Improved double integral sliding mode MPPT controller based parameter estimation for a stand-alone photovoltaic system

被引:60
作者
Chatrenour, Nasrin [1 ]
Razmi, Hadi [1 ]
Doagou-Mojarrad, Hasan [1 ]
机构
[1] Islamic Azad Univ, Dept Elect Engn, East Tehran Branch, Tehran, Iran
关键词
Improved Double Integral Sliding Mode; Controller (IDISMC); Maximum Power Point Tracking (MPPT); Photovoltaic (PV) system; Genetic Algorithm (GA); POWER POINT TRACKING; PV SYSTEM; BOOST CONVERTERS; ALGORITHM; INVERTER; PERTURB;
D O I
10.1016/j.enconman.2017.02.055
中图分类号
O414.1 [热力学];
学科分类号
摘要
In this paper, an Improved Double Integral Sliding Mode MPPT Controller (IDISMC) for a stand-alone photovoltaic (PV) system is proposed. Performance of a sliding mode controller (SMC) is greatly influenced by the choice of the sliding surface. Switching surface coefficients were selected by the use of Hurwitz stability theorem. The IDISMC not only is robust against parametric and non-parametric uncertainties, but also has a very small steady-state error, thanks to the use of double integral of tracking voltage error in the definition of its sliding surface. For realistic simulation, Genetic Algorithm (GA) method was used to estimate parameters of solar panels model. The validity of the proposed double integral SMC in maximum power point tracking was approved by comparing the simulation results obtained for a sample PV system with the results of other methods. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:97 / 109
页数:13
相关论文
共 24 条
[1]   Perturb and Observe MPPT algorithm with a current controller based on the sliding mode [J].
Bianconi, Enrico ;
Calvente, Javier ;
Giral, Roberto ;
Mamarelis, Emilio ;
Petrone, Giovanni ;
Ramos-Paja, Carlos Andres ;
Spagnuolo, Giovanni ;
Vitelli, Massimo .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2013, 44 (01) :346-356
[2]   Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review [J].
Chin, Vun Jack ;
Salam, Zainal ;
Ishaque, Kashif .
APPLIED ENERGY, 2015, 154 :500-519
[3]   Backstepping sliding mode control for maximum power point tracking of a photovoltaic system [J].
Dahech, Karim ;
Allouche, Moez ;
Damak, Tarak ;
Tadeo, Fernando .
ELECTRIC POWER SYSTEMS RESEARCH, 2017, 143 :182-188
[4]   A new maximum power point method based on a sliding mode approach for solar energy harvesting [J].
Farhat, Maissa ;
Barambones, Oscar ;
Sbita, Lassaad .
APPLIED ENERGY, 2017, 185 :1185-1198
[5]   Intelligent optimization to integrate a plug-in hybrid electric vehicle smart parking lot with renewable energy resources and enhance grid characteristics [J].
Fazelpour, Farivar ;
Vafaeipour, Majid ;
Rahbari, Omid ;
Rosen, Marc A. .
ENERGY CONVERSION AND MANAGEMENT, 2014, 77 :250-261
[6]   Dual surface sliding mode controller for photovoltaic systems enhanced by a ripple domain search maximum power point tracking algorithm for fast changing environmental conditions [J].
Ghaffarzadeh, Navid ;
Bijani, Sepehr .
IET RENEWABLE POWER GENERATION, 2016, 10 (05) :611-622
[7]   Maximum power point tracking of photovoltaic systems based on the sliding mode control of the module admittance [J].
Gonzalez Montoya, Daniel ;
Ramos Paja, Carlos Andres ;
Giral, Roberto .
ELECTRIC POWER SYSTEMS RESEARCH, 2016, 136 :125-134
[8]   Comparative performance of PV panels of different technologies over one year of exposure: Application to a coastal Mediterranean region of Algeria [J].
Guenounou, A. ;
Malek, A. ;
Aillerie, M. .
ENERGY CONVERSION AND MANAGEMENT, 2016, 114 :356-363
[9]   Adaptive fuzzy controller based MPPT for photovoltaic systems [J].
Guenounou, Ouahib ;
Dahhou, Boutaib ;
Chabour, Ferhat .
ENERGY CONVERSION AND MANAGEMENT, 2014, 78 :843-850
[10]   Impedance Matching in Photovoltaic Systems Using Cascaded Boost Converters and Sliding-Mode Control [J].
Haroun, Reham ;
El Aroudi, Abdelali ;
Cid-Pastor, Angel ;
Garica, Germain ;
Olalla, Carlos ;
Martinez-Salamero, Luis .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2015, 30 (06) :3185-3199