Enhanced grid integration in hybrid power systems using ANFIS-based distributed controllers


연구 분야: Software Development



학회: International Journal of Information Technology


초록

This paper presents a novel framework for enhancing grid integration in hybrid photovoltaic (PV)-wind systems using an Adaptive Neuro-Fuzzy Inference System (ANFIS)-based Distributed Power Flow Controller (DPFC). The proposed system addresses the dynamic challenges of hybrid renewable energy sources, optimizing power flow and improving grid stability. By integrating Maximum Power Point Tracking (MPPT) techniques, the system maximizes efficiency, while the ANFIS-based controller ensures adaptive management of voltage and current, reducing harmonic distortions. Simulation results demonstrate that this approach offers superior performance compared to traditional control methods, enhancing both system reliability and energy distribution quality.


Author Profile
Srinivasa Acharya

Aditya Institute of Technology and Management Tekkali India

Andorra
Author Profile
D. Vijaya Kumar

Department of Electrical and Electronics Engineering Srikakulam India

Andorra
Author Profile
Rajana Venu

Aditya Institute of Technology and Management Tekkali India

Andorra

📄 논문 정보

발행 연도 2025년
인용수 4
출판 국가 Andorra
사이트 Springer
좋아요 수 0

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