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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Sustainable Energy Systems
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1389822

Multi-Objective based Economic Dispatch and Loss Reduction in Presence of Electric Vehicles considering Different Optimization Techniques

Provisionally accepted
David Hmingthanmawia David Hmingthanmawia 1Subhasish Deb Subhasish Deb 1Subir Datta Subir Datta 1Ksh Robert Singh Ksh Robert Singh 1Umit Cali Umit Cali 2,3*Taha Selim Ustun Taha Selim Ustun 4*
  • 1 Mizoram University, Aizawl, Mizoram, India
  • 2 Norwegian University of Science and Technology, Trondheim, Sør-Trøndelag, Norway
  • 3 University of York, York, United Kingdom
  • 4 FREA, Tsukuba, Japan

The final, formatted version of the article will be published soon.

    In this paper, a multiobjective based economic dispatch management including EVs is employed to minimize the generator cost and active power loss. The entire system is retained for keeping in mind the economic operation of the whole system. Then, EVs are introduced to the system, taking into account vehicle requirements and load demands and considering EV constraints. The target of the proposed work is to demonstrate how effectively large scale EVs can participate in valley filling and peak load shaving along with multi-objective based cost and loss reduction. The proposed optimization problem is employed in an IEEE 30 bus system. The Multi-objective Grasshopper Optimization Algorithm is compared with Ant-Lion optimization to observe the minimum cost and total loss of the system. The results show that the total generation cost and power loss of the system decreases due to V2G mode of operation. Also, EVs provide an alternative method for dealing with peak load, while filling the off-peak hours effectively. The total generation cost and power loss for 24 hours using MOGOA without implementation of EVs are 8757.128 $/hr and 65.28509 MW. And with EVs, the total generation cost and power loss for 24 hours are 8617.077 $/hr and 55.65349 MW. Thus, with the implementation of EVs, the total generation cost reduced by 1.59 % and the total power loss reduced by 14.75 %. And with MOALO, the total generation cost and power loss for 24 hours without EVs are 8977.077 $/hr and 44.20877 MW. And with EVs, the total generation cost and power loss for 24 hours are 8923.529 $/hr and 41.69524 MW. Thus, with the implementation of EVs, the total generation cost reduced by 0.59 % and the total power loss reduced by 5.68%. The analysis of the results demonstrates how effectively EVs in V2G mode can reduce the dependency over the grid power during the time of peak load demand.

    Keywords: Electric Vehicles, Vehicle-to-grid, multi-objective optimization, economic dispatch, and loss reduction

    Received: 22 Feb 2024; Accepted: 27 Sep 2024.

    Copyright: © 2024 Hmingthanmawia, Deb, Datta, Singh, Cali and Ustun. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Umit Cali, Norwegian University of Science and Technology, Trondheim, 7491, Sør-Trøndelag, Norway
    Taha Selim Ustun, FREA, Tsukuba, Japan

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.