Soft-Computing Model-Based Controllers for Increased Photovoltaic Plant Efficiencies

Varnham, Abdulhadi; Al-Ibrahim, A.M.; Virk, G.S.; Azzi, Djamel

doi:10.1109/tec.2007.895877

Cited by 34 publications

(11 citation statements)

References 14 publications

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“…Prabhakant and Tiwari (2009) have examined a solar PV system to determine the carbon credits received by it, the result supports the application of solar energy compare to conventional power generation in terms of cost and environmental impacts. The efficiencies of solar photovoltaic plants connected to the grid can be increased by combined effect of soft-computing methods for enhanced solar cell models and control methods has been demonstrated by (Varnham et al 2007). The solar radiation intensities in different regions of India have been shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Optimal Cost of a Solar Photovoltaic System for a Remote House in Bihar

Jha¹

2015

Int. J. Renew. Energy Dev.

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Energy plays a vital role for the growth of a country. Solar energy is the most important renewable energy resources that can play vital role in the replacement of fossil resources to generate clean energy. Due to technological developments in solar power technologies, solar energy can be used for cooling, heating, and daily electricity demand of the world and emerged as viable alternative to produce clean energy in future. The paper describes the technological development of PV model, its present status and future opportunities in the context of Bihar, India. The study was carried out in Bihar, global solar radiation data is required for the calculation and assessment of the working principles of PV system installed at remotely located house to provide adequate power backup. The case study has been based on the solar radiation data available in Bihar, India, the cost of a suitable PV model for a house has been computed based on the analysis of power requirement of a houses in a day.

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Section: Introductionmentioning

confidence: 99%

Optimal Cost of a Solar Photovoltaic System for a Remote House in Bihar

Jha¹

2015

Int. J. Renew. Energy Dev.

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“…Several MPPT techniques, such as open-circuit voltage [1], short-circuit current [2], perturbation and observation (P&O) [3]- [5], hill climbing [6], [7], incremental conductance (INC) [8]- [10], incremental resistance (INR) [11], [12], neural network, and fuzzy logic control [13]- [15], have been proposed in recent years. Among them, P&O, hill climbing, and INC are commonly used for their simplicity and easy implementation.…”

Section: Introductionmentioning

confidence: 99%

Modified Asymmetrical Variable Step Size Incremental Conductance Maximum Power Point Tracking Method for Photovoltaic Systems

Tian¹,

Xia²,

Xu³

et al. 2014

Journal of Power Electronics

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The power-voltage (P-V) characteristic of a photovoltaic (PV) array is nonlinear and time varying with the change in atmospheric conditions. As a result, the maximum power point tracking (MPPT) technique must be applied in PV systems to maximize the generated energy. The incremental conductance (INC) algorithm, one of the MPPT strategies, is widely used for its high tracking accuracy, good adaptability to rapidly changing atmospheric conditions, and easy implementation. This paper presents a modified asymmetrical variable step size INC MPPT method that is based on the asymmetrical feature of the P-V curve. Compared with conventional fixed or variable step size method, the proposed method can effectively improve tracking accuracy and speed. The theoretical foundation and design principle of the proposed approach are validated by the simulation and experimental results.

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“…PI-controlled system is less responsive to real and relatively fast alterations in state and so the system will be slower to reach the set point. Recently intelligent based schemes have been introduced [7][8][9].Among the intelligent based methods fuzzy logic controller has its own merits such that the MPPT algorithm can be easily formed. The shape of the membership function of the fuzzy logic controllers can be adjusted such that the gap between the operation point and maximum power point can be optimized.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy logic controller for the maximum power point tracking in photovoltaic system

Balasubramanian¹,

Singaravelu²

2012

IJCA

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This paper presents afuzzy logic controller for maximum power point tracking (MPPT) in photovoltaic system.An easy and accurate method of modeling photovoltaic arrays is proposed. The model and fuzzy based control strategies are combined to form intelligent controllers that are more accurate and robust.The model based controller is designed such that the reference signal for PWM generator of the converter can be adjusted to achieve maximum power generation from the photo voltaic system. The proposed fuzzy logic controller shows better performances compared to the P&O and PI MPPT based approach.A MATLAB based modeling and simulation scheme along with MPPT and fuzzy logic controller is proposed which are suitable for studying the I-V and P-V characteristics of a PV array under a non-uniform irradiation and different temperature. The model has been experimentally validated.

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Soft-Computing Model-Based Controllers for Increased Photovoltaic Plant Efficiencies

Cited by 34 publications

References 14 publications

Optimal Cost of a Solar Photovoltaic System for a Remote House in Bihar

Optimal Cost of a Solar Photovoltaic System for a Remote House in Bihar

Modified Asymmetrical Variable Step Size Incremental Conductance Maximum Power Point Tracking Method for Photovoltaic Systems

Fuzzy logic controller for the maximum power point tracking in photovoltaic system

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