A hybrid optimization based energy management between electric vehicle and electricity distribution system
B. Rajani, D. Chandra Sekhar
Abstract
In this manuscript, a hybrid technique is proposed for energy management system (EMS) between electric vehicle (EV) and distribution system. The proposed hybrid system is joined execution of Fertile Field algorithm (FFA) and Gradient Boost decision tree (GBDT) hence it is named as FFA-GBDT technique. The main purpose of the proposed system is minimizing the cost of system, the power loss of the system with optimal energy management of the system. Besides, during the proposed FFA-GBDT based energy management development, this article investigates the cooperative assessment of EMS operation with various consideration such as bidirectional energy trading capabilities of EV fleet arrival time in EVs' driving plan, the PV uncertainty impact on EMS operation depends, the setting dissimilar prioritization factors effect on selling energy back to grid as resources on entire cost of system. The implementation of the proposed model is done at MATLAB/Simulink and execution is assessed using existing methods. Consequently, the outcomes illustrate that the proposed technique is effective for finding the near global optimum solution with less computation and reduces the complexity of the proposed algorithm. Thus, the simulation outcome indicates that effectiveness of the proposed technique and performance of the proposed strategy is compared to existing techniques. The energy consumption of proposed and existing techniques is also analyzed. The energy consumption of the proposed technique is 720.34 KJ.