A New Maximum Power Point Tracking For Photovoltaic Systems (original) (raw)
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Modelling & Simulation of PV System using Different MPPT Techniques
2015
In this paper a new maximum power point tracking algorithm for photovoltaic arrays is proposed. The algorithm detects the maximum power point of the PV. The computed maximum power is used as a reference value (set point) of the control system. ON/OFF power controller with hysteresis band is used to control the operation of a Buck chopper such that the PV module always operates at its maximum power computed from the MPPT algorithm. The major difference between the proposed algorithm and other techniques is that the proposed algorithm is used to control directly the power drawn from the PV. The proposed MPPT has several advantages: simplicity, high convergence speed, and independent on PV array characteristics. The algorithm is tested under various operating conditions. The obtained results have proven that the MPP is tracked even under sudden change of irradiation level.
An improved Technique to Track Maximum Power Point for PV Cell
This paper presents a new approach of tracking the maximum power point for photovoltaic array. The fuzzy logic controller examines the output PV power at each sample time (k), and determines the change in power relative to voltage (dP/dV). The duty cycle of the PWM is varied according to dP/dV to drive the buck converter to operate the PV module at MPP. Fuzzy logic controller leads to an improved time response. The major difference between the proposed algorithm and other techniques is that the proposed algorithm is used to control directly the power drawn from the PV. The proposed MPPT has several advantages: simplicity, high convergence speed, and independent on PV array characteristics. The algorithm is tested under various operating conditions. The obtained results have proven that the MPP is tracked even under sudden change of irradiation level.
Comparative Study of Photovoltaic Array Maximum Power Point Tracking Techniques
2015
This paper provides a comprehensive review of the maximum power point tracking (MPPT) techniques applied to photovoltaic (PV) power system available until March, 2014. A good number of publications report on different MPPT techniques for a PV system together with implementation. But, confusion lies while selecting a MPPT as every technique has its own merits and demerits. Hence, a proper review of these techniques is essential. Since, MPPT is an essential part of a PV system, extensive research has been revealed in recent years in this field and many new techniques have been reported to the list since then. In this paper, a detailed description and then classification of the MPPT techniques have made based on features, such as number of control variables involved, types of control strategies employed, types of circuitry used suitably for PV system, transient responce and practical/ commercial applications. This paper is intended to serve as a convenient reference for future MPPT users in PV systems.
Review of the modern techniques of Maximum Power Point Tracking for the solar photovoltaic systems
The energy generation of a solar photovoltaic (SPV) system is directly dependent on solar radiation intensity and its availability. The energy generation from the PV module is also affected due to climatic parameters such as ambient temperature, humidity, rainfall, wind and dust. To extract the maximum power from PV array Maximum Power Point Tracking (MPPT) technique is applied. At varying operating conditions, MPPT algorithms automatically detect the maximum power and supply to the load. In the present paper ten different MPPT techniques have been identified and analyzed. These different techniques have been well developed in the papers individually. In the present study a comprehensive review of popular MPPT techniques is presented.
A New Maximum Power Point Tracking Algorithm for the Photovoltaic Power System
2019 International Conference on System Science and Engineering (ICSSE), 2019
The use of maximum power point tracking (MPPT) techniques is widely discussed and employed for photovoltaic array in micro-grid systems to optimize the PV output power transferred to the load. There are various types of converter models are employed as MPPT circuits such as buck, boost or buck-boost converters. The MPPT circuit is becoming an intermediate component between the load and the PV panel. In this paper, the MPPT boost converter is selected and a new control algorithm for the MPPT controller, namely new hill climbing method, is introduced. This method is also compared with an existing popular MPPT algorithm (P&O) to confirm its superior performance by using the MATLAB simulation.
A review study of photovoltaic array maximum power tracking algorithms
There are numerous maximum power point tracking (MPPT) algorithms for improving the energy efficiency of solar photovoltaic (PV) systems. The main differences between these algorithms are digital or analog implementation, simplicity of the design, sensor requirements, convergence speed, range of effectiveness, as well as hardware costs. Therefore, choosing the right algorithm is very important to the users, because it affects the electrical efficiency of PV system and reduces the costs by decreasing the number of solar panels needed to get the desired power. This paper provides the comparison of 62 different techniques used in tracking the maximum power based on literature survey. This paper is intended to be a reference for PV systems users.
