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research-article

Coordination Dispatch of Electric Vehicles Charging/Discharging and Renewable Energy Resources Power in Microgrid

Published: 01 April 2017 Publication History

Abstract

A large number of distributed powers access to the distribution network have a multifaceted impact on the power grid, while microgrid is an effective way to solve the impact of distributed generation on the power grid. In microgrid, the proportion of renewable energy is large, while it's output is random. Besides, electric vehicles(EVs) play an important role in microgrid and a high penetration level of EVs could bring about a large impact on microgrid. Therefore, considering the coordination between renewable energy sources and EVs, a optimization model is proposed in this paper. In the optimization model, the minimum variance of equivalent load as the objective function, considering the electric vehicle driving behavior and electric vehicle capacity constraints, EVs charging/discharging power in each scheduling period is obtained. Simulation result shows the effectiveness of the model. The results show that charging/discharging of EVs can be dispatched to reduce the equivalent load and increase absorptive capacity of renewable energy.

References

[1]
R. Zamora, A.K. Srivastava, Controls for microgrids with storage:Review, challenges, and research needs, Renewable and Sustainable Energy Reviews., 14 (2010) p.6-p.14.
[2]
Hua Fu, Mengya Liu,Zichun Chen. Multi-objective Optimization of Battery Swapping Station with Wind Photovoltaic and Energy Storage. Proceedings of the CSU-EPSA. 2016. 28(4).
[3]
Dayang Yu, Shuguang Song, Bo Zhang,Xueshan Han. Synergstic Dispatch of PEVs Charging and Wind Power in Chinese Regional Power Grids. Journal of electric power automation. 2011.35(14).pp.24-29.
[4]
Weifeng Yao, Junhua Zhao,Fushuan Wen,Yusheng Xue,Jianbo Xin. A charging and discharging dispatching Strategy for Electric Vehicles Based on Bilevel Optimization, Automation of Electric Power System. 2012.pp.30-36.
[5]
Weiqing Sun,Chengmin Wang,Pingliang Zeng,Yan Zhang. An Optimal Charging/Discharing Strategy for Electric Vehicle Battery Swapping Strations Based on Linear Optimization. Automation of Electric Power System. 2014. 38(1).
[6]
Ting Gao,Ruiye Liu,Ke Hua. Dispatching Strategy Optimization for Orderly Charging and Discharging of Electric Vehicle Battery Charging and Swapping Station. Preprints of the 5th international conference on Electric Utility Deregulation and Restructuring and Power Technologies .2015. pp.26-29.
[7]
Dai Wang, Xiaohong Guan, Jiang Wu, Junyu Gao. Vehicle Driving Pattern Based Modeling and Analysis of Centralized Charging/Discharging Strategy for Plug-in Electric Vehicles. Power System Technology. 2014. 38(9).
[8]
Guihong Huang, Xia Lei, Yi Yang, Yuzhe Wang, Xiaosheng Chen. Two-layer Smart Charge-Discharge Strategies for Electric Vehicles Considering Wind Generation and Users Satisfaction. Transactions of China Electrotechnical Society.2015.30(5).
[9]
Tan N. Le1;2, Saba Al-Rubaye1, Hao Liang, and BongJunChoi. Dynamic Charging and Discharging for Electric Vehicles in Microgrids. IEEE ICC2015-Workshop on Green Communication and Networks with Energy Harvesting. Smart Grid and Renewable Energies.2015.
[10]
Qi Yang, Jianhua Zhang, Zifa Liu, Shu Xia, Weiguo Li, Multi-objection Optimization of Hybrid PV/Wind Power Supply System, Automation of Electric Power System, 33 (2009).

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Information & Contributors

Information

Published In

cover image Procedia Computer Science
Procedia Computer Science  Volume 107, Issue C
April 2017
901 pages
ISSN:1877-0509
EISSN:1877-0509
Issue’s Table of Contents

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 April 2017

Author Tags

  1. charging/discharging
  2. electric vehicles
  3. microgrid
  4. renewable energy generation
  5. vehicle to grid(V2G)

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