DOI:https://doi.org/10.1007/s40565-018-0453-x |
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Real-time transient stability assessment in power system based on improved SVM |
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Net amount: 1341 |
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Author:
Wei HU1, Zongxiang LU1, Shuang WU1, Weiling ZHANG1, Yu DONG2, Rui YU3, Baisi LIU3
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Author Affiliation:
1. State Key Laboratory of Power system, Department of
Electrical Engineering, Tsinghua University, Beijing 100084,
China
2. State Grid Hunan Electric Power Company Limited,
Changsha 410600, China
3. Southwest Branch, State Grid Corporation of China,
Chengdu 610041, China
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Foundation: |
This work was supported by Science and Technology Project of State Grid Corporation of China, National Natural Science Foundation of China (No. 51777104) and China State Key Laboratory of Power System (No. SKLD16Z08). |
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Abstract: |
Due to the strict requirements of extremely high
accuracy and fast computational speed, real-time transient
stability assessment (TSA) has always been a tough problem
in power system analysis. Fortunately, the development
of artificial intelligence and big data technologies
provide the new prospective methods to this issue, and
there have been some successful trials on using intelligent
method, such as support vector machine (SVM) method.
However, the traditional SVM method cannot avoid false
classification, and the interpretability of the results needs to
be strengthened and clear. This paper proposes a new
strategy to solve the shortcomings of traditional SVM,
which can improve the interpretability of results, and avoid
the problem of false alarms and missed alarms. In this
strategy, two improved SVMs, which are called aggressive
support vector machine (ASVM) and conservative support
vector machine (CSVM), are proposed to improve the
accuracy of the classification. And two improved SVMs
can ensure the stability or instability of the power system in
most cases. For the small amount of cases with undetermined
stability, a new concept of grey region (GR) is built
to measure the uncertainty of the results, and GR can
assessment the instable probability of the power system.
Cases studies on IEEE 39-bus system and realistic
provincial power grid illustrate the effectiveness and
practicability of the proposed strategy. |
Keywords: |
Power system, Transient stability assessment
(TSA), Intelligent method, Support vector machine, Grey
region |
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Online Time:2019/01/28 |
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