Multi-objective Optimal Allocation of Distributed Generation Considering Environmental Target and Uncertainty of EV

  • Huazhen Cao
  • Yaxiong Wu
  • Chong Gao
  • Junxi Tang
  • Lvpeng ChenEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 585)


Based on the typical timing characteristics of Distributed Generation (DG) and user power load, considering the uncertainty of large-scale electric vehicles and the environmental benefits of different distributed power sources, the operating cost, network loss and environmental benefit of the distribution network are used as the objective function. In this paper, a Monte Carlo simulation method is used to simulate the charging characteristic of the electric vehicle, and the model is solved by the binary bat algorithm. By comparing with a single-purpose distributed power optimization configuration model, the simulation results verify the rationality and validity of the proposed model and method.


Distributed generation Electric vehicle Time-sequence characteristics of load Multi-objective bat optimization algorithm 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Huazhen Cao
    • 1
    • 2
  • Yaxiong Wu
    • 1
    • 2
  • Chong Gao
    • 1
    • 2
  • Junxi Tang
    • 1
    • 2
  • Lvpeng Chen
    • 3
    Email author
  1. 1.Grid Planning & Research Center, Guangdong Power Grid Co., Ltd., CSGGuangzhouChina
  2. 2.Guangdong Power Grid Development Research Institute Co., Ltd.GuangzhouChina
  3. 3.Suzhou Huatian Power Technology Co., Ltd.SuzhouChina

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