Figure 1: Smart grid architecture

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Towards a Smarter Grid - A short course jointly organized by Power Engineering Division, School of Electrical and Electronic Engineering, NTU and IEEE Singapore Section - (Last updated on July 11, 2013) Introduction A large part of Singapore transmission and distribution networks has already incorporated automated monitoring and control systems, allowing the flow of energy and information in real-time. This has made Singapore s energy system highly efficient and reliable. Consumers in Singapore experience fewer disruptions of energy supply and even when disruptions do occur, they are usually very short in duration. However, it is important to make the energy system more intelligent by extending its reach to consumers to meet their needs and enable faster responses to changes in energy demand and supply. Smart grid is the extension of the microgrid through the seamless integration of demand side in the management of the grid infrastructure. Integration of demand side in smart grid is vital for stabilizing and securing power supply system during transmission from unstable sources of electricity or disruptions. Figure 1 shows the components of a possible smart grid at the distribution voltage level. The smart grid is a distributed, yet integrated, system that will automate the energy chain and empower consumers to participate directly or indirectly in the generation and consumption of energy. The advanced metering infrastructure (AMI) forms the backbone of an efficient smart grid system that will facilitate versatile and flexible monitoring and control capabilities. Smart grid can swiftly obtain and process the output and demand data, then automatically optimize or secure the demand and supply balance. The smart grid will incorporate various advanced technologies such as demand side management, demand response management, energy efficiency system and electric vehicle management. Figure 1: Smart grid architecture The previous course conducted in August 2010 presented the research and development work of the Microgrid Energy Management System (MG-EMS) project at NTU. Basic concepts of the MG-EMS, renewable energy sources, power converters, and their interface through sensing and communication technology were discussed. Research works at NTU, specifically the design of software algorithms and control schemes that are used for minimizing the schedule cost or maximizing the revenue of MG-EMS were also reported. Moving forward, the incorporation of the demand side with the MG-EMS will enable advanced smart grid technologies that can achieve energy reductions through an efficient use of electrical energy. Furthermore, the integration of MG-EMS with active consumers through home and building energy management systems will enable the smart grid to control and optimize the scheduling 1

of energy used by the loads in order to minimize overall costs of electricity and respond to incentives from the service providers to curtail loads at times of peak or off-peak demand. Research findings of the recently completed Shore Power project as well as on-going projects such as Cost-Benefit Analysis for Smart Grid in Singapore, Virtual Power Plant and Intelligent Energy System at NTU will be reported. This course will discuss the challenges in the integration of renewable energy sources and the application of power electronic converters in smart grids. The advancement in energy management system for smart grid such as optimal sizing of battery banks and the virtual power plant concept will also be covered. The course will present advanced smart grid technologies with a focus on the consumer side typically homes, buildings and electric vehicles. While courses related to the smart grid technologies have been conducted in both the United States and Europe, this course is unique in Singapore and the region as it showcases laboratory prototypes for testing new devices, control schemes and market policies/standards/rules related to the future development of smart grids. Course Objectives The urgency to drive an overhaul of grid infrastructure has seen governments, industries, and electric utilities around the world coming together to stimulate the development of the smart grid technology. These initiatives are designed to integrate clean energy technologies, improve the reliability of the electrical grid, reduce costs through increased operating efficiency for utilities, improve energy efficiency through consumer participation and prepare the grid for the integration of electric vehicles. Pike Research forecasts that smart grid infrastructure, including grid automation upgrades as well as smart metering, represents a huge market opportunity and will attract $200 billion in worldwide investment between 2008 and 2015. The smart grid is transforming the electric industry from a centralized, producer-controlled network to the one that is less centralized and more consumer-interactive. The basic concept of the smart grid technology is to integrate monitoring, control, analysis and two-way real-time communication to the electric transmission and distribution system to improve the efficiency of the system while reducing the energy consumption. The smart grid will allow utilities to distribute electricity around the system as efficiently and economically as possible. It will also allow and encourage the consumers to use electricity as economically as possible while reducing consumption. The smart grid builds on many of the technologies currently employed by utilities but incorporates communication and control capabilities that will optimize the operation of the entire electrical grid. The smart grid is also positioned to take advantage of new intelligent technologies, such as distributed generation, demand side management, demand response management, home/building energy management systems, plug-in electric vehicles, and many more as shown in Figure 2. Figure 2: Towards a smarter grid 2

