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https://ptsldigital.ukm.my/jspui/handle/123456789/487081Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Azah Mohamed, Prof. Dr. | - |
| dc.contributor.author | Subiyanto (P42469) | - |
| dc.date.accessioned | 2023-10-11T02:28:33Z | - |
| dc.date.available | 2023-10-11T02:28:33Z | - |
| dc.date.issued | 2012-05-14 | - |
| dc.identifier.other | ukmvital:122292 | - |
| dc.identifier.uri | https://ptsldigital.ukm.my/jspui/handle/123456789/487081 | - |
| dc.description | Due to the growing demand for electrical energy and environmental impact such as global warming and pollution, photovoltaic (PV) energy generation system has been considered as a technological option for generating clean energy. The advantage of PV system is that it is pollution free, but it still has relatively low conversion efficiency from solar irradiation to electric power. Power delivered by the PV system depends on several environmental factors such as lighting conditions, temperature and shading. The nonlinear characteristic of PV array, the fluctuating output power which varies with temperature and irradiation and losses in power conditioner devices are among the drawbacks of PV systems. An important consideration in increasing the efficiency of PV systems is to operate the system approximate to the maximum power point (MPP). To achieve maximum energy produced by a PV array, a high performance boost converter and an intelligent maximum power point tracking (MPPT) controller for PV system have been developed. The proposed boost converter implements a new soft switching teclmique by integrating passive and active regenerative snubber circuits to reduce the IGBT switching losses and increase the voltage gain. The high gain boost converter is useful for use in a transformer-less three phase PV inverter which needs 700-900 V DC supply input to give 415 V AC output. As for the intelligent:MPPT controller, a new :MPPT algorithm is proposed in which fuzzy logic is integrated with the Hopfield neural network (HNN) to optimize the membership function of the fuzzy system. HNN is utilized to automatically tune the fuzzy logic membership functions based on convergence of the decreasing energy function. A simulation model of the boost converter has been verified using the OrCAD PSpice software whereas the MPPT controller is modelled in the :MATLAB Simulink program. The prototype of the :MPPT controller has been developed using the DS 1104 board controller with the DSPACE software and tested using the Agilent Solar Array Simulator and 3 kW PV panel. The performance of the boost converter and the fuzzy-HNN based :MPPT controller is then evaluated through simulation and experiment. Experimental test results showed that the proposed boost converter produces stable step-up DC output voltages and gives better efficiency (90.05%) compared to the efficiency of the conventional boost converter with R-C-D snubber (81.74%). The results of the HNN fuzzy logic controller (HFLC) based :MPPT controller are more accurate in finding the global :MPP of a PV array compared to the other conventional :MPPT methods, even under partial shading condition. In terms of the time response for tracking the :MPP of the PV panel, the proposed HFLC based :MPPT method is 3.7 times faster than the perturbation and observation method and 1.5 times faster than the fuzzy logic controller based:MPPT method. Experimental test results showed that the prototype :MPPT controller is capable of tracking power from the 3 kW PV array about 2.05 times more than without using the :MPPT controller. A simulation of the 3 kW grid connected PV system has been conducted to illustrate the performance of the :MPPT controller in grid connected system operation.,Ph.D.,Certification of Master's / Doctoral Thesis" is not available | - |
| dc.language.iso | eng | - |
| dc.publisher | UKM, Bangi | - |
| dc.relation | Faculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina | - |
| dc.rights | UKM | - |
| dc.subject | Photovoltaic power systems | - |
| dc.subject | Solar power plants | - |
| dc.subject | Universiti Kebangsaan Malaysia -- Dissertations | - |
| dc.subject | Dissertations, Academic -- Malaysia | - |
| dc.title | Intelligent maximum power point tracking controller and high performance boost converter for photovoltaic system | - |
| dc.type | Theses | - |
| dc.format.pages | 195 | - |
| dc.identifier.callno | TK1087.S835 2012 3 tesis | - |
| dc.identifier.barcode | 005593(2021)(PL2) | - |
| Appears in Collections: | Faculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ukmvital_122292+SOURCE1+SOURCE1.0.PDF Restricted Access | 21.83 MB | Adobe PDF |  View/Open |
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