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Operational assessment of solar-wind-biomass-hydro-electrolyser hybrid microgrid for load variations using model predictive deterministic algorithm and droop controllers

引用

e-Prime - Advances in Electrical Engineering, Electronics and Energy 2024年 9卷

作者： Ishraque, Md. Fatin Shezan, Sk. A. Shafiullah, G.M. Muyeen, S.M. Alharbi, Talal Alenezi, Ali H Hossen, Md. Delwar Dept. of Electrical Electronic and Communication Engineering Pabna University of Science and Technology Pabna Rajapur 6600 Bangladesh Department of Electrical Engineering and Industrial Automation Engineering Institute of Technology Melbourne 3001 VIC Australia School of Engineering and Energy Murdoch University 6150 WA Australia Department of Electrical Engineering Qatar University Doha 2713 Qatar Department of Electrical Engineering College of Engineering Qassim University Buraydah 52571 Saudi Arabia Remote Sensing Unit Electrical Engineering Department Northern Border University Arar Saudi Arabia Department of Electrical and Electronic Engineering Uttara University Dhaka Bangladesh

This study presents the operation and assessment of a solar-wind-biomass-hydro-electrolyser hybrid microgrid for different types of load variations by using a proprietary derivative-free algorithm (model predictive deterministic algorithm) and voltage IQ droop controller. The proposed hybrid microgrid integrates various renewable energy sources and an electrolyser to generate hydrogen and produce electricity. The objective is to optimize the microgrid's performance and provide reliable power supply to meet varying load demands. The proprietary derivative-free algorithm is used to determine the optimal dispatch of power from each energy source to meet the load demand while minimizing the overall cost of energy. Additionally, a voltage IQ droop and voltage Q droop controller are employed to regulate the voltage, frequency and active power of the microgrid and maintain its stability during load variations. The proposed hybrid microgrid is assessed under different load scenarios for both grid tied and isolated modes. The results demonstrate that the proposed hybrid microgrid with the derivative-free algorithm and voltage droop controllers can effectively operate and provide reliable power supply under different load variations while maintaining the power system stability of the microgrid. Further, the mutual performances of the controller are compared to find the best controller for the specific microgrid. The findings of this study can contribute to the development of efficient and reliable hybrid microgrid systems for sustainable energy production and distribution. © 2024 The Author(s)

关键词： Derivative-free algorithm Hybrid microgrid Load variations model predictive deterministic algorithm Renewable energy sources Voltage IQ droop controller Voltage Q droop controller

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