LAPSE:2020.0686
Published Article
LAPSE:2020.0686
A Load-Shedding Model Based on Sensitivity Analysis in on-Line Power System Operation Risk Assessment
Zhe Zhang, Hang Yang, Xianggen Yin, Jiexiang Han, Yong Wang, Guoyan Chen
June 23, 2020
The traditional load-shedding models usually use global optimization to get the load-shedding region, which will cause multiple variables, huge computing scale and other problems. This makes it hard to meet the requirements of timeliness in on-line power system operation risk assessment. In order to solve the problems of the present load-shedding models, a load-shedding model based on sensitivity analysis is proposed in this manuscript. By calculating the sensitivity of each branch on each bus, the collection of buses which have remarkable influence on reducing the power flow on over-load branches is obtained. In this way, global optimization is turned to local optimization, which can narrow the solution range. By comprehensively considering the importance of load bus and adjacency principle regarding the electrical coupling relationship, a load-shedding model is established to get the minimum value of the load reduction from different kinds of load buses, which is solved by the primal dual interior point algorithm. In the end, different cases on the IEEE 24-bus, IEEE 300-bus and other multi-node systems are simulated. The correctness and effectiveness of the proposed load-shedding model are demonstrated by the simulation results.
Keywords
load reduction region, load-shedding model, on-line power system operation risk assessment, requirements of timeliness, sensitivity analysis
Suggested Citation
Zhang Z, Yang H, Yin X, Han J, Wang Y, Chen G. A Load-Shedding Model Based on Sensitivity Analysis in on-Line Power System Operation Risk Assessment. (2020). LAPSE:2020.0686
Author Affiliations
Zhang Z: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China
Yang H: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China
Yin X: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China
Han J: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China
Wang Y: Guangzhou Power Supply Company, Ltd., Guangzhou 510000, China
Chen G: Guangzhou Power Supply Company, Ltd., Guangzhou 510000, China
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Journal Name
Energies
Volume
11
Issue
4
Article Number
E727
Year
2018
Publication Date
2018-03-23
Published Version
ISSN
1996-1073
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PII: en11040727, Publication Type: Journal Article
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LAPSE:2020.0686
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doi:10.3390/en11040727
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Jun 23, 2020
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Calvin Tsay
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