Results 91 to 100 of about 1,009 (175)

Multi-Peak Photovoltaic Maximum Power Point Tracking Method Based on Honey Badger Algorithm Under Localized Shading Conditions

Energies
The P-V and I-V curves of photovoltaic (PV) strings show multiple peaks when exposed to partial shading conditions (PSCs). The traditional maximum power point tracking (MPPT) method cannot track the global maximum power point (GMPP) due to the multi-peak
Qianjin Gui, Lei Wang, Chao Ding, Wenfa Xu, Xiaoyang Li, Feilong Yu, Haisen Wang   +6 more
doaj   +1 more source

Transfer Learning Fractional-Order Recurrent Neural Network for MPPT Under Weak PV Generation Conditions

Fractal and Fractional
Photovoltaic generation systems (PVGSs) face significant efficiency challenges under partial shading conditions and rapidly changing irradiance due to the limitations of conventional maximum power point tracking (MPPT) methods.
Umair Hussan, Mudasser Hassan, Umar Farooq, Huaizhi Wang, Muhammad Ahsan Ayub   +4 more
doaj   +1 more source

Commensurate Evaluation of Support Vector Machine and Recurrent Neural Network MPPT Algorithm for a PV system under different weather conditions [PDF]

, 2020
:The expeditious broadening of Photovoltaic (PV) energy has attracted the private and government precinct world-wide due to the reduction of costs and being cleaner source of energy. However, most of the maximum power point tracking (MPPT) controller are
Ahmed, Ali, Hasan, Ali N., Nkambule, Mpho Sam   +2 more
core   +1 more source

Performance Analysis of Maximum Power Point Tracking Algorithms Under Varying Irradiation [PDF]

, 2017
Photovoltaic (PV) system is one of the reliable alternative sources of energy and its contribution in energy sector is growing rapidly. The performance of PV system depends upon the solar insolation, which will be varying throughout the day, season and ...
Chatterjee, K. (Kalyan), Chatterjee, T. K. (Tarun), Naick, B. K. (Bhukya)   +2 more
core  

Global Maximum Power Point Tracking Under Partial Shading Condition Using SEPIC Converter [PDF]

, 2020
: The performance of a photovoltaic (PV) array is affected by temperature, solar insolation, shading and array configuration. The PV system exhibits a non-linear I-V characteristic and its unique maximum power point on the P-V curve varies with ...
B Paranthagan, M Karthiga, M Marimuthu
core  

Aquaculture and Marine Protected Areas: Exploring Potential Opportunities and Synergies [PDF]

, 2017
This new publication, aims at exploring potential opportunities and synergies between aquaculture and conservation. Acknowledging that both aquaculture and MPA may benefit from each other in striving for global sustainable development, here are some of ...
Dan Laffoley, François Simard, Raphaëla le Gouvello   +2 more
core  

Analyzing grid connected shaded photovoltaic systems with steady state stability and crow search MPPT control [PDF]

The field of research in maximum power point tracking (MPPT) methods is making significant progress with a wide range of techniques, from simple yet inefficient approaches to more complex but effective ones. Therefore, it is important to suggest a simple
Azar, Ahmad Taher, Ben Smida, Mouna, Hameed, Ibrahim A., Sakly, Anis   +3 more
core   +1 more source

Modified Beta Algorithm for GMPPT and Partial Shading Detection in Photovoltaic Systems [PDF]

, 2018
Hu, Yihua, Jiang, Lin, Li, Xingshuo, Wen, Huiqing, Xiao, Weidong   +4 more
core   +1 more source

Optimizing photovoltaic systems performance under partial shading using an advanced cuckoo search algorithm [PDF]

Partial shading negatively impacts power output in photovoltaic systems (PVs), causing multiple local maximum power points (LMPP) instead of a single global maximum power point (GMPP).
Benlafkih, Abdessamad, El Harfaoui, Nadia, El Idrissi, Mohamed Chafik, El Moujahid, Yassine, Hadjoudja, Abdelkader, Said, El-Bot   +5 more
core   +2 more sources

Global Maximum Power Point Tracking of Photovoltaic Systems Using Artificial Intelligence

Energies
Recently, artificial intelligence (AI) has become a promising solution to the optimization of the energy harvesting and performance of photovoltaic (PV) systems.
Rukhsar, Aidha Muhammad Ajmal, Yongheng Yang   +2 more
doaj   +1 more source