All-scenario-feasible optimization method for coordinated scheduling of security constrained power grids with uncertain renewable and storable energy sources

Zhentong Shao; Qiaozhu Zhai; Xiaohong Guan

doi:10.23919/ChiCC.2019.8866316

All-scenario-feasible optimization method for coordinated scheduling of security constrained power grids with uncertain renewable and storable energy sources

Zhentong Shao
, Qiaozhu Zhai
, Xiaohong Guan

Department of Electrical and Computer Engineering

Xi'an Jiaotong University

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

6 Scopus citations

Abstract

The energy structure of China's power grids is under great changes. The participation of renewable energy and the construction of storable energy have brought new challenges to the operation of power grids. These make the scheduling of multiple power sources become very valuable to both system operators and researchers. Hence, this paper proposed an all-scenario-feasible (ASF) optimization method for the coordinated scheduling of security constrained power grids with uncertain renewable and storable energy sources. The method of this paper has a good performance in the accommodation of renewable energy. It is able to guarantee the nonanticipativity of storable energy while coping with the random fluctuation of renewable energy. Besides, this method is based on the mixed-integer linear programming (MILP) and it will be explained on the typical power grid in this paper, which has wind power, thermal power and pumped storage plants (PSPs). The conclusions of this method are also applicable to other similar sources and the optimization results obtained from the case study demonstrate that our method is effective and of good performance in dealing with uncertainty of renewable energy.

Original language	English
Title of host publication	Proceedings of the 38th Chinese Control Conference, CCC 2019
Editors	Minyue Fu, Jian Sun
Pages	2187-2192
Number of pages	6
ISBN (Electronic)	9789881563972
DOIs	https://doi.org/10.23919/ChiCC.2019.8866316
State	Published - Jul 2019
Event	38th Chinese Control Conference, CCC 2019 - Guangzhou, China Duration: 27 Jul 2019 → 30 Jul 2019

Publication series

Name	Chinese Control Conference, CCC
Volume	2019-July
ISSN (Print)	1934-1768
ISSN (Electronic)	2161-2927

Conference

Conference	38th Chinese Control Conference, CCC 2019
Country/Territory	China
City	Guangzhou
Period	27/07/19 → 30/07/19

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Coordinated Scheduling
Mixed-Integer Linear Programming
Nonanticipativity
Renewable Energy
Storable Energy Sources

Access to Document

10.23919/ChiCC.2019.8866316

Cite this

Shao, Z., Zhai, Q., & Guan, X. (2019). All-scenario-feasible optimization method for coordinated scheduling of security constrained power grids with uncertain renewable and storable energy sources. In M. Fu, & J. Sun (Eds.), Proceedings of the 38th Chinese Control Conference, CCC 2019 (pp. 2187-2192). Article 8866316 (Chinese Control Conference, CCC; Vol. 2019-July). https://doi.org/10.23919/ChiCC.2019.8866316

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title = "All-scenario-feasible optimization method for coordinated scheduling of security constrained power grids with uncertain renewable and storable energy sources",

abstract = "The energy structure of China's power grids is under great changes. The participation of renewable energy and the construction of storable energy have brought new challenges to the operation of power grids. These make the scheduling of multiple power sources become very valuable to both system operators and researchers. Hence, this paper proposed an all-scenario-feasible (ASF) optimization method for the coordinated scheduling of security constrained power grids with uncertain renewable and storable energy sources. The method of this paper has a good performance in the accommodation of renewable energy. It is able to guarantee the nonanticipativity of storable energy while coping with the random fluctuation of renewable energy. Besides, this method is based on the mixed-integer linear programming (MILP) and it will be explained on the typical power grid in this paper, which has wind power, thermal power and pumped storage plants (PSPs). The conclusions of this method are also applicable to other similar sources and the optimization results obtained from the case study demonstrate that our method is effective and of good performance in dealing with uncertainty of renewable energy.",

keywords = "Coordinated Scheduling, Mixed-Integer Linear Programming, Nonanticipativity, Renewable Energy, Storable Energy Sources",

author = "Zhentong Shao and Qiaozhu Zhai and Xiaohong Guan",

note = "Publisher Copyright: {\textcopyright} 2019 Technical Committee on Control Theory, Chinese Association of Automation.; 38th Chinese Control Conference, CCC 2019 ; Conference date: 27-07-2019 Through 30-07-2019",

year = "2019",

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doi = "10.23919/ChiCC.2019.8866316",

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Shao, Z, Zhai, Q & Guan, X 2019, All-scenario-feasible optimization method for coordinated scheduling of security constrained power grids with uncertain renewable and storable energy sources. in M Fu & J Sun (eds), Proceedings of the 38th Chinese Control Conference, CCC 2019., 8866316, Chinese Control Conference, CCC, vol. 2019-July, pp. 2187-2192, 38th Chinese Control Conference, CCC 2019, Guangzhou, China, 27/07/19. https://doi.org/10.23919/ChiCC.2019.8866316

All-scenario-feasible optimization method for coordinated scheduling of security constrained power grids with uncertain renewable and storable energy sources. / Shao, Zhentong; Zhai, Qiaozhu; Guan, Xiaohong.
Proceedings of the 38th Chinese Control Conference, CCC 2019. ed. / Minyue Fu; Jian Sun. 2019. p. 2187-2192 8866316 (Chinese Control Conference, CCC; Vol. 2019-July).

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

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AU - Zhai, Qiaozhu

AU - Guan, Xiaohong

PY - 2019/7

Y1 - 2019/7

N2 - The energy structure of China's power grids is under great changes. The participation of renewable energy and the construction of storable energy have brought new challenges to the operation of power grids. These make the scheduling of multiple power sources become very valuable to both system operators and researchers. Hence, this paper proposed an all-scenario-feasible (ASF) optimization method for the coordinated scheduling of security constrained power grids with uncertain renewable and storable energy sources. The method of this paper has a good performance in the accommodation of renewable energy. It is able to guarantee the nonanticipativity of storable energy while coping with the random fluctuation of renewable energy. Besides, this method is based on the mixed-integer linear programming (MILP) and it will be explained on the typical power grid in this paper, which has wind power, thermal power and pumped storage plants (PSPs). The conclusions of this method are also applicable to other similar sources and the optimization results obtained from the case study demonstrate that our method is effective and of good performance in dealing with uncertainty of renewable energy.

AB - The energy structure of China's power grids is under great changes. The participation of renewable energy and the construction of storable energy have brought new challenges to the operation of power grids. These make the scheduling of multiple power sources become very valuable to both system operators and researchers. Hence, this paper proposed an all-scenario-feasible (ASF) optimization method for the coordinated scheduling of security constrained power grids with uncertain renewable and storable energy sources. The method of this paper has a good performance in the accommodation of renewable energy. It is able to guarantee the nonanticipativity of storable energy while coping with the random fluctuation of renewable energy. Besides, this method is based on the mixed-integer linear programming (MILP) and it will be explained on the typical power grid in this paper, which has wind power, thermal power and pumped storage plants (PSPs). The conclusions of this method are also applicable to other similar sources and the optimization results obtained from the case study demonstrate that our method is effective and of good performance in dealing with uncertainty of renewable energy.

KW - Coordinated Scheduling

KW - Mixed-Integer Linear Programming

KW - Nonanticipativity

KW - Renewable Energy

KW - Storable Energy Sources

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ER -

All-scenario-feasible optimization method for coordinated scheduling of security constrained power grids with uncertain renewable and storable energy sources

Abstract

Publication series

Conference

UN SDGs

Keywords

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