instantaneous reactive power
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2021 ◽  
Vol 2083 (4) ◽  
pp. 042050
Author(s):  
YiWen Hu

Abstract Briefly describes several more common algorithm of reactive power when the input signal is a sine signal and research all kinds of reactive power calculation method, through matlab using the theory of monte carlo random multiple sets of random number them as the amplitude and phase Angle of voltage, current, the different calculation method of the size of the instantaneous reactive power, To get the best calculation method. Multiple groups of random numbers can avoid the error caused by using only one set of data for testing in existing papers.


2021 ◽  
Vol 675 (1) ◽  
pp. 012103
Author(s):  
Mengzhen Zhao ◽  
Jie Zhang ◽  
Xin Zhang ◽  
Wandong Zhou ◽  
Anfei Xu

2021 ◽  
Vol 22 (2) ◽  
pp. 161-175
Author(s):  
Maheswar Prasad Behera ◽  
Pravat Kumar Ray

Abstract This work investigates the performance of a single-phase grid-connected photovoltaic (PV) system under non-ideal source voltage conditions using a fuzzy logic controller. The single-phase instantaneous reactive power theory has been modified to explore the harmonic and reactive power compensation with distorted grid voltage excitation while transferring active and reactive power to the grid and the non-linear load. Instead of a traditional Proportional-Integral (PI) controller, the proposed method implements a fuzzy logic controller for the extraction of the reference compensating current. This method is compared with the traditional single-phase instantaneous reactive power theory. The advantage associated with a fuzzy logic controller is that it does not need accurate mathematical modeling of the system, instead, it is based upon the linguistic characterization of the input and output variables. Besides, care has been taken to provide uninterrupted compensation throughout the variation of the solar irradiation level. The proposed method has also been verified through a laboratory-developed prototype using a DS1103 processor.


Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 434
Author(s):  
Zhongyi Yang ◽  
Yiguang Chen

Interturn short circuits are a common fault of permanent magnet synchronous motors (PMSMs). This paper proposes a new method to detect the interturn short-circuit fault (ISCF) of a five-phase PMSM. The method first takes the command voltage and measured current of each phase winding as the original signal and then obtains the delay signal orthogonal to the original signal via Hilbert transform. Then, the generalized instantaneous reactive power of each phase can be calculated from the orthogonal voltage and current signals of each phase. Finally, the influence of the ISCF on the generalized instantaneous reactive power of each phase is analyzed under different working conditions. By comparing the difference in the generalized instantaneous reactive power of each phase, it can be determined which phase winding has the ISCF. The proposed method is verified by simulated and experimental results.


Author(s):  
Eric Nwokolo ◽  
◽  
Ifeanyi Chinaeke-Ogbuka ◽  
Augustine Ajibo ◽  
Cosmas Ogbuka ◽  
...  

The performance comparison of Sliding Mode (SM) control and instantaneous reactive power theory (PQ) control for three-phase Active Power Filter (APF) is presented. Algorithms for SM and PQ techniques were developed and used in the control of APF to shunt harmonics due to non-linear loads from the power grid. Total Harmonic Distortion (THD) was used for performance verification. The PQ control reduced the THD value, on average, from 29.84% to 4.937% while the SM control reduced the THD value, on average, from 29.84% to 5.27%. The results obtained show that PQ control offered slightly better performance in terms of reduced THD than the SM control even though the implementation of SM was less complex due to the use of programmable chips. In addition, the SM control recovered faster from transient disturbances than the PQ algorithm. Both results are, however, within the conformity limit of the IEEE standard and have proven to be good for harmonic mitigation. MATLAB/Simulink 2018 version was used as the simulation tool.


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