Effects on transmission capacity with wind power participation

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

3 Citations (Scopus)

Abstract

The use of wind power to generate electricity is probably the most widely used renewable energy sources around the globe. The major reason may well be of its well developed technology in comparison with other form of renewable. The percentage of wind power installation with respect to the total power generation, also known as the penetration factor, is increasing rapidly year by year in many countries. As wind speed varies randomly and which means that the output of wind generators is intermittent. When a wind farm is connected to a transmission network its effects on the network can be quite different from that of connecting a conventional power station even when connected at the same point. When analyzing the effects of the conventional generator on the network under different load profiles the operator can assume that the generator operates at its maximum capacity. In the case of wind power the situation is more complex as the output of the generator is intermittent. The analysis could be even more complex when more than one wind farm is connected at more than one location. In this paper a method is proposed to analyze the effects of wind power on transmission network. In the study the Weibull Distribution Function is used to represent the stochastic wind speed distribution. The method of Monte Carlo simulation will also be introduced to solve the problem of wind turbine output calculation and the system reliability studies. To estimate the reserve capacity of the transmission line when wind power participated, Monte Carlo Simulation method will be used a second time. The results of the calculation are then used to estimate an Economic Transmission Capacity on transmission lines affected after wind power is introduced. This can be used for transmission lines reinforcement implementation. The IEEE-9bus system will be used an example. The study will include 3 scenarios and will consist of 1 and 2 wind farms participation.
Original languageEnglish
Title of host publication2012 47th International Universities Power Engineering Conference (UPEC) Proceedings
Place of PublicationNew York
PublisherIEEE
Number of pages6
ISBN (Print)9781467328548
DOIs
Publication statusPublished - 2012
Event47th International Universities Power Engineering Conference - London, United Kingdom
Duration: 4 Sep 20127 Sep 2012

Conference

Conference47th International Universities Power Engineering Conference
Abbreviated titleUPEC 2012
CountryUnited Kingdom
CityLondon
Period4/09/127/09/12

Fingerprint

Wind power
Farms
Electric lines
Electric power transmission networks
Weibull distribution
Wind turbines
Power generation
Distribution functions
Reinforcement
Electricity
Economics
Monte Carlo simulation

Keywords

  • wind turbines
  • AC generators
  • Monte Carlo methods
  • Weibull distribution
  • power generation reliability
  • power transmission economics
  • power transmission lines
  • wind power plants

Cite this

Duan, P., Li, X., Kockar, I., & Lo, K. (2012). Effects on transmission capacity with wind power participation. In 2012 47th International Universities Power Engineering Conference (UPEC) Proceedings New York: IEEE. https://doi.org/10.1109/UPEC.2012.6398415
Duan, Pengbiao ; Li, Xin ; Kockar, Ivana ; Lo, Kwok. / Effects on transmission capacity with wind power participation. 2012 47th International Universities Power Engineering Conference (UPEC) Proceedings. New York : IEEE, 2012.
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abstract = "The use of wind power to generate electricity is probably the most widely used renewable energy sources around the globe. The major reason may well be of its well developed technology in comparison with other form of renewable. The percentage of wind power installation with respect to the total power generation, also known as the penetration factor, is increasing rapidly year by year in many countries. As wind speed varies randomly and which means that the output of wind generators is intermittent. When a wind farm is connected to a transmission network its effects on the network can be quite different from that of connecting a conventional power station even when connected at the same point. When analyzing the effects of the conventional generator on the network under different load profiles the operator can assume that the generator operates at its maximum capacity. In the case of wind power the situation is more complex as the output of the generator is intermittent. The analysis could be even more complex when more than one wind farm is connected at more than one location. In this paper a method is proposed to analyze the effects of wind power on transmission network. In the study the Weibull Distribution Function is used to represent the stochastic wind speed distribution. The method of Monte Carlo simulation will also be introduced to solve the problem of wind turbine output calculation and the system reliability studies. To estimate the reserve capacity of the transmission line when wind power participated, Monte Carlo Simulation method will be used a second time. The results of the calculation are then used to estimate an Economic Transmission Capacity on transmission lines affected after wind power is introduced. This can be used for transmission lines reinforcement implementation. The IEEE-9bus system will be used an example. The study will include 3 scenarios and will consist of 1 and 2 wind farms participation.",
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Duan, P, Li, X, Kockar, I & Lo, K 2012, Effects on transmission capacity with wind power participation. in 2012 47th International Universities Power Engineering Conference (UPEC) Proceedings. IEEE, New York, 47th International Universities Power Engineering Conference, London, United Kingdom, 4/09/12. https://doi.org/10.1109/UPEC.2012.6398415

Effects on transmission capacity with wind power participation. / Duan, Pengbiao; Li, Xin; Kockar, Ivana; Lo, Kwok.

