A Two-Stage Stochastic Dispatch for Power Systems Considering Renewable Energy Integrated into System Reserve

Weijun Teng; Yang Liu; Yafei Zhang; Ziyu Zhang; Haoning Shen; Tao Ding

doi:10.1109/ICARCV57592.2022.10004229

A Two-Stage Stochastic Dispatch for Power Systems Considering Renewable Energy Integrated into System Reserve

Weijun Teng
, Yang Liu
, Yafei Zhang
, Ziyu Zhang
, Haoning Shen
, Tao Ding

School of Electrical Engineering

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

2 Scopus citations

Abstract

The development and utilization of renewable energy is an essential development strategy to cope with the energy crisis. Based on the wind power prediction information, wind power can be integrated into the system reserve to balance the operating economy of thermal power units and renewable energy consumption. Thus, the reserve dispatching model on the basis of the two-stage stochastic optimization model is established in this paper to deal with the uncertainty of wind output. Thus, the reserve dispatching model on the basis of the two-stage stochastic optimization model is established in this paper to deal with the uncertainty of wind power. Numerical results on an advanced IEEE 24-bus system demonstrate the effectiveness of the proposed model. The results show that the operating schedule of wind power incorporated into the reserve can alleviate the anti-peaking shaving characteristics and improve wind power utilization.

Original language	English
Title of host publication	2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	524-528
Number of pages	5
ISBN (Electronic)	9781665476874
DOIs	https://doi.org/10.1109/ICARCV57592.2022.10004229
State	Published - 2022
Event	17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022 - Singapore, Singapore Duration: 11 Dec 2022 → 13 Dec 2022

Publication series

Name	2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022

Conference

Conference	17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022
Country/Territory	Singapore
City	Singapore
Period	11/12/22 → 13/12/22

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

power system reserve
renewable energy
two-stage stochastic optimization

Access to Document

10.1109/ICARCV57592.2022.10004229

Cite this

Teng, W., Liu, Y., Zhang, Y., Zhang, Z., Shen, H., & Ding, T. (2022). A Two-Stage Stochastic Dispatch for Power Systems Considering Renewable Energy Integrated into System Reserve. In 2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022 (pp. 524-528). (2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICARCV57592.2022.10004229

Teng, Weijun ; Liu, Yang ; Zhang, Yafei et al. / A Two-Stage Stochastic Dispatch for Power Systems Considering Renewable Energy Integrated into System Reserve. 2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 524-528 (2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022).

@inproceedings{910f6e606aa74d98ad908d1233e484b1,

title = "A Two-Stage Stochastic Dispatch for Power Systems Considering Renewable Energy Integrated into System Reserve",

abstract = "The development and utilization of renewable energy is an essential development strategy to cope with the energy crisis. Based on the wind power prediction information, wind power can be integrated into the system reserve to balance the operating economy of thermal power units and renewable energy consumption. Thus, the reserve dispatching model on the basis of the two-stage stochastic optimization model is established in this paper to deal with the uncertainty of wind output. Thus, the reserve dispatching model on the basis of the two-stage stochastic optimization model is established in this paper to deal with the uncertainty of wind power. Numerical results on an advanced IEEE 24-bus system demonstrate the effectiveness of the proposed model. The results show that the operating schedule of wind power incorporated into the reserve can alleviate the anti-peaking shaving characteristics and improve wind power utilization.",

keywords = "power system reserve, renewable energy, two-stage stochastic optimization",

author = "Weijun Teng and Yang Liu and Yafei Zhang and Ziyu Zhang and Haoning Shen and Tao Ding",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022 ; Conference date: 11-12-2022 Through 13-12-2022",

year = "2022",

doi = "10.1109/ICARCV57592.2022.10004229",

language = "英语",

series = "2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "524--528",

booktitle = "2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022",

}

Teng, W, Liu, Y, Zhang, Y, Zhang, Z, Shen, H & Ding, T 2022, A Two-Stage Stochastic Dispatch for Power Systems Considering Renewable Energy Integrated into System Reserve. in 2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022. 2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022, Institute of Electrical and Electronics Engineers Inc., pp. 524-528, 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022, Singapore, Singapore, 11/12/22. https://doi.org/10.1109/ICARCV57592.2022.10004229

A Two-Stage Stochastic Dispatch for Power Systems Considering Renewable Energy Integrated into System Reserve. / Teng, Weijun; Liu, Yang; Zhang, Yafei et al.
2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 524-528 (2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022).

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

TY - GEN

T1 - A Two-Stage Stochastic Dispatch for Power Systems Considering Renewable Energy Integrated into System Reserve

AU - Teng, Weijun

AU - Liu, Yang

AU - Zhang, Yafei

AU - Zhang, Ziyu

AU - Shen, Haoning

AU - Ding, Tao

PY - 2022

Y1 - 2022

N2 - The development and utilization of renewable energy is an essential development strategy to cope with the energy crisis. Based on the wind power prediction information, wind power can be integrated into the system reserve to balance the operating economy of thermal power units and renewable energy consumption. Thus, the reserve dispatching model on the basis of the two-stage stochastic optimization model is established in this paper to deal with the uncertainty of wind output. Thus, the reserve dispatching model on the basis of the two-stage stochastic optimization model is established in this paper to deal with the uncertainty of wind power. Numerical results on an advanced IEEE 24-bus system demonstrate the effectiveness of the proposed model. The results show that the operating schedule of wind power incorporated into the reserve can alleviate the anti-peaking shaving characteristics and improve wind power utilization.

AB - The development and utilization of renewable energy is an essential development strategy to cope with the energy crisis. Based on the wind power prediction information, wind power can be integrated into the system reserve to balance the operating economy of thermal power units and renewable energy consumption. Thus, the reserve dispatching model on the basis of the two-stage stochastic optimization model is established in this paper to deal with the uncertainty of wind output. Thus, the reserve dispatching model on the basis of the two-stage stochastic optimization model is established in this paper to deal with the uncertainty of wind power. Numerical results on an advanced IEEE 24-bus system demonstrate the effectiveness of the proposed model. The results show that the operating schedule of wind power incorporated into the reserve can alleviate the anti-peaking shaving characteristics and improve wind power utilization.

KW - power system reserve

KW - renewable energy

KW - two-stage stochastic optimization

UR - https://www.scopus.com/pages/publications/85146640591

U2 - 10.1109/ICARCV57592.2022.10004229

DO - 10.1109/ICARCV57592.2022.10004229

M3 - 会议稿件

AN - SCOPUS:85146640591

T3 - 2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022

SP - 524

EP - 528

BT - 2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022

Y2 - 11 December 2022 through 13 December 2022

ER -

Teng W, Liu Y, Zhang Y, Zhang Z, Shen H, Ding T. A Two-Stage Stochastic Dispatch for Power Systems Considering Renewable Energy Integrated into System Reserve. In 2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 524-528. (2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022). doi: 10.1109/ICARCV57592.2022.10004229

A Two-Stage Stochastic Dispatch for Power Systems Considering Renewable Energy Integrated into System Reserve

Abstract

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UN SDGs

Keywords

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