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Enhanced ant colony optimization to solve the optimal power flow with ecological emission

Author

Listed:
  • Vijay Raviprabakaran

    (Anna University Regional Campus)

  • Ravichandran Coimbatore Subramanian

    (Sri Ramakrishna Engineering College)

Abstract

Enhanced ant colony optimization algorithm is exhibit to resolve the optimal power flow with ecological emission in this article. The chief objective is to reduce the total fuel cost of fossil thermal power generators and ecological emission. The exhibited technique sustains the satisfactory level of retaining the bus voltages, real and reactive power and power flow in transmission lines. It minimizes the computational time with satisfying all the power flow limitations. The projected technique validates on an IEEE 30 and 118 bus test system. The simulation results were promising when compared with the other techniques. Further, the outcomes clear that this technique is effective for resolving the power system with large ranged networks.

Suggested Citation

  • Vijay Raviprabakaran & Ravichandran Coimbatore Subramanian, 2018. "Enhanced ant colony optimization to solve the optimal power flow with ecological emission," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(1), pages 58-65, February.
    • Handle: RePEc:spr:ijsaem:v:9:y:2018:i:1:d:10.1007_s13198-016-0471-x
    DOI: 10.1007/s13198-016-0471-x
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    Citations

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    Cited by:

    1. Ali Salmasnia & Sadegh Noori & Hadi Mokhtari, 2019. "A redundancy allocation problem by using utility function method and ant colony optimization: tradeoff between availability and total cost," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(3), pages 416-428, June.
    2. Zelan Li & Yijia Cao & Le Van Dai & Xiaoliang Yang & Thang Trung Nguyen, 2019. "Optimal Power Flow for Transmission Power Networks Using a Novel Metaheuristic Algorithm," Energies, MDPI, vol. 12(22), pages 1-36, November.
    3. Mandhir Kumar Verma & Vivekananda Mukherjee & Vinod Kumar Yadav & Santosh Ghosh, 2020. "Constraints for effective distribution network expansion planning: an ample review," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(3), pages 531-546, June.
    4. Kuang-Hua Hu & Ming-Fu Hsu & Fu-Hsiang Chen & Mu-Ziyun Liu, 2021. "Identifying the key factors of subsidiary supervision and management using an innovative hybrid architecture in a big data environment," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-27, December.
    5. Lenin Kanagasabai, 2022. "Real power loss reduction by quantum based Ptilonorhynchus violaceus optimization and Haliastur Indus algorithms," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(4), pages 1913-1931, August.

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