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Multi objective optimal reactive power dispatch for enrichment of power system behavior using modified ant lion optimizer

Author

Listed:
  • S. N. V. S. K. Chaitanya

    (V.R. Siddhartha Engineering College
    Annamalai University)

  • R. Ashok Bakkiyaraj

    (Annamalai University)

  • B. Venkateswara Rao

    (V.R. Siddhartha Engineering College)

Abstract

Optimal Reactive Power Dispatch (ORPD) which is a section of optimal power flow is considered as an important optimization problem in the sector of electrical power systems. With the help of ORPD, the operators have control over the voltage limits to retrench the true power losses in transmission lines. This paper proposes multi objective ORPD using Modified Ant Lion Optimizer (MALO). Formulation of ORPD is performed by considering the output voltages of generators, tap changing transformers and switchable capacitor devices. MALO is recently developed metaheuristic optimization technique. This technique is applied on the IEEE 30 bus systems by considering different cases like minimization of active power los, achievement of good voltage profile individually and combination of both the objectives consider as multi objective. For the purpose of multi objective optimization weighted sum optimization technique has been used. It is observed that with multi objective optimization both the objectives optimized effectively and produce the better results. The result shows that performance of the system is improved with MALO as compared to PSO, BA, GWO, TS, SA and HTSSA methods.

Suggested Citation

  • S. N. V. S. K. Chaitanya & R. Ashok Bakkiyaraj & B. Venkateswara Rao, 2023. "Multi objective optimal reactive power dispatch for enrichment of power system behavior using modified ant lion optimizer," 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. 14(1), pages 133-142, March.
    • Handle: RePEc:spr:ijsaem:v:14:y:2023:i:1:d:10.1007_s13198-022-01828-6
    DOI: 10.1007/s13198-022-01828-6
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    References listed on IDEAS

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    1. Tawfiq M. Aljohani & Ahmed F. Ebrahim & Osama Mohammed, 2019. "Single and Multiobjective Optimal Reactive Power Dispatch Based on Hybrid Artificial Physics–Particle Swarm Optimization," Energies, MDPI, vol. 12(12), pages 1-24, June.
    2. Zahir Sahli & Abdellatif Hamouda & Abdelghani Bekrar & Damien Trentesaux, 2018. "Reactive Power Dispatch Optimization with Voltage Profile Improvement Using an Efficient Hybrid Algorithm †," Energies, MDPI, vol. 11(8), pages 1-21, August.
    3. Zelan Li & Yijia Cao & Le Van Dai & Xiaoliang Yang & Thang Trung Nguyen, 2019. "Finding Solutions for Optimal Reactive Power Dispatch Problem by a Novel Improved Antlion Optimization Algorithm," Energies, MDPI, vol. 12(15), pages 1-31, August.
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