"matrix of power" is a correct and usable phrase in written English.
It refers to a complex system or network of power relationships within a society or organization. Here is an example sentence using "matrix of power": "The political landscape was shaped by a complex matrix of power, with different factions vying for control."
Since the vast blackout of Aug. 14, much of the focus of elected officials and the public has been on how to fix the country's straining matrix of power lines and plants.
Then, a model order determination criterion is proposed to estimate the model order and the state matrix of power system is obtained.
Admittance matrix of power system is identified by using genetic algorithm with an accuracy of 0.5%, while an error of harmonic voltage estimation is lower than 1.129%.
With the help of Jacobian matrix of power flow equations, the controlled parameters of TCSC, i.e. line reactance, line current, and line flow, are also defined as function of bus voltages.
Specifically, it is assumed that the matrix of power spectral density (psd) functions of the stationary components is not known, while, the variance, average rate of zero crossings, entropy rate and frequency range of interest are taken to be known.
The figure of the "citizen" presupposed an idea of the "human" that had already been formed during the Renaissance and was one of the constitutive elements of the colonial matrix of power.
This is readily observed in the half-matrix of power for instant declines which shows power increasing steadily with time between samples, whether early or late in the bottleneck, making the matrix relatively symmetric (though with some loss of power in the latest generations, see Discussion).
The algorithm is based on node voltage method, Kron reduction matrix, modeling of power system in frequency domain using phase values and optimization genetic algorithm.
By manipulating the bus admittance matrix of a power system, a useful submatrix, FLG, can be derived.
The eigenvectors of the covariance matrix of the power spectral densities for the training set, along with learning vector quantization, were used for training, and the Euclidean distance, for recognition.
If the demand matrix is considered for the power plant I, D, as ( left[ {begin{array}{*{20}c} {D_{g,g} } & {D_{g,ng} } {D_{ng,g} } & {D_{ng,ng} } end{array} } right] ), it is known that the demand matrix of the power plant II is ( D^{text{T}} ).
