat Autonoma de Barcelona. His research interests include modelling and control of bioprocesses, robust and intelligent control. He is a member of IFAC T.C. Modelling and Control of Environmental Systems and of IEEE.
• List of topics:
  PID Control: from the scaffold to the stage
  General overview of PID control, putting the light on several aspects related to PI/PID control of several process dynamics. Considerations on tuning aspects and properties are commented as well as aspects of PI/PID control that actually still deserve attraction.
  Robust PID Control and The Model Reference Robust Tuning (MoReRT) approach to PID control
  A general overview of different approaches; from classical ones to more modern conceptions; to consider robustness in PI/PID tuning are first reviewed. Afterwards, the MoReRT formulation, its purpose and conception is presented a) as a general framework for the design of fixed structure controllers and b) how it has been used to approach the tuning of PID controllers.
  PID formulations and process dynamics normalization
  Even this could be presented aside from the MoReRT scenario, it is useful to be presented here before the generation of the tuning rules. In which sense normalization is useful for the reduction of process dynamics parameters and generation of normalized controller parameters. Also different formulations for PID controllers and its relations are presented.
  The MoReRT aproach to PID control : Tuning Rules
  For the different process dynamics, the tuning rules generated by using the MoReRT approach are presented and evaluated. Even different process dynamics are considered, the control system specifications as well as approach to the solution is the same. The resulting tuning rules are presented and frameworks for comparison of PI/PID robust performance presented. The need for tuning rules is also raised.

Program:

• 13:00-13:10
Opening, Tutorial presentation & Remarks
Ramon Vilanova, School of Engineering Universitat Autonoma Barcelona, Spain
• 13:10-14:00
PID Control: from the scaffold to the stage
Ramon Vilanova, School of Engineering Universitat Autonoma Barcelona, Spain
• 14:00-14:30
Robustness and Robustness/Performance tradeoff in PID control
Ramon Vilanova, School of Engineering Universitat Autonoma Barcelona, Spain
• 14:30-15:00
PID formulations and process dynamics normalization
Ramon Vilanova, School of Engineering Universitat Autonoma Barcelona, Spain
• 15:00-15:15 Coffee Break


• 15:15-15:45
Robust PID Control and The Model Reference Robust Tuning (MoReRT) approach to PID control
Marian Barbu, Dunarea de Jos University, Rumania
• 15:45-16:30
The MoReRT aproach to PID control : Tuning Rules
Marian Barbu, Dunarea de Jos University, Rumania
• 16:30-17:20
Discrete-time Design for Digital Implementation
Takao Sato, University of Hyogo, Japan
• 17:20-17:30 Concluding Remarks
Concluding Remarks
Takao Sato, University of Hyogo, Japan

Workshop 1: New Trends in Networked Control
September 11, 14:10-17:30

• Organizer:

  Kunihisa Okano, Okayama University, Japan

• Statement of Objectives:

  In the last two decades, networked control has been one of the most active areas in the study of control systems theory. As well as the research activities, the explosive progress in information and communication technology has also stimulated the study of dynamical systems with communication components. This area now relates a wide range of researches, and hence it might be difficult to grasp an overview of this subject. The objective of this workshop is to introduce recent results and future prospects in networked control. The workshop will consist of four talks: fundamental limitations in networked control, event-triggered control, distributed optimization over multi-agent networks, and quantum communication. Throughout these talks, latest and future trends in networked control will be presented.

• Intended Audience:

  Engineers, researchers, and graduate students who are interested in networked control, distributed systems, and/or communication in dynamical systems.

