Khatami, RoohallahParvania, MasoodKhargonekar, Pramod2019-01-032019-01-032019-01-08978-0-9981331-2-6http://hdl.handle.net/10125/59796Energy storage (ES) devices offer valuable flexibility services, including regulation reserve, in power systems operation that could improve the reliability and cost-efficiency of systems with high penetration of renewable energy resources. In this paper, a continuous-time look-ahead regulation capacity scheduling model is proposed, which more accurately models and schedules the regulation capacity trajectories provided by generating units and ES devices in real-time power systems operation. A function space solution method is proposed to reduce the dimensionality of the continuous-time problem by modeling the parameter and decision trajectories in a function space formed by Bernstein polynomials, which converts the continuous-time problem into a linear programming problem. Numerical results, conducted on the IEEE Reliability Test System, show lower operation cost and less regulation scarcity events in real-time power systems operation due to efficient deployment of the ES flexibility in regulation markets.9 pagesengAttribution-NonCommercial-NoDerivatives 4.0 InternationalPolicy, Markets, and ComputationElectric Energy Systemscontinuous-time optimization, energy storage, electricity markets, regulationConference Paper10.24251/HICSS.2019.435