This course will teach you how to digitalize the ‘conventional’ grid and which digital technologies you can use for this, including but not limited to, AI, machine learning, blockchain and computer simulations.
Even though the power grid has been the main driver of the rapid advancement of technology in the past decades, the engineering of the grid is outdated by today’s standards. Equipment is still hardwired and analogue, there is limited data acquisition, and many control actions are performed manually. Subsequently, it becomes harder to ensure similar system quality and efficient operations when more renewables are added to the grid. The next big leap, therefore, is to revamp and digitalize the energy system.
We invited five prominent industry leaders to share industry perspectives, case studies and applications of digitalization in the fields of Grid Operations, Electric Power Systems, Power Distribution, Electrical Systems, Control Systems and Cybersecurity, but also in Consultancy and Software Development. Our guest speakers are: Philip Gladek (CEO of Spectral), Bas Kruimer (Business Director Digital Grid Operations at DNV), Martin Wevers (Grid Planner at TenneT), Evelyn Heylen (Head of research at Centrica) and Antoine Marot (Lead AI Scientist at RTE).
You will also get hands-on experience through solving an optimal scheduling problem, noting the differences between different numerical simulation methods and applying machine learning to predict system overloads.
This course is aimed at professionals in the energy industry who want to broaden their perspective and discover alternative approaches to energy integration in an intelligent way such as:
– grid operators, electrical systems managers, control systems managers, power engineers
– cybersecurity consultants, software developers, artificial intelligence managers/ scientists, energy consultants
– project managers, planners, policy makers etc.
Any other enthusiasts with the desire to learn more about current practices of the power grid, novel digital technologies and trends to deploy them can also enrol in this course.
“At DNV, our vision is to be a trusted voice to tackle global transformations. The energy transition is vital to decelerate climate change. Integrating energy systems in an intelligent way is a critical skill for the engineers, project managers, planners, policymakers, and scientists of the future.
The course “Digitalization of intelligent and integrated energy systems” comes at the right time to tackle the challenges and complexity of today’s energy systems. It provides you with a powerful framework to digitalize energy systems by using AI, machine learning, simulations, digital twins and sheds light on cyber security matters. It helps you to integrate electric cars, heat, gas and electricity into the energy system. I would highly recommend this innovative course to everyone who is interested in the digital transformation of the energy system.”
Bas Kruimer, Business Director Digital Grid Operations, Energy Systems, DNV
- To recognize the digital transformation in the energy sector, identify challenges and solutions, and evaluate its impact on both the power system and society itself.
- To analyse the IT-OT infrastructure and protocols of the digitalized power system, identify vulnerabilities and learn how to mitigate and recover from these cyber threats.
- To compare the different model types used for numerical simulations of energy systems and evaluate the influence of individual parameters and system models on the simulation performance.
- To explain the different objectives of decision-making in energy systems, and the influence of different units and their properties on the decision making.
- To apply and evaluate machine learning methods for prediction and control in energy systems
- Lectures 0
- Quizzes 0
- Duration 6 weeks
- Skill level All levels
- Language English
- Students 0
- Assessments Yes