• Program:
  1. Opening
  2. Fundamental limitations for stabilization of networked control systems
  3. Event-triggered control systems
  4. Break
  5. Distributed optimization over multi-agent networks
  6. Quantum communication
  Fundamental limitations for stabilization of networked control systems
  The use of networks in control systems offers various advantages such as more flexibility in designing the layout and easier maintenance. On the other hand, we have to take account of constraints on information flows arising from the use of networks such as data rate limitations, packet drops, and delays. It is well known that such constraints bring fundamental limitations on stability of feedback systems. This talk will introduce recent results and new challenges in this topic mostly on the effects of data rate limitations.
  Speaker: Kunihisa Okano, Okayama University, Japan
  Kunihisa Okano received his Dr.Eng. degree in computational intelligence and systems science from Tokyo Institute of Technology in 2013. He was a Visiting Scholar at the University of California, Santa Barbara from 2013 to 2016. From April 2016 to September 2016, he was an Assistant Professor at Tokyo University of Science. He is currently an Assistant Professor in the Department of Intelligent Mechanical Systems, Okayama University. His research interests are in networked control systems and interplay between control and communication.
  Event-triggered control systems
  Analysis and synthesis of sampled-data control systems have been extensively studied during last decades. In standard sampled-data control, sensors periodically transmit plant measurements to controllers. However, periodic transmissions may waste energy and network resources. As an alternative control paradigm, event-triggered control, where sensing and actuation are performed only when needed, has been recently developed. This talk provides a brief overview of the elementary results and recent developments of event-triggered control systems.
  Speaker: Masashi Wakaiki, Kobe University, Japan
  Masashi Wakaiki received his Ph.D. degree in informatics from Kyoto University in 2014. He served as a Research Fellow of the Japan Society for the Promotion of Science from 2013 to 2015 and a Visiting Scholar at the University of California, Santa Barbara from 2014 to 2016. He was an Assistant Professor in the Department of Electrical and Electronic Engineering, Chiba University from 2016 to 2017. Since 2017, he has been a Lecturer in the Graduate School of System Informatics, Kobe University. His research interests include time-delay systems and hybrid systems.
  Distributed optimization over multi-agent networks
  Along with the advances in networked control technology, distributed optimization over multi-agent networks has attracted significant attention in a broad area of engineering including sensor networks, signal processing, and machine learning. The early research on distributed computation and optimization dates back to the work by Tsitsiklis, Bertsekas, and Athans in the 1980's. Recently, Nedic and Ozdaglar introduced a framework of a consensus-based subgradient method for distributed convex optimization. Since then, there have been a large number of research articles on the distributed optimization method. This talk will highlight recent advances and future prospects in distributed optimization over multi-agent networks.
  Speaker: Naoki Hayashi, Osaka University, Japan
  Naoki Hayashi received the Ph.D. degree from Osaka University in 2011. He was a Research Assistant at Kyoto University in 2011. He is currently an Assistant Professor at Osaka University. His research interests include cooperative control and distributed optimization.
  Quantum communication
  Recent advances in quantum information technology have been accelerated and now some prototypes of quantum computers and quantum communication are available. The next phase of these technologies is to put them to practical use. To this end, a notion of networked control is beneficial and we show some extensions to the quantum systems in this talk.
  Speaker: Kentaro Ohki, Kyoto University, Japan
  Kentaro Ohki received the Ph.D. degree in information physics and computing from the University of Tokyo in 2011. After serving as a research fellow at the University of Tokyo, he joined the Department of Applied Mathematics and Physics, Graduate School of Informatics, Kyoto University in 2011, where he has been an Assistant Professor. His research interests are in filtering and control theory for open quantum systems.

Workshop 2: Cooperative Control for Energy Management Systems
September 11, 13:00-17:30

• Organizers:

  Fabrizio Dabbene, CNR-IEIIT, Italy
  Yasumasa Fujisaki, Osaka University, Japan

• Abstract

  It is well-known that control systems are playing a prominent role when dealing with the integration of a variety of diverse energy sources, both traditional and renewable. The organizers of this workshop have been involved in a joint collaboration between Italian National Research Council CNR and JST CREST-EMS, aimed at developing novel tools and algorithms for Cooperative Control of Energy Management Systems (COOPS), which is a strategic area for industrial and social applications. The objective of this workshop is to show several novel tools and algorithms for energy management and optimization.

