Stochastic Unit Commitment of Wind Farms Based on Mixed-Integer Linear Formulation

Stochastic Unit Commitment of Wind Farms Based on Mixed-Integer Linear Formulation

Due to uncertainty of wind velocity, wind power generators don’t have deterministic output power. Utilizing wind power generation and thermal power plants together create newconcerns for operation engineers of power systems. In this paper, a model is presented to implement the uncertainty of load andgenerated wind power which can be utilized in power system operation planning. Stochastic behavior of parameters is simulated by generating scenarios that can be solved bydeterministic method. A mixed-integer linear programming method is used for solving deterministic generation schedulingproblem. The proposed approach is applied to a 12-unit test system including 10 thermal units and 2 wind farms. The resultsshow effectivity of piecewise linear model in unit commitment problems. Also using linear programming causes a considerable reduction in calculation times and guarantees convergence to theglobal optimum. Neglecting the uncertainty of wind velocity causes higher cost assessment of generation scheduling