Home
Giới thiệu
Tài khoản
Đăng nhập
Quên mật khẩu
Đổi mật khẩu
Đăng ký tạo tài khoản
Liệt kê
Công trình khoa học
Bài báo trong nước
Bài báo quốc tế
Sách và giáo trình
Thống kê
Công trình khoa học
Bài báo khoa học
Sách và giáo trình
Giáo sư
Phó giáo sư
Tiến sĩ
Thạc sĩ
Lĩnh vực nghiên cứu
Tìm kiếm
Cá nhân
Nội dung
Góp ý
Hiệu chỉnh lý lịch
Thông tin chung
English
Đề tài NC khoa học
Bài báo, báo cáo khoa học
Hướng dẫn Sau đại học
Sách và giáo trình
Các học phần và môn giảng dạy
Giải thưởng khoa học, Phát minh, sáng chế
Khen thưởng
Thông tin khác
Tài liệu tham khảo
Hiệu chỉnh
Số người truy cập: 111,199,812
Computationally efficient model predictive power control with self-balancing capacitor voltages for grid-tied nested neutral point clamped inverter
Tác giả hoặc Nhóm tác giả:
Van Quang Binh Ngo, Khanh Quang Nguyen, Pham Viet Tuan, Kim-Anh Nguyen
Nơi đăng:
International Journal of Modelling and Simulation (ESCI,Q2);
S
ố:
https://doi.org/10.1080/02286203.2022.2155928;
Từ->đến trang
: 1-12;
Năm:
2022
Lĩnh vực:
Khoa học công nghệ;
Loại:
Bài báo khoa học;
Thể loại:
Quốc tế
TÓM TẮT
This study outlines an effective power control strategy based on a finite control set model predictive control (FCS-MPC) of grid-tie four-level Nested Neutral Point Clamped Inverter. A mathematical model is employed to predict the behavior of grid current and power that is used to evaluate the cost function. In contrast to the traditional FCS-MPC, the suggested method only evaluates the optimization loop with the feasible candidate switching states, resulting in a reduced computational burden. The main contribution of our study is to incorporate the selection of distribution of inverter voltage vectors and self-balance of flying capacitor voltage without weighting factor. The computational load of the optimization processes is not only greatly decreased by selecting the appropriate switching states among redundant voltage vectors but also remaining the balance of flying capacitor voltages. Moreover, the difficulty of selecting the optimal weighting factor is avoided with our research. A simulation study of a 4 MW power system with various operational statuses is performed using Matlab software. The comparison results of the suggested method, traditional FCS-MPC, and previous FCS-MPC have verified the significance and validity of the offered technique with regard to steady-state, transient-state operational conditions, and computational burden.
ABSTRACT
This study outlines an effective power control strategy based on a finite control set model predictive control (FCS-MPC) of grid-tie four-level Nested Neutral Point Clamped Inverter. A mathematical model is employed to predict the behavior of grid current and power that is used to evaluate the cost function. In contrast to the traditional FCS-MPC, the suggested method only evaluates the optimization loop with the feasible candidate switching states, resulting in a reduced computational burden. The main contribution of our study is to incorporate the selection of distribution of inverter voltage vectors and self-balance of flying capacitor voltage without weighting factor. The computational load of the optimization processes is not only greatly decreased by selecting the appropriate switching states among redundant voltage vectors but also remaining the balance of flying capacitor voltages. Moreover, the difficulty of selecting the optimal weighting factor is avoided with our research. A simulation study of a 4 MW power system with various operational statuses is performed using Matlab software. The comparison results of the suggested method, traditional FCS-MPC, and previous FCS-MPC have verified the significance and validity of the offered technique with regard to steady-state, transient-state operational conditions, and computational burden.
© Đại học Đà Nẵng
Địa chỉ: 41 Lê Duẩn Thành phố Đà Nẵng
Điện thoại: (84) 0236 3822 041 ; Email: dhdn@ac.udn.vn