A Novel Fractional Harmonic $d\text{--}q$ Domain Based Power Line Signaling Technique for Power Converters in a Microgrid

Shan, S; Umanand, L.

doi:10.1109/tpel.2019.2895747

Cited by 15 publications

(5 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Standalone small μ-grids in isolated areas could benefit from TPC as a low bandwidth COM [58]. TPC enables decentralized and autonomous control strategies leading to optimal resource allocation, load shedding and reconfiguration.…”

Section: µ-Gridsmentioning

confidence: 99%

Overview of Talkative Power Conversion Technologies

Liserre

Beiranvand

Leng

et al. 2023

IEEE Open J. Power Electron.

View full text Add to dashboard Cite

Power Line Communication (PLC) and Simultaneous Wireless Information and Power Transfer (SWIPT) are popular examples of applications, where power and information are transmitted simultaneously. In most cases, different devices have been used to generate the power and communication signals independently. Usually, the information is superimposed onto the power signal using an external modulator. Recently, power converters have been used to generate pulses not just for power conversion but also for information transfer simultaneously. This approach represents a fundamental difference because it exploits the signal processing potential of Pulse Width Modulation (PWM), where for power conversion only the average pulse width is used, while the information is represented by the harmonics instead of being filtered out, as typically done in power electronics. The concept of embedding information into the switching ripple generated by a switched-mode power converter has recently been dubbed Talkative Power (TP), in this paper referred as Talkative Power Conversion (TPC). TPC technologies are reviewed in non-isolated and isolated converters in this paper. Potential applications include visible light communications, battery management systems, switching reluctance generators/motors, microgrids, and wireless electric vehicle charging stations. Finally, trending topics are identified.INDEX TERMS Talkative power conversion, pulse width modulation converters, power line communication, switching ripple communication, simultaneous wireless information and power transfer.

show abstract

Section: µ-Gridsmentioning

confidence: 99%

Overview of Talkative Power Conversion Technologies

Liserre

Beiranvand

Leng

et al. 2023

IEEE Open J. Power Electron.

View full text Add to dashboard Cite

show abstract

“…Aiming at the mining and application of CAD-aided intelligent operation and maintenance of power system equipment, a CAD-aided intelligent operation and maintenance platform for equipment functional defects is constructed based on the CAD-aided intelligent operation and maintenance model and knowledge graph of power system equipment [10][11][12][13]. Its architecture is shown in Figure 2, including data layer, ontology layer, business layer, and application layer.…”

Section: Cad-aided Intelligent Operation and Maintenance Platform For...mentioning

confidence: 99%

Improved Cluster Intelligent and Complex Optimization Algorithm for Power Equipment CAD-Assisted Intelligent Operation and Maintenance

Song¹,

Su²,

Wang³

et al. 2022

Advances in Multimedia

View full text Add to dashboard Cite

By using the data collected by the cluster intelligent and complex optimization of the power system equipment, the cluster intelligent and complex optimization algorithms are introduced into the CAD-aided intelligent operation and maintenance of power system equipment (CAD-IOMPSE). Based on this, the CAD-aided intelligent operation and maintenance graph of power system equipment is used to apply the cluster intelligent complex data contained in the quality inspection of the different types of data obtained to restrict the relationship between different entities for the value of knowledge contained in the collected power data in the operation process and control stage of the power system. According to the types of equipment with problems in the operation of power system, the defects and problems are quickly diagnosed to quickly locate the problems and give solutions. Finally, the results of example analysis show that compared with the traditional naming entity recognition algorithm, BiLSTM-softmax and Seq2Seq-Attention model, the algorithm in this study is better than the traditional algorithm in the three evaluation index values of accuracy, recall, and F1 value.

show abstract

“…The characteristics of data are indicated using the proposed BP neural network algorithm for the power system with harmonic “drawbacks” as the target of analysis [ 11 , 12 ]. For the purpose of mining and applying harmonics data of the power system, this paper builds a power system harmonics research platform, which mainly includes three layers (data, ontology, and application).…”

Section: Harmonic Analysis With Bp the Neural Network-based Learning ...mentioning

confidence: 99%

A Power System Harmonic Problem Based on the BP Neural Network Learning Algorithm

Yue

Hu²,

Zhang

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

At present, due to the large-scale use of different kinds of power electronic devices in the power system, the problem of harmonic pollution in the power grid is becoming more and more serious, which will lead to a serious decline in the production, transmission, and utilization rate of electric energy, overheat electrical devices, generate vibration and interference, and then affect the aging and service life of the lines. In order to effectively reduce the harmonic problems caused by different levels of the power system, it is necessary to analyze the harmonic components. In this paper, the BP neural network learning algorithm is introduced into the harmonic problems of the power system. The mapping relationship between input and output signals is obtained by using the BP neural network algorithm, and the harmonic frequency, amplitude, and phase contained in the obtained data are analyzed. According to the type of equipment with problems in the operation of the power system and the rapid diagnosis of existing defects, the problems are quickly located and the causes are analyzed. The practical results show that the BP neural network learning algorithm proposed in this paper has higher detection accuracy and analysis speed for the difficult problems in the power system.

show abstract

A Novel Fractional Harmonic $d\text{--}q$ Domain Based Power Line Signaling Technique for Power Converters in a Microgrid

Cited by 15 publications

References 32 publications

Overview of Talkative Power Conversion Technologies

Overview of Talkative Power Conversion Technologies

Improved Cluster Intelligent and Complex Optimization Algorithm for Power Equipment CAD-Assisted Intelligent Operation and Maintenance

A Power System Harmonic Problem Based on the BP Neural Network Learning Algorithm

Contact Info

Product

Resources

About