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Hybrid Fuzzy-Seeker Optimization Algorithm for Dynamic Performance Enhancement of Microgrids Integrating Renewable and Storage Technologies

再生可能エネルギーと蓄電技術を統合したマイクログリッドの動的性能向上のためのハイブリッドファジー・シーカー最適化アルゴリズム (AI 翻訳)

Bharathi G, Kantarao P, Srinivasarao R

Research Squareプレプリント2026-05-15#再生可能エネルギー
DOI: 10.21203/rs.3.rs-9712465/v1
原典: https://doi.org/10.21203/rs.3.rs-9712465/v1

🤖 gxceed AI 要約

日本語

本論文は、太陽光発電、燃料電池、ウルトラキャパシタ、バッテリーを統合したマイクログリッドの電力分配を改善するため、ファジー論理とシーカー最適化を組み合わせたハイブリッド制御手法を提案する。提案手法はPIDコントローラを最適化し、負荷変動下での動的応答と安定性を向上させる。シミュレーション結果は、従来の制御手法と比較して整定時間の短縮と過渡応答の改善を示している。

English

This paper proposes a hybrid control method combining fuzzy logic and seeker optimization algorithm for proportional power sharing among converters in an isolated microgrid integrating PV, fuel cell, ultra-capacitor, and battery storage. The method optimizes PID controllers to enhance dynamic stability under load disturbances. Simulation results show improved settling time and transient response compared to conventional controllers.

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

日本では分散型電源の導入拡大に伴い、マイクログリッドの安定運用が重要となっている。本論文の制御手法は、再生可能エネルギーと蓄電システムの協調制御に寄与し、日本のエネルギーシステムの柔軟性向上に資する可能性がある。

In the global GX context

Microgrids are critical for integrating variable renewables and enhancing grid resilience globally. This paper's hybrid optimization approach offers a practical solution for improving dynamic performance in islanded microgrids, relevant for grid modernization and renewable integration efforts worldwide.

👥 読者別の含意

🔬研究者:This paper provides a novel hybrid fuzzy-seeker optimization method for microgrid control, which can be built upon for advanced control strategies.

🏢実務担当者:Engineers designing microgrid controllers can consider the FSOA-PID approach for better dynamic response and stability under varying loads.

📄 Abstract（原文）

<title>Abstract</title> <p>In this work, a new hybrid control method is developed for the proportional power sharing among converters in the isolated microgrid system. Various renewable energy sources like photovoltaic (PV) system, fuel cell (FC), ultra-capacitor (UC) and battery energy storage systems (BESS) are incorporated for examining the microgrid system. Nonetheless, the difficult task in the PV system is to attain the maximum power in the event of distinct weather conditions. Moreover, an effective and efficient robust control strategy is required to regulate the energy storage devices. To overcome these problems, fuzzy and seeker optimization algorithm (SOA) is hybridized (FSOA) in this work. Further, proportional integral derivative (PID) controller is designed and optimized by FSOA method for improving the system dynamic stability under diverse disturbances. To provide robust control under scenarios of nonlinear load and faults, the dynamic response and stability of the system using the suggested method are examined and contrasted with typical PID/fuzzy/SOAPID controllers. Further, the suggested microgrid system has carried out under various loading conditions such as 50% AC and DC load increment, 50% DC load decrement. The simulation results indicates that the proposed hybrid FSOA-PID method represents better enrichment in terms of improving the dynamic response, reducing settling time, correctness as compared with other studied methods.</p>

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