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<p>The low inertia system and Low-Frequency Oscillation (LFO) oscillation between 0.1-2 Hz will affect the power system stability. The occurrence of short circuit faults within milliseconds ultimately shifts the load supply from the main source to other generating units, leading to the loss of generator synchronization. By reducing LFOs during stress conditions, the power transfer between loads and generation becomes more stable and controlled. The most alarming issue is the enhancement of power transfer capability between two or more interconnected areas that are being addressed to be solved in this paper. To ensure optimized power flow, centralized control, damp LFOs, and robust performance during critical fault are required. An advanced third generation control for Smart Grid (SG) utilizing the Flexible AC Transmission System (FACTS), in particular Generalized Unified Power Flow Control (GUPFC), has been proposed with hybrid control in this paper. The objective is to create the importance of an online supplementary centralized controller to damp LFOs and to improve the transfer of power between loads to another generation source and the effect of the system due to weak inertia that causes asynchronization. The proposed supplementary controller is the Hybrid Adaptive Fuzzy Logic Neural Network Controller (HAFLNNC), which mitigates the system oscillation. It increases dynamic performance, reduces fluctuation across the DC capacitor, and maintains the bus voltage within a short period of cycle, which is evidenced in the results. Furthermore, the test system has been modelled in a two-area system with synchronous and asynchronous generators, Renewable Energy Resources (RES) as wind farms, grid to vehicles, PV farms, and residential load is considered. Finally, utilizing an SG environment, the performance of symmetrical three-phase to grid faults is critically analyzed in MATLAB/Simulink. At the end the overshoot and setting time improved by about 80% by using the suggested controller where it was indicated that the suggested controller managed to maintain the LFO to avoid generators shutdown.</p>

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Generalized Unified Power Flow Controller for Low Oscillation Damping for Smart Grid Using Adaptive Centralized Control

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年2月9日

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  • Nadia Zeb,
  • Shamsul Aizam Zulkifli,
  • Muhamad Syazmie Sepeeh,
  • Mubashir Hayat Khan

摘要

The low inertia system and Low-Frequency Oscillation (LFO) oscillation between 0.1-2 Hz will affect the power system stability. The occurrence of short circuit faults within milliseconds ultimately shifts the load supply from the main source to other generating units, leading to the loss of generator synchronization. By reducing LFOs during stress conditions, the power transfer between loads and generation becomes more stable and controlled. The most alarming issue is the enhancement of power transfer capability between two or more interconnected areas that are being addressed to be solved in this paper. To ensure optimized power flow, centralized control, damp LFOs, and robust performance during critical fault are required. An advanced third generation control for Smart Grid (SG) utilizing the Flexible AC Transmission System (FACTS), in particular Generalized Unified Power Flow Control (GUPFC), has been proposed with hybrid control in this paper. The objective is to create the importance of an online supplementary centralized controller to damp LFOs and to improve the transfer of power between loads to another generation source and the effect of the system due to weak inertia that causes asynchronization. The proposed supplementary controller is the Hybrid Adaptive Fuzzy Logic Neural Network Controller (HAFLNNC), which mitigates the system oscillation. It increases dynamic performance, reduces fluctuation across the DC capacitor, and maintains the bus voltage within a short period of cycle, which is evidenced in the results. Furthermore, the test system has been modelled in a two-area system with synchronous and asynchronous generators, Renewable Energy Resources (RES) as wind farms, grid to vehicles, PV farms, and residential load is considered. Finally, utilizing an SG environment, the performance of symmetrical three-phase to grid faults is critically analyzed in MATLAB/Simulink. At the end the overshoot and setting time improved by about 80% by using the suggested controller where it was indicated that the suggested controller managed to maintain the LFO to avoid generators shutdown.