scholarly journals Distributed State Estimation for Distribution Network with Phasor Measurement Units Information

2019 ◽  
Vol 158 ◽  
pp. 4129-4134 ◽  
Author(s):  
Ying Chen ◽  
Xiangyu Kong ◽  
Chengsi Yong ◽  
Xiyuan Ma ◽  
Li Yu
2020 ◽  
Vol 10 (1) ◽  
pp. 369-395
Author(s):  
C M Thasnimol ◽  
R. Rajathy

AbstractBi-directional information and energy flow, renewable energy sources, battery energy storage, electric vehicle, self-healing capability, and demand response programs, etc., revolutionized the traditional distribution network into the smart distribution network. Adoption of modern technologies like intelligent meters such as advanced metering infrastructure & Micro-phasor measurement units, data storage, and analysis techniques and incentive-based electricity trading mechanisms can bring this paradigm shift. This study presents an overview of popular technologies that facilitate this transformation, giving focus on some prime technologies such as real-time monitoring based on Micro-phasor measurement units, data storage and analytics, blockchain technology, multi-agent systems, and incentive-based energy trading mechanisms


2019 ◽  
Vol 19 (2) ◽  
pp. 38-43 ◽  
Author(s):  
Majid Dashtdar ◽  
Masoud Dashtdar

AbstractNowadays, phasor measurement units have many applications in the power network. Fault location using the network’s impedance matrix and phasor measurement units (PMU) is a subject that has been recently brought to the location light. In this research, we review the effect of the increased number of PMUs on the precision of the fault location. The method presented in this study uses the impedance transferring between these units and the fault location based on the fault distance. In the suggested method, the uncertainty on the network’s parameters has been considered and using the least-squares of faults, we can obtain the most optimal response. The advantage of this method is that it is not affected by the fault type and resistance of the short connection. In the end, the suggested method is implemented on the 14 bus distribution network and its performance has been evaluated.


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