Loading...

Charging/discharging management of electric vehicles: technical viewpoint

Farzin, H ; Sharif University of Technology | 2017

859 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/SGC.2016.7882943
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2017
  4. Abstract:
  5. This paper investigates three different strategies for centralized charging/discharging management of electric vehicles, their features and the impacts on technical performance of distribution systems. Three goals of load factor maximization, load variance reduction and energy loss minimization are chosen as the main technical factors need to be optimized in the proposed electric vehicles charging/discharging management strategies. In this regard, at first, the mathematical model of these strategies for both cases of with/without vehicle-to-grid (V2G) programs are extracted. Then, solving procedure of the attained optimization problems with different optimization methods are explained. These algorithms are demonstrated on the IEEE 34-bus test system to comprehensively compare various features of these algorithms. The obtained results indicate that load variance reduction criterion has the best performance among the proposed algorithms and can be employed as an efficient tool for charging/discharging management of electric vehicles, especially in real-time PHEVs dispatching applications. © 2016 IEEE
  6. Keywords:
  7. Load factor ; Load variance ; Plug-in hybrid electric vehicle (PHEV) ; System loss ; Vehicle-to-grid (V2G) ; Charging (batteries) ; Crashworthiness ; Electric load loss ; Electric losses ; Electric power transmission networks ; Energy dissipation ; Hybrid vehicles ; Optimization ; Smart power grids ; Vehicle performance ; Vehicles ; Distribution systems ; Load factors ; Management strategies ; Optimization problems ; Plug in hybrid electric vehicles ; Technical performance ; Plug-in hybrid vehicles
  8. Source: 2016 Smart Grids Conference, SGC 2016, 20 December 2016 through 21 December 2016 ; 2017 , Pages 1-6 ; 9781509049882 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/7882943