Neural Computing and Applications

, Volume 22, Issue 2, pp 249–257 | Cite as

Sitting and sizing of aggregator controlled park for plug-in hybrid electric vehicle based on particle swarm optimization

  • Tian Lan
  • Qi KangEmail author
  • Jing An
  • Wei Yan
  • Lei Wang
ISNN 2011


Environmental constraints, high and unstable fuel prices, limitation on fuel resources have led to emergence of Plug-in Hybrid Electric Vehicles (PHEVs). In order to launch the regulation service for grid-use of electric-drive vehicles, a smart control interface called an aggregator between the grid and the vehicles has been developed. In this paper, a particle swarm optimization (PSO), as well as its modified version (MPSO) based approach is presented for optimal sitting and sizing of aggregator controlled public car park for vehicle fleets in modern power system, which is convenient to the optimal charger control of PHEVs. The optimal location and sizing is calculated by minimizing the power loss and voltage deviations. The proposed approach is tested on IEEE 14 bus system.


PHEV Electricity grid Particle swarm optimization Demand management 



This work was supported in part by the National Science Foundation of China (grant no. 61005090, 61034004, 91024023, 61075064), the Ph.D. Programs Foundation of Ministry of Education of China (grant no. 20100072110038), and the Program for New Century Excellent Talents in University of Ministry of Education of China.


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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  • Tian Lan
    • 1
  • Qi Kang
    • 1
    Email author
  • Jing An
    • 1
    • 2
  • Wei Yan
    • 3
    • 4
  • Lei Wang
    • 1
  1. 1.Department of Control Science and EngineeringKey Lab of Embedded System and Computer-Service, MOE, Tongji UniversityShanghaiChina
  2. 2.School of Electrical and Electronic EngineeringShanghai Institute of TechnologyShanghaiChina
  3. 3.Shanghai Research Institute of MicroElectronicsPeking UniversityShanghaiChina
  4. 4.School of Software and MicroelectronicsPeking UniversityBeijingChina

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