Design Optimization of a Grid-Tied Hybrid System for a Department at a University with a Dispatch Strategy-Based Assessment

Md. Fatin Ishraque, Akhlaqur Rahman (), Sk. A. Shezan (), G. M. Shafiullah, Ali H Alenezi, Md Delwar Hossen and Noor E Nahid Bintu
Additional contact information
Md. Fatin Ishraque: Department of Electrical, Electronic and Communication Engineering (EECE), Pabna University of Science and Technology (PUST), Pabna 6600, Bangladesh
Akhlaqur Rahman: Department of Electrical Engineering and Industrial Automation, Engineering Institute of Technology, Melbourne Campus, Melbourne, VIC 3001, Australia
Sk. A. Shezan: Department of Electrical Engineering and Industrial Automation, Engineering Institute of Technology, Melbourne Campus, Melbourne, VIC 3001, Australia
G. M. Shafiullah: School of Engineering and Energy, Murdoch University, Perth, WA 6150, Australia
Ali H Alenezi: Remote Sensing Unit, Electrical Engineering Department, Northern Border University, Arar 73213, Saudi Arabia
Md Delwar Hossen: Department of Electrical and Electronic Engineering, Uttara University, Dhaka 1230, Bangladesh
Noor E Nahid Bintu: Department of Computer Science, Victoria University, Sydney, NSW 2000, Australia

Sustainability, 2024, vol. 16, issue 7, 1-17

Abstract: In this research project, the optimal design and design evaluation of a hybrid microgrid based on solar photovoltaics, wind turbines, batteries, and diesel generators were performed. The conventional grid-tied mode was used in addition to dispatch strategy-based control. The study’s test location was the loads in the Electrical, Electronic and Communication Engineering (EECE) department at Pabna University of Science and Technology (PUST), Pabna, Bangladesh. DIgSILENT PowerFactory was employed to determine the power system-based behaviors (electrical power, current, voltage, and frequency) of the proposed hybrid system, while a derivative-free algorithm was used for the expense, optimal size, and emission assessments. While developing the microgrid, load following (LoF) and cycle charging (CyC) control were employed. The microgrid is supposed to have a 23.31 kW peak load requirement. The estimated microgrid’s levelized cost of energy (LE), its net present cost (NC), its operating cost, and its annual harmful gas emissions were estimated in this work. Additionally, since the microgrid is grid-connected, the amount of energy output that might be exported to the grid was also estimated, which will potentially increase during blackouts. The power system responses found in this study ensure that the various microgrid components’ voltage, frequency, current, and power outcomes are steady within the designated range, making the microgrid practical and robust.

Keywords: renewable energy; optimization; dispatch control; grid connectivity; power system analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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