Bad data analysis and detection using PMU with UPQC integration to grid during fault conditions

Autor:	Preeti Kabra, SUDHA RANI DONEPUDI, Lalitha S V N L
Rok vydání:	2023
Předmět:	MATLAB Unified power quality conditioner Bad data detection Principal component analysis Energy Engineering and Power Technology Electrical and Electronic Engineering Phasor measuring units
Popis:	Analysis of bad data in an IEEE 14 bus system with phasor measuring units (PMU) devices is carried out in this paper. The normal operating condition data achieved from the PMU in the bus system is compared to the data achieved during faults in the bus system. A principal component analysis (PCA) technique is proposed in this paper for distinguishing the difference between data transmission during normal and fault conditions. The PCA approach detects the dynamical magnitudes of the measurements taken and also determines the noise caused by the disturbances. The grid system is updated with unified power quality conditioner (UPQC) improvising the parameters of the system to mitigate the fault. The PMU devices use PCA technique for a comparative analysis of the measured components analyzing the performance of the system under different operating conditions. The simulation of these modules is carried out in Simulink environment of MATLAB software with PCA done concerning time.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65c82c9e204c5a2a8cd05608ac03377a https://zenodo.org/record/7514624 Zobrazit plný text záznamu