• Intended Audience:
  Engineers, researchers, and graduate students who are interested in cooperative control for energy management systems.
• Program:
  • 13:00-13:05 Welcome and Opening Remarks
  
  
  • 13:05-13:45 Talk 1
  Optimal power flow design from DC approximations to scenario-based methods for dealing with high penetration of renewables: A survey
  Fabrizio Dabbene (CNR-IEIIT, Italy)
  • 13:45-14:25 Talk 2
  Distributed optimization over unbalanced networks
  Izumi Masubuchi (Kobe University, Japan)
  • 14:25-15:05 Talk 3
  Sliding mode strategies for wind turbine and fatigue reduction of a wind farm
  Elisa Capello (Politecnico di Torino, CNR-IEIIT, Italy) and Elisabetta Punta (CNR-IEIIT, Italy)
  • 15:05-15:25 Coffee Break
  
  
  • 15:25-16:05 Talk 4
  Retrofit control of power systems with distributed energy resources
  Takayuki Ishizaki (Tokyo Institute of Technology, Japan)
  • 16:05-16:45 Talk 5
  Distributed OPF with wind/solar energy
  Chiara Ravazzi (CNR-IEIIT, Italy)
  • 16:45-17:25 Talk 6
  Distributed power dispatch with load balancing
  Kenta Hanada (Osaka University, Japan)
  • 17:25-17:30 Concluding Remarks
  Talk 1: Optimal power flow design from DC approximations to scenario-based methods for dealing with high penetration of renewables: A survey
  Over the history of five decades, Optimal Power Flow (OPF) has become one of the most extensively studied problems in power systems. The objective of OPF is to optimize the operation of electric power generation, transmission and distribution networks subjected to various system constraints and control limits. A wide variety of OPF formulations and solution techniques exist. Moreover, the increasing penetration of renewable energy resources, paired with the fact that load can vary significantly, introduce a high degree of uncertainty in the behavior of modern power grids. Given that classical dispatch solutions are "rigid," their performance in such an uncertain environment is in general far from optimal. In this talk, we survey both the conventional OPF methods, together with novel techniques based on convex relaxations. An emphasis is given to recent methods for dealing with uncertain OPF problems.
  Speaker: Fabrizio Dabbene, CNR-IEIIT, Italy

  Fabrizio Dabbene is currently holding a tenured research position at the institute IEIIT of the National Research Council (CNR) of Italy, where he is the coordinator of the Systems, Modeling & Control Group and elected member of the Scientific Council. He has held visiting and research positions at the Department of Electrical Engineering, University of Iowa, at the RAS Institute of Control Science, Moscow and at PennState University, USA. Dr. Dabbene also holds strict collaboration with Politecnico di Torino, where he teaches several courses in Systems and Control, and with Università degli Studi di Torino, where he conducts research on robotics in agriculture. His research interests include robust control and identification of uncertain systems, randomized algorithms for systems and control, convex optimization, social networks analysis and robotics in agriculture. He has been co-organizer of several invited sessions and special courses, and of three Conference Workshops at CDC-00, MSC-08 and MSC-10. He is a recipient of the Outstanding Paper Award from EurAgeng in 2010. He served as Associate Editor for Automatica (2008-2014, and as Chair of the IFAC Technical Committee on Robust Control (2011-2017). Dr. Dabbene is a Senior Member of the IEEE, and he has taken various responsibilities within the IEEE Control Systems Society. He has been an Associate Editor for the IEEE Transactions on Automatic Control (2008-2012), Program Chair for the CACSD Symposium of the 2010 IEEE Multiconference on Systems and Control, Chair of the IEEE Technical Committee on CACSD (2010-2014), member of CEB (2002-2008), IPC member of various IEEE conferences, and member of several CDC Best Student Paper Award Committees. He served as elected member of the IEEE-CSS Board of Governors for the years 2014-2016, and as IEEE-CSS Vice-President for Publication Activities for the years 2015-2016.

