Adequacy evaluation of residential distribution network with PHEVs penetration

Author

Zhu Wang ; Lingfeng Wang

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Univ. of Toledo, Toledo, OH, USA

fYear

2015

fDate

18-20 Feb. 2015

Firstpage

1

Lastpage

5

Abstract

Plug-in Hybrid Electric Vehicles (PHEVs) are emerging as a new form of distributed energy resources for power grid, and their charging/discharging patterns will inevitably affect the power system reliability. This paper is concerned about the system adequacy after integrating PHEVs into residential distribution systems. To truly reflect the impact of PHEVs charging, a conditions-dependent outage model is applied to calculate the change of probability distribution function (PDF) for the power transformer. A time sequential Monte Carlo simulation is utilized to obtain the reliability indices in system adequacy evaluation. The IEEE-34 feeder system is used to represent the residential distribution system in case studies, and simulation results are presented and discussed.

Keywords

IEEE standards; Monte Carlo methods; hybrid electric vehicles; power distribution reliability; power grids; power transformers; IEEE-34 feeder system; PDF; PHEV charging-discharging patterns; conditions-dependent outage model; distributed energy resources; plug-in hybrid electric vehicle penetration; power grid; power system reliability; power transformer; probability distribution function; residential distribution network adequacy evaluation; time sequential Monte Carlo simulation; Load modeling; Mathematical model; Oil insulation; Power system reliability; Power transformer insulation; Reliability; Wind power generation; Plug-in hybrid electric vehicle; hybrid transformer failure model; system adequacy evaluation; transformer protection outage model;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Smart Grid Technologies Conference (ISGT), 2015 IEEE Power & Energy Society

Conference_Location

Washington, DC

Type

conf

DOI

10.1109/ISGT.2015.7131878

Filename

7131878