Optimal wind power penetration in the real-time energy market operation

This paper proposes a model to minimize the real-time operational cost of traditional generation in a power system with the optimal penetration of wind power. The model takes into account the security and operating constraints of the power system, such as the power flow and balance constrains, reserve requirements, system capacity limits, and wind power uncertainties. A probabilistic distribution function is used to characterize the wind speed and consequently the wind power distribution based on wind turbine power curves. The model is evaluated in IEEE New England 39-bus test system for several case studies. Results are provided to analyze the impact of wind power penetration on the operational costs of traditional generators in the system.