Transient Stability Constrained Optimal Power Flow Model Considering Uncertainty of Wind and Photovoltaic Output
Aiming at the uncertainty in a power system with wind power integration,the paper proposes a transient stability constrained optimal power flow(TSCOPF)model and the solution method considering the uncertainty of wind and photovoltaic output,with the consideration of both economy and security in operation.Firstly,a Gaussian mixture model(GMM)is used as the prediction error model of wind and photovoltaic output in the power system to build a TSCOPF model with the rotating reserve chance constraints.Then deterministic transformation for the chance constraints is carried out using sequence operations,and the TSCOPF model is converted into a mixed integer linear programming(MILP)model,which is solved using the Gurobi solver.Finally,the case analysis on IEEE 39-node system verifies the validity of the proposed model and method.
万方数据
维普