Photovoltaic array maximum power point tracking via modified perturbation and observation algorithm
International Journal of Power Electronics and Drive System (IJPEDS), 2020
One drawback of PVs is their low efficiency. As the PVs have a unique maximum Power Point for a specified irradiation level, there must be an effective method for extracting maximum power from the PV module to raise the efficiency. Conventional Perturbation and Observation (P&O) is a simple algorithm for maximum power point tracking (MPPT) but it suffers from oscillation during steady state conditions and is deviated from the maximum power point during slow and rapid irradiation level change. This paper presents a modified P&O by adding variation in PV current as a third in addition to the voltage and power variation parameters. This new algorithm is capable of eliminating the MPPT deviation. To increase the perturbation speed, a double step is taken as the tracking is deviated from the MPP. The modified P&O algorithm is used to control the duty cycle of DC-DC buck converter. The simulation shows that the modified P&O is faster than the conventional. The power loss due to oscillation before attaining the steady state is less for modified P&O. For slow irradiation level change (ramp up 600 to 1000 and ramp down 1000-800) W/m2, the modified P&O shows less tracking diverge. As the irradiation level changes rapidly from 800 to 200 W/m2, it's shown that the modified algorithm attains the steady state faster than the conventional P&O and the average efficiency increased by 4.34%.
STUDY OF MAXIMUM POWER POINT TRACKING(MPPT) IN SOLAR PV ARRAY SYSTEM
The problem being solved using maximum power point tracking MPPT techniques is to find the voltage VMPP or current IMPP at which a photovoltaic module should operate to obtain the maximum power output PMAX under a given temperature and illumination (solar irradiation). This paper gives an overview about some used techniques for power point tracking. The results which will be presented will also demonstrate the influence of temperature and solar irradiation (illumination) on the output power.
A Review of Maximum Power Point Tracking Techniques for Photovoltaic System
The consumption of electrical energy is increasing and due to limited supply of fossil fuel, the only option left is the renewable energy (RE). In last few years there has been an increase in attention towards the use of solar energy. The power-voltage characteristic of photovoltaic cell is non-linear. To get the maximum output power from photovoltaic system, the maximum power point (MPP) must be continuously tracked. The maximum power point tracking (MPPT) algorithms enhance the efficiency of PV system. The Maximum Power Point (MPP) of a photovoltaic system varies with irradiance, temperature and load connected to the (PV) system. In literature we have found large no. of MPPT algorithms categorized on the basis of complexity, cost, number of sensor required. This paper comprehends the most commonly implemented algorithms such as P&O, Incremental Conductance, Ripple Correlation Control, Current sweep and also some intelligent control algorithm such as ANN & Fuzzy logic. The MPPT algorithms are defined and compared in a tabular form.
International journal of engineering research and technology, 2018
With the increasing in the energy demand conservation and utilization of energy are very essential. Hence Solar charge controller helps in increasing the efficiency of the solar power transferred to the battery. Photovoltaic modules show nonlinear output characteristics because of different system losses. Maximum power point tracking (MPPT) is an intelligent technique for reducing these losses by driving the system at its maximum operating point. DC/DC converter is an essential part of a MPPT controlled photovoltaic (PV) system which functions as an interface between PV system and the load. These Converters are mostly Dc Choppers which converts fixed Dc voltage to a variable Dc source. These Regulators are used in case of Solar Charge Controllers to increase or decrease the PV panel voltage to as that required by Battery. The DC voltage from the PV panel varies with the light intensity which depends on time of day and temperature. Similarly, on the Battery side the voltage varies depending on the load connections. Thus, for optimal charging of battery it is important that the voltage of the PV panel and the current matches the battery charging state at any instant. There are various types of Dc-Dc Converter of which Buck Boost Converter is taken into consideration. In this project work we propose an efficient photovoltaic system which will be designed, developed and the results will be validated in real time.