Optimal location of voltage sags monitoring buses, based on the correlation rate between network buses with considering the probability distribution of variables-Reference-Cited by-同舟云学术

Optimal location of voltage sags monitoring buses, based on the correlation rate between network buses with considering the probability distribution of variables

Published:2022-11-16 Issue:1 Volume:105 Page:509-518
ISSN:0948-7921
Container-title:Electrical Engineering
language:en
Short-container-title:Electr Eng

Author:

Jalalat Hamed^ORCID,Liasi Sahand^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Electrical and Electronic Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00202-022-01674-6.pdf

Reference17 articles.

1. Association IS (2014) IEEE trial-use recommended practice for voltage sag and short interruption ride-through testing for end-use electrical equipment rated less than 1000V. Standard P1668-2014

2. Bollen MH, Gu IY (2006) Signal processing of power quality disturbances, vol 30. Wiley

3. Liasi SG et al (2018) An improved control strategy for DVR in order to achieve both LVRT and HVRT in DFIG wind turbine. In: 2018 international conference and exposition on electrical and power engineering (EPE). IEEE

4. Polycarpou A (2011) Power quality and voltage sag indices in electrical power systems. Electr Gen Distrib Syst Power Qual Disturb 139–159

5. Jalalat H, Liasi SG, Bina MT (2020) Estimation of number of voltage sags in the IEEE 14-bus network using bayesian and artificial neural network: a case study. In: 2020 28th Iranian conference on electrical engineering (ICEE). IEEE

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Intelligent distribution network fault monitoring integrating differential evolution and chaos whale optimization algorithm;Intelligent Decision Technologies;2024-08-15

2. Optimal Switch Placement to Improve the Reliability of Distribution Network in Interconnected Network of Microgrids Using a Graph-Based Approach;IEEE Transactions on Industry Applications;2024-07

3. Simultaneous optimization of cost, active power loss and water quantity in irrigation: a techno-economic study incorporating PV panels and demand-side management;Electrical Engineering;2024-01-10

4. An Evaluative Framework for Regional Vulnerability and Power System Resilience Against Flooding: A Case Study of Charleston County, South Carolina;2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG);2023-12-03

5. An Evaluative Framework for Regional Vulnerability and Power System Resilience Against Earthquakes: A Case Study of Charleston County, South Carolina;2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI);2023-11-07