Research on Identification of Power Grid Weakness Based on Bayesian Inference

With the gradual reform and development of the power grid, it is of great significance to study how to effectively identify and evaluate the weak links of the power grid for the actual planning, construction, and operation of the power grid. This paper analyzed the power grid’s historical component data and real-time operation state parameters. We established a weak link identification model based on Bayesian reasoning. Firstly, we constructed the node branch Bayesian network according to the network topology relationship. The power transmission distribution factor is modified according to the historical operation load of the grid components, and the conditional probability table is calculated based on the grid structure; finally, we used the maximum possible explanation algorithm in the Bayesian network. The weakness degree of all components in the network is calculated, and the maximum probability weak link sequence is obtained. The correctness and effectiveness of the proposed method are verified by IEEE 39 bus simulation and regional power grid data.

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The Forecasting Track of Power Grid Operation State Based on Risk Assessment

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1008-1009.454 ◽

2014 ◽

Vol 1008-1009 ◽

pp. 454-460

Author(s):

Qi Rui Chen ◽

Da Hai You ◽

Cheng Long ◽

Yang Zou ◽

Jin Hu ◽

...

Keyword(s):

Risk Assessment ◽

Fuzzy Clustering ◽

Fuzzy Inference ◽

Power Grid ◽

Risk Index ◽

External Environment ◽

Time Operation ◽

Real Time Operation ◽

State Of Power ◽

Grid Operation

As the interconnected power grid becomes increasingly complicated and external environment is changeable, the difficulty of power grid dispatching is increased. Thus, the forecasting track of power grid operation state based on risk assessment can be used to predict the operation trend of power grid state and provide a reference for real-time operation state and guide power grid dispatching. Based on overall power grid risk index system, the operation trend for a period in the future is predicted to diagnose the state of power grid by using fuzzy inference, fuzzy clustering and AHP. In this paper, Ningxia Power Grid is simulated as an example to describe the forecasting track of its operation state in the next 100 minutes. The results present that the track can be used to analyze the causes, which increase or decrease the risk degree of overall power grid, then major leading factors are specifically analyzed. And the track can be also used as guidance for dispatching operators to take measures. Furthermore, the track is proved to be reasonable.

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New aspects of power grid facilities personnel workplaces electromagnetic environment

Russian Journal of Occupational Health and Industrial Ecology ◽

10.31089/1026-9428-2020-60-9-569-574 ◽

2020 ◽

Vol 60 (9) ◽

pp. 569-574

Author(s):

Nina B. Rubtsova ◽

Sergey Yu. Perov ◽

Olga V. Belaya ◽

Tatiana A. Konshina

Keyword(s):

Transmission Lines ◽

Power Transmission ◽

Power Grid ◽

Spectral Characteristics ◽

Ground Level ◽

Frequency Characteristics ◽

Frequency Range ◽

Electromagnetic Environment ◽

Limit Values ◽

Special Assessment

Introduction. Electromagnetic safety of power grid facilities staff requires the exclusion of electromagnetic fields (EMF) harmful effects. EMF is evaluated by 50 Hz electric and magnetic fields (EF and MF) values in the framework of working conditions special assessment, and very rarely the analysis of the electromagnetic environment (EME) is carried out in depth. The aim of the study - EME hygienic assessment of power grid EHV facilities personnel workplace with adequate 50 Hz EF and MF levels evaluation as well as the analysis of EF and MF in the frequency range from 5 Hz to 500 Hz amplitude-frequency characteristics. Materials and methods. 50 Hz EF and MF values assessment was carried out on open switchgears (S) of substations and within sanitary breaks of 500 and 750 kV overhead power transmission lines (OTL). Measurements along to OTL trasses was performed using matrix-based method. Measurements and analysis of EF and MF values in 5-500 Hz frequency range amplitude-frequency characteristics were performed in the territory of 500 and 750 kV S. Results. Power frequency 50 Hz measurements results at 500 and 750 kV S ground-level personnel workplaces showed the presence of an excess of permissible limit values by EF intensity and the absence of an excess by MF. The measured EF values within 500 and 750 kV OTL sanitary gaps require limiting the working time of linemen due to the excess of the hygienic norms for full work shift, while the MP levels were almost completely within the standard values for persons not occupationally connected with electrical installations maintenance. MF and EE frequency range from 50 Hz to 500 Hz spectral characteristics analysis showed that 3rd harmonic percentage does not exceed 2.5% for EF and 6% for MF of the main level, the level of the 5th harmonic does not exceed 1% for EF and 3.5% for MF, the level of the 7th harmonic does not exceed 0.2% for EF and 0.8% for MF. These data show despite its low levels the contribution of MF different harmonics in a possible adverse impact on humane than EF corresponding harmonics. Conclusions. There was the confirmation of the previously justified use of the "matrix" scheme for of EF and MF values measurement along OTL routes. The relevance of to EF and MF all frequency components expos ure assessing possible health risk in extremely high voltage S territories and under OTL, based on international recommendations due to the lack of sanitary regulations in the Russian Federation for >50 Hz-30 kHz EF and MF, is shown.

