Fuzzy Logic Based Artificial Intelligence Photovoltaic Power Converter System Design

Erhan Özkan

Article Details

Fuzzy Logic Based Artificial Intelligence Photovoltaic Power Converter System Design

Authors:

Erhan Özkan

Publisher:

Giresun University

Main Topics:

Mühendislik

Journal:

Karadeniz Fen Bilimleri Dergisi Vol.13 Issue 2, pp.456-482

Document Type:

Article

Publication Date:

6/2023

Document Language:

Turkish

Document ID (Org No.):

2001291000

pISSN:

2564-7377

Keywords:

Abstract:

 In this article, studies on providing a system that would evaluate the solar energy potential and reduce energy costs were explained with completely domestic and national resources. The study consists of two stages. In the first stage, the design of the power converter hardware using solar energy, and in the second stage, studies on fuzzy logic-based artificial intelligence software that evaluates the data of this converter system, compares the energy cost according to the usage rate and stores energy with minimum costs were mentioned. The optimization algorithm was developed in Matlab environment. Gekko optimization was used in the application phase. Designed power converter system, that records the consumers photovoltaic PV production and consumption information in a database and can predict the consumers future PV production and consumption profile regarding to the daysmonthsseasons according to the recorded information. It has been realized that this system, designed in harmony with smart grids, communicates with the grid and transmits its forecasts to the grid, and helps to minimize the difference between energy demand and energy production. On the other hand, the system has been developed in such a way that it can store energy and transfer power when deemed necessary, and that it can feed critical loads for the consumer from the stored energy in case of a possible network interruption, working as an uninterruptible power supply.

 In this article, studies on providing a system that would evaluate the solar energy potential and reduce energy costs were explained with completely domestic and national resources. The study consists of two stages. In the first stage, the design of the power converter hardware using solar energy, and in the second stage, studies on fuzzy logic-based artificial intelligence software that evaluates the data of this converter system, compares the energy cost according to the usage rate and stores energy with minimum costs were mentioned. The optimization algorithm was developed in Matlab environment. Gekko optimization was used in the application phase. Designed power converter system, that records the consumers photovoltaic PV production and consumption information in a database and can predict the consumers future PV production and consumption profile regarding to the daysmonthsseasons according to the recorded information. It has been realized that this system, designed in harmony with smart grids, communicates with the grid and transmits its forecasts to the grid, and helps to minimize the difference between energy demand and energy production. On the other hand, the system has been developed in such a way that it can store energy and transfer power when deemed necessary, and that it can feed critical loads for the consumer from the stored energy in case of a possible network interruption, working as an uninterruptible power supply.

 In this article, studies on providing a system that would evaluate the solar energy potential and reduce energy costs were explained with completely domestic and national resources. The study consists of two stages. In the first stage, the design of the power converter hardware using solar energy, and in the second stage, studies on fuzzy logic-based artificial intelligence software that evaluates the data of this converter system, compares the energy cost according to the usage rate and stores energy with minimum costs were mentioned. The optimization algorithm was developed in Matlab environment. Gekko optimization was used in the application phase. Designed power converter system, that records the consumers photovoltaic PV production and consumption information in a database and can predict the consumers future PV production and consumption profile regarding to the daysmonthsseasons according to the recorded information. It has been realized that this system, designed in harmony with smart grids, communicates with the grid and transmits its forecasts to the grid, and helps to minimize the difference between energy demand and energy production. On the other hand, the system has been developed in such a way that it can store energy and transfer power when deemed necessary, and that it can feed critical loads for the consumer from the stored energy in case of a possible network interruption, working as an uninterruptible power supply.

 Bu makalede güneş enerjisi potansiyelini değerlendirecek ve enerji maliyetlerini düşürecek bir sistemin tamamen yerli ve milli olanaklar ile sağlanmasına ilişkin çalışmalar anlatılmıştır. Çalışma iki aşamadan oluşmaktadır. Birinci aşamada güneş enerjisini kullanan güç dönüştürücü donanımının tasarımı, ikinci aşamada ise bu dönüştürücü sistemin verilerini değerlendirip, enerji maliyetinin kullanım oranına göre mukayesesini yapan ve minimum maliyetler ile enerji depolayan bulanık mantık tabanlı yapay zekâ yazılımlarına ait çalışmalar yer almaktadır. En iyileme algoritması Matlab ortamında geliştirilmiştir. Uygulama aşamasında Gekko optimizasyonundan faydalanılmıştır. Tasarlanan güç dönüştürücü sistemi; tüketicinin fotovoltaik PV üretim ve tüketim bilgilerini bir veri tabanına kaydeden, kaydedilen bilgilere göre tüketicinin gelecekteki PV üretim ve tüketim profilini günlereaylaramevsimlere göre tahmin edebilmektedir. Akıllı şebekelere uyumlu olarak tasarlanan bu sistemin şebekeyle haberleşerek yaptığı tahminleri şebekeye iletmesi ve enerji talebiyle enerji üretiminin arasındaki farkın en aza indirilmesine yardımcı olması gerçekleştirilmiştir. Diğer taraftan sistem; enerji depolayarak gerekli görülen durumlarda güç öteleyebilecek, olası bir şebeke kesintisinde tüketici için kritik yükleri kesintisiz güç kaynağı gibi çalışarak depolanan enerjiden besleyebilecek şekilde geliştirilmiştir.

Article Details

Fuzzy Logic Based Artificial Intelligence Photovoltaic Power Converter System Design

Authors:

Erhan Özkan

Publisher:

Giresun University

Main Topics:

Mühendislik

Journal:

Karadeniz Fen Bilimleri Dergisi Vol.13 Issue 2, pp.456-482

Document Type:

Article

Publication Date:

6/2023

Document Language:

Turkish

Document ID (Org No.):

2001291000

pISSN:

2564-7377

Photovoltaic Systems

Fuzzy Logic

Energy Saving

Domestic DesignFotovoltaik Sistemler

Bulanık Mantık

Enerji Tasarrufu

Yerli Tasarım

Issues

Article Details

Authors: Erhan Özkan

Publisher: Giresun University

Main Topics: Mühendislik

Journal: Karadeniz Fen Bilimleri Dergisi Vol.13 Issue 2, pp.456-482

Document Type: Article

Publication Date: 6/2023

Document Language: Turkish

Document ID (Org No.): 2001291000

pISSN: 2564-7377

Issues

Authors:

Erhan Özkan

Publisher:

Giresun University

Main Topics:

Mühendislik

Journal:

Karadeniz Fen Bilimleri Dergisi Vol.13 Issue 2, pp.456-482

Document Type:

Article

Publication Date:

6/2023

Document Language:

Turkish

Document ID (Org No.):

2001291000

pISSN:

2564-7377