Electric vehicle models for evaluating the security of supply

被引:29
作者
Bremermann, Leonardo E. [1 ]
Matos, Manuel [1 ,2 ]
Pecas Lopes, Joao A. [1 ,2 ]
Rosa, Mauro [1 ,3 ]
机构
[1] INESC Porto Inst Syst & Comp Engn Porto, Oporto, Portugal
[2] FEUP Fac Engn Univ Porto, Oporto, Portugal
[3] UFSC Fed Univ Santa Catarina, Florianopolis, SC, Brazil
关键词
Electric vehicle; Markov process; Poisson process; Power generation reliability; DEMAND;
D O I
10.1016/j.epsr.2014.02.001
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The future large-scale deployment of electric vehicles (EV) will not only have impact on load growth, but also create opportunities for the electricity sector. Generally, the current methods for security of supply long-term evaluation do not include this new type of load. While the electric components of the generating systems are usually modelled by the Markov process, this paper presents, as its major contribution, an EV model based on the Nonhomogeneous Poisson process, which has been developed in order to better represent the motorized citizen mobility and the EV opportunity to release spinning reserve to electric systems. The simulation procedure lies in combining both Poisson and Markov processes into a sequential Monte Carlo simulation (SMCS) to measure the impact of EV when evaluating the adequacy of generating systems. This evaluation is divided into two complementary concepts: static reserve (generating capacity reserve) and operating capacity reserve. The proposed models are analyzed using a modified version of the IEEE RTS-96 including renewable sources. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:32 / 39
页数:8
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