Secretary, IEEE Joint Chapter of Power Electronics/Industrial Electronics/ Industry Applications Societies
Secretary, 2017-2018
Academic Contribution
Journals & Conferences Peer Reviewer
Editorship
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The International Conference on Renewable Power Generation (RPG) is one of the IET's most successful international events, with the 8th edition will be held on 24 & 25 October 2019 in Shanghai, China.
Technical Scope:
- Smart Grids and Active Distribution Networks
- Grid Planning, Operation and Management
- Renewable Generation and Distributed Energy Resources
- Computational Intelligence, ICT and Blockchain Applications in Smart Grids
- Emerging Technologies and End-user Systems
- Microgrids, Standalone Power Systems, and Virtual Power Plants
- ...
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The International Conference on Renewable Power Generation (RPG) is one of the IET's most successful international events, with the 8th edition will be held on 24 & 25 October 2019 in Shanghai, China.
Technical Scope:
- Wind technology
- PV system technology
- Other renewable energy sources
- Smart city
- Grid integration
- Technology, policy and market options for power system
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Special Issue on “Demand Response in Electricity Markets”Future power system will host significant amount of renewable generation inevitably. These energy resources are naturally undispatchable and unpredictable, and do not necessarily follow the load demand. Therefore, safe and secure operation of the future power system will require extra flexibility in real-time operation to compensate the varying generation. This will not be possible by large synchronous rotating machines, as they are slow, less economically efficient and polluting. In this regard, Demand Response Programs (DRP) are attracting a lot of attention. Preliminary studies on Demand Response (DR) resources in integrated energy systems have already projected incredible potential to act as flexibility resources for power systems operations. Nevertheless, there are still many questions and concerns related to DR resources involvement into the electricity and energy markets, which have to be properly addressed.
This Special Issue is an attempt to encourage researchers from different discipline to offer solutions and algorithms to effectively incorporate DR resources in electricity and energy markets. These include the conventional day-ahead and real-time wholesale markets as well as P2P electricity trading considering stochasticity, unpredictability, and non-linearity of the phenomenon. In this framework, physical and virtual energy storages and electric vehicles are also considered as DR resources. A special focus will be on how to model, forecast and control flexible resources in intelligent and integrated energy systems.
Keywords
- demand response aggregation
- electric vehicle
- energy storages
- market bidding mechanism
- demand response in P2P trading
- ancillary services
- forecasting and control of flexibility
- stochastic demand response
- market operation with demand response
- dynamic flexibility modelling and control
- integrated energy systems
- ICT solutions for demand response
Submission Deadline: 31 July 2018
Guest Editors:
- Prof. Dr Henrik Madsen, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark
- Dr Seyyed Ali Pourmousavi Kani, Global Change Institute, The University of Queensland, St Lucia, Australia
Professional Affiliation
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IEEE 2017
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IEEE 2007
Power & Energy Society (PES), Institute of Electrical and Electronics Engineers (IEEE)
Student Member, 2007-2014 - Member, 2015-2019 - Senior Member, 2019-Present
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EA 2017
MIEAust, The Institution of Engineers Australia
Member, 2017-2018
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EA 2017
Electric Energy Society of Australia (EESA), Engineers Australia (EA)
Member, 2017-Present
Invited Talk
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The automobile industry is going through an incredible transformation from internal combustion engines (ICEs) to all-electric vehicles (EVs). Almost every brand in the industry has one or more plug-in hybrid electric vehicles (PHEVs) for sales, and they have ambitious plans to deliver all EVs to the market in the next couple of years. In addition, countries, such as Norway and Sweden, decided to ban all petrol-powered cars in the next 25-40 years. While this is an excellent decision to eliminate greenhouse gas emission from the transportation sector, it means an extra load for the existing power grid that can be on at the same time. Consequently, it raises many questions about the future power system operation: How many EVs and PHEVs could the existing low-voltage network support? What types of chargers exist in the market and which one should be allowed? Do we need to coordinate the EVs and PHEVs charging level and/or time in order to avoid network issues? In what situation, does the network require an upgrade? How much of our network needs an upgrade according to the models?