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Exploring 3D Human Action Recognition Using STACOG on Multi-View Depth Motion Maps Sequences

Sensors ◽

10.3390/s21113642 ◽

2021 ◽

Vol 21 (11) ◽

pp. 3642

Author(s):

Mohammad Farhad Bulbul ◽

Sadiya Tabussum ◽

Hazrat Ali ◽

Wenli Zheng ◽

Mi Young Lee ◽

...

Keyword(s):

Action Recognition ◽

Depth Map ◽

Human Action Recognition ◽

Human Action ◽

Collaborative Representation ◽

Auto Correlation ◽

Time Operation ◽

Real Time Operation ◽

Benchmark Datasets ◽

Depth Motion Maps

This paper proposes an action recognition framework for depth map sequences using the 3D Space-Time Auto-Correlation of Gradients (STACOG) algorithm. First, each depth map sequence is split into two sets of sub-sequences of two different frame lengths individually. Second, a number of Depth Motion Maps (DMMs) sequences from every set are generated and are fed into STACOG to find an auto-correlation feature vector. For two distinct sets of sub-sequences, two auto-correlation feature vectors are obtained and applied gradually to L2-regularized Collaborative Representation Classifier (L2-CRC) for computing a pair of sets of residual values. Next, the Logarithmic Opinion Pool (LOGP) rule is used to combine the two different outcomes of L2-CRC and to allocate an action label of the depth map sequence. Finally, our proposed framework is evaluated on three benchmark datasets named MSR-action 3D dataset, DHA dataset, and UTD-MHAD dataset. We compare the experimental results of our proposed framework with state-of-the-art approaches to prove the effectiveness of the proposed framework. The computational efficiency of the framework is also analyzed for all the datasets to check whether it is suitable for real-time operation or not.

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Blockchain-based Power Grid Data Asset Management Architecture

2020 International Conference on Computer Science and Management Technology (ICCSMT) ◽

10.1109/iccsmt51754.2020.00049 ◽

2020 ◽

Author(s):

SHEN Liang ◽

HAO Baozhong ◽

LI Yang ◽

YU Han ◽

ZHANG Song ◽

...

Keyword(s):

Asset Management ◽

Power Grid ◽

Grid Data ◽

Management Architecture

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Research on Comprehensive Post-Evaluation of Electric Transmission Project Based on Fuzzy AHP Analysis Method

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.415.280 ◽

2013 ◽

Vol 415 ◽

pp. 280-286 ◽

Cited By ~ 1

Author(s):

Li Xin Zheng

Keyword(s):

Power Transmission ◽

Fuzzy Ahp ◽

Investment Decision ◽

Power Grid ◽

Evaluation Index System ◽

Evaluation Index ◽

Scientific Management ◽

Low Carbon ◽

Low Carbon Economy ◽

Post Evaluation

Post-evaluation of power transmission project will help improve the scientific management level of the construction implementation and operation process, the investment decision-making and returns, and ensure the safe operation of power grid. Based on the theories and methods to establish the evaluation index, considering the low-carbon economy requirements on power grid construction, this article established a post-evaluation index system from the perspective of implementation process, effectiveness and efficiency, social and environmental impact, and sustainable development. According to the content of post-evaluation of power transmission project, it built a fuzzy AHP comprehensive post-evaluation model and took power transmission project as an example to analyze the application of the model.

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