Sentence examples for models for frequency from inspiring English sources

Essential models for frequency response study are included, e.g., generator, load, and under-frequency load shedding (UFLS).

In this section, we extend our fundamental study on the stationarity and ergodicity of SOC simulation models for frequency-nonselective channels to SOC simulation models for frequency-selective channels.

Hence, altogether, 24=16 classes of SOC models for frequency-selective Rayleigh fading channels can now be defined.

In this section, eight classes of SOC simulation models for frequency-nonselective Rayleigh fading channels will be introduced, seven of which are stochastic simulation models and one is completely deterministic.

In this paper, we provided a comprehensive analysis of the stationary and ergodic properties of eight classes of deterministic and stochastic SOC simulation models for frequency-nonselective mobile Rayleigh fading channels.

The time-variant impulse response, denoted by h ~ ( τ ′, t ), of deterministic SOC simulation models for frequency-selective channels can be expressed in the equivalent complex baseband by the following ([8], Eq. (3.9)) h ~ ( τ ′, t ) = ∑ n = 1 N c n e j ( 2 π f n t + θ n ) δ ( τ ′ − τ n ′ ), (42).

To close this gap, we present in this paper a systematic analysis of the wide-sense stationarity, first-order stationarity of the envelope, mean ergodicity, and autocorrelation ergodicity of eight fundamental classes of SOC simulation models for frequency-nonselective SISO Rayleigh fading channels.

The two-hop signal model for frequency hopping can be expressed as (1).

The problem deals with optimization of controllers of doubly fed induction generator modeled for frequency regulation in an interconnected two-area wind power integrated thermal power system.

(d) HVDC: With more and more HVDC projects deployed, the control of HVDC should be modelled for frequency studies, which contains active power modulation, dead band of frequency deviation and active power order sub-modules.

A control strategy of Li-ion ESS participating in grid frequency regulation is constructed and a cost accounting model for frequency regulation considering the effect of battery life degradation is established.