Simulation, Modeling and Control of Distributed Hybrid Generation System
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Date
2015-06
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Addis Ababa University
Abstract
An autonomous decentralized distributed generation hybrid system supplies electricity to the user load both in grid tied or standalone modes. This kind of decentralized system is frequently located in remote and inaccessible areas. It is essential for about one third of the world populations who are living in undeveloped or isolated regions and have no access to utility grid. Most people live in remote and rural areas, with low population density, lacking even the basic infrastructure. The grid extension to these locations might not be cost effective option and sometimes technically not feasible even. This decentralized energy generation system is essential for countries which has low installed capacity.
The purpose of this thesis is modeling, simulation and control of a grid ties hybrid power system. It couples wind turbines, photovoltaic generators (PV), alkaline water electrolyser, a storage gas tank, fuel cell (SOFC) to give different system topologies. The system is intended to be an environmentally friendly solution since it tries maximizing the use of a renewable energy source. Besides the grid, electricity is produced by a both wind turbines and PV generators to meet the requirements of user load. During periods of low solar radiation, wind speed and also when the grid system is disconnected because of some reason, the fuel cell stack serves as standby to supply the load required by users.
Different methodologies have been applied to address each objective of this study. Matlab Simulink software is used for the modeling and simulation of the hybrid system. Data were collected for the case study area in order to perform the optimization and financial analysis for the case study area using the Homer optimization software.
Based on the dynamic component models, a simulation model for the proposed hybrid wind/PV/FC energy system has been developed successfully using MATLAB/Simulink.
In the conclusion of this work the most optimum hybrid system is selected for the case study area from the output of Homer hybrid optimization software and comparison of the cost between the optimum homer output with that of the grid extension to the case study area is done.
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Hybrid Generation System