SS20 Open-source tools for future power systems – ATTEST Project

ABSTRACT The decarbonisation of power systems requires the adoption of cleaner and flexible technologies, such as distributed renewable generation, electric vehicles and storage devices. These technologies have unquestionable benefits from an environmental perspective, but will also bring new challenges to the operation and planning of power systems. This special session will have a series of presentations that will address the foreseen challenges posed by the massive integration of distributed energy sources, ranging from the real-time operation to the long-term planning. Besides the challenges, the presentations will also discuss the potential solutions and showcase a set of open-source tools developed in the ATTEST project, which can be used to overcome the future operation/planning problems. The ATTEST project, funded by the European Commission, aims at developing and operationalising a modular open-source toolbox comprising a suite of innovative tools to support TSOs/DSOs operating, maintaining and planning the energy systems of 2030 and beyond in an optimised and coordinated manner, considering technical, economic and environmental aspects. The outputs from the ATTEST project will enable accelerated dissemination, by a wide range of research institutions, within and outside of the project consortium, of the tools that will help TSOs and DSOs to better manage their networks. The demonstration of the results of the project will be valuable for the scientific community and EU energy industry and attest to the relevance of the solutions developed. The ATTEST’s ambition is to enable a wide range of users to utilize and test the tools developed in the project, thereby contributing to spread knowledge and experience in the energy systems community in the EU and on a global scale.

• Presentation 1 Title: Power Network Investment Planning Considering Deep Uncertainty Name 1: Eduardo Alejandro Martínez Ceseña
• Presentation 2 (3 speakers) Title: ATTEST models and coordination of TSO and DSO flexibility procurement and activation Name 1: Tomislav Capuder Name 2: Florin Capitanescu Name 3: Mohammad Iman Alizadeh
• Presentation 3 (2 speakers) Title: Smart environment for asset management in power grids Name 1: Gopal Lal Rajora Name 2: Miguel Ángel Sanz Bobi
• Presentation 4 Title: Planning and Operation of TSO-DSO Shared Technologies Name: Micael Simões
• Presentation 5 Title: Real-world implementation of an open-source platform to support DSOs/TSOs activities Name: Hrvoje Keko

CHAIR

Filipe Joel Soares, INESC TEC 

SPEAKERS

Eduardo Alejandro Martínez Ceseña, The University of Manchester

Florin Capitanescu, Luxembourg Institute of Science and Technology (LIST)

Mohammad Iman Alizadeh

Gopal Lal Rajora

Miguel Ángel Sanz Bobi, Comillas Pontifical University

Micael Simões Hrvoje Keko, Koncar Digital

	Filipe J. Soares has a degree in Physics and a PhD in Sustainable Energy Systems, from Porto University. He is currently a Senior Researcher at INESC TEC and Assistant Professor at the Lusophone University of Porto. He has coordinated and been involved in several projects in the field of power systems for over 14 years, addressing the integration of renewable energies, storage and electric vehicles in power systems, participation of flexible loads and aggregators in electricity markets, energy efficiency, consumer engagement and, more recently, multi-energy systems and green hydrogen production. (https://orcid.org/0000-0002-0750-5058)
	Dr. Eduardo Alejandro Martínez Ceseña (alex.martinezcesena@manchester.ac.uk) is a lecturer in Multi-energy Systems in the Department of Electrical and Electronic Engineering at the University of Manchester, UK. He received the BEng degree from the Universidad Autónoma de Baja California (Mexico) in 2004, the MSc degree from Instituto Tecnológico de Morelia (Mexico) in 2008 and the PhD degree from the University of Manchester in 2012, all in electrical engineering. Dr. Martínez Ceseña has co-authored over 50 research papers in peer-reviewed international journals and conferences and a book chapter, and participated in several European and UK research projects including FutureDAMS (GCRF), Smart Street (LCNF), Forward Resilience Measures (NIA), ADDRESS (FP6), DIMMER (FP7) and ATTEST (H2020); specifically, in work streams related to the integration of smart and flexible network solutions, economic and financial assessment, and business models for electricity and multi-energy systems. His research interests include power systems economics, planning and design of generation systems based on renewable energies, distribution network reinforcement planning in the light of demand response, storage and other smart solutions, multi-energy system analysis, optimisation techniques, energy system resilience, and Real Options theory, among others.
	Florin Capitanescu (Member, IEEE) received the Electrical Power Engineering degree from the Politehnica University of Bucharest, Bucharest, Romania, in 1997, and the Ph.D. degree from the University of Liège, Liège, Belgium, in 2003. Since 2015, he has been a senior researcher with the Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg. His main research interests include the application of optimization methods to the operation of transmission and active distribution systems, particularly optimal power flow approaches, power systems security, voltage instability, and smart sustainable buildings.
	Mohammad Iman Alizadeh received the MS.cin Electrical Power Engineering from Shiraz University of Technology in 2013 and the PhD degree from the Tarbiat Modares University (TMU), Tehran, Iran in 2018. His research skills and interests are in the fields of Demand Response, Demand Side Management, Energy Management Systems, power system flexibility, high non-dispatchable integrated networks, power system economics. Mixed-integer, robust, stochastic optimization techniques in power system operations. He has a vast experience in power system optimization, power system flexibility; Smart Grid, networks with large-scale integration of wind and other non-dispatchable generation resources; and Demand-side Management; Demand Response Programs.
	Gopal Lal Rajora
	Miguel Ángel Sanz Bobi is Professor at the Telematics and Computer Science Department and a Researcher at the Institute for Research and Technology (IIT), both within the Engineering School of the Comillas Pontifical University, Madrid (Spain). He divides his time between teaching and research in the Artificial Intelligence field applied to diagnosis and maintenance and asset management of industrial processes. He has been involved in more than 50 industrial projects in the last 30 years concerning the diagnosis in real-time of industrial processes, incipient detection of anomalies based on models, knowledge acquisition and representation, data mining, reliability, predictive maintenance, and prognosis. His research interests include data analysis, the application of artificial intelligence techniques, pattern recognition methods, and technologies supporting the smart industry.
	Micael Simões
	Hrvoje Keko is an experienced engineer, researcher and consultant, with most of his career at the meeting point of digital with energy sector. His educational background is from University of Zagreb, Croatia and University of Porto, Portugal. In his career, he held roles in academia, consulting and industry, and currently holds the position of Head of Products and Solutions R&D in KONČAR-DIGITAL, a recently established digital pillar of KONČAR, the largest Croatian electric equipment manufacturing company. His team supports KONČAR’s digital product development with a portfolio of research and innovation projects and has brought up the company’s smart grid R&D to the very top of Europe. His talk discusses the challenges of transferring top-notch academic developments into real world usage and the role of semantic data modelling and integration in it.