This course aims to introduce how smart grid technologies enhance the efficiency of the energy supply system. It will discuss the basic concepts of renewable energy sources and the application of power electronic converters in overcoming their potential challenges. Current advancements in energy management system for the smart grid will also be discussed. Emphasis will be placed on optimal sizing and coordination of energy storage systems in a smart grid. The course will also present innovative inclusion of consumer energy management systems in the smart grid to provide the ability for demand side management and demand response management to ensure an efficient and prudent use of energy. These consumer energy management systems provide a technical solution that empowers utilities and consumers to make homes and buildings more energy efficient. Typically, home, building and electric vehicle energy management systems will allow consumers and utilities to manage energy usage and reduce peak demand without sacrificing consumer comfort and convenience while reducing the environmental footprint. Towards the end of the course, demonstrations including renewable energy sources, power converters, battery management systems, home and building energy management systems, shore power, and electric vehicles will be performed. 3

Course Outline Time Activities 8:30-9:00 Registration 9:00-10:00 Lectures delivered by Prof G. Foo Topic: Integration of Renewable Energy Sources into Smart Grid 1. Renewable Energy Sources: Solar PV, Wind Generators, Fuel Cell 2. Applications of Power Electronic Converters in Smart Grid 3. Control Strategies for Power Electronic Converters 10:00-10:30 Tea break 10:30-12:30 Lectures delivered by Prof H. B. Gooi Topic: Advancement in Energy Management System for Smart Grid 1. Managing Cable Losses in Smart Grid via Optimal Power Flow 2. Virtual Power Plants and Associated Controls 3. Optimal Sizing of Battery Banks for Smart Grid 4. Coordination of Supercapacitors and Batteries 5. Energy Portal Project at NTU 12:30-13:30 Lunch 13:30-15:30 Lectures delivered by Prof P. L. So Topic: Advanced Smart Grid Technologies 1. Advanced Metering Infrastructure: Information and Communication Technology 2. Demand Response Management and Demand Side Management 3. Home and Building Energy Management Systems 4. Integration of Electric Vehicles 15:30-16:00 Tea Break 16:00-18:00 Smart Grid Demonstration including Renewable Energy Sources, Power Converters, Battery Management Systems, Home and Building Energy Management Systems, Shore Power and Electric Vehicles. The details of the finalized course schedule will be available from the Short Course sub-menu at http://eeeweba.ntu.edu.sg/power_projects/lems/ a couple weeks before the scheduled course date. 4

Instructors H. B. GOOI received his Ph.D. degree from Ohio State University in 1983. From 1983 to 1985 he was an Assistant Professor in the EE Department at Lafayette College. From 1985 to 1991 he was a Senior Engineer with Empros (now Siemens), USA where he was responsible for the design and testing of energy management system (EMS) projects. In 1991, he joined School of EEE, NTU as a Senior Lecturer and has been an Associate Professor since 1999. He is a registered professional engineer in USA and Singapore. He taught EMS courses for dispatchers and managers at Power System Control Centre in Singapore, Indonesia and Malaysia. He has successfully completed the Microgrid Energy Management System project funded by A*STAR and Shore Power project funded by MPA and a local shipyard. He participated in the NTU Intelligent Energy System Pilot project initiated by EMA. He is the PI of the Panasonic funded Virtual Power Plant project. P. L. SO received the B.Eng. degree with first class honors in Electrical Engineering from the University of Warwick, U.K., in 1993, and the Ph.D. degree in Electrical Power Systems from Imperial College, University of London, U.K., in 1997. He is currently an Associate Professor in the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. Prior to his academic career, he worked for eleven years as a Second Engineer with China Light and Power Company Limited, Hong Kong, in the field of power system protection. His research interests are power system operation and control, power quality, power line communications, clean and renewable energy, energy management, microgrids and smart grids. Gilbert H. B. FOO received the diploma in electrical and electronics engineering from Inti College, Kuala Lumpur, Malaysia, in 2004, and the Bachelor of electrical engineering (with first class honours and the University Medal) and the PhD degrees from the University of New South Wales, Sydney, Australia, in 2007 and 2010 respectively. He joined the School of EEE at NTU, Singapore as a research fellow in 2010 under a Rolls Royce collaborated project for the control of power electronic converters. He is currently an Assistant Professor at the School of EEE at NTU, Singapore. His research interests include power electronics and motor drives. He has published more than 40 international journal and conference papers. He also won the Commonwealth Scientific and Industrial Research Organisation (CSIRO) prize for Automation and Adaptation in 2009. He is a member of the IEEE Industrial Electronics, Power Electronics, and Industry Applications societies. 5

