A Stochastic Power Flow Study to Investigate the Effects of Renewable Energy Integration

Hao Quan; Dazhi Yang; Ashwin M. Khambadkone; Dipti Srinivasan

doi:10.1109/ISGT-Asia.2018.8467977

A Stochastic Power Flow Study to Investigate the Effects of Renewable Energy Integration

Hao Quan
, Dazhi Yang
, Ashwin M. Khambadkone
, Dipti Srinivasan

Agency for Science, Technology and Research, Singapore
National University of Singapore

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

Abstract

Renewable energy sources (RESs), such as wind and solar power become an integral part of the energy mix in the vast majority of countries around the world. Due to the variable and uncertain nature of RESs, the power flow of power systems with renewable penetration is no longer deterministic but probabilistic. Power flow study is vital to system daily operations as well as stability and economics. This paper investigates the effects of renewable energy integration on power system from a stochastic power flow point of view. Electrical load is assumed to follow a normal distribution. Wind and solar power scenarios are generated from the Weibull and lognormal probability distribution functions. The modified IEEE 39 bus testing system with RES penetration is modeled in a professional power system simulation software named DIgSILENT PowerFactory and it is further used for testing. Optimal power flow is running in each scenario of the stochastic process and the system without RES penetration is regarded as the base case. The effects of RESs on power system are analyzed comparatively in terms of generation cost, power losses, bus voltage deviations and line loading.

Original language	English
Title of host publication	International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018
Editors	Quan Hao, Anurag Sharma
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	19-24
Number of pages	6
ISBN (Electronic)	9781538642917
DOIs	https://doi.org/10.1109/ISGT-Asia.2018.8467977
State	Published - 18 Sep 2018
Externally published	Yes
Event	2018 International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018 - Singapore, Singapore Duration: 22 May 2018 → 25 May 2018

Publication series

Name	International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018

Conference

Conference	2018 International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018
Country/Territory	Singapore
City	Singapore
Period	22/05/18 → 25/05/18

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Stochastic power flow
line loading
power loss
renewable integration
voltage deviation

Access to Document

10.1109/ISGT-Asia.2018.8467977

Cite this

Quan, H., Yang, D., Khambadkone, A. M., & Srinivasan, D. (2018). A Stochastic Power Flow Study to Investigate the Effects of Renewable Energy Integration. In Q. Hao, & A. Sharma (Eds.), International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018 (pp. 19-24). (International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGT-Asia.2018.8467977

Quan, Hao ; Yang, Dazhi ; Khambadkone, Ashwin M. et al. / A Stochastic Power Flow Study to Investigate the Effects of Renewable Energy Integration. International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018. editor / Quan Hao ; Anurag Sharma. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 19-24 (International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018).

@inproceedings{3fb7c15910c841eead127255148ecd00,

title = "A Stochastic Power Flow Study to Investigate the Effects of Renewable Energy Integration",

abstract = "Renewable energy sources (RESs), such as wind and solar power become an integral part of the energy mix in the vast majority of countries around the world. Due to the variable and uncertain nature of RESs, the power flow of power systems with renewable penetration is no longer deterministic but probabilistic. Power flow study is vital to system daily operations as well as stability and economics. This paper investigates the effects of renewable energy integration on power system from a stochastic power flow point of view. Electrical load is assumed to follow a normal distribution. Wind and solar power scenarios are generated from the Weibull and lognormal probability distribution functions. The modified IEEE 39 bus testing system with RES penetration is modeled in a professional power system simulation software named DIgSILENT PowerFactory and it is further used for testing. Optimal power flow is running in each scenario of the stochastic process and the system without RES penetration is regarded as the base case. The effects of RESs on power system are analyzed comparatively in terms of generation cost, power losses, bus voltage deviations and line loading.",

keywords = "Stochastic power flow, line loading, power loss, renewable integration, voltage deviation",

author = "Hao Quan and Dazhi Yang and Khambadkone, \{Ashwin M.\} and Dipti Srinivasan",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018 ; Conference date: 22-05-2018 Through 25-05-2018",

year = "2018",

month = sep,

day = "18",

doi = "10.1109/ISGT-Asia.2018.8467977",

language = "英语",

series = "International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018",

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}

Quan, H, Yang, D, Khambadkone, AM & Srinivasan, D 2018, A Stochastic Power Flow Study to Investigate the Effects of Renewable Energy Integration. in Q Hao & A Sharma (eds), International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018. International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018, Institute of Electrical and Electronics Engineers Inc., pp. 19-24, 2018 International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018, Singapore, Singapore, 22/05/18. https://doi.org/10.1109/ISGT-Asia.2018.8467977

A Stochastic Power Flow Study to Investigate the Effects of Renewable Energy Integration. / Quan, Hao; Yang, Dazhi; Khambadkone, Ashwin M. et al.
International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018. ed. / Quan Hao; Anurag Sharma. Institute of Electrical and Electronics Engineers Inc., 2018. p. 19-24 (International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Quan, Hao

AU - Yang, Dazhi

AU - Khambadkone, Ashwin M.

AU - Srinivasan, Dipti

PY - 2018/9/18

Y1 - 2018/9/18

N2 - Renewable energy sources (RESs), such as wind and solar power become an integral part of the energy mix in the vast majority of countries around the world. Due to the variable and uncertain nature of RESs, the power flow of power systems with renewable penetration is no longer deterministic but probabilistic. Power flow study is vital to system daily operations as well as stability and economics. This paper investigates the effects of renewable energy integration on power system from a stochastic power flow point of view. Electrical load is assumed to follow a normal distribution. Wind and solar power scenarios are generated from the Weibull and lognormal probability distribution functions. The modified IEEE 39 bus testing system with RES penetration is modeled in a professional power system simulation software named DIgSILENT PowerFactory and it is further used for testing. Optimal power flow is running in each scenario of the stochastic process and the system without RES penetration is regarded as the base case. The effects of RESs on power system are analyzed comparatively in terms of generation cost, power losses, bus voltage deviations and line loading.

AB - Renewable energy sources (RESs), such as wind and solar power become an integral part of the energy mix in the vast majority of countries around the world. Due to the variable and uncertain nature of RESs, the power flow of power systems with renewable penetration is no longer deterministic but probabilistic. Power flow study is vital to system daily operations as well as stability and economics. This paper investigates the effects of renewable energy integration on power system from a stochastic power flow point of view. Electrical load is assumed to follow a normal distribution. Wind and solar power scenarios are generated from the Weibull and lognormal probability distribution functions. The modified IEEE 39 bus testing system with RES penetration is modeled in a professional power system simulation software named DIgSILENT PowerFactory and it is further used for testing. Optimal power flow is running in each scenario of the stochastic process and the system without RES penetration is regarded as the base case. The effects of RESs on power system are analyzed comparatively in terms of generation cost, power losses, bus voltage deviations and line loading.

KW - Stochastic power flow

KW - line loading

KW - power loss

KW - renewable integration

KW - voltage deviation

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AN - SCOPUS:85055527466

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BT - International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018

A2 - Hao, Quan

A2 - Sharma, Anurag

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018

Y2 - 22 May 2018 through 25 May 2018

ER -

Quan H, Yang D, Khambadkone AM, Srinivasan D. A Stochastic Power Flow Study to Investigate the Effects of Renewable Energy Integration. In Hao Q, Sharma A, editors, International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 19-24. (International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018). doi: 10.1109/ISGT-Asia.2018.8467977

A Stochastic Power Flow Study to Investigate the Effects of Renewable Energy Integration

Abstract

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UN SDGs

Keywords

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