Abstract:
Current power generation scenarios all over the world are not climate friendly as the
generation systems are mainly dependent on fossil fuels that produce greenhouse gas (GHG)
which contributes to global warming. This thesis presents an economical expediency of gridconnected
hybrid (PV/Wind turbine) power system model by investigating the potentials of
the wind and solar energy. It also conducts a feasibility analysis to explore the potentialities
of green energy at different locations namely Kuakata, Sitakunda, Magnamaghat, Dinajpur,
Rangpur and Khulna in Bangladesh. Initially, a flowchart of the proposed hybrid power
system model is developed and then a hybrid model is designed with varying the
contributions of renewable resources for the considered coastal region and the northern part
of Bangladesh using a software tool named Hybrid Optimization of Multiple Energy
Resources (HOMER). The simulation results are calculated for finding the cost of energy
(COE), net present cost (NPC), total annualize cost, annual real interest rate, capital recovery
factor (CRF), fraction of renewable energy (RE) contribution and greenhouse gas emission in
terms of tons/year from which an optimum combination of RE sources and fraction of
different RE sources in the designed hybrid power plant are determined. Sensitivity variables,
such as range of wind speed, solar radiation, PV panel price, wind turbine hub height, are
defined as inputs during simulation. The optimization process is carried out repeatedly for the
sensitivity variables and the results are refined accordingly. Also, a comparison is made
between off-grid and grid connected models on the basis of COE and GHG emission. The
simulation results show that the proposed grid-PV-wind hybrid power system model is most
suitable, economical and eco-friendly for the considered regions in Bangladesh.
Description:
This thesis is submitted to the Department of Electrical and Electronic Engineering, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Science in Electrical and Electronic Engineering, July 2016.
Cataloged from PDF Version of Thesis.
Includes bibliographical references (pages 108-115).