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- W2347682014 abstract "Under the pressure of energy security,energy saving,and emission mitigation,many countries around the globe have established supporting policies to encourage the development of electric vehicles( EVs). Given this background,it is necessary to examine the overall profit of the development of EVs to the society,and is the objective of this work. Specifically,the overall profit of EVs is evaluated based on aspects of energy saving,carbon dioxide emission reduction and EVs' potential contributions to avoided ancillary service costs of the power system concerned. Analytical methods to caculate EVs' potential profits of energy saving and emission reduction compared with traditional vehicles with internal combustion engines( ICE) are proposed. Considering EVs' constraints of the state of charge( SOC),as well as the maximum charging/discharging power,an optimization model is presented to investigate the contribution of EVs' participation in reducing the ancillary service costs in the power system with wind power by mitigating the fluctuations of wind power outputs and load changes,and the well-established particle swarm optimization( PSO) algorithm is employed to solve the optimization model. To derive the expectation of the EVs' capability in re-ducing wind power and load fluctuation,the Monte Carlo simulation is utilized to simulate the probability distribution of EVs' driving /parking as well as their initial states of charge. The average level of the reduced wind power and load fluctuation can be used to calculate EVs' ancillary service profits. A scenario for the year 2020 in China is served for deminstrating the proposed method.This work is jointly supported by National Basic Research Program( 973 Program)( No. 2013CB228202),National Natural Science Foundation of China( No. 51361130153,No. 51361130152),and a project from State Grid Zhejiang Electric Power Company( 5211DF13500M)." @default.
- W2347682014 created "2016-06-24" @default.
- W2347682014 creator A5087894935 @default.
- W2347682014 date "2014-01-01" @default.
- W2347682014 modified "2023-09-23" @default.
- W2347682014 title "A preliminary investigation on the overall profit assessment of electric vehicle development to the society" @default.
- W2347682014 hasPublicationYear "2014" @default.
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