Version 1
: Received: 1 October 2018 / Approved: 2 October 2018 / Online: 2 October 2018 (14:03:38 CEST)
How to cite:
Hizkiel, A.; Lakshmi, G. Modeling and Simulation of Fuzzy logic based Hybrid power for
Electrification System in case of Ashuda Villages. Preprints2018, 2018100025. https://doi.org/10.20944/preprints201810.0025.v1
Hizkiel, A.; Lakshmi, G. Modeling and Simulation of Fuzzy logic based Hybrid power for
Electrification System in case of Ashuda Villages. Preprints 2018, 2018100025. https://doi.org/10.20944/preprints201810.0025.v1
Hizkiel, A.; Lakshmi, G. Modeling and Simulation of Fuzzy logic based Hybrid power for
Electrification System in case of Ashuda Villages. Preprints2018, 2018100025. https://doi.org/10.20944/preprints201810.0025.v1
APA Style
Hizkiel, A., & Lakshmi, G. (2018). Modeling and Simulation of Fuzzy logic based Hybrid power for
Electrification System in case of Ashuda Villages. Preprints. https://doi.org/10.20944/preprints201810.0025.v1
Chicago/Turabian Style
Hizkiel, A. and Gantasala Lakshmi. 2018 "Modeling and Simulation of Fuzzy logic based Hybrid power for
Electrification System in case of Ashuda Villages" Preprints. https://doi.org/10.20944/preprints201810.0025.v1
Abstract
ABSTRACT
Ethiopia is a developing country, where majority of the population lives in rural areas without access to
electricity. 83% of the total population of the country use traditional biomass energy as a basic source of
energy. In contrast, the country is endowed with sufficient renewable energy resources which can be used
as a standalone electric energy supply system for electrifying remote areas of the country. These
resources are mainly micro hydropower and wind which can be used individually or the best combination
of one another. The application of hybrid renewable energy system has become an important alternative
solution for rural electrification program.
The Modeling and control of a hybrid PV-Wind-Hydro DG system is also addressed. Dynamic models for
the major system components, namely, wind energy conversion system, PV energy conversion system,
hydro, inverter, and overall fuzzy logic controller units are developed. Then, a simulation model for the
proposed hybrid power system has been developed using MATLAB /Simulink environment. This is done
by creating subsystem sets of the major dynamic component models and then assembling into a single
aggregate model. The overall power management strategy for coordinating and/or controlling the
different energy sources is also presented in the thesis work. Generally there are 800 households with
total electric demand of 71.6KW.To satisfy this demand 52%, 35% and 13% is to be contributed from
wind/hydro/solar respectively. To use the power economically fuzzy logic controller is used. The
controller monitors the demand and the available sources and then switches to the appropriate power
supply according to the written rules. Simulations have been carried out to verify the system dynamic
performance using a practical load profile and weather data. The result shows that the overall power
management strategy is effective and the load demand is balanced. To complete this work, a grid
extension from the closest substation has been compared with hybrid system. Cost of the grid extension is
estimated based on the data obtained from EEP office. This is done in order to compare the cost of the
designed hybrid power system against the cost of grid extension. The result shows that breakeven grid
extension distance to be 23.9km which indicates that grid extension is preferable.
Keywords
Key Words: PV-Wind-Hydro Hybrid Power System, Dynamic Modeling, Load Profile, Grid
Extension, smart micro grid, fuzzy logic controller, and mat lab/Simulink
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
