Evaluation of Electric Vehicles' Impacts and Rationalization of their Energy Sources' Distribution Based on Analytic Hierarchy Process and Multi-Objective Programming Model

Ze Ming Jiang; Cong Hou

doi:10.4028/www.scientific.net/AMM.707.525

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 707Evaluation of Electric Vehicles' Impacts and...

Evaluation of Electric Vehicles' Impacts and Rationalization of their Energy Sources' Distribution Based on Analytic Hierarchy Process and Multi-Objective Programming Model

Abstract:

By using Analytic Hierarchy Process (AHP), a solution is given in different aspects to analyze the weight of the impacts of electric vehicles. The economic and social impacts are found out to be the key factors. When EV’s penetration rate reaches a certain level, the lowest cost, lowest harm degree to our environment and society, and maximum possibility are considered to avoid using un-renewable energy. In addition, multi-objective programming model is built to solve the problem of the amount and type of electricity generation needed that will produce the largest number of benefits.

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Periodical:

Applied Mechanics and Materials (Volume 707)

Pages:

525-531

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.707.525

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Online since:

December 2014

Authors:

Ze Ming Jiang, Cong Hou*

Keywords:

Analytic Hierarchy Process (AHP), Electric Vehicle (EV), Multi-Objective Programming Model

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References

[1] Msashall JD, Toh SK, Nazar of WW. Intake fraction of nonreactive vehicle emission in us urban area[J]. Atmospheric Environment, 2005, 39: 1363-1371.

DOI: 10.1016/j.atmosenv.2004.11.008

Google Scholar

[2] .

Google Scholar

[2] Helbing D, Traffic and related self-driven many-particle systems[J]. Review Modern Physics, 2001, 73: 1066-1067.

DOI: 10.1103/revmodphys.73.1067

Google Scholar

[3] Matt Draper, Ernesto Rodriguez, Phil Kaminsky, Ikhlaq Sidhu*, Burghardt Tenderich, 2008. Economic Impact of Electric Vehicle Adoption in the United States [J], 5-8.

Google Scholar

[4] Zadeh A, Fahim A, EI Gindy M. Neural Networks and Fuzzy Logic Application to Vehicle System[J]．International Journal of Vehicle Design, 1997, 18(2): 132-193.

Google Scholar

[5] Rao M V C, Prahlad V. Tunable Fuzzy Logic Controller for Vehicle Active Suspension Systems[J]．Sets and Systems, 1997, 85: 11-21.

DOI: 10.1016/0165-0114(95)00369-x

Google Scholar

[6] Dyke KJ, Schofield N, Barnes M. The Impact of Transport Electrification on Electrical Networks[J]. IEEE TRANSACTIONS ON INDUSTRY, 2010, 57: 3917-3926.

DOI: 10.1109/tie.2010.2040563

Google Scholar

[7] Lopes JAP, Soares FJ, Almeida PMR, 2011. Integration of Electric Vehicles in the Electric Power System[J]. PROCEEDINGS OF THE IEEE 99, 168-183.

DOI: 10.1109/jproc.2010.2066250

Google Scholar

[8] BP Statistical Review of World Energy. BP Statistical Review of World Energy June 2010 [M], 1-50.

Google Scholar