Research on the Monitoring System Design for the Line Loss of the Distribution Line Based on Dynamic Three-phase Unbalance Degree

Wei, Meifang; Long, Min; Li, Junyi; Pang, Wenlong; Wu, Xixiu

doi:10.1016/j.procs.2019.08.120

Cited by 4 publications

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, losses are an important indicator of the economic level of efficiency and power supply management. To improve the method of calculating losses on the line, real-time calculations are used as a method to be applied in calculating distribution channel losses caused by dynamic imbalance of three-phase loads [3]. Based on the algorithm built, the hardware system has the function to identify the unbalanced phase and can calculate the line loss on line.…”

Section: Introductionmentioning

confidence: 99%

The Real Time Monitoring System and Early Detection of Unbalanced Load for the Three Phase Distribution Systems in Urban Areas

Nojeng,

Jaya,

Murniati

2023

ijeeic

View full text Add to dashboard Cite

This paper introduces a three-phase unbalanced load condition monitoring system in a power distribution network that can monitor and provide early warning. The distribution system is a component of the power system that must always be observed in maintaining the service of delivering electricity to customers. Currently, many technologies are applied to the distribution system that can ensure the operation of the distribution network, especially distribution transformers to determine real-time transformer conditions so that damage and power losses can be minimized, but do not provide early detection. Therefore, the role of information technology is currently one of the investments that must be made for all electric power supply operators in maintaining the performance of distribution transformers through early detection. In this study, the system developed based on Internet of Things (IoT) technology that was built consists of: embedded system devices that function to carry out measurements and transmit data, Web Service software that functions to receive data from sensor systems, and Arduino-based software using the Blynk Cloud application platform in presenting data and managing data through Android display devices (HP/Laptop). The Blynk is a compatible platform for applications on Mobile OS (iOS and Android) in controlling Arduino, Raspberry Pi, or ESP8266-based modules, as well as similar modules via the Internet (IoT). This system was built to provide an early warning function against network parameter anomalies such as overload, overvoltage, and unbalanced load. After getting the data, the system will perform calculations to obtain recommendations for system optimization in the form of balancing, maintenance, or load maneuver. Based on testing, the time needed to send and receive notifications on smartphone users via the blynk application ranges from 3-4 seconds. By setting a tolerance limit of 20%, when the load is severely unbalanced where the neutral current is almost equal to or greater than the phase current, the local indicator light will light up and the Android system will provide an unbalanced load indicator.

show abstract

Section: Introductionmentioning

confidence: 99%