Title :
Exact Penalty Function Based Constraint Relaxation Method for Optimal Power Flow Considering Wind Generation Uncertainty
Author :
Tao Ding ; Rui Bo ; Fangxing Li ; Yang Gu ; Qinglai Guo ; Hongbin Sun
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
Abstract :
This letter presents a constraint relaxation optimal power flow (OPF) model to tackle the issues when traditional OPF is infeasible under large variations such as wind generation output. In this model, the original hard constraints are relaxed into soft constraints and the objective function is adjusted for the cost of constraint violations. To guarantee the equivalence to the original OPF model when there are feasible solutions, an exact penalty function method is introduced to justify the selection of penalty factor of constraint violations. By solving an optimization problem, the lower bound of the proper penalty factor is obtained. The results of a 6-bus test system show that the proposed method achieves the same solution when the original OPF has feasible region, and an optimal solution can be obtained with minimum constraint violation when original OPF has no feasible region. Lastly, three large IEEE systems are tested to verify the effectiveness of proposed method.
Keywords :
load flow; optimisation; power generation dispatch; power generation economics; wind power; 6-bus test system; constraint violations; exact penalty function based constraint relaxation method; optimal power flow; wind generation uncertainty; Generators; Linear programming; Optimization; Relaxation methods; Sun; Uncertainty; Wind power generation; Bi-level programming; Karush-Kuhn-Tucker (KKT) conditions; constraint relaxation; exact penalty function; optimal power flow (OPF); wind power;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2014.2341177