Deep learning model to detect various synchrophasor data anomalies

Deng, Xianda; Bian, Desong; Wang, Weikang; Jiang, Zhihao; Yao, Wenxuan; Qiu, Wei; Tong, Ning; Shi, Di; Li, Fangxing

doi:10.1049/iet-gtd.2020.0526

Cited by 33 publications

(17 citation statements)

References 30 publications

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“…Since large-scale NEPG has been developed in recent years, its coordinated planning with regional power grids belongs to an emerging power development model. At present, there are relatively few studies on the coordination evaluation method of this model [7].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Control Strategy of Multiemergency Power Supply Network System Connected to New Energy

Zhang

Zhong

Minfu

et al. 2022

Security and Communication Networks

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In order to improve the adaptive control effect of the multiemergency power supply networking system connected to new energy (NE), this paper studies the adaptive control strategy (ACS) of the multiemergency power supply networking system connected to NE by combining intelligent algorithms and determines the appropriate installation node of the distributed power supply according to the voltage stability index. Moreover, this paper proposes a method to optimize the distribution network feeder reorganization and distributed power configuration problems based on the fireworks algorithm to reduce the network loss and improve the voltage distribution. In addition, distribution network reorganization and distributed power configuration optimization can more effectively minimize network losses and improve voltage distribution. Through the experimental research, it can be seen that the ACS of the multiemergency power supply network system connected to NE proposed in this paper has the established effect.

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Section: Introductionmentioning

confidence: 99%

Adaptive Control Strategy of Multiemergency Power Supply Network System Connected to New Energy

Zhang

Zhong

Minfu

et al. 2022

Security and Communication Networks

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“…Therefore, the reliability analysis and comprehensive evaluation are significant to a distribution system with high penetration DGs. The comprehensive evaluation is an objective, impartial and rational assessment for distribution systems, which is usually based on the current operational conditions and historical data [10][11][12][13]. It is the basis of the expansion panning, optimal operation and scheduling control for systems [14].…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Evaluation of Distribution System with High Penetration Distribution Generations Considering N-1 Security

Deng

Kang

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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The crisis of fossil fuel exhaustion and environmental pollution promotes the employment of distribution generators in distribution systems. The intermittent and random nature of distributed generators may bring threaten to the reliability and stability of the power grid. To improve the N-1 evaluation schema for distribution grid with DGs, an evaluation index system and comprehensive evaluation method for distribution system are proposed in this paper. Security, economy, quality and development coordination of system are analysed and used as the evaluation indexes. An evaluation framework is implemented with an analytic hierarchy process and a gray relational analysis method. The proposed index and framework were implemented tested with a modified distribution system on the CloudPSS platform. Multiple optimization objects of planning solutions for the distribution system were evaluated by the proposed frameworks. The best grid connection schema were generated based on the evaluation results. The test results demonstrate the feasibility of the proposed index system and framework.

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“…In recent years, model-free based methods [1], [2], [3], [4], [5] are exploited to achieve more reliable detection under inaccurate topology information or parameter errors. Reference [3] proposes a method to identify and correct low-quality data based on low-rank property of the Hankel structure.…”

Section: Introductionmentioning

confidence: 99%

“…However, its complicated optimizations make it hard for online application. References [4], [5] use machine learning methods to detect low-quality data and require time-consuming labelled dataset for training. Reference [1] proposes a density-based local outlier approach to detect low-quality data.…”

Section: Introductionmentioning

confidence: 99%

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Online Detection of Low-Quality Synchrophasor Data Considering Frequency Similarity

Silva-Saravia

Nayak

et al. 2021

IEEE Trans. Power Delivery

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This letter proposes a new approach for online detection of low-quality synchrophasor data under both normal and event conditions. The proposed approach utilizes the features of synchrophasor data in time and frequency domains to distinguish multiple regional PMU signals and detect low-quality synchrophasor data. The proposed approach does not require any offline study and it is more effective to detect low-quality data with apparently indistinguishable profiles. Case studies from recorded synchrophasor measurements verify the effectiveness of the proposed approach.

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Deep learning model to detect various synchrophasor data anomalies

Cited by 33 publications

References 30 publications

Adaptive Control Strategy of Multiemergency Power Supply Network System Connected to New Energy

Adaptive Control Strategy of Multiemergency Power Supply Network System Connected to New Energy

Comprehensive Evaluation of Distribution System with High Penetration Distribution Generations Considering N-1 Security

Online Detection of Low-Quality Synchrophasor Data Considering Frequency Similarity

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