Evaluation of the inertia distribution performance for multi-machine power system Article Swipe
Yu Shan
,
Zhen Wang
,
Jialiang Wu
,
Huisheng Gao
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.ijepes.2023.109595
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.ijepes.2023.109595
Given large-scale modern power systems with inverter-based resources, the frequency stability faces great challenges in the characteristics of the decreasing inertia for the system and the uneven distribution of the inertia. Although several metrics for system inertia performance have been developed, a more generalized inertia evaluation method is still required. This paper proposed an inertia evaluation method for a multi-machine power system considering both the inertia and disturbance distribution. To reflect the dynamic of a more general system, an equivalent homogeneous transformation (EHT) is used in the system frequency response model with heterogeneous parameters. To reveal the inertia distribution under different disturbances scenario, a general inertia (GI) is proposed to evaluate the nodal frequency stability. Finally, the effectiveness of the proposed equivalent homogeneous system and the metric is validated using two test systems: a modified 4-machine 2-area power system and the 5-area 68-bus system. Numerical simulation study reveals that the proposed method can effectively reflect the inertia spatial distribution characteristics.
Related Topics
Concepts
Inertia
Metric (unit)
Control theory (sociology)
Electric power system
Stability (learning theory)
Power (physics)
Performance metric
Homogeneous
Inverter
Transformation (genetics)
Rotary inertia
Computer science
Engineering
Control engineering
Mathematics
Artificial intelligence
Physics
Economics
Gene
Classical mechanics
Machine learning
Biochemistry
Operations management
Control (management)
Management
Chemistry
Quantum mechanics
Combinatorics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.ijepes.2023.109595
- OA Status
- hybrid
- Cited By
- 10
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388269283
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4388269283Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.ijepes.2023.109595Digital Object Identifier
- Title
-
Evaluation of the inertia distribution performance for multi-machine power systemWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-10-25Full publication date if available
- Authors
-
Yu Shan, Zhen Wang, Jialiang Wu, Huisheng GaoList of authors in order
- Landing page
-
https://doi.org/10.1016/j.ijepes.2023.109595Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.ijepes.2023.109595Direct OA link when available
- Concepts
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Inertia, Metric (unit), Control theory (sociology), Electric power system, Stability (learning theory), Power (physics), Performance metric, Homogeneous, Inverter, Transformation (genetics), Rotary inertia, Computer science, Engineering, Control engineering, Mathematics, Artificial intelligence, Physics, Economics, Gene, Classical mechanics, Machine learning, Biochemistry, Operations management, Control (management), Management, Chemistry, Quantum mechanics, CombinatoricsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
10Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4, 2024: 5, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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35Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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