A generation-reserve co-optimization dispatching model for wind power integrated power system based on risk reserve constraints

The stochastic fluctuation of wind farm outputs and the difficulties to accurately predict, adjust and control bring problems in generation dispatch and reserve decision of power system with large scale wind power integration. Based on the probabilistic characteristics of wind power and load forecast errors, a new random variable is introduced and conditional value-at-risk (CVaR) is adopted to calculate the risk reserve capacity. Considering uncertain factors such as equipment failure, prediction errors of loads and wind power, a novel risk reserve constrained generation and operating reserve optimal dispatching model is proposed. Simulation results on a modified IEEE 39-bus system show that the proposed method is able to strike the balance between reliability and economy of the wind power system by setting the value of confidence level and give optimal scheme for the allocation of thermal power outputs and reserve among the generation units.