TY - GEN
T1 - Simulation-based approach for investigating the impact of electric vehicles on power grids
AU - Ciechanowicz, David
AU - Pelzer, Dominik
AU - Knoll, Alois
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/1/12
Y1 - 2016/1/12
N2 - The large-scale introduction of plug-in electric vehicles (PEV) may pose challenges to power system operators by causing grid congestion or voltage fluctuations. This work presents a simulation-based approach for investigating the impact of transport electrification on power grids. The framework consists of an agent-based traffic simulation which is coupled with a power system simulation through the IEEE Standard High Level Architecture. As detailed power grid information is often unavailable, the framework further contains a method for synthesizing power networks from tempo- spatially resolved demand data. Using a high-performance computing infrastructure, the approach allows simulating the traffic and power system on the scale of a megacity faster than real-time. An application to the example of Singapore shows that grid congestion and voltage drops are observed on the low voltage level while the high and medium voltage grid remain unaffected. The presented framework may facilitate infrastructure decisions and support the development of smart charging strategies minimizing power grid impact.
AB - The large-scale introduction of plug-in electric vehicles (PEV) may pose challenges to power system operators by causing grid congestion or voltage fluctuations. This work presents a simulation-based approach for investigating the impact of transport electrification on power grids. The framework consists of an agent-based traffic simulation which is coupled with a power system simulation through the IEEE Standard High Level Architecture. As detailed power grid information is often unavailable, the framework further contains a method for synthesizing power networks from tempo- spatially resolved demand data. Using a high-performance computing infrastructure, the approach allows simulating the traffic and power system on the scale of a megacity faster than real-time. An application to the example of Singapore shows that grid congestion and voltage drops are observed on the low voltage level while the high and medium voltage grid remain unaffected. The presented framework may facilitate infrastructure decisions and support the development of smart charging strategies minimizing power grid impact.
KW - Power grid synthesis
KW - grid congestion
KW - plug-in electric vehicle
KW - power flow simulation
KW - power grid impact
UR - http://www.scopus.com/inward/record.url?scp=84965054722&partnerID=8YFLogxK
U2 - 10.1109/APPEEC.2015.7381046
DO - 10.1109/APPEEC.2015.7381046
M3 - Conference contribution
AN - SCOPUS:84965054722
T3 - Asia-Pacific Power and Energy Engineering Conference, APPEEC
BT - Proceedings of the 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2015
PB - IEEE Computer Society
T2 - IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2015
Y2 - 15 November 2015 through 18 November 2015
ER -