TY - JOUR
T1 - Maximum Power Point Tracking Control of Photovoltaic Systems
T2 - A Polynomial Fuzzy Model-Based Approach
AU - Rakhshan, Mohsen
AU - Vafamand, Navid
AU - Khooban, Mohammad Hassan
AU - Blaabjerg, Frede
PY - 2018/3
Y1 - 2018/3
N2 - This paper introduces a polynomial fuzzy model (PFM)-based maximum power point tracking (MPPT) control approach to increase the performance and efficiency of the solar photovoltaic (PV) electricity generation. The proposed method relies on a polynomial fuzzy modeling, a polynomial parallel distributed compensation, and a sum-of-squares (SOS) decomposition. The proposed method is a generalization of the standard Takagi-Sugeno fuzzy models and linear matrix inequality, which showed its effectiveness in decreasing the tracking time and increasing the efficiency of the PV systems. In this paper, a direct maximum power (DMP)-based control structure is considered for MPPT. Using the PFM representation, the DMP-based control structure is formulated in terms of SOS conditions. Unlike the conventional approaches, the proposed approach does not require exploring the maximum power operational point. Finally, the extensive studies and hardware-in-the-loop simulations are presented to show the effectiveness of the proposed method.
AB - This paper introduces a polynomial fuzzy model (PFM)-based maximum power point tracking (MPPT) control approach to increase the performance and efficiency of the solar photovoltaic (PV) electricity generation. The proposed method relies on a polynomial fuzzy modeling, a polynomial parallel distributed compensation, and a sum-of-squares (SOS) decomposition. The proposed method is a generalization of the standard Takagi-Sugeno fuzzy models and linear matrix inequality, which showed its effectiveness in decreasing the tracking time and increasing the efficiency of the PV systems. In this paper, a direct maximum power (DMP)-based control structure is considered for MPPT. Using the PFM representation, the DMP-based control structure is formulated in terms of SOS conditions. Unlike the conventional approaches, the proposed approach does not require exploring the maximum power operational point. Finally, the extensive studies and hardware-in-the-loop simulations are presented to show the effectiveness of the proposed method.
KW - Maximum power point tracking (MPPT)
KW - Photovoltaic (PV) systems
KW - Polynomial fuzzy model (PFM)
KW - Sum of squares (SOS)
UR - http://www.scopus.com/inward/record.url?scp=85041426256&partnerID=8YFLogxK
U2 - 10.1109/JESTPE.2017.2708815
DO - 10.1109/JESTPE.2017.2708815
M3 - Journal article
SN - 2168-6777
VL - 6
SP - 292
EP - 299
JO - I E E E Journal of Emerging and Selected Topics in Power Electronics
JF - I E E E Journal of Emerging and Selected Topics in Power Electronics
IS - 1
M1 - 7934313
ER -