Semantic Scholar Open Access 2018 2192 sitasi

Fuzzy Logic

N. Bình N. Nam Văn Tấn L. Thanh T. Bắc +6 lainnya

Lihat Sumber DOI

Abstrak

- Maximum power point tracking (MPPT) techniques are widely used in most of photovoltaic (PV) systems to optimize the PV system’s output power which depends on ambient conditions, i.e. solar radiance and PV arrays’ temperature. In general, MPPT techniques can be classified into two categories: Conventional algorithms, such as Perturbation and Observation (P&O) algorithm and Incremental Conductance (INC) algorithm; And artificial intelligence algorithms, such as Fuzzy Logic (FL). In this paper, a survey of these algorithms is conducted in order to analyze, compare and evaluate their performances when they are integrated in a PV power system under dynamic changed conditions. The simulation results, obtained by MATLAB/ Simulink, have pointed out that the dynamic performances of MPPT based FL control are much better than those of P&O and INC algorithms.

Penulis (11)

N. Bình

N. Nam

Văn Tấn

L. Thanh

T. Bắc

Đ. Minh

Đức

Nguyễn Văn Tân

Lê Thành Bắc

Trương Đình

Minh Đức

Format Sitasi

APA MLA BibTeX

Bình, N., Nam, N., Tấn, V., Thanh, L., Bắc, T., Minh, Đ. et al. (2018). Fuzzy Logic. https://doi.org/10.1016/c2013-0-11164-6

Akses Cepat

Lihat di Sumber doi.org/10.1016/c2013-0-11164-6

Informasi Jurnal

Tahun Terbit: 2018
Bahasa: en
Total Sitasi: 2192×
Sumber Database: Semantic Scholar
DOI: 10.1016/c2013-0-11164-6
Akses: Open Access ✓