Óptima gestión y regulación de voltaje en microredes de distribución con generación distribuida y almacenamiento de energía
In this paper an optimization model is formulated to manage and regulate the voltage in micro distribution networks with Distributed Generation (GD) and Energy Storage (AE). The model is generally presented for a micro net of "N" bars, where an equivalent generator upstream is connected t...
| Autor Principal: | Villa Endara, Víctor Alfonso |
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| Formato: | bachelorThesis |
| Idioma: | spa |
| Publicado: |
Universidad Politécnica Salesiana. Carrera de Ingeniería Eléctrica. Sede Quito
2017
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| Materias: | |
| Acceso en línea: |
Villa Endara, V. A. (2017). Óptima gestión y regulación de voltaje en microredes de distribución con generación distribuida y almacenamiento de energía. Universidad Politécnica Salesiana. Carrera de Ingeniería Eléctrica. Sede Quito |
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| Sumario: |
In this paper an optimization model is formulated to manage and regulate the voltage in micro distribution networks with Distributed Generation (GD) and Energy Storage (AE).
The model is generally presented for a micro net of "N" bars, where an equivalent generator upstream is connected to the distribution network in Slack 1; In all other bars you can connect GD and AE. The simulation / optimization period of the model and the sampling frequency can be varied, however, it is recommended 24 hours for the simulation with a sampling frequency every hour. The micro network is mathematically modeled by the admittances matrix; The distributed generation can be of any type, preferably solar and wind; The energy storage is established by battery banks. Voltage regulation is performed by dispatching the energy stored in the batteries in the hours when the voltage of some bar is below the limit. The management is done by optimizing the charge of the batteries, minimizing the cost of the energy needed for the charging process; As a constraint there is the voltage limit on the bars during said process.
Once the objective function and constraints are defined and formulated, a solution methodology based on dynamic programming is presented, which can be developed in any programming software focused on mathematical analysis.
The algorithm is experienced in a case study of a radial type network, which includes: solar and wind type GD; Battery banks; And residential, commercial and industrial loads. The simulation is performed in three scenarios to compare the results; I) without GD and without AE, ii) with GD and without AE and; Iii) with GD and AE. As a result a regulated voltage is obtained and above the lower limit, in all bars with low voltage in the hours of peak load; In addition, battery banks are charged at the least cost of energy. In this sense, the model meets the objectives of the present study.
Finally, the conclusions and recommendations of the formulated model are presented. |
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