Multi-task Transient Stability Assessment Based on Sub-layer of Hybrid Gated Recurrent Unit

doi:10.12204/j.issn.1000-7229.2022.02.008

Abstract

Abstract:

In the related research of transient power-angle stability assessment and transient voltage stability assessment, independent assessment models are usually constructed, respectively, which hinders the information sharing among different tasks and wastes computing and storage resources. Considering the similarities and differences among different assessment tasks, in order to better realize the two assessments at the same time, a multi-task transient stability assessment model based on sub-layer of hybrid gated recurrent unit (GRU) is proposed in this paper. Because the power system transient process has obvious time-series characteristics, the GRU sub-layer is used to extract the time-series characteristics of the measured data efficiently. The gating mechanism is introduced into the model structure to automatically adjust the proportion of each sub-layer in constructing the feature representation of different evaluation tasks, which not only promotes the information sharing among different tasks, but also weakens the negative impact of the differences among different tasks on model training. The experimental results in IEEE 39-bus test system show that the model proposed in this paper has better evaluation performance and computing speed.

Key words: transient stability assessment, deep learning, multi-task learning, gated recurrent unit (GRU)

CLC Number:

TM712

SUN Lixia, PENG Jiajie, TIAN Yiyun, CHEN Xinling, YUAN Huan. Multi-task Transient Stability Assessment Based on Sub-layer of Hybrid Gated Recurrent Unit[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(2): 63-69.

Figures/Tables 10

Fig.1 Structure of a gated recurrent unit

Fig.2 Hard parameter shared multi-task learning

Fig.3 Multi-task learning with multi-gate mixture-of-expert

Fig.4 Process of multi-task model evaluation

Table 1 Transient stability assessment results

Fig.5 Feature extraction effect

Fig.6 Result of gating mechanism

Table 2 Replacement mode of wind power generators

Table 3 Results of transient stability assessment for new energy system

Table 4 Transient-stability assessment results with considering noise

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