SMC seminar on Differential Evolution Algorithms Under Multi-Population Strategy Applied To Electric Vehicle Charging

#Optimization
Share

Date:               Thursday, April  27, 2017

Time:               1:30 PM

Location:         ECEC 104

 

Title:                Differential Evolution Algorithms Under Multi-Population Strategy Applied To Electric Vehicle Charging

 

Ishani Chatterjee

Electrical and Computer Engineering Department NJIT

Newark, NJ

 

 

A differential evolution (DE) algorithm is an evolutionary algorithm for optimization problems over a continuous domain. To solve high dimensional global optimization problems, this work investigates the performance of differential evolution algorithms under a multi-population strategy. The original DE algorithm generates an initial set of suitable solutions. The multi population strategy divides the set into several subsets. These subsets evolve independently and connect with each other according to the DE algorithm. This helps in preserving the diversity of the initial set. Furthermore, a comparison of combination of different mutation techniques on several optimization algorithms is studied to verify their performance. Finally, the computational results on the arbitrarily generated experiments, reveal some interesting relationship between the number of subpopulations and performance of the DE. Centralized charging of electric vehicles (Evs) based on battery swapping is a promising strategy for their large-scale utilization in power systems. In this problem, the above algorithm is designed to minimize total charging cost, as

well as to reduce power loss and voltage deviation of power networks. The resulting algorithm and several others are executed on an IEEE 30-bus test system, and the results suggest that the proposed algorithm is one of the method which is effective and promising for optimal EV centralized charging.


  Date and Time

  Location

  Hosts

  Registration


  • Add_To_Calendar_icon Add Event to Calendar
  • 150 Bleeker St.
  • ECE-NJIT
  • Newark, New Jersey
  • United States 07102-1982
  • Contact Event Host
  • Starts 02 April 2017 07:36 PM UTC
  • Ends 26 April 2017 07:36 PM UTC
  • No Admission Charge

  Speakers

Ms. Ishani Chatterjee

Ishani Chatterjee