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<p>The dynamic performance enhanced in terms of low-frequency oscillations of the AC microgrid is analyzed in this article. Power system oscillations are the major threat to modern power system stability they are interconnected and operate near to the steady-state limits. The low-frequency electromechanical oscillations are analogous to the stability of the modern power system and are detrimental to the aim of transferring maximum power and maintaining the power system stability. The stability enhancement of the AC microgrid is improved by the execution of the lead-lag conventional power system stabilizer and discrete mode power oscillation damping controller (PODC). A discrete mode power oscillation damping controller is designed to implement the conceptual framework of periodic output feedback (POF) and various sets&#xa0;of input and output sampling time intervals. Both gain and optimal sampling time intervals of the POF controller are determined by utilizing the particle swarm optimization technique. In this consideration, the POF-based discrete controller is a robust power oscillation damping controller that provides distinct benefits compared to conventional power system stabilizers in the damping of low-frequency electromechanical oscillatory modes. The implementation of lead-lag-PSS and POF-based PODC controllers on an AC microgrid power system to&#xa0;enhance the&#xa0;small-signal stability by reducing&#xa0;low-frequency electromechanical oscillations. The testing and implementation of the controllers in the system to maintain the stability and to be obtained into the simpowers system tool of the MATLAB/Simulink platform. The outcomes of the simulation illustrate the effectiveness of discrete mode time-domain PODC with optimum control operational gain and sampling time interval under fault conditions and load perturbation. The performance of POF-based PODC is also verified with the introduced time delay in the input control signal.</p>

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Stability Enhancement of Grid-Connected AC Microgrid with Discrete Design Periodic Output Feedback Controller

  • 期刊论文

  • 发表日期：

    2025年4月3日

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  • Amit Arora,
  • Mahendra Bhadu,
  • Arvind Kumar

摘要

The dynamic performance enhanced in terms of low-frequency oscillations of the AC microgrid is analyzed in this article. Power system oscillations are the major threat to modern power system stability they are interconnected and operate near to the steady-state limits. The low-frequency electromechanical oscillations are analogous to the stability of the modern power system and are detrimental to the aim of transferring maximum power and maintaining the power system stability. The stability enhancement of the AC microgrid is improved by the execution of the lead-lag conventional power system stabilizer and discrete mode power oscillation damping controller (PODC). A discrete mode power oscillation damping controller is designed to implement the conceptual framework of periodic output feedback (POF) and various sets of input and output sampling time intervals. Both gain and optimal sampling time intervals of the POF controller are determined by utilizing the particle swarm optimization technique. In this consideration, the POF-based discrete controller is a robust power oscillation damping controller that provides distinct benefits compared to conventional power system stabilizers in the damping of low-frequency electromechanical oscillatory modes. The implementation of lead-lag-PSS and POF-based PODC controllers on an AC microgrid power system to enhance the small-signal stability by reducing low-frequency electromechanical oscillations. The testing and implementation of the controllers in the system to maintain the stability and to be obtained into the simpowers system tool of the MATLAB/Simulink platform. The outcomes of the simulation illustrate the effectiveness of discrete mode time-domain PODC with optimum control operational gain and sampling time interval under fault conditions and load perturbation. The performance of POF-based PODC is also verified with the introduced time delay in the input control signal.