%0 Journal Article %1 donnyradiantodimasantonasfani2012partial %A Donny Radianto, Dimas Anton Asfani, Takashi Hiyama %A Syafaruddin, %D 2012 %E Das, Dr Vinu V %J ACEEE International Journal on Electrical and Power Engineering %K Photovoltaic TCT mppt %N 2 %P 5 %T Partial Shading Detection and MPPT Controller for Total Cross Tied Photovoltaic using ANFIS %U http://doi.searchdl.org/01.IJEPE.3.2.24 %V 3 %X This paper present Maximum Power Point Tracking (MPPT) controller for solving partial shading problems in photovoltaic (PV) systems. It is well-known that partial shading is often encountered in PV system issue with many consequences. In this research, PV array is connected using TCT (total cross-tied) configuration including sensors to measure voltage and currents. The sensors provide inputs for MPPT controller in order to achieve optimum output power. The Adaptive Neuro Fuzzy Inference System (ANFIS) is utilized in this paper as the controller methods. Then, the output of MPPT controller is the optimum power duty cycle (α) to drive the performance DC-DC converter. The simulation shows that the proposed MPPT controller can provide PV voltage (VMPP) nearly to the maximum power point voltage. The accuracy of our proposed method is measured by performance index defined as Mean Absolute Percentage Error (MAPE). In addition, the main purpose of this work is to present a new method for detecting partial condition of photovoltaic TCT configuration using only 3 sensors. Thus, this method can streamline the time and reduce operating costs.

@article{donnyradiantodimasantonasfani2012partial, abstract = {This paper present Maximum Power Point Tracking (MPPT) controller for solving partial shading problems in photovoltaic (PV) systems. It is well-known that partial shading is often encountered in PV system issue with many consequences. In this research, PV array is connected using TCT (total cross-tied) configuration including sensors to measure voltage and currents. The sensors provide inputs for MPPT controller in order to achieve optimum output power. The Adaptive Neuro Fuzzy Inference System (ANFIS) is utilized in this paper as the controller methods. Then, the output of MPPT controller is the optimum power duty cycle (α) to drive the performance DC-DC converter. The simulation shows that the proposed MPPT controller can provide PV voltage (VMPP) nearly to the maximum power point voltage. The accuracy of our proposed method is measured by performance index defined as Mean Absolute Percentage Error (MAPE). In addition, the main purpose of this work is to present a new method for detecting partial condition of photovoltaic TCT configuration using only 3 sensors. Thus, this method can streamline the time and reduce operating costs.}, added-at = {2023-08-29T22:10:12.000+0200}, author = {{Donny Radianto, Dimas Anton Asfani}, Takashi Hiyama and Syafaruddin}, biburl = {https://www.bibsonomy.org/bibtex/2e02a2bd65e6b4fd563b4474f479dd39f/wailrimouche}, editor = {Das, Dr Vinu V}, interhash = {1db0b5764a108bbd5e45ab053cb60fe9}, intrahash = {e02a2bd65e6b4fd563b4474f479dd39f}, journal = {ACEEE International Journal on Electrical and Power Engineering}, keywords = {Photovoltaic TCT mppt}, month = may, number = 2, pages = 5, timestamp = {2023-08-29T22:10:12.000+0200}, title = {Partial Shading Detection and MPPT Controller for Total Cross Tied Photovoltaic using ANFIS}, url = {http://doi.searchdl.org/01.IJEPE.3.2.24}, volume = 3, year = 2012 }