Sub-band RMS, real power and reactive power measurement principle and algorithm based on wavelets are introduced, and then 90°phase-shift networks used in reactive power measurement is introduced.

To solve precision problem of power when the power factor is lower,ATT7022 is used as the core to gather AC quantities to make the precision of real power meet 0.5 s and the one of reactive power meet the second-level.

The fact of that the critical boundary of practical dynamic security region (PDSR) in real power systems can be described as one or a few hyper planes in injection space provides an effective tool for optimizing security control.

The proposed model and algorithm are applied to the RBTS system, IEEE One Area RTS96 system and a real power system for reliability computation and analysis.

In this paper, the power network planning method based on the immune algorithm has also been applied in a real power network in China and a good planning result is obtained.

The proposed model and algorithm are applied to the RBTS system, IEEE One Area RTS96 system and a real power system for reliability computation and analysis. Results show that the new algorithm is credible and validity.

The Fraunhofer diffraction picture of grinding wheel topography is theoretically analyzed, and its real power spectrum pattern is also described with the experimental method.

In this paper, graph theory is used to calculate the contributions of individual generators and loads to line flows and the real power transfer among individual generators and loads that are significant to transmission open access.

In this paper,based on the experiment of greenhouse cleaning machine,the torque of turbine,theoretical power,real power and efficiency are obtained through dealing with experimental data using Excel.

The paper gives general formula (17) for coefficients of any real power ζ of a generalized power series (4).

In addition, we discuss coverage-capacity curves as a function of the percentage of satisfied users, taking into account also the imperfections of the real power-control procedures.

The lack of systematic experimental works makes a wide comparison with the theoretical results very difficult, so the real power of the models can not yet be fully assessed and only introductory considerations are tentatively given.

This has naturally led to the speculation that by abandoning past fixity real power over the past may be possible.

The model is compared with two sets of real power plants, the first one containing power plants of old design (before 1960's) and the second one being formed by modern nuclear power plants.

Let X(t) be a stationary ergodic random signal, then its power spectrum density at frequency f isWhen we find the power spectrum density by means of the power spectrum density analyzer, the time of integration T. the filter bandwidth B and the RC-time constant of the integrator are not ideal, therefore the output of the analyzer is a random variable. This paper derives the formula used to calculate the influence of the RC-time constant to the output of the analyzer. The output of the analyzer is a biased estimate...

Let X(t) be a stationary ergodic random signal, then its power spectrum density at frequency f isWhen we find the power spectrum density by means of the power spectrum density analyzer, the time of integration T. the filter bandwidth B and the RC-time constant of the integrator are not ideal, therefore the output of the analyzer is a random variable. This paper derives the formula used to calculate the influence of the RC-time constant to the output of the analyzer. The output of the analyzer is a biased estimate of the real power spectrum density. When T≥4RC, the relative deviation may be less than 2%. The RC-time constant has no significant influence to the statistical error, but the relative deviation may be more than 20 db when the time of integration T is too short. The relative accuracy may be adjusted by the standard Sine signal. The-oretical results presented in this paper are examined to be coincident with the experimental ones.

A random distribution with multiparameter is presented with its numerical features discussed. Many common distributions, such as that of Chi-square, Gamma, Rayleigh, Maxwell, Exponential, Erlang and Webull, etc. are all special ones which can be developed from the distribution proposed. It is proved statistically that the positive real power of the square sum of one or more independent subsamples out of the normal distribution follows this distribution. Several important deductions are made and an example...

A random distribution with multiparameter is presented with its numerical features discussed. Many common distributions, such as that of Chi-square, Gamma, Rayleigh, Maxwell, Exponential, Erlang and Webull, etc. are all special ones which can be developed from the distribution proposed. It is proved statistically that the positive real power of the square sum of one or more independent subsamples out of the normal distribution follows this distribution. Several important deductions are made and an example of practical interest is given.

The self-tuning technology is a new branch of the mordern control theory. In this paper we try to present the application of the self tuning prediction approach to the power system load forecasting. After a short introduction of its basic principle, a new power system load model is proposed in the paper, as it is the key-point of the forecasting problem. Simulation with a set of real power system ioad data shows that the average prediction error is about 3.24%. It also demonstrates that the approach has...

The self-tuning technology is a new branch of the mordern control theory. In this paper we try to present the application of the self tuning prediction approach to the power system load forecasting. After a short introduction of its basic principle, a new power system load model is proposed in the paper, as it is the key-point of the forecasting problem. Simulation with a set of real power system ioad data shows that the average prediction error is about 3.24%. It also demonstrates that the approach has a number of advantages such as simple algorithm, good convergence, etc.. It is considered that the approach is applicable while further work is needed for its practical application.