Stochastic dynamic power flow analysis based on stochastic response surfarce method and ARMA-GARCH model

Nhung Nguyen-Hong, Yosuke Nakanishi

研究成果: Conference contribution

抄録

Nowadays, renewable energy has become a very viable alternative solution to provide electricity. However, the uncertainty of renewable energy changes traditional issues in operation and control of power system. This paper proposes a Stochastic Dynamic Power Flow Analysis to evaluate state variables' probability distribution at any time t. Stochastic process of renewable energy is modeled and simulated by ARMA-GARCH model. The Stochastic Response Surface Method is also applied to increase computational efficiency with the same accuracy as Monte Carlo simulation. Stochastic Dynamic Power Flow Analysis is applied to IEEE 30-bus system and time dependent probability distribution of voltage, frequency and network loss will be analyzed.

元の言語English
ホスト出版物のタイトル2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
出版者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538628904
DOI
出版物ステータスPublished - 2017 10 26
イベント2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017 - Washington, United States
継続期間: 2017 4 232017 4 26

Other

Other2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
United States
Washington
期間17/4/2317/4/26

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ARMA Model
GARCH Model
Power Flow
Renewable Energy
Stochastic Dynamics
Probability distributions
Probability Distribution
Computational efficiency
Random processes
Loss Networks
Response Surface Method
Electricity
Stochastic Methods
Power System
Computational Efficiency
Stochastic Processes
Electric potential
Monte Carlo Simulation
Voltage
Uncertainty

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization

これを引用

Nguyen-Hong, N., & Nakanishi, Y. (2017). Stochastic dynamic power flow analysis based on stochastic response surfarce method and ARMA-GARCH model. : 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017 [8086059] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGT.2017.8086059

Stochastic dynamic power flow analysis based on stochastic response surfarce method and ARMA-GARCH model. / Nguyen-Hong, Nhung; Nakanishi, Yosuke.

2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 8086059.

研究成果: Conference contribution

Nguyen-Hong, N & Nakanishi, Y 2017, Stochastic dynamic power flow analysis based on stochastic response surfarce method and ARMA-GARCH model. : 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017., 8086059, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017, Washington, United States, 17/4/23. https://doi.org/10.1109/ISGT.2017.8086059
Nguyen-Hong N, Nakanishi Y. Stochastic dynamic power flow analysis based on stochastic response surfarce method and ARMA-GARCH model. : 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 8086059 https://doi.org/10.1109/ISGT.2017.8086059
Nguyen-Hong, Nhung ; Nakanishi, Yosuke. / Stochastic dynamic power flow analysis based on stochastic response surfarce method and ARMA-GARCH model. 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017. Institute of Electrical and Electronics Engineers Inc., 2017.
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