Optimización del uso de la potencia reactiva en el sistema eléctrico ecuatoriano mediante la programación no lineal
In recent years mainly due to factors such as increased consumption of electricity in cargo areas have led to the electric system to work closer to their limits, producing significant changes in reactive power flows in transmission lines constitute one of the causes associated with the instabilit...
Autor Principal: | Chávez Saavedra, Diego Alejandro |
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Formato: | bachelorThesis |
Idioma: | spa |
Publicado: |
2014
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Materias: | |
Acceso en línea: |
http://dspace.ups.edu.ec/handle/123456789/6386 |
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Sumario: |
In recent years mainly due to factors such as increased consumption of electricity in
cargo areas have led to the electric system to work closer to their limits, producing
significant changes in reactive power flows in transmission lines constitute one of the
causes associated with the instability of the power system [1].
Insufficient or poor resource allocation of the reactive power in a power grid leads to
voltage drops in the load centers, limiting the ability to transfer real transmission
systems, leading to problems of voltage instability and voltage collapse risk [2].
Countries like Japan, France, Canada and the USA have reported cases of voltage
collapse with millions losses [3]. To avoid these cases, system operators and
researchers are looking for methods that can improve the optimal scheduling of
reactive power resources considering minimizing power losses in the transmission
lines and the constraints associated with the operation of the system.
This research project will seek to minimize power losses in transmission lines,
resulting reactive power contributed by each element of the power system in order to
achieve a reliable, safe and optimal operation, the effect is to use a software called
“General Algebraic Modeling System-GAMS" which solve the optimization
problem.
GAMS modeling system is a high-level mathematical programming and
optimization, consists of a language compiler and integrated high performance status
[4]. GAMS is designed for complex and large-scale modeling applications, allowing
to build large models that can quickly adapt to new situations. |
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