To that end, the main goal of this short talk is to raise awareness among electricity providers and engineers about the future of EVs and PHEVs technologies, and the technical challenges that should be evaluated and resolved beforehand. First, the expected penetration of EVs and PHEVs in the Australian market will be reviewed briefly. Then, the common charging infrastructure will be explained in terms of charging modes and types. Finally, two prominent challenges, the uncoordinated charging and types of chargers, will be discussed in the future with many EVs and PHEVs. -
Future distribution system will host active consumers with rooftop PV panels and storage devices, which requires substantial changes in operation, control, and protection of the power system as a whole. In Australia, the future is approaching fast. Millions of Australians have rooftop PV. By recent decline in battery storage prices and technological breakthrough, more of them are considering installing battery at their premises to increase profit from PV generation and through services to the upper grid, and reduce electricity bill by load shifting. In this presentation, I will briefly talk about the status of small-scale PV and battery systems in Australia. Then, I will review potential applications of energy storage in the active distribution networks by using two-level and stochastic optimisation frameworks. In the second part of the presentation, I will introduce a real-world application of utility-scale battery system at the University of Queensland Gatton campus. -
In recent years, millions of advanced metering devices are installed at different locations of power systems all around the world. They measure, record, and communicate an unprecedented amount of data for the attention of power system operators and consumers. Gathered data can be analysed for insights that lead to better decisions and strategic moves. To effectively deal with the volume, velocity, and variety of the data, power system researchers and engineers should be able to use tools and procedures that have been created in the field of big data analysis over the last two decades. In this talk, a set of tools and procedures from the field of big data and their applications in power systems research will be introduced. More specifically, the reasons that a power systems researcher/engineer needs to learn these tools and methods, will be highlighted and the standard procedure (used by many Data Scientist) to prepare and polish data for further analysis will be introduced. In the last section of the talk, each tool, and their applications and functionalities based on the given standard procedure will be briefly introduced.
Professional Training
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The technological revolution in the electric power system sector is producing large volumes of data with relevant impact in the business and functional processes of system operators, energy utilities and grid users. This course aims to cover different theoretical and practical aspects of data analytics in energy systems, according to the following viewpoint:- The future generation of big data functions will combine spatial-temporal information and distributed learning techniques that exploit recent advances in high performance and distributed computing.
- The output should be probabilistic (uncertainty) information and with high value for integration in decision-aid methods under risk.
- Deep learning techniques represent an added value for automatic feature extraction and reduction, but manual feature engineering using domain (expert) knowledge cannot be abandoned.
- Machine learning algorithms can be used to control grid assets, for instance embedded in reinforcement learning techniques or to create proxy models for complex physical systems.
- Creation of new business models for knowledge extraction from data is also expected in a near future. Some examples are data analytics for consumer engagement in demand response, big data pre-processing from grid sensors, electricity markets modelling and predictive maintenance of electrical assets.
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The Research Data Science Winter School program is designed to teach and refresh all the basic concepts that programming depends on, and learn key considerations on working with data by engaging with experienced data scientists. The Research Data Science Winter School will feature sessions on: Open Science, 2 days of hands-on sessions by Software Carpentry on R programming; followed by 2 days of tutorial based sessions on Research Data Management, Research Computational Infrastructure and key considerations for managing, analysing and sharing your research data.
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One day tutorial at the IEEE PES T&D conference on the basics and state-of-the-art of bulk energy storage for power systems applications:- Basics of energy storage technologies and application
- Cost-effective energy storage applications through bundling of grid services
- Valuation of energy storage: Wholesale markets, distribution support and behind-the-meter
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Introduced both the broad range of IoT technologies and the most recent developments in the space, 1-month online training course with certificate upon completion:- Discover key IoT concepts including identification, sensors, localization, wireless protocols, data storage and security
- Explore IoT technologies, architectures, standards, and regulations
- Realize the value created by collecting, communicating, coordinating, and leveraging the data from connected devices
- Examine technological developments that will likely shape the industrial landscape in the future
- Understand how to develop and implement your own IoT technologies, solutions, and applications
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Tools to set priorities and make decisions under pressure, 2-day onsite training with certificate:- Define Chaos within your Control
- Thinking and decision making
- Priority planning
- Plan daily work
- Assertive communication
- Action plan
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Tools for managing your project (for non-managers), 2-day onsite training with certificate:
- Getting your hands around project management
- How to work successfully with others
- Getting it off the ground
- Planning the work
- Working the plan
- Putting it to bed