Tutorial -1: Frequency control of low-inertia islanded power systems
The gradual proliferation of distributed energy resources (DERs) such as photovoltaic (PV) systems is of interest to utilities of remote and rural areas where the use of conventional power generation is costly. Over the past decade, Horizon Power (the local utility supplying remote and regional towns of Western Australia) has experienced substantial growth in the installation of PV systems by its customers, particularly in the remote town of Carnarvon. The increasing number of distributed energy resources connected to the grid has created several challenges to the utility. Considerations of the sustainability and cost-effectiveness of PV generation, along with the customers' interest in renewable energies, have been the drivers for a project, aimed at identifying the ways to increase the penetration of PV systems, as well as to resolve the associated technical and operational issues. The project involves several practical trials and experiments on the Carnarvon remote network to assess the system's capability to increase penetration of DERs. The overarching intention is to provide a quantitative approach to assessing the hosting capacity of DERs for remote networks across the state. The project focusses on:
investigating the technical impact of the DERs on the network and identify the solutions to overcome the barriers;
propose an effective way to increase the DER hosting capacity of the network, which can be replicated in other remote networks across the state.
Findings and experiences from the project will be shared during this tutorial.
- David Edwards (Horizon Power, Australia)
David is the Technical Visionary at Horizon Power working in the Operational Technology Integration team. Over the last ten years, David has focused on the development and execution of complex projects that pioneer innovation and discovery.
- Pierce Trinkl (Horizon Power, Australia)
Pierce is a Renewable Energy Engineer working at Horizon Power. His main concern is using currently available technology to mitigate the drawbacks of distributed solar photovoltaic generation, thus allowing more solar to be installed.
- Dr Martina Calais (Murdoch University, Australia)
Martina completed her electrical engineering degree at Darmstadt University of Technology, Germany, before moving to Perth where she completed her PhD at Curtin University. She then joined Murdoch University and now has 20+ years of teaching and research experience in the areas of renewable energy engineering.
- Dr Md Asaduzzaman Shoeb (Murdoch University, Australia)
Md has received his doctoral degree in electrical power engineering from Murdoch University in 2020. Before this, he received his master's degree in sustainable energy technology jointly from KTH-Royal Institute of Technology, Sweden and Eindhoven University of Technology, Netherlands. He has over seven years of experience in teaching and research in the field of renewable energy and power system. His research interest optimal operation of remote microgrids and the integration of renewable energy sources into the power system. Currently, he is working as a Post Doctoral Research Fellow in a collaborative research project between Murdoch University and Horizon Power, concerned with a distributed energy resource trial in a remote Australian town, Carnarvon.
- Simon Glenister (Murdoch University, Australia)
Simon has more than 15 years of experience working in the small power systems area incorporating DER. Remote power systems incorporating Diesel/PV/Battery and Diesel/Wind/Battery systems and grid-connected PV systems are areas he has worked in. His experience also includes inverter design and power electronic system design. Simon is currently working in a support role at the Murdoch University, Horizon Power collaboration on increasing DER penetration in remote power systems.
Tutorial -2: Frequency control of low-inertia islanded power systems
The South West Interconnected System (SWIS) is the electricity grid that serves the southwestern part of Western Australia. Because the SWIS is an island system (disconnected from the NEM, the main grid that serves the eastern states of Australia), it must operate independently without any external support (e.g. interconnectors). With the massive uptake of rooftop PV, as well as the recent connection of large-scale wind and solar into the SWIS, there is a steady visible decline of synchronous inertia in the system. Reduced inertia and operational loads during the middle of the day (due to duck curve effects) make the control of system frequency more challenging as inertia provides an inherent and instantaneous response to active power imbalances (and thus retards changes in frequency). This tutorial surveys the state of the art when it comes to frequency control in low-inertia environments with specific operational case examples from the SWIS.
- Dr Julius Susanto (Australian Energy Market Operator, Australia)
Julius is a Power Systems Specialist and a Chartered Electrical Engineer with over 17 years of extensive practical and modelling experience and postgraduate qualifications in electrical (power) engineering and economics. His area of expertise extends to power system studies and analysis, utility-scale solar PV development and grid integration, hybrid microgrid design, software development for electrical engineering, techno-economic and regulatory analysis of electricity supply systems. He has recently completed his PhD in Stability of Microgrids and Weak Networks. Before that, he was graduated his Master of Electrical Utility Engineering; and completed his Bachelor of Electrical Engineering with first class honor, both from Curtin University in 2001. Julius also holds a Graduate Diploma in Business Economics from the University of Western Australia.
Tutorial -3: Frequency control of low-inertia islanded power systems
Along with the Smart Grid development, modern power systems are entering a “data-intensive” era. A vast volume of data from power grids is collected through advanced sensing and communication technologies, such as smart metering data, phasor measurement data, as well as meteorological data (e.g., wind speed and solar irradiance) related to renewable power generation, etc.
