Design of a Governance System in Three-Phase Load Imbalance Using Spark Distributed Computing Method
Konferenz: CAIBDA 2022 - 2nd International Conference on Artificial Intelligence, Big Data and Algorithms
17.06.2022 - 19.06.2022 in Nanjing, China
Tagungsband: CAIBDA 2022
Seiten: 5Sprache: EnglischTyp: PDF
Autoren:
Zhang, Xu (State Grid Anhui Electric Power Company, Hefei, Anhui, China)
Yang, Yi (State Grid Anhui Jingdecounty Power Supply Co., Ltd., Xuancheng, Anhui, China)
Li, Rui (State Grid Lu’an Electric Power Supply Company，Lu’an, Anhui, China)
Liu, Danhua (State Grid AnHui Marketing Service Center, Hefei, Anhui, China)
Inhalt:
Aiming at the problem of unbalanced three-phase load and poor treatment effect of traditional household appliances, a three-phase load unbalance control system is designed by spark distributed calculation method. First, analyze the spark distributed computing method in detail; then design a three-phase load imbalance management system based on the Spark distributed computing framework, mainly from the two aspects of system hardware and software, and establish a database to provide current and voltage data for the system; finally, the designed governance system is tested and verified. The experimental results show that the average value of the three-phase current unbalance degree drops to 10.56% after the three-phase load management through this designed system, which is 35.01% less than the same period, which shows that the use of this system can realize the reasonable distribution of the three-phase load. The line loss is reduced and the power quality is significantly improved.