Título:
Aplicación del método Point Estimation para el cálculo de flujo de carga probabilístico en la red de transmisión uruguaya
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Autor:
Scopelli, Vittorio
Pena, Pablo
Pena, Pablo
Tutor:
Tipo de documento:
Preprint
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Palabras clave:
Estimation theory
Load flow
Monte Carlo methods
Power transmission planning
Probability
Renewable energy sources
Load flow
Monte Carlo methods
Power transmission planning
Probability
Renewable energy sources
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Año de publicación:
2020
Contenido:
Resumen:
Renewable energies are revolutionizing the market and electrical networks. These changes present a challenge for all agents of the electrical system; in particular, for those who want to predict or plan the state of the electrical network in the future. In recent years, the intermittent nature of these energy sources has become a planning problem that many have tried to solve, proposing different methods. Since 2013, UTE, the national electricity company of Uruguay, has been implementing algorithms to solve the probabilistic load flow calculation based on the Monte Carlo method. In this work, the use of Point Estimation is proposed, an alternative method faster than Monte Carlo, although less precise, and which has a strong support in recent scientific publications. A real application of the Point Estimation algorithm to the Uruguayan network is presented and it is compared with the classic Monte Carlo Method. The results on the Uruguayan system are promising, showing that the method allows to capture the general performance of the system in a time at least one order less than Monte Carlo.
Descripción:
Presentado y publicado en IEEE T&D LA 2020, Montevideo, Uruguay, 28 sep-2 oct., pp. 1-6.
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Financiadores:
ANII_FSE_1_2018_1_153061
Citación:
Scopelli, V. y Pena, P. Aplicación del método Point Estimation para el cálculo de flujo de carga probabilístico en la red de transmisión uruguaya [Preprint]. Publicado en : IEEE T&D LA 2020, Montevideo, Uruguay, 28 sep-2 oct. 6 p. DOI: 10.1109/TDLA47668.2020.9326163.
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Licencia:
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
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| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| SP20.pdf | Preprint | 420.18 KB | Adobe PDF |