Welcome to Scholar Publishing Group

Distributed Processing System, 2022, 3(4); doi: 10.38007/DPS.2022.030401.

IEEE1588 Protocol in Information Transmission of Distributed Generation System

Author(s)

Barker Ruth

Corresponding Author:
Barker Ruth
Affiliation(s)

Tech Univ Sofia, Dept Elect Apparat, Sofia 1797, Bulgaria

Abstract

With the development of modern power system, distributed generation also appears, and wireless communication technology plays an important role in it. This paper analyzes and studies the ieee15 private network transmission protocol. Firstly, the working principle and implementation method of the protocol are introduced. Secondly, the solutions and improvement schemes for the key links such as information data acquisition, processing process and signal power distribution in the transmission line are proposed. Finally, a complete distributed power system model is established by using MATLAB software and verified by simulation under the conditions of the designed communication channel parameters. The comparison and analysis of simulation test results show that the device has the following basic performances: (1) high reliability. (2) Good stability. When a fault occurs, it will not affect the stable operation of the whole network, and can provide users with reliable, efficient and safe power supply services.

Keywords

IEEE1588 Protocol, Distributed Generation System, Information Transmission, Distributed Transmission

Cite This Paper

Barker Ruth. IEEE1588 Protocol in Information Transmission of Distributed Generation System. Distributed Processing System (2022), Vol. 3, Issue 4: 1-9. https://doi.org/10.38007/DPS.2022.030401.

References

[1] Ademir Toebe, Tiago Miguel Klein Faistel, António Manuel Santos Spencer Andrade:High step-up buck-boost DC-DC converter with coupled inductor and low component count for distributed PV generation systems. Int. J. Circuit Theory Appl. 50(5): 1730-1749 (2022).

[2] Manohar Mishra, Bhaskar Patnaik, Ramesh C. Bansal, Raj Naidoo, Bignaraj Naik, Janmenjoy Nayak:DTCDWT-SMOTE-XGBoost-Based Islanding Detection for Distributed Generation Systems: An Approach of Class-Imbalanced Issue. IEEE Syst. J. 16(2): 2008-2019 (2022).

[3] Vedantham Lakshmi Srinivas, Bhim Singh, Sukumar Mishra, Lie Xu:Harmonic Voltage Control in Distributed Generation Systems Using Optimal Switching Vector Strategy. IEEE Syst. J. 16(2): 1861-1872 (2022).

[4] A. Elnady, Aboelmagd Noureldin, Ali Ahmed Adam Ismail:Integral Terminal Synergetic-Based Direct Power Control for Distributed Generation Systems. IEEE Trans. Smart Grid 13(2): 1287-1297 (2022).

[5] Kayode E. Adetunji, Ivan W. Hofsajer, Adnan M. Abu-Mahfouz, Ling Cheng:Category-Based Multiobjective Approach for Optimal Integration of Distributed Generation and Energy Storage Systems in Distribution Networks. IEEE Access 9: 28237-28250 (2021).

[6] Arif Hussain, Chul-Hwan Kim, Arif Mehdi:A Comprehensive Review of Intelligent Islanding Schemes and Feature Selection Techniques for Distributed Generation System. IEEE Access 9: 146603-146624 (2021).

[7] Abdullah Mohammed Shaheen, Ragab A. El-Sehiemy, Salah Kamel, Ehab E. Elattar, Abdallah M. Elsayed:Improving Distribution Networks' Consistency by Optimal Distribution System Reconfiguration and Distributed Generations. IEEE Access 9: 67186-67200 (2021).

[8] Enielma Cunha da Silva, Ozy D. Melgar-Dominguez, Rubén Romero:Simultaneous Distributed Generation and Electric Vehicles Hosting Capacity Assessment in Electric Distribution Systems. IEEE Access 9: 110927-110939 (2021).

[9] Nayana P. Shetty, R. L. Chakrasali:Intentional/un-intentional islanding control strategy for distributed generation system. Int. J. Adv. Intell. Paradigms 19(2): 146-160 (2021).

[10] Korra Balu, V. Mukherjee:Optimal siting and sizing of distributed generation in radial distribution system using a novel student psychology-based optimization algorithm. Neural Comput. Appl. 33(22): 15639-15667 (2021).

[11] Subhodip Saha, V. Mukherjee:A novel multi-objective modified symbiotic organisms search algorithm for optimal allocation of distributed generation in radial distribution system. Neural Comput. Appl. 33(6): 1751-1771 (2021).

[12] Adel A. Abou El-Ela, Ragab A. El-Sehiemy, Abdullah Mohammed Shaheen, Aya R. Ellien:Optimal Allocation of Distributed Generation Units Correlated With Fault Current Limiter Sites in Distribution Systems. IEEE Syst. J. 15(2): 2148-2155 (2021).

[13] Maedeh Ghorbanian, Sarineh Hacopian Dolatabadi, Pierluigi Siano:Game Theory-Based Energy-Management Method Considering Autonomous Demand Response and Distributed Generation Interactions in Smart Distribution Systems. IEEE Syst. J. 15(1): 905-914 (2021).

[14] Saad Ouali, Abdeljebbar Cherkaoui:Historical Literature Review of Optimal Placement of Electrical Devices in Power Systems: Critical Analysis of Renewable Distributed Generation Efforts. IEEE Syst. J. 15(3): 3820-3831 (2021).

[15] Mohit Bajaj, Amit Kumar Singh, Majed Alowaidi, Naveen Kumar Sharma, Sunil Kumar Sharma, Shailendra Mishra:Power Quality Assessment of Distorted Distribution Networks Incorporating Renewable Distributed Generation Systems Based on the Analytic Hierarchy Process. IEEE Access 8: 145713-145737 (2020).

[16] Bo Cao, Liuchen Chang, Shuang Xu, Riming Shao:Advanced Variable Switching Frequency Control for Improving Weighted Efficiency of Distributed Renewable Generation Systems. IEEE Access 8: 140643-140653 (2020).

[17] Daolian Chen, Hanchao Zeng:A Buck Type Multi-Input Distributed Generation System With Parallel-Timesharing Power Supply. IEEE Access 8: 79958-79968 (2020).

[18] Zimran Rafique, Haris M. Khalid, S. M. Muyeen:Communication Systems in Distributed Generation: A Bibliographical Review and Frameworks. IEEE Access 8: 207226-207239 (2020).