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| dc.contributor.author | Sakib, Taiyeb Hasan | |
| dc.date.accessioned | 2025-03-13T07:38:38Z | |
| dc.date.available | 2025-03-13T07:38:38Z | |
| dc.date.issued | 2024-03-30 | |
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| dc.identifier.uri | http://hdl.handle.net/123456789/2396 | |
| dc.description | Supervised by Prof. Dr. Ashik Ahmed, Department of Electrical and Electronic Engineering (EEE) Islamic University of Technology (IUT) Board Bazar, Gazipur, Bangladesh This thesis is submitted in partial fulfillment of the requirement for the degree of Master of Science in Electrical and Electronic Engineering, 2024 | en_US |
| dc.description.abstract | Hybrid Renewable Energy System (HRES) has become a popular alternative for locations restricted to national grid connection due to geographical limitations. The study investigates the available renewable resources of a remote village in Mymensingh district of Bangladesh to propose and evaluate optimal sizing and cost of a grid independent HRES. The intermittency of solar irradiance and uncertain variation in load demand are taken into account by adopting probabilistic scenario-based analysis (SBA). Beta distribution and Gaussian distribution are considered for solar irradiance and load uncertainties, respectively. Probability distribution function (PDF) and Cumulative probability distribution function (CDF) are calculated defining different states. Roulette Wheel mechanism generates multiple probabilistic scenarios, load generation models, from PDF and CDF. Objective function is formulated to minimize the total system cost (TSC) for the load generation models generated under defined constraints. Dandelion optimizer (DO), a relatively recent and unexplored metaheuristic algorithm along with two other popular optimization algorithms, Slime Mould Algorithm (SMA) and Real Coded Genetic Algorithm (RCGA) are applied to size the components for different probabilistic scenarios generated by Roulette Wheel. DO outperformed SMA and RCGA in terms of global minima finding and computation time. The statistical summary provides a reasonable estimation about the cost and sizing of the proposed HRES. Analyzing the available resource data and using complementary algorithms ensure accuracy in the estimation of size and cost of the proposed HRES in study area. The algorithms' computation of total system cost, indicating a close proximity, validates the research findings. This research marks the initial effort to achieve optimal sizing of Hybrid Renewable Energy Systems (HRES) by taking into account the uncertainties of source and load demand, within the context of Bangladesh | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Department of Electrical and Elecrtonics Engineering(EEE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh | en_US |
| dc.title | Probabilistic Modeling of Source and Load Uncertainties for Optimal Sizing of Hybrid Renewable Energy System | en_US |
| dc.type | Thesis | en_US |
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2024 [5]