Digital Solutions To Integrate Variable Renewables in Distribution Networks
Wednesday, 21 February, 2018 | 11:30 - 12:00
CSEM is developing a set of digital technologies to help transition power networks to a decentralised, renewable energy system. A major challenge in this transition is the number of active components and the lack of observability. To estimate current and future levels of photovoltaic production, our machine-learning models build on support-vector regression techniques to deliver state-of-the-art, day-ahead forecasting accuracy. These forecasts can then be used to optimise power consumption profiles and the control of active elements. This session will in particular present the optimal control of photovoltaic inverters. This control uses existing electronic capabilities of photovoltaic inverters and emerging communication features as offered e.g., by the Sunspec standards. To quantify the value of this and other control technologies, CSEM has developed an automated hosting capacity computation tool, which we have recently released as an open-source add-on for Digsilent PowerFactory.
Dr. Pierre-Jean Alet
Senior Expert and Project Manager
Swiss Center for Electronics and Microtechnology (CSEM)
Pierre-Jean Alet obtained masters in engineering from ENSTA ParisTech and in Physics from Université Paris XI, Orsay. He received his PhD from École Polytechnique (France) for his work on nano-structured solar cells. From 2008 to 2013 he was with Sharp Laboratories of Europe (UK), where he investigated solar cell technology and energy services. He is now Project Manager at CSEM (Switzerland); his responsibilities cover the performance of PV generators, storage, and grid integration. He is a member of the steering committee of the European Technology and Innovation Platform - Photovoltaics and leads the platform's activities on grid integration.