2012 47th International Universities Power Engineering Conference (UPEC) Proceedings. New York : IEEE, 2012.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

TY - GEN

T1 - Effects on transmission capacity with wind power participation

AU - Duan, Pengbiao

AU - Li, Xin

AU - Kockar, Ivana

AU - Lo, Kwok

PY - 2012

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N2 - The use of wind power to generate electricity is probably the most widely used renewable energy sources around the globe. The major reason may well be of its well developed technology in comparison with other form of renewable. The percentage of wind power installation with respect to the total power generation, also known as the penetration factor, is increasing rapidly year by year in many countries. As wind speed varies randomly and which means that the output of wind generators is intermittent. When a wind farm is connected to a transmission network its effects on the network can be quite different from that of connecting a conventional power station even when connected at the same point. When analyzing the effects of the conventional generator on the network under different load profiles the operator can assume that the generator operates at its maximum capacity. In the case of wind power the situation is more complex as the output of the generator is intermittent. The analysis could be even more complex when more than one wind farm is connected at more than one location. In this paper a method is proposed to analyze the effects of wind power on transmission network. In the study the Weibull Distribution Function is used to represent the stochastic wind speed distribution. The method of Monte Carlo simulation will also be introduced to solve the problem of wind turbine output calculation and the system reliability studies. To estimate the reserve capacity of the transmission line when wind power participated, Monte Carlo Simulation method will be used a second time. The results of the calculation are then used to estimate an Economic Transmission Capacity on transmission lines affected after wind power is introduced. This can be used for transmission lines reinforcement implementation. The IEEE-9bus system will be used an example. The study will include 3 scenarios and will consist of 1 and 2 wind farms participation.

AB - The use of wind power to generate electricity is probably the most widely used renewable energy sources around the globe. The major reason may well be of its well developed technology in comparison with other form of renewable. The percentage of wind power installation with respect to the total power generation, also known as the penetration factor, is increasing rapidly year by year in many countries. As wind speed varies randomly and which means that the output of wind generators is intermittent. When a wind farm is connected to a transmission network its effects on the network can be quite different from that of connecting a conventional power station even when connected at the same point. When analyzing the effects of the conventional generator on the network under different load profiles the operator can assume that the generator operates at its maximum capacity. In the case of wind power the situation is more complex as the output of the generator is intermittent. The analysis could be even more complex when more than one wind farm is connected at more than one location. In this paper a method is proposed to analyze the effects of wind power on transmission network. In the study the Weibull Distribution Function is used to represent the stochastic wind speed distribution. The method of Monte Carlo simulation will also be introduced to solve the problem of wind turbine output calculation and the system reliability studies. To estimate the reserve capacity of the transmission line when wind power participated, Monte Carlo Simulation method will be used a second time. The results of the calculation are then used to estimate an Economic Transmission Capacity on transmission lines affected after wind power is introduced. This can be used for transmission lines reinforcement implementation. The IEEE-9bus system will be used an example. The study will include 3 scenarios and will consist of 1 and 2 wind farms participation.

KW - wind turbines

KW - AC generators

KW - Monte Carlo methods

KW - Weibull distribution

KW - power generation reliability

KW - power transmission economics

KW - power transmission lines

KW - wind power plants

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U2 - 10.1109/UPEC.2012.6398415

DO - 10.1109/UPEC.2012.6398415

M3 - Conference contribution book

SN - 9781467328548

BT - 2012 47th International Universities Power Engineering Conference (UPEC) Proceedings

PB - IEEE

CY - New York

ER -

Duan P, Li X, Kockar I, Lo K. Effects on transmission capacity with wind power participation. In 2012 47th International Universities Power Engineering Conference (UPEC) Proceedings. New York: IEEE. 2012 https://doi.org/10.1109/UPEC.2012.6398415