Design of the Monitoring System for Power Distribution Area by Clean Energy Intelligent Integration Terminals

Author:

Hou Zhe,Sun Xin,Ju Zeli,Li Zhe,Niu Quanbao,Liu Shulin

Abstract

Abstract Power distribution area is an important part of low-voltage distribution network. Because of its wide distribution and complex environment, it often causes large area blackout or even worse. As the core equipment in the automation construction of low-voltage distribution network, the monitoring and management level of distribution network will be directly affected by the performance of intelligent transformer terminal. The traditional intelligent transformer terminal and concentrator belong to the two departments of operation and distribution, and there are some problems, such as non-sharing of data, duplication of functions, increasing the workload of operation and maintenance. In view of the above defects, this paper puts forward the concept of intelligent integration terminals, which has the functions of intelligent transformer terminal and concentrator. Based on this terminal, a set of power distribution area condition monitoring system is designed, which can realize the function of low-voltage distribution station area condition information monitoring, low-voltage line topology identification and branch line loss analysis. While the construction cost of power distribution area is reduced, the intelligent management level of the low-voltage distribution network can also be comprehensively improved.

Publisher

IOP Publishing

Subject

General Engineering

Reference13 articles.

1. Analyze the current situation and prospect of power distribution network automation;Yan,2018

2. A review on distribution system State estimation;Primadianto;IEEE Transactions on Power Systems,2017

3. Gridding Evaluation Index System and Method of MV and LV Intelligent Distribution Network;Zechen;Power System Technology,2016

4. Design and Application of Power Distribution Internet of Things;Jun;High Voltage Engineering,2019

5. Fault Location and Service Restoration for Distribution Networks Based on Coordination of Centralized Intelligence and Distributed Intelligence;Jian;Power Syste m Technology,2013

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