Project description DEENESFRITPL Novel numerical control algorithms for stochastic hybrid systems balance the grid The increasing contribution of renewable energy sources to the grid brings with it uncertainties associated with weather conditions, as well as distributed generation and consumption. Control algorithms must take all these variables into account, combining discrete-valued network topologies with continuous-valued voltages and frequencies and including probabilistic phenomena – the definition of stochastic hybrid systems. The ERC-funded CONENE project will leverage stochastic hybrid systems theory to model the grid and enhance stability. The team will develop safe and scalable numerical control algorithms for stochastic hybrid systems using recent advances in numerical optimisation and statistics and implement and validate them on realistic power grid simulation platforms. Show the project objective Hide the project objective Objective The increasing uptake of renewable energy sources and liberalization of electricity markets are significantly changing power system operations. To ensure stability of the grid, it is critical to develop provably safe feedback control algorithms that take into account uncertainties in the output of weather-based renewable generation and in participation of distributed producers and consumers in electricity markets. The focus of this proposal is to develop the theory and algorithms for control of large-scale stochastic hybrid systems in order to guarantee safe and efficient grid operations. Stochastic hybrid systems are a powerful modeling framework. They capture uncertainties in the output of weather-based renewable generation as well as complex hybrid state interactions arising from discrete-valued network topologies with continuous-valued voltages and frequencies. The problems of stability and efficiency of the grid in the face of its changes will be formulated as safety and optimal control problems for stochastic hybrid systems. Using recent advances in numerical optimization and statistics, provably safe and scalable numerical algorithms for control of this class of systems will be developed. These algorithms will be implemented and validated on realistic power grid simulation platforms and will take advantage of recent advances in sensing, control and communication technologies for the grid. The end outcome of the project is better quantifying and controlling effects of increased uncertainties on the stability of the grid. The societal and economic implications of this study are tied with the value and price of a secure power grid. Addressing the questions formulated in this proposal will bring the EU closer to its ambitious renewable energy goals. Fields of science engineering and technologyenvironmental engineeringenergy and fuelsrenewable energyengineering and technologyelectrical engineering, electronic engineering, information engineeringelectrical engineeringpower engineeringelectric power transmission Programme(s) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Topic(s) ERC-StG-2015 - ERC Starting Grant Call for proposal ERC-2015-STG See other projects for this call Funding Scheme ERC-STG - Starting Grant Host institution EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH Net EU contribution € 1 346 438,00 Address Raemistrasse 101 8092 Zuerich Switzerland See on map Region Schweiz/Suisse/Svizzera Zürich Zürich Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 1 346 438,00 Beneficiaries (1) Sort alphabetically Sort by Net EU contribution Expand all Collapse all EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH Switzerland Net EU contribution € 1 346 438,00 Address Raemistrasse 101 8092 Zuerich See on map Region Schweiz/Suisse/Svizzera Zürich Zürich Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 1 346 438,00