Risk-averse stochastic dual dynamic programming approach for the operation of a hydro-dominated power system in the presence of wind uncertainty

Título traducido de la contribución: Enfoque de programación dinámico dual estocástico aversivo al riesgo para la operación de un sistema de energía dominado por hidroelectricidad en presencia de incertidumbre del viento

José L. Morillo, Luckny Zéphyr, Juan Fernando Pérez Bernal, C. Lindsay Anderson, Ángela Cadena

Resultado de la investigación: Contribución a RevistaArtículo

Resumen

Los modelos de planificación de operaciones para sistemas de energía dominados por hidro usualmente usan resoluciones temporales bajas debido a la excesiva carga computacional, ignorando así las características a corto plazo de dichos sistemas. Como resultado, en los sistemas junto con la energía eólica, dichos modelos pueden fallar en capturar con precisión la variabilidad del viento, y pueden no tener en cuenta adecuadamente las posibles consecuencias de la incertidumbre en la operación del sistema.
Idioma originalEnglish (US)
Número de artículo105469
PublicaciónInternational Journal of Electrical Power and Energy Systems
Volumen115
DOI
EstadoPublished - feb 1 2020

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Citar esto

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title = "Risk-averse stochastic dual dynamic programming approach for the operation of a hydro-dominated power system in the presence of wind uncertainty",
abstract = "Operation planning models for hydro-dominated power systems usually use low temporal resolutions due to the excessive computational burden, thus ignoring short-term characteristics of such systems. As a result, in systems coupled with wind energy, such models may fail to accurately capture wind variability, and may not appropriately take into account potential consequences of uncertainty on the system operation. This paper addresses this drawback by (i) “controlling” the cost associated with the operation of a hydro-dominated power system equipped with wind power and batteries via a risk-measure and (ii) formulating the short-term load balance as probabilistic constraints in order to hedge against potential extreme wind power scenarios. The risk-averse scheme is embedded in the stochastic dual dynamic programming framework. Simulation results for a case study on a real industrial setting show that hedging the system against the short-term volatility of wind power contributes to mitigating the risk of excessive operations costs or load curtailments, and that the consideration of the decision maker risk profile contributes to decreasing the variability of the solutions. In addition, the results of the application also illustrate the potential of the scheme to assess the energy situation of a country or a region under the penetration of wind energy and batteries deployment.",
author = "Morillo, {Jos{\'e} L.} and Luckny Z{\'e}phyr and {P{\'e}rez Bernal}, {Juan Fernando} and {Lindsay Anderson}, C. and {\'A}ngela Cadena",
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Risk-averse stochastic dual dynamic programming approach for the operation of a hydro-dominated power system in the presence of wind uncertainty. / Morillo, José L.; Zéphyr, Luckny; Pérez Bernal, Juan Fernando; Lindsay Anderson, C.; Cadena, Ángela.

En: International Journal of Electrical Power and Energy Systems, Vol. 115, 105469, 01.02.2020.

Resultado de la investigación: Contribución a RevistaArtículo

TY - JOUR

T1 - Risk-averse stochastic dual dynamic programming approach for the operation of a hydro-dominated power system in the presence of wind uncertainty

AU - Morillo, José L.

AU - Zéphyr, Luckny

AU - Pérez Bernal, Juan Fernando

AU - Lindsay Anderson, C.

AU - Cadena, Ángela

PY - 2020/2/1

Y1 - 2020/2/1

N2 - Operation planning models for hydro-dominated power systems usually use low temporal resolutions due to the excessive computational burden, thus ignoring short-term characteristics of such systems. As a result, in systems coupled with wind energy, such models may fail to accurately capture wind variability, and may not appropriately take into account potential consequences of uncertainty on the system operation. This paper addresses this drawback by (i) “controlling” the cost associated with the operation of a hydro-dominated power system equipped with wind power and batteries via a risk-measure and (ii) formulating the short-term load balance as probabilistic constraints in order to hedge against potential extreme wind power scenarios. The risk-averse scheme is embedded in the stochastic dual dynamic programming framework. Simulation results for a case study on a real industrial setting show that hedging the system against the short-term volatility of wind power contributes to mitigating the risk of excessive operations costs or load curtailments, and that the consideration of the decision maker risk profile contributes to decreasing the variability of the solutions. In addition, the results of the application also illustrate the potential of the scheme to assess the energy situation of a country or a region under the penetration of wind energy and batteries deployment.

AB - Operation planning models for hydro-dominated power systems usually use low temporal resolutions due to the excessive computational burden, thus ignoring short-term characteristics of such systems. As a result, in systems coupled with wind energy, such models may fail to accurately capture wind variability, and may not appropriately take into account potential consequences of uncertainty on the system operation. This paper addresses this drawback by (i) “controlling” the cost associated with the operation of a hydro-dominated power system equipped with wind power and batteries via a risk-measure and (ii) formulating the short-term load balance as probabilistic constraints in order to hedge against potential extreme wind power scenarios. The risk-averse scheme is embedded in the stochastic dual dynamic programming framework. Simulation results for a case study on a real industrial setting show that hedging the system against the short-term volatility of wind power contributes to mitigating the risk of excessive operations costs or load curtailments, and that the consideration of the decision maker risk profile contributes to decreasing the variability of the solutions. In addition, the results of the application also illustrate the potential of the scheme to assess the energy situation of a country or a region under the penetration of wind energy and batteries deployment.

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