Battery energy storage selection based on a novel intermittent wind speed model for improving power system dynamic reliability

Owing to intermittency of wind power and slow ramp rates of conventional generators, a considerable amount of wind energy cannot be effectively utilized during frequency control processes. This paper proposes a technique for power system planners and operators to select or commit power capacity and...

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Main Authors: Liang, Chen, Wang, Peng, Han, Xiaoqing, Qin, Wenping, Jia, Yanbing, Yuan, Tiejiang
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/139791
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1397912020-05-21T08:19:55Z Battery energy storage selection based on a novel intermittent wind speed model for improving power system dynamic reliability Liang, Chen Wang, Peng Han, Xiaoqing Qin, Wenping Jia, Yanbing Yuan, Tiejiang School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Intermittent Wind Speed Model Load Frequency Control Owing to intermittency of wind power and slow ramp rates of conventional generators, a considerable amount of wind energy cannot be effectively utilized during frequency control processes. This paper proposes a technique for power system planners and operators to select or commit power capacity and energy capacity of battery energy storage system (BESS) for mitigating the effects of intermittent wind speeds on reliability and economics. A novel procedure is proposed to determine intermittent wind speeds based on the chaos theory and intermittency-related parameters. The frequency-related reliability and economic indices of a power system with BESS are formulated based on frequency control processes. The effects of BESS on dynamic reliability and economics of a practical power system are investigated using the proposed techniques and models. 2020-05-21T08:19:55Z 2020-05-21T08:19:55Z 2017 Journal Article Liang, C., Wang, P., Han, X., Qin, W., Jia, Y., & Yuan, T. (2018). Battery energy storage selection based on a novel intermittent wind speed model for improving power system dynamic reliability. IEEE Transactions on Smart Grid, 9(6), 6084-6094. doi:10.1109/TSG.2017.2703578 1949-3053 https://hdl.handle.net/10356/139791 10.1109/TSG.2017.2703578 2-s2.0-85055454933 6 9 6084 6094 en IEEE Transactions on Smart Grid © 2017 IEEE. All rights reserved.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Intermittent Wind Speed Model
Load Frequency Control
spellingShingle Engineering::Electrical and electronic engineering
Intermittent Wind Speed Model
Load Frequency Control
Liang, Chen
Wang, Peng
Han, Xiaoqing
Qin, Wenping
Jia, Yanbing
Yuan, Tiejiang
Battery energy storage selection based on a novel intermittent wind speed model for improving power system dynamic reliability
description Owing to intermittency of wind power and slow ramp rates of conventional generators, a considerable amount of wind energy cannot be effectively utilized during frequency control processes. This paper proposes a technique for power system planners and operators to select or commit power capacity and energy capacity of battery energy storage system (BESS) for mitigating the effects of intermittent wind speeds on reliability and economics. A novel procedure is proposed to determine intermittent wind speeds based on the chaos theory and intermittency-related parameters. The frequency-related reliability and economic indices of a power system with BESS are formulated based on frequency control processes. The effects of BESS on dynamic reliability and economics of a practical power system are investigated using the proposed techniques and models.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Liang, Chen
Wang, Peng
Han, Xiaoqing
Qin, Wenping
Jia, Yanbing
Yuan, Tiejiang
format Article
author Liang, Chen
Wang, Peng
Han, Xiaoqing
Qin, Wenping
Jia, Yanbing
Yuan, Tiejiang
author_sort Liang, Chen
title Battery energy storage selection based on a novel intermittent wind speed model for improving power system dynamic reliability
title_short Battery energy storage selection based on a novel intermittent wind speed model for improving power system dynamic reliability
title_full Battery energy storage selection based on a novel intermittent wind speed model for improving power system dynamic reliability
title_fullStr Battery energy storage selection based on a novel intermittent wind speed model for improving power system dynamic reliability
title_full_unstemmed Battery energy storage selection based on a novel intermittent wind speed model for improving power system dynamic reliability
title_sort battery energy storage selection based on a novel intermittent wind speed model for improving power system dynamic reliability
publishDate 2020
url https://hdl.handle.net/10356/139791
_version_ 1681059315266355200