An Approach For Pathological Constraints Identification And Feasibility Recovery Of Reactive Optimization Using Interior Point Method

Yi Lin, Yu-bin Lin, Zhang-sui Lin, and Peng-bo Jiang


optimal power flow, reactive optimization, pathological constraints, constraint relaxation


In this paper, the reason of reactive optimizing failure with large-scale power networks is discussed. A practical relaxed optimal power flow model (RelaxOPF) is presented to restore the solvability of reactive optimization solved by interior point method. In this model, pathological constraints which caused failure of OPF can be identified during optimizing; the problem is restored by minimum relaxation introduced into those pathological constraints. Numerical results of IEEE testing system and actual power networks show that the proposed method is feasible and practical. This work is supported by State Grid Projects (52130N14002T).

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