Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Feasibility of Grid-connected Solar-wind Hybrid System with Electric Vehicle Charging Station
Author:
Affiliation:

Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala, India

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
    Abstract:

    Recently, renewable power generation and electric vehicles (EVs) have been attracting more and more attention in smart grid. This paper presents a grid-connected solar-wind hybrid system to supply the electrical load demand of a small shopping complex located in a university campus in India. Further, an EV charging station is incorporated in the system. Economic analysis is performed for the proposed setup to satisfy the charging demand of EVs as well as the electrical load demand of the shopping complex. The proposed system is designed by considering the cost of the purchased energy, which is sold to the utility grid, while the power exchange is ensured between the utility grid and other components of the system. The sizing of the component is performed to obtain the least levelized cost of electricity (LCOE) while minimizing the loss of power supply probability (LPSP) by using recent optimization techniques. The results demonstrate that the LCOE and LPSP for the proposed system are measured at 0.038 $/kWh and 0.19% with a renewable fraction of 0.87, respectively. It is determined that a cost-effective and reliable system can be designed by the proper management of renewable power generation and load demands. The proposed system may be helpful in reducing the reliance on the over-burdened grid, particularly in developing countries.

    表 5 Table 5
    表 7 Table 7
    表 4 Table 4
    表 8 Table 8
    表 1 Table 1
    图1 Schematic diagram of proposed system.Fig.1
    图2 Flowchart of charging methodology for EVs at charging station.Fig.2
    图3 Flowchart for operation strategy of proposed system.Fig.3
    图4 Flowchart for proposed ABC algorithm.Fig.4
    图5 Availability. (a) Solar insolation throughout the year. (b) Wind speed throughout the year. (c) Histogram representing wind speed frequency at site.Fig.5
    图6 Load profile. (a) During winter and summer (weekdays and weekends). (b) Throughout year after 10% variation.Fig.6
    图7 Comparison of convergence characteristics of ABC and PSO algorithms.Fig.7
    图8 Monthly power generation and consumption for whole year.Fig.8
    图9 One day power balance in proposed system. (a) Winter. (b) Summer.Fig.9
    图10 Variation of levelized cost of energy with maximum grid sales and purchase capacities.Fig.10
    图11 One-day power balance. (a) Winter. (b) Summer.Fig.11
    表 6 Table 6
    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:February 08,2019
  • Revised:
  • Adopted:
  • Online: March 22,2021
  • Published: