Design and simulation of a modified sliding mode controller evaluated with a conventional P&amp;amp;O MPPT controller for solar applications

Kolluru, Venkata Ratnam; Sahu, Gokulananda; Mahapatra, Kamalakanta; Subudhi, Bidyadhar

doi:10.1109/spices.2015.7091473

Cited by 8 publications

(5 citation statements)

References 16 publications

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“…Kolluru et al and Volluru et al investigate a MPPT method for a PV system based on SMC where the existence, hitting, and stability criteria are considered. The proposed method is implemented and compared with the well‐known P&O algorithm proving that the proposed approach can reach the MPP faster with less oscillations.…”

Section: Related Work On Sliding Mode Mpptmentioning

confidence: 99%

PSO‐based SMC variable step size P&O MPPT controller for PV systems under fast changing atmospheric conditions

Harrag

Messalti

2019

Int J Numerical Modelling

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This paper proposes an innovative technique for designing sliding mode maximum power point tracking (MPPT) controller for photovoltaic (PV) systems under fast changing atmospheric conditions. The particle swarm optimization (PSO) algorithm is used to find the optimal sliding mode controller (SMC) gains used to drive the variable step of the conventional perturb and observe (P&O) algorithm. The system operates in two modes: offline mode required for testing different set of SMC gains leading to optimum values; and online mode where the SMC optimum gains were used to drive the variable step of the P&O MPPT. The effectiveness of the proposed MPPT has been studied successfully using a Solarex MSX-60 module connected to a boost DC-DC converter powering a resistive load. Comparison study of the proposed MPPT with the classical fixed step P&O is presented showing a good efficiency and improvements of the proposed algorithm in transient, steady-state, and dynamic responses, especially under fast changing atmospheric conditions. Besides using PSO to tune the SMC parameters, our main contribution consists of improving the performance of proposed algorithm to track effectively the maximum power point (MPP) with low oscillation, low ripple, low overshoot, and good rapidity in slow and fast changing atmospheric conditions compared with conventional P&O. KEYWORDS fixed step size, MPPT, particle swarm optimization, photovoltaic system, sliding mode controller, variable step size

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Section: Related Work On Sliding Mode Mpptmentioning

confidence: 99%

PSO‐based SMC variable step size P&O MPPT controller for PV systems under fast changing atmospheric conditions

Harrag

Messalti

2019

Int J Numerical Modelling

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“…Whenever compared to SCIG, DFIG gives better power performance. But cost of maintenance is high [12][13][14][15][16]. …”

Section: Casementioning

confidence: 99%

Modeling and Implementation of MPPT based Wind Energy System Using Cuckoo Search

Sk¹,

S²

2018

IJET

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This paper presents adjustable speed generators for wind turbines. In order to improve the potential and performance of wind turbine system this paper proposes a concept DFIG. Generally wind nature is not fixed it varies linearly w.r.t time, hence, a MPPT controller is proposed in this paper. This paper presents the DFIG wind energy system. A Control strategy implemented and controlled by framing rotor reference frame axis in terms of direct and quadrature axis coordinates. A PI based RSC and GSC controllers are introduced to control the power through the wind system to grid. This proposed model is implemented and verified by using Matlab/Simulink.

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“…Solar energy is converted in electrical energy with imposement of solar radiation on the solar panels due to the phenomenon called 'photo electric effect' [31][32][33]. Here, 6 panels are grouped together by forming of an array with the pair of 2 series-series and such 3 parallel arrangements for obtaining the maximum optimum output voltage and current.…”

Section: Solar Pv Array Modelingmentioning

confidence: 99%

Indirect Vector Controlled Asynchronous Motor Drive’s Dynamic Performance and Analysis with A New Modified MPPT Controller

Pakkiraiah¹,

Ratnakanth²,

Haribabu³

et al. 2018

IJET

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Generation of electricity from the PV system has nowadays chosen as a best energy collecting source, due to its abundance availability and also to save the conventional energy sources to the future generation. Because all the conventional sources are coming to an extinct. That is the reason, everybody are looking towards the available renewable energy resources like wind, solar, bio mass, ocean, tidal and geothermal. But, upon those, solar and wind sources are maximum preferred sources, due to their easy availability and easy way of collection of energy. This paper presents a modeling of solar photovoltaic (PV) array with a new modified maximum power point tracking (MPPT) controller, which enhances the PV system performance even at abnormal weather conditions. That the existed MPPT controllers were developed based upon the ideal characteristics of constant irradiance with variable temperature and constant temperature with variable irradiance. To overcome the above problem a practical data is considered for designing of MPPT controller which is based upon variable irradiance. But here, it is developed with the variable irradiance and variable temperature with better performance of the system. The output obtained from the PV with a new modified MPPT is given to the boost converter with an inverter to find the dynamic performance of an indirect vector controlled asynchronous motor drive under different operating conditions. For inverter control, a space vector modulation (SVM) algorithm is used, in which the calculation of switching times is proportional to the instantaneous values of the reference phase voltages. The dynamic performance responses like phasor current, torque and speed of the drive by the new modified MPPT along with SVM controlling technique of the inverter are compared and analyzed with the existed method for different operating conditions.

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Design and simulation of a modified sliding mode controller evaluated with a conventional P&O MPPT controller for solar applications

Cited by 8 publications

References 16 publications

PSO‐based SMC variable step size P&O MPPT controller for PV systems under fast changing atmospheric conditions

PSO‐based SMC variable step size P&O MPPT controller for PV systems under fast changing atmospheric conditions

Modeling and Implementation of MPPT based Wind Energy System Using Cuckoo Search

Indirect Vector Controlled Asynchronous Motor Drive’s Dynamic Performance and Analysis with A New Modified MPPT Controller

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