Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Iman Niazazari"'
Publikováno v:
IEEE Transactions on Smart Grid. 12:1519-1528
This article presents a novel data recovery framework for missing synchrophasor measurements. The imputation accuracy for the existing data recovery methods is significantly reduced when there are consecutive data losses across multiple data streams.
Autor:
Lei Yang, Amir Ghasenikhani, Shuchismita Biswas, Virgilio A. Centeno, Iman Niazazari, Hanif Livani, Yunchuan Liu
Publikováno v:
ISGT
This paper presents an event classification in transmission grids. The convolutional neural network (CNN)-based classifier is proposed to capture the temporal similarity of time-synchronized data stream from phasor measurement units (PMUs). The propo
Publikováno v:
ISGT
Increasing uncertainty raised by the integration of renewable energy resources requires an enormous number of simulations to be carried out for the security assessment of the power grid. However, it is challenging to assess the steady-state and dynam
This paper proposes a decentralized dynamic state estimation (DSE) algorithm with bimodal Gaussian mixture measurement noise. The decentralized DSE is formulated using the Ensemble Kalman Filter (EnKF) and then compared with the unscented Kalman filt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a775f28c0e3e20bc65a3647fdebcb829
This paper presents a machine learning method for event cause analysis to enhance situational awareness in distribution networks. The data streams are captured using time-synchronized high sampling rates synchro waveform measurement units (SWMU). The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ba101b6897dc00bd9c10043e0f16b30
Publikováno v:
2019 North American Power Symposium (NAPS).
The classification of events or sudden changes in power networks versus normal abrupt changes or switching actions is essential to take appropriate maintenance actions that guarantee the quality of power delivery. This issue has increased in importan
Autor:
Iman Niazazari, Hanif Livani
Publikováno v:
Electric Power Systems Research. 157:251-260
With the proliferation of micro-phasor measurement units (μPMU) and PMUs in smart grids, time-synchronized high-resolution measurements can be obtained and used for numerous applications such as state estimation and event analysis. Disruptive events
Publikováno v:
European Journal of Electrical Engineering and Computer Science. 3
This paper proposes a novel single objective optimization technique for economic dispatch (ED) in power grids. This new technique is developed based on firework algorithm (FWA) and is implemented in the IEEE 24 bus reliability test system. In this pa
Publikováno v:
European Journal of Electrical Engineering and Computer Science. 3
The optimal sizing and placement of distributed generators have recently drawn a considerable attention to itself. This paper proposes an evolutionary cuckoo optimization algorithm (COA) for optimal placement of distributed generation (DG) in a distr
Publikováno v:
European Journal of Electrical Engineering and Computer Science. 3
The Transmission Expansion Planning (TEP) problem involves adding new lines to the existing electrical transmission network in order to meet the electrical demand requirements. Demand Response (DR) plays an important role in solving the TEP problem d