Operational Assessment of Solar-Wind-Biomass-Hydro-Electrolyser Hybrid Microgrid for Load Variations Using Model Predictive Deterministic Algorithm and Droop Controllers

Md. Fatin Ishraque; Sk. A. Shezan; G.M. Shafiullah; S M Muyeen; Talal Alharbi; Ali H Alenezi; Md Delwar Hossen

doi:10.1016/j.prime.2024.100745

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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

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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

Md. Fatin Ishraque, Sk. A. Shezan, G.M. Shafiullah, S M Muyeen, Talal Alharbi, Ali H Alenezi and Md Delwar Hossen

e-Prime, Vol.9, 100745

2024

DOI: https://doi.org/10.1016/j.prime.2024.100745

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Abstract

Derivative-free algorithm

Hybrid microgrid

Load variations

Model Predictive Deterministic Algorithm

Renewable energy sources

Voltage IQ droop controller

Voltage Q droop controller

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.

Details

Title: Operational Assessment of Solar-Wind-Biomass-Hydro-Electrolyser Hybrid Microgrid for Load Variations Using Model Predictive Deterministic Algorithm and Droop Controllers
Authors/Creators: Md. Fatin Ishraque - Pabna University of Science and Technology
Sk. A. Shezan - Department of Electrical Engineering and Industrial Automation, Engineering Institute of Technology,Melbourne, VIC 3001, Australia
G.M. Shafiullah - Murdoch University
S M Muyeen - Qatar University
Talal Alharbi - Qassim University
Ali H Alenezi - Northern Border University
Md Delwar Hossen - Uttara University
Publication Details: e-Prime, Vol.9, 100745
Publisher: Elsevier Ltd.
Identifiers: 991005700254307891
Murdoch Affiliation: School of Engineering and Energy; Centre for Water, Energy and Waste
Language: English
Resource Type: Journal article

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