Development and implementation of control algorithms for a photovoltaic system

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

doi:10.1109/sces.2013.6547525

Cited by 9 publications

(12 citation statements)

References 12 publications

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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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“…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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“…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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“…PV array has to be operated at MPP in order to extract maximum power output. Various power management issues concerning improvement in the conversion efficiency of a PV array [4], thus maximizing PV power output. The maximum power of the PV array changes with shading and/or climatic conditions.…”

Section: Introductionmentioning

confidence: 99%

“…The maximum power of the PV array changes with shading and/or climatic conditions. Thus, an important challenge in a PV system is to ensure that maximum energy is generated from the PV array with a dynamic variation of its output characteristic when connected to a variable load [4].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Real time implementation and comparison of PI and modified Inc Cond control algorithms for solar applications

Kolluru

Mahapatra

Subudhi

et al. 2014

2014 IEEE 6th India International Conference on Power Electronics (IICPE)

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This paper depicts the comparison of control algorithms for a Photovoltaic (PV) system in real time. Modified Incremental Conductance (Inc Cond) with fixed step size algorithm is used with a DC-DC boost converter to track maximum power from a PV system. PV output is connected to a Boost converter to regulate and increase the voltage upto a desired level. The modified inccond MPPT technique is compared with a conventional PI controller and was observed that, the modified Inc Cond MPPT is tracking 7.4% more power than the conventional PI controller. MPPT control algorithms are developed, compared and simulated in MATLAB/SIMULINK. Simulated and real time results are presented and discussed in this paper. The real time results are verified with digital simulator OPAL-RT experimental setup.

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Development and implementation of control algorithms for a photovoltaic system

Cited by 9 publications

References 12 publications

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

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

Real time implementation and comparison of PI and modified Inc Cond control algorithms for solar applications

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