This document presents a study on the modeling and voltage control of a solar-wind hybrid micro-grid, focusing on the integration of a static synchronous compensator (STATCOM) for reactive power compensation. The research demonstrates that optimizing gain parameters of PI controllers using genetic algorithms (GA) and bacteria foraging algorithms (BFA) can improve voltage stability and reduce fluctuations in the system. Results indicate that the optimized controllers significantly outperform conventional controllers, achieving up to a 15% reduction in voltage fluctuation at variable loads.

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Modelling and voltage control of the solar-wind hybrid
micro-grid with optimized STATCOM using GA and BFA
ABSTRACT:
Electricity generation from the wind and solar photovoltaic (PV) systems are highly dependent
upon weather conditions. Their intermittent nature leads to fluctuations in their output.
Therefore, the need for rapid compensation for energy transmission and distribution systems is
increasingly important. Static Synchronous Compensator (STATCOM) can be adopted for
reactive power compensation and for decreasing the voltage fluctuation caused by the system
and renewable energy sources. This study presents modelling of a Solar PV-Wind Hybrid Micro-
grid and the increase of the stable operating limit of the system in case of the incorporation of
STATCOM is examined. The major contribution of this paper is the optimization of gain
parameters of four PI controllers in STATCOM control circuit based on genetic algorithms (GA)
and Bacteria Foraging Algorithm (BFA) and therefore obtaining better responses and voltage
stability in terms of nonlinear nature of solar-wind hybrid micro-grid. The Simulink models of
the system architecture include a wind turbine model, a solar PV power system model and a
STATCOM. It is certified that the voltage fluctuation at the end of the bus bar is reduced by 8%
using conventional PI controller, by 10% for GA-based PI controller, and by 15% for BFA based
PI controller under variable load. The results obtained by GA and BFA-based optimization of PI
controllers are compared with that of the conventional controller and better results attained.
KEYWORDS:
1. Voltage control
2. Bacteria foraging algorithm
3. PV-wind hybrid system
4. Static synchronous compensator

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5. Genetic algorithm
SOFTWARE: MATLAB/SIMULINK
CONCLUSION:
In this study, the impacts of a 2MWwind power induction generator based wind generation
system and a 0.4MW solar power generation system on the grid were investigated. For this
hybrid system, it has been pointed out that STATCOM provides reactive power compensation. A
solar PV-wind power system with a hybrid structure was designed and the voltage profiles at the
output were examined. STATCOM was incorporated to study the voltage profiles in the system
according to capacitive and reactive operating states. On this basis, this work pointed out that
power instability in large transmission systems can be minimized, and the fluctuations caused by
the adoption of renewable energy sources to the system can be diminished. The comparisons of
the results showed that the effectiveness of the STATCOM tuned with GA and BFA was
improved. By acquiring the best values for PI controller gains, voltage swell occurred due to the
change in reactive power has been overcome and a better dynamic response was reached. In
future studies, different optimization techniques and different FACTS devices can be used to
compare and determine a more effective one.
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3. ELECTRICAL PROJECTS USING MATLAB/SIMULINK
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