Observability reliability evaluation in power systems considering data uncertainty

Author

Khalafi, Zahra ; Dehghani, Maryam ; Goel, Lalit ; Wenyuan Li

Author_Institution

Sch. of Electr. & Comput. Eng., Shiraz Univ., Shiraz, Iran

fYear

2015

fDate

June 29 2015-July 2 2015

Firstpage

1

Lastpage

5

Abstract

In this paper, observability reliability (OR) and loss of data expectation indices (LODE) are calculated considering data uncertainty. Single contingency of Phasor Measurement Unit (PMU) and branch outages are considered in the calculations and to achieve more realistic results, it is assumed that failure data (repair time and failure rate) of all branches and PMU components have uncertainty. Fuzzy set theory is used to deal with data uncertainty. A fuzzy Monte Carlo Simulation approach is proposed to calculate OR and LODE indices in the presence of uncertainty. The proposed method can be used to determine the most reliable PMU placement among the multiple optimal solutions. The IEEE 14-bus system is used to evaluate the effectiveness of the proposed method.

Keywords

Monte Carlo methods; fuzzy set theory; observability; phasor measurement; power system reliability; IEEE 14-bus system; LODE; PMU; branch outages; data uncertainty; fuzzy Monte Carlo simulation; fuzzy set theory; loss of data expectation indices; observability reliability; phasor measurement unit; power systems; Maintenance engineering; Observability; Phasor measurement units; Power system reliability; Reliability theory; Uncertainty; Data uncertainty; Fuzzy Monte Carlo Simulation; Observability; Phasor Measurement Unit (PMU); Reliability;

fLanguage

English

Publisher

ieee

Conference_Titel

PowerTech, 2015 IEEE Eindhoven

Conference_Location

Eindhoven

Type

conf

DOI

10.1109/PTC.2015.7232266

Filename

7232266