  Talk 2: Distributed optimization over unbalanced networks
  A distributed multi-agent optimization protocol is presented for solving a Pareto optimal problem. The protocol only requires local communications between agents to exchange decision variables and the graph representing the communications has to be only strongly connected but does not need to be balanced. This extends the implementability of the protocol to real-world applications, in particular, energy management systems. The protocol is based on exact penalty methods and can handle inequality and equality constraints. The computation is executed without disclosing objective and constraint functions.
  Speaker: Izumi Masubuchi, Kobe University, Japan

  Izumi Masubuchi received his Bachelor's, Master's and Doctoral degrees all in engineering from Osaka University, Toyonaka, Japan, in 1991, 1993 and 1996, respectively. He was a Research Associate of Japan Advanced Institute of Science and Technology, Tatsunokuchi, Japan, and Kobe University, Kobe, Japan. From 2001 to 2011, he was an Associate Professor of Hiroshima University, Higashihiroshima, Japan. Since April 2011, he has been with Graduate School of System Informatics, Kobe University, as an Associate Professor. He was a visiting researcher at Delft Center for Control Systems, Delft University of Technology, Delft, the Netherlands, from 2007 to 2008. His research interests include systems and control theory and robust controller design. He is a member of IEEE, the Society of Instrument and Control Engineering (SICE), the Institute of Systems, Control and Information Engineers and others. He was awarded Takeda Best Paper Prize from SICE in 1995 and the Pioneer Prize from the Control Division of SICE in 2003.

  Talk 3: Sliding mode strategies for wind turbine and fatigue reduction of a wind farm
  The objective of this research is twofold; on the one hand, we want to maximize the captured power of a single turbine, on the other the combination of maximum power and minimum mechanical fatigue for the wind farm. When a single wind turbine is considered, the main control objective is to maximize the captured power, optimizing the efficiency of the turbine, and attenuating the output chattering. This aim is reached by a sliding mode controller, which is robust with respect to uncertainties of both turbine and generator, as well as to electric grid disturbances. The sliding mode controller designs continuous control torque and improves the wind turbine performance by enhancing energy capture and reducing dynamic loads. When wind turbines in a farm are close, interferences among them could lead to additional loads. An optimization problem is proposed, which aims to minimize the fatigue of additional loads among wind turbines and to find reference values for pitch angle and tip speed ratio for each wind turbine in the considered wind farm. Consideration of fatigue constraints could reduce maintenance cost of a wind farm. The performance of the controllers is evaluated for the wind farm, in which each controller makes the corresponding turbine work at the reference point obtained by the optimization procedure.
  Speakers: Elisa Capello, Politecnico di Torino, CNR-IEIIT, Italy and Elisabetta Punta, CNR-IEIIT, Italy

  Elisa Capello is Assistant Professor of flight mechanics at Politecnico di Torino, Department of Mechanical and Aerospace Engineering. She is research associate at the Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni (IEIITI) of the Italian National Research Council (CNR), in the Systems Modeling and Control group of CNR-IEIIT, since 2012. She is a member of The Institute of Electrical and Electronics Engineers, Member (IEEE), Control Systems Society since 2014. She is a member of the IEEE Technical Committee in Aerospace Control since 2016. She is member of the SIDRA, Società Italiana Docenti e Ricercatori in Automatica, since 2017. Author of about sixty articles published in international journals and conferences of the following sectors: aerospace engineering, control, automation and robotics. She is involved in research activities in the following fields: flight mechanics of fixed and rotary wing aircraft, flight simulation, design of human-machine interfaces for robotics, development and testing of unmanned aerial systems, planning and mission control for autonomous systems, design of guidance, control and navigation systems for aircraft and spacecraft, control of wind turbine and wind farm. As part of her research activities, she collaborates with academic institutions, research centers, networks and companies, both in Italy and abroad. Elisa Capello was an International FAI Judge for Helicopter Championship from 2009 to 2015.

