Electric Vehicle Charging Load Allocation at Residential Locations Utilizing the Energy Savings Gained by Optimal Network Reconductoring

Smart Cities

Josep M. Guerrero¹  Preetham Goli²  Kiran Jasthi³  Srinivasa Rao Gampa³  Debapriya Das⁴  Wajiha Shireen⁵  Pierluigi Siano⁶ 

[1] Center for Research on Microgrids (CROM), Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark;Department of Computer Science and Electrical Engineering, University of Missouri Kansas City, Kansas City, MO 64110, USA;Department of Electrical & Electronics Engineering, Gudlavalleru Engineering College, Gudlavalleru, Krishna District, Vijayawada 521356, India;Department of Electrical Engineering, Indian Institute of Technology, Kharagpur 721302, India;Department of Engineering Technology, University of Houston, Houston, TX 77004, USA;Department of Management & Innovation Systems, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, SA, Italy;

关键词: flower pollination algorithm;    radial distribution system;    particle swarm optimization;    reconductoring;    electric vehicles;   

DOI  :  10.3390/smartcities5010012

来源: DOAJ

【 摘 要 】

In this study, a two-stage methodology based on the energy savings gained by optimal network reconductoring was developed for the sizing and allocation of electric vehicle (EV) charging load at the residential locations in urban distribution systems. During the first stage, the Flower Pollination Algorithm (FPA) was applied to minimize the annual energy losses of the radial distribution system through optimum network reconductoring. A multi-objective function was formulated to minimize investment, peak loss, and annual energy loss costs at different load factors. The results obtained with the flower pollination algorithm were compared with the particle swarm optimization algorithm. In the second stage, a simple heuristic procedure was developed for the sizing and allocation of EV charging load at every node of the distribution system utilizing part of the annual energy savings obtained by optimal network reconductoring. The number of electric cars, electric bikes, and electric scooters that can be charged at every node was computed while maintaining the voltage and branch current constraints. The simulation results were demonstrated on 123 bus and 51 bus radial distribution networks to validate the effectiveness of the proposed methodology.

【 授权许可】

Unknown