Capacity Evaluation of AC/DC Hybrid Micro-grid-Distributed Generation Considering V2G

The increasing number of DC loads, such as electric vehicles (EVs), has resulted in micro-grid undergoing difficulty in satisfying the various demands of such loads. The study develops a multi-objective capacity optimization allocation model for hybrid micro-grid on the bases of users' satisfaction and the orderly charging/discharging of EVs. The proposed model aims to reduce the cost of the capacity allocation of AC/DC hybrid micro-grid and improve users' satisfaction. Particle swarm optimization algorithm is used to address the capacity optimization of hybrid micro-grid in EVs across scenarios. This study verified the rationality and effectiveness of the proposed capacity optimization model by comparing and analyzing the influence of capacity optimization on the orderly/disorderly charging/discharging of EVs and users' satisfaction.

Automated summary

A multi-objective capacity optimization allocation model was developed to reduce the cost of capacity allocation in AC/DC hybrid micro-grids and improve user satisfaction. The particle swarm optimization algorithm was used to address capacity optimization in EVs across scenarios, proving the rationality and effectiveness of the proposed model.