Such data contains comprehensive information about the power system covering equipment’s health status, power grid’s static and dynamic characteristics, renewable power generation, customers’ electricity usage pattern, etc. Therefore, advanced data-analytics techniques are needed to convert such data to knowledge for practical applications.
This tutorial aims to present some typical applications of data-analytics techniques for smart grids. Specifically, we will focus on three topics covering both power grid and the end-user: 1) power system stability assessment and control, 2) smart meter data processing, and 3) knowledge discovery from smart meter data
The tutorial will cover the fundamental principles, enabling algorithms, and case studies as well as practical implementations of the above three topics. The tutorial will be open to students, researchers, engineers, and any interested attendees in this area. Through this tutorial, the attendees will acquire the basic knowledge in data-analytics for power system stability analysis, and knowledge discovery from smart meter data, and practical guideline for designing the data-analytics tools.
- Dr Yan Xu (Nanyang Technological University, Singapore)
Yan received the B.E. and M.E degrees from South China University of Technology, Guangzhou, China in 2008 and 2011, respectively, and the Ph.D. degree from The University of Newcastle, Australia, in 2013. He is now the Nanyang Assistant Professor at School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), and a Cluster Director at Energy Research Institute @ NTU (ERI@N), Singapore. Previously, he held The University of Sydney Postdoctoral Fellowship in Australia. His research interests include power system stability, microgrid, and data-analytics for smart grid applications. Dr Xu is an Editor for IEEE Transactions on Smart Grid, IEEE Transactions on Power Systems, CSEE Journal of Power and Energy Systems, and an Associate Editor for IET Generation, Transmission & Distribution.
- Dr Junhua Zhao (Chinese University of Hong Kong, Shenzhen, China)
Junhua received the B.E. and Ph.D. degree from the Xi’an Jiaotong University, China and the University of Queensland, Australia in 2003 and 2007 respectively. He is now the Assistant Dean and Associate Professor of the School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen (CUHKSZ), and the Director of Energy Market and Finance Lab, Shenzhen Finance Institute (SFI). His research interests include power system analysis and smart grid, electricity market, energy economics, data mining and artificial intelligence. He is the co-chair of IEEE Special Interest Group (SiG) on ADGM and the secretary of the IEEE PES PBLC P2781 standard working group. He serves as an editor for IET Energy Conversion and Economics, Electric Power Components and Systems, and Protection and Control of Modern Power Systems.
- Dr Yanli Liu (Tianjin University, China)
Yanli received her BSEE, MSEE and Ph.D. degrees from Tianjin University in 2007, 2009 and 2014. Now she is the associate professor of the school of electrical and information engineering, head of the department of electrical engineering and executive deputy director of integrated energy power system intellectual center in Tianjin University. Her research area includes power system stability and security, cyber-physical power system, and data-driven method applications in smart grid. She is an Associate Editor of “Smart Grid and Energy Internet” Subject of the journal Engineering (published by Chinese Academy of Engineering), and an Associate Editor for IET Generation, Transmission & Distribution.
Tutorial -4: The emerging opportunities of servitization for market expansion in smart grids
The objective of the tutorial is to present a comprehensive introduction from the new paradigms in the servitization and market expansion practice of the smart power systems. It has been motivated by the great impact of IT-based revolution of technology in the innovative industries and the open up of new lines of service provision in the traditional industries. Therefore, definitely the smart power system is also affected and even driven by the factors of cause and effects of the IT revolution and of service provision, which will ultimately lead to change and alteration in the market model of the power systems. Hence, the tutorial will review the recent theories and paradigms in the marketing and market development of the IT-based industries in the smart grids. We would introduce different terms and ideologies on the logic of marketing and contrast the service-dominant logic of marketing to the good dominant logic of marketing. It also would justify the terms with the different phenomena in the traditional market structures and the modern market constructs and theories. The tutorial, besides, will present the relational marketing activities of the incumbent firms through which they keep the current consumers and promote the activities in face of the new entrants of the innovative companies, startups and spin-offs to the area of power market.
- Dr Ebrahim Navid Sadjadi (Universidad Carlos III de Madrid, Spain)
Navid has studied a first degree and then a master degree in Engineering at the Technology University of Madrid. He continued Ph.D. in Information Systems at University Carlos III of Madrid. His research interests include business strategy, numerical methods and optimization upon data management, in particular for the innovative companies and the new business initiatives. His publications include theoretical and application-based academic articles and case studies in the high impact Journals, and a methodological monograph on the Enterprise Development. In recent years he has developed a wide range of international teaching experiences and workshops. Besides, he has been Director of several national and international-wide projects in enterprise development and technology transfer, in collaboration with the parks of technologies, chambers of commerce, and incubators, especially for the innovative IT-based companies.