  Elisabetta Punta (MSc, Electronic Engineering, 1993, and PhD, Electronic Engineering and Computer Science, 1998, Genoa University, Italy) is a researcher of the National Research Council of Italy (CNR) at the Institute CNR-IEIIT. From 1994 to 2003, she was research fellow at Genoa University. She participated and directed several research projects. She is a member of the Italian Research Unit of the Joint International Lab COOPS, CNR Italy and JST Japan, 2015-2017. Dr. Punta is Senior Member IEEE, member of the IEEE-CSS Technical Committee on Variable Structure and Sliding Mode Control, member of the IPC of the IEEE International VSS Workshop, member of the CEB of the IEEE-CSS, Subject Editor for International Journal of Adaptive Control and Signal Processing and Associate Editor for IMA Journal of Mathematical Control and Information. She is author of more than 100 works published in international journals, books, and proceedings of international conferences. Her research interests include Variable Structure Systems, Sliding Mode Control Theory, Higher Order Sliding Mode Control, Sliding Mode Observers, Nonlinear Control, Nonlinear Observers, Mechanical Systems, Time Delay Systems, Energy Production Systems, Telecommunication Systems, Control and Optimization Methods for Freeways, and Complex Systems.

  Talk 4: Retrofit control of power systems with distributed energy resources
  Retrofit control is an approach to realizing distributed design of decentralized controllers for large-scale network systems, in which the availability of only a local subsystem model is assumed for controller design and the measurability of a local output signal is assumed for controller implementation. The resultant retrofit controller is formed as a cascade interconnection of the local controller and an output rectifier that rectifies an output signal of the subsystem of interest so as to conform to an output signal of the isolated subsystem model while acquiring complementary signals neglected in the local controller design, such as interconnection signals from neighboring subsystems. The efficiency of the retrofit control method is demonstrated through numerical simulation of the IEEJ EAST 30-machine system, a bulk power network model of Tokyo and north east areas in Japan.
  Speaker: Takayuki Ishizaki, Tokyo Institute of Technology, Japan

  Takayuki Ishizaki received the B.Sc., M.Sc., and Ph.D. degrees in engineering from Tokyo Institute of Technology, Tokyo, Japan, in 2008, 2009, and 2012, respectively. He served as a Research Fellow of the Japan Society for the Promotion of Science from April 2011 to October 2012. From June to October 2012, he was a Visiting Researcher at the School of Electrical Engineering, Royal Institute of Technology, Stockholm, Sweden. Since November 2012, he has been with Tokyo Institute of Technology, where he is currently an Assistant Professor at the Department of Systems and Control Engineering. His research interests include the development of network model reduction and its applications, retrofit control and its applications, and electricity market design with distributed energy resources.

  Talk 5: Distributed OPF with wind/solar energy
  A distributed method for the solution of optimal power flow problems in the presence of renewable energy sources is presented. The method builds upon a classical alternating direction method of multipliers (ADMM) algorithm, specifically adapted to cope with the novel scenario-with-certificates formulation introduced as a result of the COOPS research.
  Speaker: Chiara Ravazzi, CNR-IEIIT, Italy

  Chiara Ravazzi obtained the B.Sc. in Mathematics for Engineering Sciences in 2005 and M.Sc. in Mathematical engineering in 2007, both from Politecnico di Torino, Italy. She then received the Ph.D. degree in Mathematics for Engineering Sciences from Politecnico di Torino in 2011. From February 2010 to July 2010 she was a visiting member at the Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge. From 2011 to 2012 she was a research assistant at the Department of Mathematics of Politecnico di Torino. From 2012 to 2016, she was a Post-Doc at the Department of Electronics and Telecommunications of Politecnico di Torino. Since 2017, she is a Researcher of the National Research Council of Italy (CNR) at the Institute CNR-IEIIT, working in the Systems Modeling & Control (SMC) Group.

  Talk 6: Distributed power dispatch with load balancing
  A weighted averaging consensus algorithm over a noisy network is investigated for a distributed power dispatch with load balancing. The communication among dispatching agents is represented as a network which is assumed to be a directed and strongly connected graph. A simple representation of the consensus algorithm is given by using its graph Laplacian. The convergence analysis of the algorithm reveals an explicit relation between the number of iterations and the closeness of the agreement in terms of the characteristic values of the graph Laplacian.
  Speaker: Kenta Hanada, Osaka University, Japan

  Kenta Hanada received his B.S. and M.S. degrees in Maritime Science and Technology, Ph.D. degree in engineering from Kobe University, Kobe, Japan, in 2011, 2013, and 2016, respectively. In 2016, he joined Osaka University, where he is currently a Specially Appointed Assistant Professor (Full time) in Graduate School of Information Science and Technology, Osaka University, Suita, Japan. His research interests include distributed optimization.

