A New Scheme of Harris Hawk Optimizer With Memory Saving Strategy (HHO-MSS) for Controlling Parameters of Power System Stabilizer and Virtual Inertia in Renewable Microgrid Power System

A hybrid controlling method for stability controllers is needed in the interconnected renewable power systems due to the working conditions being diverse from low to high levels of Renewable Energy Sources (RES). Power System Stabilizer and Virtual Inertia (PSS-VI) are viable to provide a wider enhancement effect in the stability. This paper proposes a new approach to enhance the stability of interconnected renewable power systems by hybrid controlling parameters of PSS-VI. A robust optimizer based on Harris Hawk Optimizer (HHO) was established. Interconnected renewable power systems are modeled based on multi-area power systems with different energy resources, including conventional generators, Solar Power Generation (SPG), and Wind Power Generation (WPG). Besides that, the Battery Storage System (BSS) is also dispatched to realize the virtual inertia emulation. The optimal parameters by HHO are compared with the other recent novel algorithms. The optimal controlling parameters of PSS-VI by HHO in interconnected renewable power systems performed in low to high RES conditions. HHO can offer the best fitness value in faster iterations than the compared algorithms. The results of hybrid controlling parameters by HHO can significantly suppress the Rate of Change of Frequency (RoCoF) by 5.99% and 4.89% in low-RES and high-RES conditions, respectively. Moreover, the hybrid controlling parameters for PSS-VI offer smoother response and transition in frequency and interarea power exchange responses.INDEX TERMS harris hawk optimizer, interconnected power system, power system stabilizer, renewable

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Stability Improvement of Sulselrabar System With Integrated Wind Power Plant Using Multi-Band PSS3C Based Mayfly Optimization Algorithm

Ruswandi Djalal,

Robandi,

Almas Prakasa

2024

IEEE Access

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The introduction of additional controllers is essential in modern electric power systems to enhance their stability, particularly during disturbances. One effective method is the implementation of power system stabilizers (PSS). However, precise coordination of PSS equipment is necessary to determine the optimal locations and parameters. This study focuses on the optimal analysis of Multi-Band PSS3C (MB-PSS3C) coordination in integrated Wind Power Plant (WPP) systems in South, Southeast, and West Sulawesi (Sulselrabar). An artificial intelligence approach, utilizing the Mayfly Optimization Algorithm (MOA), is suggested for optimizing both the location and parameters of the PSS. Comparative investigations were conducted to assess the efficacy of MB-PSS3C in comparison with SB-PSS1A and MB-PSS2B, based on previous research. The performance analysis employed the time domain simulation method, reviewing the speed deviation response, field voltage response, PSS output voltage response, and rotor angle response for each generator. Eigenvalue analysis was performed for each control scheme. Load changes were applied to generators 1 (BAKARU) and 11 (WPP SIDRAP) to evaluate the performance of the system. The application of the MOA-based MB-PSS3C results in an increased damping ratio, improved speed response, and a more optimal rotor angle. MB-PSS3C provides a larger additional damping signal to the generator exciter, as indicated by the increase in the field voltage on the generator.

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A New Scheme of Harris Hawk Optimizer With Memory Saving Strategy (HHO-MSS) for Controlling Parameters of Power System Stabilizer and Virtual Inertia in Renewable Microgrid Power System

Cited by 4 publications

References 57 publications

Novel hybrid arithmetic-equilibrium optimizer as robust tuner for power system stabilizer (PSS) parameters in interconnected electrical power system

Novel hybrid arithmetic-equilibrium optimizer as robust tuner for power system stabilizer (PSS) parameters in interconnected electrical power system

A Hybrid Controlling Parameters of Power System Stabilizer and Virtual Inertia Using Harris Hawk Optimizer in Interconnected Renewable Power Systems

Stability Improvement of Sulselrabar System With Integrated Wind Power Plant Using Multi-Band PSS3C Based Mayfly Optimization Algorithm

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