Tutorial -5: Uncertainty modeling in renewable energy systems through robust optimization
This tutorial is focused on the importance of uncertainty characterization in power and energy systems. Several previous methodologies in uncertainty modeling are reviewed with highlighted advantages/disadvantages. Robust Optimization is presented as the most practical uncertainty modeling approach. The detailed description of its structure and methodology is also presented in the tutorial. A case study is developed and the mathematical formulation for the two-stage robust optimization will be discussed and presented. The proposed model is also developed in GAMS software package to provide more resolution for attendees.
- Dr Amin Mahmoudi (Flinders University, Australia)
Amin received the B.Sc. degree in Electrical Engineering from Shiraz University, Shiraz, Iran, in 2005, M.Sc. degree in Electrical Power Engineering from Amirkabir University of Technology, Tehran, Iran, in 2008, and the Ph.D. degree from the University of Malaya, Kuala Lumpur, Malaysia, in 2013. His research interest is in areas where energy conversion and transmission play a major role, such as hybrid power networks, renewable energy systems, transmission and distribution networks, electrical machines and drives as well as numerical methods in electrical engineering. In particular, he carries out the research in the area of electrical machines and power electronics for applications such as renewable energy, electric traction systems and electrical drives for industrial applications. Currently, he is working as a lecturer at Flinders University. He is a member of the Institution of Engineering and Technology (MIET) and a Chartered Engineer (CEng). He is also a member of the Engineers Australia (MIEAust) and Chartered Professional Engineer (CPEng).
- Mehrdad Aghamohamadi (Flinders University, Australia)
Mehrdad received the B.Sc. degree in Electrical Engineering from Islamic Azad University, Sabzevar Branch, Sabzevar, Iran, in 2012, and the M.Sc. degree in Electrical Power Engineering from Hakim Sabzevari University, Sabzevar, Iran, in 2015. His research interest is in the area of sustainable and hybrid power and energy systems with applications in renewable energy generation, distribution, and coordinated integration into the energy sector. In particular, his research focuses on modeling and operation of multi-energy systems and energy storage systems, uncertainty characterization, robust optimization, power market trades, electric vehicles integration, and demand response. For three years he was a research assistant at Hakim Sabzevari University, Sabzevar, Iran. Currently, he is a Ph.D. candidate at Flinders University, Adelaide, Australia. He is also a researcher at CSIRO (The Commonwealth Scientific and Industrial Research Organisation), Newcastle, Australia.
Tutorial -6: Voltage and frequency control in renewable-rich networks
Power system frequency and voltage control are of paramount importance to maintain power grid stability and security. With the large-scale integration of power electronic converter interfaced renewable power generation into power grids (e.g. wind generation and solar-PV), the conventional strategies to control and maintain system frequency and voltage are becoming inadequate. In some cases, inadequacy of frequency and voltage control resources in power grid has led to power system stability problems. Therefore, new strategies should be deployed in power grids to maintain frequency and voltage within acceptable levels stipulated in grid codes/ rules, such as by employing advanced control schemes in power electronic converter interfaced renewable generators (e.g. fast frequency response). This tutorial will cover both the depth and breadth of aspects of power system frequency and voltage control in renewable rich power grids including electricity market aspects related to frequency and voltage control. The outlines of the tutorial are:
- Fundamentals of Power System Frequency and Voltage Control
- Frequency and Voltage Control Challenges with Renewable Power Generation
- Frequency and Voltage Control Strategies under High Renewable Power Penetration
- Frequency and Voltage Control from Electricity Market Perspective
- Dr Lasantha Meegahapola (Royal Melbourne Institue of Technology, Australia)
Lasantha received his Ph.D. degree from the Queen's University of Belfast, UK in 2010. His doctoral study was based on the investigation of power system stability issues with high wind penetration, and research was conducted in collaboration with EirGrid (Republic of Ireland-TSO). Lasantha has over 13 years’ research experience in power system dynamics and stability with renewable power generation and has published more than 100 journal and conference articles. He has also conducted research studies on microgrid dynamics and stability and coordinated reactive power dispatch during steady-state and dynamic/transient conditions for networks with high wind penetration. He was a visiting researcher in the Electricity Research Centre, University College Dublin, Ireland (2009/2010).
From 2011-2014 he was employed as a Lecturer at the University of Wollongong
(UOW) and continues as an honorary fellow at UOW. He is currently employed as a Senior Lecturer at the Royal Melbourne Institute of Technology (RMIT) University. He is a Senior Member of IEEE and a Member of the IEEE Power Engineering Society (PES) and IEEE Industrial Electronics Society (IES). He also an active member of the IEEE PES power system dynamic performance (PSDP) committee task force on microgrid stability analysis and modelling and working group on voltage stability. He made key contributions towards identifying and classifying stability issues in microgrids. Lasantha is also an Associate Editor of the IEEE ACCESS and IET Renewable Power Generation journals.