Composite reliability evaluation for transmission network planning

Jiashen Teh; Ching-Ming Lai; Yu-Huei Cheng; Jiashen Teh; Ching-Ming Lai; Yu-Huei Cheng

doi:10.3934/energy.2018.1.170

AIMS Energy

2018, Volume 6, Issue 1: 170-186. doi: 10.3934/energy.2018.1.170

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Research article

Composite reliability evaluation for transmission network planning

1.
School of Electrical and Electronic Engineering, Universiti Sains Malaysia (USM); Malaysia
2.
Department of Vehicle Engineering, National Taipei University of Technology, 1, Sec. 3, Chung-Hsiao E. Road, Taipei 106, Taiwan, R.O.C
3.
Department of Information and Communication Engineering, Chaoyang University of Technology, Taichung 41349, Taiwan, R.O.C

Received: 22 November 2017 Accepted: 29 January 2018 Published: 31 January 2018

As the penetration of wind power into the power system increases, the ability to assess the reliability impact of such interaction becomes more important. The composite reliability evaluations involving wind energy provide ample opportunities for assessing the benefits of different wind farm connection points. A connection to the weak area of the transmission network will require network reinforcement for absorbing the additional wind energy. Traditionally, the reinforcements are performed by constructing new transmission corridors. However, a new state-of-art technology such as the dynamic thermal rating (DTR) system, provides new reinforcement strategy and this requires new reliability assessment method. This paper demonstrates a methodology for assessing the cost and the reliability of network reinforcement strategies by considering the DTR systems when large scale wind farms are connected to the existing power network. Sequential Monte Carlo simulations were performed and all DTRs and wind speed were simulated using the auto-regressive moving average (ARMA) model. Various reinforcement strategies were assessed from their cost and reliability aspects. Practical industrial standards are used as guidelines when assessing costs. Due to this, the proposed methodology in this paper is able to determine the optimal reinforcement strategies when both the cost and reliability requirements are considered.
- power system,
- transmission network planning,
- DTR system,
- reliability,
- Monte Carlo,
- ARMA model
Citation: Jiashen Teh, Ching-Ming Lai, Yu-Huei Cheng. Composite reliability evaluation for transmission network planning[J]. AIMS Energy, 2018, 6(1): 170-186. doi: 10.3934/energy.2018.1.170

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Abstract

As the penetration of wind power into the power system increases, the ability to assess the reliability impact of such interaction becomes more important. The composite reliability evaluations involving wind energy provide ample opportunities for assessing the benefits of different wind farm connection points. A connection to the weak area of the transmission network will require network reinforcement for absorbing the additional wind energy. Traditionally, the reinforcements are performed by constructing new transmission corridors. However, a new state-of-art technology such as the dynamic thermal rating (DTR) system, provides new reinforcement strategy and this requires new reliability assessment method. This paper demonstrates a methodology for assessing the cost and the reliability of network reinforcement strategies by considering the DTR systems when large scale wind farms are connected to the existing power network. Sequential Monte Carlo simulations were performed and all DTRs and wind speed were simulated using the auto-regressive moving average (ARMA) model. Various reinforcement strategies were assessed from their cost and reliability aspects. Practical industrial standards are used as guidelines when assessing costs. Due to this, the proposed methodology in this paper is able to determine the optimal reinforcement strategies when both the cost and reliability requirements are considered.

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