This paper presents a novel energy management system (EMS) for wind power plants that jointly optimizes market participation and turbine loading across day-ahead and intra-day markets. Unlike conventional approaches that focus primarily on revenue maximization, the proposed framework incorporates load-dependent costs to maximize overall profit. The EMS integrates short-term generation and price forecasts with a wind power plant flow model using active power control to ensure accurate tracking of optimal power references under varying wind conditions. In addition, the framework quantifies the achievable synthetic inertia that a wind plant can provide, considering wake interactions, control strategies, and operational constraints. Simulation results demonstrate that the proposed approach improves economic performance while mitigating turbine fatigue and estimating inertia-support capabilities, thereby enabling a more reliable and economically efficient integration of wind power into modern electricity markets.
Link to paper: https://zenodo.org/records/22046468