TY - GEN
T1 - A multi-criteria integrated probabilistic voltage vulnerability assessment method
AU - Lin, Yuzhang
AU - Shi, Libao
AU - Jian, Zhou
AU - Yao, Liangzhong
AU - Lin, Xiaofeng
AU - Masoud, Bazargan
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Data Envelopment Analysis
KW - Monte Carlo Simulation
KW - Voltage Stability
KW - Vulnerability Assessment
KW - Weak Bus
UR - http://www.scopus.com/inward/record.url?scp=84893171716&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893171716&partnerID=8YFLogxK
U2 - 10.1109/PESMG.2013.6672422
DO - 10.1109/PESMG.2013.6672422
M3 - Conference contribution
AN - SCOPUS:84893171716
SN - 9781479913039
T3 - IEEE Power and Energy Society General Meeting
BT - 2013 IEEE Power and Energy Society General Meeting, PES 2013
T2 - 2013 IEEE Power and Energy Society General Meeting, PES 2013
Y2 - 21 July 2013 through 25 July 2013
ER -