Voltage stability analysis for grid connected PV system using optimized control on IOT based ANFIS

• Autorzy: Kumar T. Praveen , Ganapathy S. , Manikandan M.

Identyfikatory

DOI

10.15199/48.2024.02.53

Warianty tytułu

PL

Analiza stabilności napięcia dla systemu fotowoltaicznego podłączonego do sieci przy użyciu zoptymalizowanego sterowania w oparciu o ANFIS IOT

• Języki publikacji: EN

Abstrakty

EN

The growing prevalence of sensitive power electronic loads and PV system installations in distributed power system have sparked serious concerns about the maintenance of Power Quality (PQ). The non-linear current drawn by these sensitive loads lead to significant amount of voltage instabilities at the Point of Common Coupling (PCC), while intermittency associated with the Photovoltaic (PV) system incites grid instability. Thus, the poor PQ has adverse impact over the lifetime of every components interfaced to the distributed power system, ensuing enormous economic losses. With the aim of enhancing the stability of the distributed power system by curbing the PQ issues, a Static Synchronous Compensator (STATCOM), which is an effective Flexible AC Transmission Systems (FACTS) controller is selected in this work. Moreover, the output from the PV is maximized with the aid of Boost Integrated Landsman Converter (BILC) and Cascaded Adaptive Network-based Fuzzy Inference System (ANFIS) based Maximum Power Point Tracking (MPPT) approach. Moreover, the essential parameters that impact the operation of the proposed topology is tracked and monitored in Internet of Things (IoT) platform. The entire approach is evaluated experimentally and through MATLAB simulation.

PL

Rosnące rozpowszechnienie wrażliwych obciążeń energoelektronicznych i instalacji systemów fotowoltaicznych w rozproszonym systemie elektroenergetycznym wywołało poważne obawy dotyczące utrzymania jakości energii (PQ). Nieliniowy prąd pobierany przez te wrażliwe obciążenia prowadzi do znacznych niestabilności napięcia w punkcie wspólnego sprzężenia (PCC), podczas gdy przerywanie związane z systemem fotowoltaicznym (PV) powoduje niestabilność sieci. Zatem niska jakość PQ ma niekorzystny wpływ na cały okres eksploatacji wszystkich komponentów podłączonych do rozproszonego systemu elektroenergetycznego, powodując ogromne straty ekonomiczne. W celu zwiększenia stabilności rozproszonego systemu elektroenergetycznego poprzez ograniczenie problemów PQ, w tej pracy wybrano statyczny kompensator synchroniczny (STATCOM), który jest skutecznym sterownikiem elastycznych systemów transmisji prądu przemiennego (FACTS). Co więcej, moc wyjściowa fotowoltaiki jest maksymalizowana za pomocą zintegrowanego konwertera Landsman Boost (BILC) i opartego na kaskadowej sieci adaptacyjnej systemu wnioskowania rozmytego (ANFIS) opartego na śledzeniu maksymalnego punktu mocy (MPPT). Co więcej, istotne parametry mające wpływ na działanie proponowanej topologii są śledzone i monitorowane w platformie Internetu Rzeczy (IoT). Całe podejście jest oceniane eksperymentalnie i poprzez symulację MATLAB-a.

Słowa kluczowe

EN

PV system; power quality; FACTS; STATCOM; cascaded ANFIS; boost integrated Landsman converter; loT

PL

system fotowoltaiczny; jakość energii; FACTS; STATCOM; kaskadowy ANFIS; zintegrowany konwerter Landsman Boost; loT

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2024
• Tom: R. 100, nr 2
• Strony: 259--266
• Opis fizyczny: Bibliogr. 38 poz., rys., tab.

Twórcy

autor

Kumar T. Praveen

• Department of Electrical Engineering, Annamalai University Tamil Nadu,608401, India

• https://orcid.org/0000-0002-4881-8157

autor

Ganapathy S.

• Department of Electrical Engineering, Annamalai University Tamil Nadu,608401, India

autor

Manikandan M.

• Department of Electrical and Electronics Engineering, Jyothishmathi Institute of Technology and Science, India

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).