- Tytuł:
- Power quality management in electrical grid using SCANN controller-based UPQC
- Autorzy:
-
Varadharajan, Balaji
Subramanian, Chitra - Powiązania:
- https://bibliotekanauki.pl/articles/2173547.pdf
- Data publikacji:
- 2022
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
SCANN
single comprehensive artificial neural network
UPQC
unified power quality conditioner
total harmonic distortion
particle swarm optimization
POS
sztuczna sieć neuronowa pojedyncza kompleksowa
zunifikowany kondycjoner jakości energii
współczynnik zawartości harmonicznych
optymalizacja roju cząstek
PSO - Opis:
- The electrical grid integration takes great attention because of the increasing population in the nonlinear load connected to the power distribution system. This manuscript deals with the power quality issues and mitigations associated with the electrical grid. The proposed single comprehensive artificial neural network (SCANN) controller with unified power quality conditioner (UPQC) is modelled in MATLAB Simulink environment. It provides series and shunt compensation that helps mitigate voltage and current distortion at the end of the distribution system. Initially, four proportional integral (PI) controllers are used to control the UPQC. Later the trained SCANN controller replaces four PI Controllers for better control action. PI and SCANN controllers’ simulation results are compared to find the optimal solutions. A prototype model of SCANN controller is constructed and tested. The test results show that the SCANN based UPQC maintains grid voltage and current magnitude within permissible limits under fluctuating conditions.
- Źródło:
-
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 1; e140257, 1--9
0239-7528 - Pojawia się w:
- Bulletin of the Polish Academy of Sciences. Technical Sciences
- Dostawca treści:
- Biblioteka Nauki
Artykuł