Workshop 3: Integrated Design of Energy Management System and Vehicle System
– Joint WS of CREST EMS Suzuki Team and Control Theory Group of SICE
September 11, 13:00-17:30

• Organizers:

  Tatsuya Suzuki, Nagoya University and JST CREST, Japan
  Shinkichi Inagaki, Nagoya University, Japan
  Akihiko Kawashima, Nagoya University, Japan
  Kenji Hirata, Nagaoka University of Technology, Japan

• Abstract:

  Nowadays, our society is facing drastic changes in information, energy, and vehicular technologies. Energy management systems to stabilize the electric quality and to utilize various renewable energy resources innovate the energy technology. Vehicles have been electrified, computerized, and connected via an information network. Integrating energy management systems and vehicle systems is a key to create greater richness and resilience in our future society.

• Intended Audience:

  In this workshop, speakers provide topics about energy management systems and vehicles, and their integration and a future goal are discussed. This WS is jointly organized by CREST EMS Suzuki team, which is composed of several groups, and control theory group of SICE.

• Program:
  1. Opening (organizers)
  2. EV Sharing System and its Additional Function for Distribution Voltage Support
  3. Nonlinear Model Predictive Control for Fuel-Efficient Driving of Vehicles
  4. Integration of Multiple Energy Management Systems Considering Benefits of Owning EVs
  5. Measures and Their Evaluation Environment for Substation Monitoring and Control Systems
  6. Coffee break
  7. Domestic Heat Pump Water Heater Operation to Mitigate Difficulty of Demand and Supply Operation with Large Number of Renewable Energy sources
  8. Impact of EV Charging to Distribution Grid: Analysis and Control
  9. Vehicle Grid Integration HILS for designing Charging Services and Grid Ancillary Services
  EV Sharing System and its Additional Function for Distribution Voltage Support
  This research is focusing on design of one-way EV sharing systems to optimize EV assignment, EV reallocation, and charging/discharging of in-vehicle batteries. As an additional function known as Vehicle-to-Grid (V2G), the system also can provide a service for distribution voltage support by exchanging information.
  Speaker: Akihiko Kawashima, Nagoya university, Japan from CREST EMS Suzuki group & Susuki group
  Akihiko Kawashima received the Ph.D. degree in engineering from Chiba University, Japan, in 2013. He was a Post-Doctoral Researcher from 2013 to 2015, and he has been an Assistant Professor with Nagoya University, Nagoya, Japan. He has participated in a research project of the Core Research for Evolutional Science and Technology, Japan Science and Technology Agency, Tokyo, Japan. His current research interests include combinatorial optimization, computational complexity, and its application to the design of energy management systems. Dr. Kawashima is a member of the SICE and the Institute of Electrical Engineers of Japan.
  Nonlinear Model Predictive Control for Fuel-Efficient Driving of Vehicles
  Computing the fuel-efficient driving of vehicles is getting important in automotive industry, as automated-driving cars are being developed. This talk describes a basic idea of nonlinear model predictive control of vehicles for computing fuel-efficient driving. Applications of the idea are also reviewed.
  Speaker: Tsuyoshi Yuno, Kyushu University, Japan from Control theory group of SICE
  Tsuyoshi Yuno received the Ph.D. degree in engineering from Osaka University, Japan in 2015. He has been an Assistant Professor with Kyushu University, Fukuoka, Japan. His research interests include automotive driver assistance based on control engineering, and algebraic approaches to nonlinear control theory. Dr. Yuno is a member of IEEE, IEEE Control Systems Society, and SICE.
  Integration of Multiple Energy Management Systems Considering Benefits of Owning EVs
  We discuss about an integration way based on decentralized optimization for multiple energy management systems which utilize EVs' in-vehicle batteries. Especially, we focus on the benefit of owing EVs which can be calculated in the derivation of the optimization.
  Speaker: Shinkichi Inagaki, Nagoya University, Japan from CREST EMS Suzuki group & Hirata subgroup