Demonstrators P. H. Cheah received his B.Eng. and M.Sc. in Power Engineering in Electrical & Electronic Engineering at the Nanyang Technological University in 2009 and 2012 respectively. His current research interests are load forecasting, microgrid energy management, land-based energy management and home/building energy management systems. M. Q. Wang received his B.S. and M.Eng. in Electrical Engineering from Shandong University, Jinan, China, in 2004 and 2007 respectively. He received his Ph.D. degree from Nanyang Technological University, Singapore in 2012 and currently he is a Research Fellow at NTU. His research interests are economic operation of power systems and microgrids. S. X. Chen received his B.S. dual degree in Power Engineering and Business Administration from Wuhan University, China in 2007 and M.S. degree in Power Engineering from Nanyang Technological University, Singapore in 2008. He received his Ph.D. degree in 2012 and currently is a Research Fellow in Nanyang Technological University, Singapore. His research interests are smart energy management systems, energy efficiency, renewable energy sources and energy storage systems, data mining and analysis. B. Sivaneasan received the B.Eng. and Ph.D. degrees in Electrical and Electronic Engineering from Nanyang Technological University, Singapore in 2007 and 2012 respectively. He is currently a Research Fellow in the School of Electrical and Electronic Engineering, Nanyang Technological University. His research interests are power line communications, advanced metering infrastructure, electric vehicles, building energy management systems, demand response and smart grids. K. Vijayakumar received the B.E. degree in Electrical and Electronic Engineering in 2006 from Coimbatore Institute of Technology, Coimbatore, India. He obtained his M.Tech. and Ph.D. degrees from National Institute of Technology, Tiruchirappalli, India in 2009 and 2013 respectively. He is currently a Research Associate with Energy Research Institute, Nanyang Technological University, Singapore. His research interests include power electronics and electric machine drives, control techniques and their applications. He has authored several technical articles in the relevant areas. He is also a member of Institution of Engineering and Technology (IET). S. Lu received the BEng and PhD degree from the University of Birmingham in 2007 and 2011 respectively. He also has a BEng degree from Huazhong University of Science and Technology, Wuhan, China. All are in Electrical and Electronic Engineering. He is a Research Fellow with the Energy Research Institute at the Nanyang Technological University. His main research interests include power management strategies optimization, railway vehicle traction system modeling, railway electrical network and energy-efficient transportation systems. 6

Who Should Attend? This course is useful to engineers and managers working in clean energy, renewable energy, converter design and operation of microgrids, smart grids and intelligent energy systems. It is beneficial to anyone who wishes to know more about the development of microgrids and smart grids in Singapore. The course will be structured towards experience sharing and knowledge transfer. Course Information Date: July 25, 2013 (Thursday) Time: 8:30 to 18:00 Lecture Venue: Executive Seminar Room (S2.2-B2-53), Block S2.2, Level B2, Room 53, School of Electrical & Electronic Engineering (EEE), NTU Demo Venue: Laboratory for Clean Energy Research (S2-B7c-05), School of EEE, NTU CPD Programme: This course is qualified for 7 PDUs by Professional Engineers Board (PEB), Singapore. Please visit http://app.peb.gov.sg/pe_general_co.aspx Fee (net amount): S$550 or on site S$600 (subject to space availability) S$500 for early bird registration by June 28, 2013 or $450 for group registration (3 or more from the same organization registered at the same time by July 18, 2013) Fees include refreshments, lunch and course notes. Payment is to be made payable to IEEE Singapore Section via a Singapore cheque or bank draft in Singapore dollars. Overseas participants are asked to contact Mrs Jasmine Leong for details of TT transfer at: IEEE Singapore Section Secretariat Blk 121 Paya Lebar Way #03-2801 Singapore 381121 Tel: (65) 6743 2523 Email: sec.singapore@ieee.org Accommodation is available at Nanyang Executive Center on a first-come, first-served basis. Details are available at http://www.ntu.edu.sg/nec/pages/default.aspx The proposed course is subject to a minimum participation before commencement. 7

Participant s Details Name: *(Mr/Ms/Mrs/Dr) Designation: Contact no: PEng: Yes/No Email: Name: Designation: Contact no: PEng: Yes/No Email: Name: Designation: Contact no: PEng: Yes/No Email: Organization s Details Company Name: Company Address: Postal Code: Contact Person s Name: *(Mr/Ms/Mrs/Dr) Designation: Contact no: Fax: Email: Please complete the form, scan and email to the IEEE Singapore Section Secretariat before sending the original together with the cheque/bank draft to Mrs Jasmine Leong at: IEEE Singapore Section Secretariat Blk 121 Paya Lebar Way #03-2801 Singapore 381121 Tel: (65) 6743 2523 Email: sec.singapore@ieee.org Payment by cheque/bank draft is to be made payable to IEEE Singapore Section in Singapore dollars. 8