Voltage Regulation of Non Linear Load Using STATCOM with Fuzzy Technique
Munagapati Venkata Kishore
, C.Ashok Kumar , S Chandini
STATCOM can provide fast and efficient reactive power support to maintain power system voltage stability. In the literature, various STATCOM control methods have been discussed including many applications of proportional-integral (PI) controllers. However, these previous works obtain the PI gains via a trial-and-error approach or extensive studies with a tradeoff of performance and applicability. Hence, control parameters for the optimal performance at a given operating point may not be effective at a different operating point. This paper proposes a new control model based on adaptive PI control, which can self-adjust the control gains during a disturbance such that the performance always matches a desired response, regardless of the change of operating condition. Since the adjustment is autonomous, this gives the plug-and-play capability for STATCOM operation. In the simulation test, the adaptive PI control shows consistent excellence under various operating conditions, such as different initial control gains, different load levels, and change of transmission network, consecutive disturbances, and a severe disturbance. In contrast, the conventional STATCOM control with tuned, Fuzzy gains usually perform fine in the original system. This total project done in a MATLAB SIMULATION Software.
"Voltage Regulation of Non Linear Load Using STATCOM with Fuzzy Technique", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 11, page no.45 - 51, November-2016, Available :https://ijsdr.org/papers/IJSDR1611008.pdf
Volume 1
Issue 11,
November-2016
Pages : 45 - 51
Paper Reg. ID: IJSDR_160924
Published Paper Id: IJSDR1611008
Downloads: 000347046
Research Area: Engineering
Country: KADAPA, ANDHRA PRADESH, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave