Probabilistic analysis for maximizing the grid integration of wind power generation

Leonel De Magalhaes Carvalho; Mauro Augusto Da Rosa; Armando Martins Leite Da Silva; Vladimiro Miranda

doi:10.1109/TPWRS.2012.2207411

Probabilistic analysis for maximizing the grid integration of wind power generation

Leonel De Magalhaes Carvalho
, Mauro Augusto Da Rosa
, Armando Martins Leite Da Silva
, Vladimiro Miranda

INESC TEC- Institute for Systems and Computer Engineering, Technology and Science
University of Porto
Universidade Federal de Itajubá

Research output: Contribution to journal › Article › peer-review

29 Citations (Scopus)

Abstract

This paper presents a sequential Monte Carlo simulation algorithm that can simultaneously assess composite system adequacy and detect wind power curtailment events. A simple procedure at the end of the state evaluation stage is proposed to categorize wind power curtailment events according to their cause. Furthermore, the dual variables of the DC optimal power flow procedure are used to identify which transmission circuits are restricting the use of the total wind power available. In the first set of experiments, the composite system adequacy is assessed, incorporating different generation technologies. This is conducted to clarify the usual comparisons made between wind and thermal technologies which, in fact, depend on the performance measure selected. A second set of experiments considering several wind penetration scenarios is also performed to determine the operational rules or system components responsible for the largest amount of wind energy curtailed. The experiments are carried out on configurations of the IEEE-RTS 79 power system.

Original language	English
Article number	6269097
Pages (from-to)	2323-2331
Number of pages	9
Journal	IEEE Transactions on Power Systems
Volume	27
Issue number	4
DOIs	https://doi.org/10.1109/TPWRS.2012.2207411
Publication status	Published - 2012
Externally published	Yes

Funding

Manuscript received December 30, 2011; revised April 10, 2012 and June 06, 2012; accepted June 29, 2012. Date of publication August 15, 2012; date of current version October 17, 2012. This work was supported in part by the Portuguese Foundation for Science and Technology under the grant SFRH/BD/ 43004/2008. Paper no. TPWRS-01252-2011.

Funders	Funder number
FCT - Fundação para a Ciência e a Tecnologia	TPWRS-01252-2011, SFRH/BD/ 43004/2008

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Chronological Monte Carlo simulation
composite system
intermittent energy sources
reliability assessment

Access to Document

10.1109/TPWRS.2012.2207411

Cite this

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title = "Probabilistic analysis for maximizing the grid integration of wind power generation",

abstract = "This paper presents a sequential Monte Carlo simulation algorithm that can simultaneously assess composite system adequacy and detect wind power curtailment events. A simple procedure at the end of the state evaluation stage is proposed to categorize wind power curtailment events according to their cause. Furthermore, the dual variables of the DC optimal power flow procedure are used to identify which transmission circuits are restricting the use of the total wind power available. In the first set of experiments, the composite system adequacy is assessed, incorporating different generation technologies. This is conducted to clarify the usual comparisons made between wind and thermal technologies which, in fact, depend on the performance measure selected. A second set of experiments considering several wind penetration scenarios is also performed to determine the operational rules or system components responsible for the largest amount of wind energy curtailed. The experiments are carried out on configurations of the IEEE-RTS 79 power system.",

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AU - Leite Da Silva, Armando Martins

AU - Miranda, Vladimiro

PY - 2012

Y1 - 2012

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AB - This paper presents a sequential Monte Carlo simulation algorithm that can simultaneously assess composite system adequacy and detect wind power curtailment events. A simple procedure at the end of the state evaluation stage is proposed to categorize wind power curtailment events according to their cause. Furthermore, the dual variables of the DC optimal power flow procedure are used to identify which transmission circuits are restricting the use of the total wind power available. In the first set of experiments, the composite system adequacy is assessed, incorporating different generation technologies. This is conducted to clarify the usual comparisons made between wind and thermal technologies which, in fact, depend on the performance measure selected. A second set of experiments considering several wind penetration scenarios is also performed to determine the operational rules or system components responsible for the largest amount of wind energy curtailed. The experiments are carried out on configurations of the IEEE-RTS 79 power system.

KW - Chronological Monte Carlo simulation

KW - composite system

KW - intermittent energy sources

KW - reliability assessment

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M3 - Article

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Probabilistic analysis for maximizing the grid integration of wind power generation

Abstract

Funding

UN SDGs

Keywords

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