METAHEURISTIC OPTIMISATION OF SHUNT ACTIVE POWER FILTER CONTROL FOR POWER QUALITY ENHANCEMENT IN HYBRID RENEWABLE MICROGRIDS
ハイブリッド再生可能エネルギーマイクログリッドにおける電力品質向上のためのシャントアクティブパワーフィルタ制御のメタヒューリスティック最適化 (AI 翻訳)
Gagan Kumar Sahoo and Subhashree Choudhury
🤖 gxceed AI 要約
日本語
本研究では、ハイブリッド再生可能エネルギー源（HRES）ベースのマイクログリッドにおける電力品質問題に対処するため、マウンテンガゼルオプティマイザー（MGO）を用いたシャントアクティブパワーフィルタ（SAPF）のインテリジェント制御戦略を提案する。MGOによりPI制御器のゲインを動的に最適化し、高調波抑制、無効電力補償、システム安定性を向上させる。シミュレーション結果は、従来のPI制御と比較して総合高調波ひずみを42.53%削減するなど、IEEE 519基準に準拠した顕著な性能向上を示した。
English
This study proposes an intelligent control strategy for a shunt active power filter (SAPF) using the Mountain Gazelle Optimiser (MGO) to tune PI controller gains dynamically in hybrid renewable energy source (HRES) microgrids. The MGO-optimized PI controller enhances harmonic mitigation, reactive power compensation, and system stability. Simulation results show a 42.53% reduction in total harmonic distortion under fault conditions, complying with IEEE 519 standards, demonstrating robust performance for renewable-rich microgrids.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では再エネ導入拡大に伴い、マイクログリッドの電力品質維持が重要課題となっている。本論文の制御手法は、高調波や電圧変動に対する実用的な解決策を提供し、日本の系統連系基準（JEAC等）への適合に貢献する可能性がある。
In the global GX context
As global renewable energy penetration increases, power quality issues such as harmonics and voltage sags become critical for grid stability. This paper presents a novel metaheuristic optimization for SAPF control that could be applied globally to enhance power quality in microgrids, supporting the reliability of renewable-rich power systems.
👥 読者別の含意
🔬研究者:Offers a new metaheuristic (MGO) for optimizing PI control in power electronics, with benchmark results against conventional methods.
🏢実務担当者:Provides a validated control approach for SAPF in hybrid microgrids that can improve power quality and reduce downtime, with simulation results under realistic fault conditions.
📄 Abstract（原文）
The growing global demand for electricity, driven by rapid industrialisation and population growth, has intensified the need for sustainable and high-quality power systems. Hybrid renewable energy source (HRES)–based microgrids provide a practical pathway for integrating clean energy; however, the widespread use of nonlinear loads and power electronic interfaces introduces persistent power quality challenges, including harmonic distortion, voltage sags, and unbalanced fault conditions. In this study, an intelligent optimisation-based control strategy for a shunt active power filter (SAPF) is proposed using the Mountain Gazelle Optimiser (MGO), a recently developed bio-inspired metaheuristic algorithm, to tune proportional–integral (PI) controller gains dynamically. The MGO-optimised PI controller adaptively regulates inverter switching signals to enhance harmonic mitigation, reactive power compensation, and overall system stability. A detailed MATLAB/Simulink model of a grid-connected hybrid photovoltaic–fuel cell–battery microgrid is developed to assess the proposed approach under severe power quality disturbances, including voltage sag events and line-to-line-to-ground faults. Simulation results demonstrate that the MGO-based SAPF achieves substantial performance improvements over conventional PI control, including a 42.53% reduction in total harmonic distortion under fault conditions, an 8.08% improvement during voltage sag events, an 80.87% reduction in voltage deviation, and a 3.45% enhancement in power factor, while maintaining compliance with IEEE 519 standards. These results highlight the effectiveness of the proposed MGO-PI control framework as a robust, adaptive power-conditioning solution for enhancing power quality in renewable-rich microgrids and supporting the operational requirements of future intelligent energy systems.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/20703612first seen 2026-06-16 04:15:20
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