A Multi Agent-Based Framework for Simulating Household PHEV Distribution and Electric Distribution Network Impact
Conference
·
OSTI ID:1034664
- ORNL
The variation of household attributes such as income, travel distance, age, household member, and education for different residential areas may generate different market penetration rates for plug-in hybrid electric vehicle (PHEV). Residential areas with higher PHEV ownership could increase peak electric demand locally and require utilities to upgrade the electric distribution infrastructure even though the capacity of the regional power grid is under-utilized. Estimating the future PHEV ownership distribution at the residential household level can help us understand the impact of PHEV fleet on power line congestion, transformer overload and other unforeseen problems at the local residential distribution network level. It can also help utilities manage the timing of recharging demand to maximize load factors and utilization of existing distribution resources. This paper presents a multi agent-based simulation framework for 1) modeling spatial distribution of PHEV ownership at local residential household level, 2) discovering “PHEV hot zones” where PHEV ownership may quickly increase in the near future, and 3) estimating the impacts of the increasing PHEV ownership on the local electric distribution network with different charging strategies. In this paper, we use Knox County, TN as a case study to show the simulation results of the agent-based model (ABM) framework. However, the framework can be easily applied to other local areas in the US.
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-00OR22725
- OSTI ID:
- 1034664
- Country of Publication:
- United States
- Language:
- English
Similar Records
Simulating the Household Plug-in Hybrid Electric Vehicle Distribution and its Electric Distribution Network Impacts
Demographic Information Incorporated Household Energy Consumption Analysis
Demographic Information Incorporated Household Energy Consumption Analysis
Journal Article
·
Sat Dec 31 23:00:00 EST 2011
· Transportation Research. Part D, Transport and Environment
·
OSTI ID:1135834
Demographic Information Incorporated Household Energy Consumption Analysis
Conference
·
Mon Sep 25 00:00:00 EDT 2023
·
OSTI ID:2229564
Demographic Information Incorporated Household Energy Consumption Analysis
Conference
·
Mon Sep 11 00:00:00 EDT 2023
·
OSTI ID:2000539