A multi-criteria integrated probabilistic voltage vulnerability assessment method

Conventional voltage vulnerability assessment methods and indices as well as weak area identification are one-sided and inconsistent with each other. Specially most of solutions are deterministic without considering the uncertainties in nature. Based on Super-Efficiency Data Envelopment Analysis (SEDEA) model, a multi-criteria integrated probabilistic voltage vulnerability assessment method is proposed in this paper. Three voltage vulnerability indices are selected for the assessment. Two integrated indices obtained by SEDEA model, Mean Voltage Vulnerability Index (MVVI) and Deviation Voltage Vulnerability Index (DVVI), are used to indicate the mean and deviation degree of bus voltage vulnerability respectively. By performing numerical simulations on IEEE standard test system, it can be concluded that the proposed method and indices are able to identify weak load buses comprehensively, effectively and objectively with random factors taken into account.