Do you want to publish a course? Click here

Maximum Power Point Tracking Using Fuzzy Logic Control

ملاحقة نقطة الاستطاعة العظمى باستخدام المنطق العائم

2925   4   149   0 ( 0 )
 Publication date 2014
and research's language is العربية
 Created by Shamra Editor




Ask ChatGPT about the research

Fuzzy logic control is used to connect a photovoltaic system to the electrical grid by using three phase fully controlled converter (inverter), This controller is going to track the maximum power point and inject the maximum available power from the PV system to the grid by determining the trigger angle that must be applied on the switches: Linguistic variables are going to be chosen to determine the amount of change in the trigger angle of the inverter to track the maximum power.


Artificial intelligence review:
Research summary
تتناول الورقة البحثية موضوع ملاحقة نقطة الاستطاعة العظمى (MPPT) باستخدام المنطق العائم في الأنظمة الكهروضوئية المتصلة بالشبكة الكهربائية عبر مبدل ثلاثي الطور. يهدف البحث إلى تحسين كفاءة تحويل الطاقة الشمسية إلى طاقة كهربائية عن طريق تحديد زاوية القدح المثلى للعاكسات. يتم استخدام المتحكم ذو المنطق العائم لتحديد مقدار التغيير في زاوية القدح للمبدل لملاحقة الاستطاعة العظمى. تم نمذجة النظام باستخدام برنامج MATLAB، وتم التحقق من فعالية النظام في تحقيق أكبر استطاعة ممكنة. يتناول البحث أيضاً كيفية تطبيق المنطق العائم في عمليات التحكم والنمذجة والتقييم، ويستعرض أمثلة تطبيقية ونتائج تجريبية تؤكد فعالية النظام المقترح في تحسين كفاءة الأنظمة الكهروضوئية.
Critical review
دراسة نقدية: تعتبر الورقة البحثية ذات أهمية كبيرة في مجال تحسين كفاءة الأنظمة الكهروضوئية باستخدام تقنيات الذكاء الاصطناعي مثل المنطق العائم. ومع ذلك، يمكن توجيه بعض الانتقادات البناءة لتحسين البحث. أولاً، لم يتم التطرق بشكل كافٍ إلى تأثير العوامل البيئية المختلفة مثل التغيرات الجوية على أداء النظام. ثانياً، يمكن أن تكون هناك حاجة لمزيد من التجارب العملية للتحقق من النتائج النظرية المقدمة. ثالثاً، لم يتم مناقشة تكاليف التنفيذ والتحديات العملية التي قد تواجه تطبيق النظام في الحياة الواقعية. على الرغم من هذه النقاط، فإن البحث يقدم مساهمة قيمة في مجال تحسين كفاءة الأنظمة الكهروضوئية.
Questions related to the research
  1. ما هو الهدف الرئيسي من استخدام المنطق العائم في الأنظمة الكهروضوئية المتصلة بالشبكة الكهربائية؟

    الهدف الرئيسي هو تحسين كفاءة تحويل الطاقة الشمسية إلى طاقة كهربائية عن طريق تحديد زاوية القدح المثلى للعاكسات لتحقيق أكبر استطاعة ممكنة.

  2. كيف يتم تحديد مقدار التغيير في زاوية القدح للمبدل لملاحقة الاستطاعة العظمى؟

    يتم تحديد مقدار التغيير في زاوية القدح باستخدام المتحكم ذو المنطق العائم الذي يعتمد على تحديد المتحولات اللغوية المناسبة.

  3. ما هي الأدوات البرمجية المستخدمة في نمذجة النظام والتحقق من فعاليته؟

    تم استخدام برنامج MATLAB لنمذجة النظام والتحقق من فعاليته في تحقيق أكبر استطاعة ممكنة.

  4. ما هي بعض التحديات التي يمكن أن تواجه تطبيق النظام المقترح في الحياة الواقعية؟

    بعض التحديات تشمل تأثير العوامل البيئية المختلفة مثل التغيرات الجوية، تكاليف التنفيذ، والتحديات العملية في تطبيق النظام بشكل فعلي.


