Analysis Of A Distribution System Integrated With Photovoltaic Charging Facilities

Electricity generation and transportation account for most of the global primary energy demand. The majority of the world’s coal demand is for electricity generation and the majority of the world’s oil demand is for transportation. This has triggered an increase in the deployment of renewable energy sources such as photovoltaic (PV) and wind throughout the globe. Likewise, alternative vehicle technologies, such as plug-in hybrid electric vehicles (PHEVs), are being developed to reduce the world’s dependence on oil for transportation and to limit transportation-related greenhouse gas emissions. The ongoing research in the field of plug-in hybrid electric vehicles (PHEVs) and the growing global awareness for a pollution free environment, will lead to an increase in the number of PHEVs in the near future. This triggers the need for charging stations that can satisfy the requirements for a significant amount of power needed to charge the PHEVs. The proliferation of these charging stations would add stress to the already overloaded U.S grid leading to blackouts and voltage instability problems. Since the initial penetration of PHEVs is expected to be confined to a particular neighborhood, charging them simultaneously might cause serious issues to the distribution transformers. In view of the above issues, this thesis aims to study the impact of adding of PHEVs to an existing distribution network. An IEEE 30 bus distribution test feeder has been modeled in MATLAB environment and the impact of PHEV load on the voltage profile and the power losses has been presented. Finally a differential evolution based algorithm is proposed to reduce the loading on the distribution system by integrating the PHEV charging stations with photovoltaic generators.

Name thesis:degree_name

M.S. (Master of Science)

Level thesis:degree_level

Masters

Discipline thesis:degree_discipline

Electrical Engineering (UMKC)

Grantor dc:publisher

University of Missouri -- Kansas City

Year dc:date.issued

2019

Author dc:creator

• Ali, Saadaldeen

Advisor dc:contributor.advisor

• Goli, Preetham

Language dc:language.iso

en_US

Handle dc:identifier.uri

https://hdl.handle.net/10355/68841

OAI identifier oai:identifier

oai:mospace.umsystem.edu:10355/68841