Nicolas Omont
Artelys, solutions for power grid optimization
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Nicolas Omont has more than 15 years of experience in Power Systems computation as an expert and a project manager. At Artelys and at RTE R&D department, he managed R&D projects to develop Power Systems tools for CIM CGMES data management, security analysis, remedial action optimization and capacity calculation. He is used to applying Artificial Intelligence techniques to Power Systems, for example to consumption forecast.
PowSyBl AC Optimal Power Flows
PowSyBl includes a framework to design AC Optimal Power Flows. It was used to develop Open Reac, dedicated to the voltage plan initialization needed when forecasting future grid states that are very different from historical ones, and a divergence analyzer, used to identify issues in data that prevent load flow convergence. Contrary to the other OPFs of PowSyBl (Open RAO and Metrix), these OPFs natively handle the non-linear equations of static power grid models, making them particularly suited to manage voltage constraints.
The use of a tabular format makes it easy to prototype new OPFs. The roadmap involves the development of fully open-source OPFs based on Julia JuMP.
Open source for power grids: the business model of a service provider
Generally speaking, open-source adoption requires the development of an ecosystem of IT service providers to develop, customize, support, and maintain the corresponding software.
Power grid operators are not an exception to this rule. They have additional specificities like the requirement to coordinate closely so that they exchange a massive amount of complex information and run coordinated operational processes. Through the experience of Artelys as a service provider using extensively PowSyBl, a path to a sustainable ecosystem will be sketched out.
European Remedial Action Optimizer: maximizing renewable energy exchanges
The energy transition in Europe induces an increase of the cross-border power flow in order to accommodate wind and PV generation whose production level varies in time and location throughout Europe. Investments in new transmission lines is slow and expensive. As a result, it is needed to make the most of the existing grid to increase the available transfer capacities between countries. PowSyBl Open RAO has been developed for this purpose: as a Remedial Action Optimizer, it optimizes the application of advanced grid management techniques in order to push further the safety limits of the European Power Grid. As it is computationally intensive, it is distributed on a Kubernetes cluster and uses advanced computational tools like Mixed Integer Programming. The presentation will sketch out the architecture of the tool, its main feature, and will end by showing actual use cases.
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