Smart inverter design and implementation
Başlık çevirisi mevcut değil.
- Tez No: 718456
- Danışmanlar: DR. GEORGE KONSTANTOPOULOS
- Tez Türü: Yüksek Lisans
- Konular: Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontrol, Computer Engineering and Computer Science and Control
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 2017
- Dil: İngilizce
- Üniversite: The Unıversıty Of Sheffıeld
- Enstitü: Yurtdışı Enstitü
- Ana Bilim Dalı: Belirtilmemiş.
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: Belirtilmemiş.
Özet
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Özet (Çeviri)
In this study, to address the problems of the integration of renewable energy sources and power interfaces, firstly, the definitions of the smart grid, microgrid, distributed generation, hierarchical control, droop control, and power inverters, which are both islanded and grid-connected are provided. Having completed the literature review from general to specific, and explained the complications in implementing conventional droop controllers in power system applications, the ways how to stabilize the system are considered. The stability of the power systems applications is extensively studied regarding various controller types. Among them, one of the most well-known is droop control, as it does not need any communication structure between the system levels, and it can regulate the system frequency and voltage as requested in both islanded and gridconnected cases. However, in many of the studies carried out in the literature, such as Marwali et al., (2007) and Majumder, (2013), linearization techniques have been used to check the stability of the system, even if the system equations include nonlinearities. In this paper, regarding those nonlinearities, the two contemporary controllers, which are bounded droop controller (BDC) (Konstantopoulos et al., 2015) and current limiting droop controller (CLDC) (Zhong and Konstantopoulos, 2016) are analyzed, and implemented for the systems having two parallel-connected inverters, and one grid-connected inverter in single-phase, respectively. For the latter one, the analysis is extended to the grid-faulty case improving the original controller. In conclusion, after mathematically proving the stability of the controller using nonlinear theory, the simulations are realized using Matlab/Simulink Simscape system toolbox, system block diagrams and results are explicitly provided with an extensive interpretation.
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