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A Novel Hybrid Harris Hawk Optimization–Sine Cosine Algorithm for Congestion Control in Power Transmission Network

Author

Listed:
  • Vivek Kumar

    (BRCM College of Engineering & Technology, Bahal 127028, Haryana, India)

  • R. Narendra Rao

    (Department of Electrical and Electronics Engineering, JNTUA College of Engineering Pulivendula, Pulivendula 516390, India)

  • Md Fahim Ansari

    (Department of Electrical Engineering, Graphic Era Deemed to Be University, Dehradun 248002, India)

  • Vineet Shekher

    (Department of Electrical Engineering, Government Engineering College, Palamu 822118, Jharkhand, India)

  • Kaushik Paul

    (Department of Electrical Engineering, BIT Sindri, Dhanbad 828123, Jharkhand, India)

  • Pampa Sinha

    (School of Electrical Engineering, KIIT University, Bhubaneswar 751024, India)

  • Abdulaziz Alkuhayli

    (Department of Electrical Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia)

  • Usama Khaled

    (Electrical Engineering Department, Faculty of Energy Engineering, Aswan University, Aswan 81528, Egypt)

  • Mohamed Metwally Mahmoud

    (Electrical Engineering Department, Faculty of Energy Engineering, Aswan University, Aswan 81528, Egypt)

Abstract

In a deregulated power system, managing congestion is crucial for effective operation and control. The goal of congestion management is to alleviate transmission line congestion while adhering to system constraints at minimal cost. This research proposes a hybrid Harris Hawk Optimization–Sine Cosine Algorithm (hHHO-SCA) for an efficient generation rescheduling approach to achieve the lowest possible congestion cost. The hybridization has been performed by introducing the features of SCA in the HHO to boost the exploration and exploitation steps of HHO, providing an efficient global solution and effectively optimizing rescheduled power output. The effectiveness of this methodology is evaluated using IEEE 30 and IEEE 118-bus test systems, taking into account system parameters. The potency of the proposed method is analyzed by comparing the results of the hHHO-SCA with those from other recent optimization techniques. The findings show that the hHHO-SCA outperforms other methods by avoiding local optima and demonstrating promising convergence characteristics.

Suggested Citation

  • Vivek Kumar & R. Narendra Rao & Md Fahim Ansari & Vineet Shekher & Kaushik Paul & Pampa Sinha & Abdulaziz Alkuhayli & Usama Khaled & Mohamed Metwally Mahmoud, 2024. "A Novel Hybrid Harris Hawk Optimization–Sine Cosine Algorithm for Congestion Control in Power Transmission Network," Energies, MDPI, vol. 17(19), pages 1-25, October.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:19:p:4985-:d:1492866
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