  Shinkichi Inagaki received the Ph.D. degree in engineering from Tokyo University, Japan, in 2003. He was an assistant professor from 2003 to 2008, a lecturer from 2008 to 2015, and currently an associate professor, of the department of mechanical science and engineering of Nagoya University. His current research interests are in the areas of energy management systems and decentralized control systems. He is a member of the SICE, RSJ, JSME, and IEEE.
  Security Measures and Their Evaluation Environment for Substation Monitoring and Control Systems
  We discuss cyber security issues arising within substations where communication takes place for monitoring and control of devices such as transformers and circuit breakers. We focus on the standard protocol GOOSE which is becoming common at the field device level and its vulnerabilities due to multicasting without any encryption. Attack detection methods are introduced and verified on a simulation testbed environment.
  Speaker: Noriyuki Ueda, Central Research Institute of Electric Power Industry (CRIEPI), Japan from CREST EMS Ishii group & Onoda group
  Noriyuki Ueda is a researcher of System Engineering Research Laboratory, Central Research Institute of Electric Power Industry (CRIEPI), Japan, since 2015.
  Domestic Heat Pump Water Heater Operation to Mitigate Difficulty of Demand and Supply Operation with Large Number of Renewable Energy sources
  Over a hundred of domestic heat pump water heater (HPWH) hot water demand and electric power consumption have been classified by use of k-means method. To mitigate difficulty of electric power system demand and supply operation with a large number of renewable energy sources, HPWH operation method is proposed taking into account owner's convenience, and frequency stability has been examined by use of AGC30 model.
  Speaker: Jumpei Baba, The University of Tokyo, Japan from CREST EMS Baba group
  Jumpei Baba received the B.Eng., M.Eng., and Ph.D.Eng degrees from The University of Tokyo, Tokyo, Japan in 1996, 1998, and 2001, respectively. He has been with the Department of Electrical Engineering, Tokyo University of Science, since 2001, and with the Department of Advanced Energy, Graduate School of Frontier Sciences, The University of Tokyo, since 2003. He is currently an Associate Professor of Department of Advanced Energy, Graduate School of Frontier Sciences, The University of Tokyo.
  Impact of EV Charging to Distribution Grid: Analysis and Control
  In this part, we focus on the impact of charging/discharging operations by a large number of EVs on the power distribution grid. Recent development of analysis and control technologies on this impact issue will be introduced with concrete examples.
  Speaker: Yoshihiko Susuki, Osaka prefecture university, Japan from CREST EMS Susuki group
  Yoshihiko Susuki received the B.S., M.S., and Ph.D.Eng. degrees from Kyoto university, Japan, in 2000, 2002 and 2005, respectively. He has been a visiting researcher of University of California, Santa Barbara, since 2008, a lecturer of Graduate School of Engineering, Kyoto university, since 2011. He is currently an associate professor of Graduate School of Engineering, College of Engineering, Osaka Prefecture University.
  Vehicle Grid Integration HILS for designing Charging Services and Grid Ancillary Services
  Special test bed with living electric vehicle fleets and control algorithms of collaborative universities have been conducted by support of JST CREST. Vehicle grid integration control and implementation has been demonstrated. Achievements of TCU research and collaborative research among the universities will be presented.
  Speaker: Yutaka Ota, Tokyo City University, Japan from CREST EMS Ota group
  Yutaka Ota received the B.S., M.S., and Ph.D.Eng. degrees from Nagoya Institute of Technology, Japan, in 1998, 2000 and 2003, respectively. He was a Project Assistant Professor of Ubiquitous Power Grid Endowed Chair in the Center for Advanced Power and Environmental Technology (APET) of The University of Tokyo, since 2016. He is currently an Associate Professor of Department of Electrical and Electronic Engineering of Tokyo City University. His research interests include vehicle-to-grid technology, modeling of batteries, and application of phasor measurement unit based wide area measurement system to power system monitoring, protection, and control.