• No results found

Power Flow Control of Power Systems Using UPFC Based on Adaptive Neuro Fuzzy

N/A
N/A
Protected

Academic year: 2021

Share "Power Flow Control of Power Systems Using UPFC Based on Adaptive Neuro Fuzzy"

Copied!
6
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Figure 1. Basic circuit of a UPFC in transmission line
Figure 3. The architecture of the ANFIS
Figure 6. UPFC dynamic responses to changes in load of power system from 587 MW to 687 MW

References

Related documents

Preliminary studies of young children confirmed that the IFN- ␥ ELISPOT assay was a more sensitive measure of influenza memory immune responses than serum antibody and that

Objective: This study aimed to determine the following: 1) the proportion of women in the homeless population with schizophrenia (SZ) or bipolar disorder (BD), in addition to

Figure 1: Schematic of digital volumetric imaging technique ... 115 Figure 3: a) Grayscale DVI cross-sectional image of a fibrous structure, b) Histogram distribution

This paper shows that estimating the loss fraction per transmitted packet highly depends on the current transmission rate of the connection as well as the actual loss fraction of

sputtering the incident particles strike the substrate and knock off substrate atoms through a. momentum-exchange

Under usual conditions most clones derived from individuals collected in nature clot and pair in the typical manner described above, when mixed with others of a different

f o r calcium and magnesium from the hard water, the exhausted cation exchanger. can be regenerated with a solution of sodium

Thus far all investigations of pseudoallelic loci have been carried out on multiple allelic loci, but since it appears that at a number of loci (e.g., lozenge)