2019
DOI: 10.22214/ijraset.2019.9087
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A Review Paper on D-STATCOM

Abstract: In this paper the aim of various FACTS devices have been studied. Various power electronics devices plays very significant role in FACTS devices .The switching capabilities of power electronics devices can be effectively used to enhance the power quality. Various FACTS devices has been established for control of various problems related to power quality such as DVR,SSSC,TCSC,D-STATCOM etc. In these paper the charactertics of D-STATCOM has been discussed .

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“…Quantum computing, a cutting-edge technology that employs the principles of quantum mechanics, has arisen as a promising means of addressing complex optimization issues (Schlexer Lamoureux et al, 2019) (Krishnakumar, 2020) (Hoo Teo et al, 2021) (Inglesant et al, 2016) (Dong et al, 2020) (Horstemeyer, 2012). Using quantum phenomena such as superposition and entanglement, quantum computers may be able to perform certain computational tasks exponentially quicker than conventional computers (Marella & Parisa, 2020) (Gyongyosi & Imre, 2019) (Cacciapuoti et al, 2019) (Preskill, 2012) (Jha, 2021) (Cusumano, 2018) (Ajagekar & You, 2019) (Wittek, 2014) (Jhanwar & Nene, 2021) (Deodoro et al, 2021). This extraordinary computational power presents a rare opportunity to address the complexity and efficiency challenges encountered by conventional supply chain optimization techniques (Zhou et al, 2017) (Werbos, 2011) (Serale et al, 2018) (Gharehchopogh & Gholizadeh, 2019).…”
mentioning
confidence: 99%
“…Quantum computing, a cutting-edge technology that employs the principles of quantum mechanics, has arisen as a promising means of addressing complex optimization issues (Schlexer Lamoureux et al, 2019) (Krishnakumar, 2020) (Hoo Teo et al, 2021) (Inglesant et al, 2016) (Dong et al, 2020) (Horstemeyer, 2012). Using quantum phenomena such as superposition and entanglement, quantum computers may be able to perform certain computational tasks exponentially quicker than conventional computers (Marella & Parisa, 2020) (Gyongyosi & Imre, 2019) (Cacciapuoti et al, 2019) (Preskill, 2012) (Jha, 2021) (Cusumano, 2018) (Ajagekar & You, 2019) (Wittek, 2014) (Jhanwar & Nene, 2021) (Deodoro et al, 2021). This extraordinary computational power presents a rare opportunity to address the complexity and efficiency challenges encountered by conventional supply chain optimization techniques (Zhou et al, 2017) (Werbos, 2011) (Serale et al, 2018) (Gharehchopogh & Gholizadeh, 2019).…”
mentioning
confidence: 99%