Artelys has designed and implemented a market clearing algorithm for frequency response
The increasing deployment of renewable electricity in Europe have led TSOs to request higher volumes of electricity reserve products, such as frequency response. In order to stimulate the provision of balancing volume by suppliers, EPEX SPOT created a new platform to hold market auctions for frequency reserve of different types.
Artelys has been commissioned by EPEX SPOT to design and implement the market clearing algorithm with the objective to select the least-cost maximal frequency response volume for TSOs. This new algorithm was designed to handle over 100,000 offers and be flexible enough to easily adapt when new market rules are introduced.
The solution developed by Artelys uses FICO Xpress Optimization Suite to model and solve the different market clearing optimisation problems.
Artelys Knitro 16.0: Model Nonlinear Problems Natively, Solve Them Concurrently
Artelys is pleased to announce the release of Knitro 16.0, a major version introducing two flagship features — a native Nonlinear Modeler and a Concurrent Solver — alongside significant performance and robustness improvements for nonlinear, mixed-integer and linear optimization problems.
First Successful Auction for the New French Capacity Mechanism!
— The first auction of the new French Capacity Mechanism was successfully held on Monday, 6 July 2026. Artelys is proud to provide the market clearing algorithm used to select the accepted capacity offers.
Artelys compared the compensation mechanisms available for hydropower across global electricity markets in collaboration with CEATI
— Artelys is proud to have issued a new report published by CEATI, providing a comprehensive benchmark of compensation mechanisms available to hydropower assets across electricity markets in North America, Europe, and beyond.
Artelys Crystal HPC: Our integrated, sovereign High-Performance Computing (HPC) managed platform for industries
— Organizations that run complex simulations, large-scale optimizations, or sensitive calculations face a threefold challenge: securing the computing power to match their ambitions, ensuring data sovereignty, and avoiding weeks of setup time before seeing initial results.
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