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
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
