Effect of response time and starting point of duty cycle in maximum power point tracking operation of solar panel using PO algorithm

Author(s):  
Ratul Das ◽  
K. M. Rahman
Author(s):  
Abdullah Assegaf ◽  
Dedi Aming ◽  
Febri Alvianto

Efisiensi konversi energi yang rendah menjadi masalah utama padaupembangkit listrikutenagausurya (PLTS). Makalah ini membahas tentang implementasi metode maximum power point tracking (MPPT) dengan algoritma incremental conductance (IC) pada sistem panel surya dengan kapasitas 100 Wattpeak (Wp) yang bertujuan untuk mendapatkan daya keluaran yang paling optimal dari panel surya. Sistem dibangun dengan menggunakan konverter DC/DC buck-boost dan mikrokontroler sebagai pengolah algoritma MPPT serta pusat kendali sistem. Mikrokontroler akan mengontrol duty cycle dari konverter buck-boost dan memastikan bahwa panel surya selalu beroperasi pada kondisi titik daya maksimum dengan menggunakan algoritma IC. Hasil pengujian menunjukkan bahwa penggunaan metode MPPT dengan algoritma IC pada sistem panel surya 100 Wp dapat memaksimalkan daya keluaran dari panel surya sebesar 56%-94% dibandingkan dengan penggunaan panel surya secara langsung tanpa menggunakan MPPT.


Solar photovoltaic (PV) systems are gaining importance increasingly as it directly converts solar radiation into electrical energy which is renewable and environment friendly. Where it has a numerous advantage, some disadvantages are also there like its dependency on environmental conditions. The power developed by solar panel decreases if it does not get uniform radiation. Sometimes due to nearby buildings, passing clouds etc. PV module might be partially shaded because of which power output of solar panel may get decrease this is called partial shading conditions. It causes significant reduction in the system power output. To overcome this, maximum power point-tracking under partial shading condition by continuous duty cycle variation schemes have been proposed, in which dc–dc boost converters are connected to PV module to enable maximum power extraction. In this paper a new method of Duty Sweep Maximum Power Point Tracking (DSMPPT) has been implanted, which is capable of tracking the Global Maximum Power Point (GMPP) in the presence of other local maxima. The proposed scheme tracks Maximum Power Point (MPP) by continuous variation of converter’s duty cycle without the use of costly components such as signal converters and microprocessors thereby increasing the compactness of the system.


Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4326
Author(s):  
Nguyen Van Tan ◽  
Nguyen Binh Nam ◽  
Nguyen Huu Hieu ◽  
Le Kim Hung ◽  
Minh Quan Duong ◽  
...  

In microgrids, distributed generators that cannot be dispatched, such as a photovoltaic system, need to control their output power at the maximum power point. The fluctuation of their output power should be minimized with the support of the maximum power point tracking algorithm under the variation of ambient conditions. In this paper, a new maximum power point tracking method based on the parameters of power deviation (ΔPPV), voltage difference (ΔVPV), and duty cycle change (ΔD) is proposed for photovoltaic systems. The presented algorithm achieves the following good results: (i) when the solar radiance is fixed, the output power is stable around the maximum power point; (ii) when the solar radiance is rapidly changing, the generated power is always in the vicinity of maximum power points; (iii) the effectiveness of energy conversion is comparable to that of intelligent algorithms. The proposed algorithm is presented and compared with traditional and intelligent maximum power point tracking algorithms on the simulation model by MATLAB/Simulink under different radiation scenarios to prove the effectiveness of the proposed method.


2010 ◽  
Vol 2010 ◽  
pp. 1-13 ◽  
Author(s):  
Mohsen Taherbaneh ◽  
A. H. Rezaie ◽  
H. Ghafoorifard ◽  
K. Rahimi ◽  
M. B. Menhaj

In applications with low-energy conversion efficiency, maximizing the output power improves the efficiency. The maximum output power of a solar panel depends on the environmental conditions and load profile. In this paper, a method based on simultaneous use of two fuzzy controllers is developed in order to maximize the generated output power of a solar panel in a photovoltaic system: fuzzy-based sun tracking and maximum power point tracking. The sun tracking is performed by changing the solar panel orientation in horizontal and vertical directions by two DC motors properly designed. A DC-DC converter is employed to track the solar panel maximum power point. In addition, the proposed system has the capability of the extraction of solar panelI-Vcurves. Experimental results present that the proposed fuzzy techniques result in increasing of power delivery from the solar panel, causing a reduction in size, weight, and cost of solar panels in photovoltaic systems.


2021 ◽  
Author(s):  
Mohamed Mosaad ◽  
Fahd Banakhr

Abstract Solar photovoltaic (PV) energy has met great attention in the electrical power generation field for its many advantages in both on and off-grid applications. The requirement for higher proficiency from the PV system to reap the energy requires maximum power point tracking techniques (MPPT). This paper presents an adaptive MPPT of a stand-alone PV system using an updated PI controller optimized by harmony search (HS). A lockup table is formed for the temperature and irradiance with the corresponding voltage at MPP (VMPP). This voltage is considered as the updated reference voltage required for MPP at each temperature and irradiance. The difference between this updated reference voltage at MPP and the variable PV voltage due to changing the environmental conditions is used to stimulate PI controller optimized by HS to update the duty cycle (D) of the DC-DC converter. Another lockup table is formed with the temperature, irradiance and the corresponding duty cycle at MPP to convert this MPP technique into an adaptive one. An experimental implementation of the proposed adaptive MPPT is introduced to test the validity of the simulation results obtained at different irradiance and temperature levels.


2019 ◽  
Vol 3 (2) ◽  
pp. 83
Author(s):  
Totok Dewantoro ◽  
Gezaq Abror ◽  
Gilang Eka Vigo Astafir Akbar

Pada penelitian ini akan dirancang sebuah solar electric sprayer (SES) yang hemat energi. Rancangan ini terdiri dari solar panel (PV), rangkaian maximum power point tracking (MPPT), dan sebuah konverter. Untuk memaksimalkan power dari solar panel, rancangan ini dilengkapi dengan MPPT yang mampubekerja pada kondisi terbayang-bayang sebagian (partial shaded) apabila tempat yang digunakan tidak memungkinkan untuk memperoleh radiasi matahari yang sempurna. Algoritma yang digunakan pada pembuatan MPPT ini menggunakan fuzzy expert system (FES). Dari hasil pengujian didapatkan daya optimal PV hanya sekitar 75% dengan effisiensi konverter 80% hingga 89% tanpa terjadi saturasi, namun terdapat penurunan effisiensi sekitar 42% apabila dutycycle dibawah 40%. Dengan demikian prototype mesin semprot listrik bertenaga surya sebagai pengganti mesin semprot manual yang sudah tersedia dapat diterapkan. 


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