Dynamic-decision-based Real-time Dispatch for Reducing Constraint Violations

doi:10.35833/MPCE.2020.000580

Home > Archive>Volume 10, Issue 4, 2022 >829-838. DOI:10.35833/MPCE.2020.000580

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Dynamic-decision-based Real-time Dispatch for Reducing Constraint Violations

DOI:

10.35833/MPCE.2020.000580

Author:

Lingshu Zhong ^¹
Lingshu Zhong
the School of Electrical Power, South China University of Technology, Guangzhou 510640, China
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Junbo Zhang ^¹
Junbo Zhang
the School of Electrical Power, South China University of Technology, Guangzhou 510640, China
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C. Y. Chung ^²
C. Y. Chung
the Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon S7N5A9, Canada
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Yuzhong Gong ^²
Yuzhong Gong
the Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon S7N5A9, Canada
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Lin Guan ^¹
Lin Guan
the School of Electrical Power, South China University of Technology, Guangzhou 510640, China
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Affiliation:

1.the School of Electrical Power, South China University of Technology, Guangzhou 510640, China;2.the Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon S7N5A9, Canada

Fund Project:

This work was supported by the National Natural Science Foundation of China (No. 51761145106), the Guangdong Provincial Natural Science Foundation of China (No. 2018B030306041), the Fundamental Research Funds for the Central Universities (No. 2019SJ01), and the China Scholarship Council (No. 201806155019).

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Abstract:

This paper proposes a dynamic-decision-based realtime dispatch method to coordinate the economic objective with multiple types of security dispatch objectives while reducing constraint violations in the process of adjusting the system operation point to the optimum. In each decision moment, the following tasks are executed in turn: ① locally linearizing the system model at the current operation point with the online model identification by using measurements; ② narrowing down the gaps between unsatisfied security requirements and their security thresholds in order of priority; ③ minimizing the generation cost; ④ minimizing the security indicators within their security thresholds. Compared with the existing real-time dispatch strategies, the proposed method can adjust the deviations caused by unpredictable power flow fluctuations, avoid dispatch bias caused by model parameter errors, and reduce the constraint violations in the dispatch decision process. The effectiveness of the proposed method is verified with the IEEE 39-bus system.

Key words:Dynamic decision ; real-time dispatch ; security-constrained dispatch ; N-1 security ; small-signal stability ; data-driven optimization

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Received:August 04,2020
Revised:November 01,2020
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Online: July 15,2022
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