References used
All about Maximum Power Point Tracking MPPT. Retrieved June 1, 2013 from http://www.star-electric.com/mppt-solarcharger- controller.html
Bose, B. K. (2002). Modern Power Electronics and Ac Drives. USA: Prentice Hall PRH
Goland Century. Mppt-10 Model User's Manual. Technical Data Sheet
Gounden, N. A, Peter, S. A, Nallandula, H, & Krithiga, S. (2008, 11, July). Fuzzy logic controller with MPPT using linecommutated inverter for three-phase gridconnected photovoltaic systems. Renewable Energy Journal. 34, 909-915
Ibrahim, H. E, & Ibrahim, M. (2012) Comparison Between Fuzzy and P&O Control for MPPT for Photovoltaic System Using Boost Converter. Journal of Energy Technologies and Policy, vol.2 No.6
rate research

Read More

In the following study we make a simulation of an independent photovoltaic system connected to an (ohm - unit of electrical resistance) load which consists of the following parts: (Photovoltaic Module - Converter dc- dc - Control system to track ing the maximum power point via MATLAB & Simulink program) Taking advantage of equations of Photovoltaic Module we chart the graph and simulate curves of the Module. We also simulate the converter –type Cuk- which gives higher or lower voltage than input voltage but with reversed polarity. We also make a comparison between the two systems tracking: the first tracker is a traditional one and the second one is a system in which it uses a fuzzy logic tracker. The results of the comparison shows different capacities taking into consideration the varieties of weather conditions of regular solar radiation as well as the partial shadow. Such results showed that fuzzy logic has got more capability to harmonize with all conditions especially in cases of low solar radiation and partial shadow.
This paper deals with the analysis and study of performance of solar panels, so we choose working on the solar panel (module) MSX-50, in addition to improve his power by tracking the maximum power point, this is done by using boost (step up) choppe r to obtain the largest possible capacity of solar panel. We will determine a mathematical model equivalent to the real solar panel (not ideal) through studying photovoltaic cells, where we will use the iterative method in addition to the Newton-Raphson algorithm in order to determine the value serial resistance of module Rs parallel resistance of module Rp. As has been the implementation of perturbation and observation p&o algorithm in addition studying and designing the circuit of step up (boost) chopper, and selection the components (coil L, capacitor C), based on both the operation frequency f, ripple factor of output voltage and output current . Based on the our study, we have performed a modeling process of the solar module MSX-50 using MATLAB/SIMULINK program, where we designed a graphical user interface GUI to display the module characteristics and calculate resistance Rp and Rs, in addition to build an algorithm p&o and design circuit of boost (step up) chopper. The proposed model has been applied to the ohmic load according to the principle of the maximum power point tracking MPPT, and discuss the results of two cases wich are the following the solar module is connected directly to load, connected through chopper driven by p&o algorithm.
Photovoltaic systems (PVs)offer an environmentally friendlysource of electricity; however, up till now its price is still relatively high.Achieving the maximum power of these systemsand maintaining it with lowest price in real applications is highl y associated with Maximum Power Point Tracking (MPPT) under different operation conditions. This paper proposes the use of Genetic Algorithm (GA) for tracking maximum power point depending on the solar cell model. GA gives, directly and precisely, the optimal operating voltage (VOP) of the cell where the DC/DC converter will be adjusted according to it based on the previous knowledge of the open circuit voltage (VOC) and short circuit current (ISC) of the cell. To validate the correctness and effectiveness of the proposed algorithm, MATLAB R2010a programs for GA and PV system are written and incorporated together where the series resistant of the cell is considered while the shunt resistant is neglected. Simulation results of applying GA on different types of solar panels showedthe possibilityof the accurateadjusting of the voltagetothe optimum valueand thusoperating the systemat maximum power point.
Search is based on the first stage DC/DC in the solar photovoltaic system, where it was appropriate to use Ripple Correlation Control method for tracking the maximum power point of photovoltaic arrays. The technique takes advantage of the signal ri pple, which is automatically present in power converters, where the ripple is interpreted as a perturbation from which a gradient ascent optimization can be realized. The Basic feature of Ripple Correlation Control technique converges asymptotically at maximum speed to the maximum power point, and has simple circuit implementations. And will validate the results in practice.
This research deals with improving the efficiency of solar photovoltaic (PV) power systems using a Maximum Power Point Tracker controller (MPPT controller), based in his work on the Maximum Power Point Tracking techniques via the direct control met hod. Which used to control the duty cycle of DC-DC Voltage Converter, to achieve the photovoltaic system works at a Maximum Power Point under different atmospheric changes of the solar insolation and ambient temperature. In this context, our work is focused on the simulation of the components of the power generating system, such as the photovoltaic system, DC-DC Boost Converter and a MPPT controller in Matlab/Simulink environment. The simulating of the MPPT controller was based on several algorithms such as: Constant Voltage algorithm, Perturb and Observe algorithm and Incremental Conductance algorithm by using Embedded MATLAB function. The simulation results showed the effectiveness of the MPPT controller to increase the photovoltaic system power compared with non-use of a MPPT controller. The results also showed the best performance of MPPT controller based on Perturb and Observe and Incremental Conductance algorithm, compared with constant voltage algorithm in tracking the Maximum Power Point under atmospheric changes.
comments
Fetching comments Fetching comments
Sign in to be able to follow your search criteria
mircosoft-partner

هل ترغب بارسال اشعارات عن اخر التحديثات في شمرا-اكاديميا