{ "article_id": 1025, "public_id": "1272f442-7dce-456e-88d5-edafcc55a1a6", "internal_identifier": null, "source_identifier": "42:30", "status": "published", "type": "research_article", "title": "Fotovoltaik Sistemler için Bozkurt Optimizasyonu Tabanlı MPPT Yöntemi Tasarımı", "title_secondary": null, "abstract": "Fotovoltaik (FV) sistemler birkaç W’dan, MW’a kadar ölçeklendirilebilmesi gibi özelliklerinden dolayı en çok yaygınlaşan yenilenebilir enerji kaynağı türüdür. Bu enerji kaynağından en yüksek oranda yararlanılabilmesi maksimum güç noktasını izleyen (MPPT) dönüştürücülerin performansına bağlıdır. Bu çalışmada, FV panellerin en yüksek güç noktasında çalışmasını sağlamaya yönelik olarak Bozkurt optimizasyonu (GWO) tabanlı yeni bir maksimum güç noktası takip yöntemi geliştirilmiştir. Geliştirilen maksimum güç noktası takip yöntemi yükselten bir dönüştürücüye uygulanmıştır. FV panel akım ve gerilim değerleri anlık olarak okunarak Bozkurt optimizasyonu yöntemiyle en yüksek güç noktasının takip edilebilmesi için yükselten dönüştürücünün anahtarlama sinyali kontrol edilmiştir. Önerilen sistemin performansı MATLAB/Simulink’de yapılan benzetim çalışmaları ile test edilmiştir. Gerçekleştirilen benzetim çalışmalarından elde edilen sonuçlar önerilen GWO tabanlı maksimum güç noktası takip yönteminin yüksek takip hızına sahip olduğuna ve buna karşın, maksimum güç noktası etrafında osilasyon yapmadan kararlı bir şekilde çalışabildiğini göstermiştir.", "language": "tr", "english_title": "Design of MPPT Method Based on Grey Wolf Optmization for Photovoltaic Systems", "english_abstract": "Photovoltaic systems are the most common type of renewable energy source due to their features such as ability to be scaled from several W to MWs. The highest utilization of this energy source depends on the performance of the maximum power point tracking (MPPT) converters. In this study, a new MPPT method based on grey wolf optimization (GWO) has been developed to ensure that PV panels operate at the maximum power point. The proposed MPPT method has been applied to a boost converter. The current and voltage values of the PV panel have been read continuously, and the switching signal of the boost converter is controled through the proposed GWO based algorithm. The performance of the proposed system has been tested with MATLAB/Simulink simulations. The results obtained from the performed simulation studies show that the proposed GWO-based MPPT method has a high tracking speed, and can operate stably around the maximum power point without any oscillation.", "doi": null, "doi_url": null, "resource_url": "https://www.set-science.com/a/1272f442-7dce-456e-88d5-edafcc55a1a6", "pdf_url": "https://www.set-science.com/a/1272f442-7dce-456e-88d5-edafcc55a1a6/pdf", "og_image": "https://www.set-science.com/assets/img/og-card-v2.png", "authors": [ { "public_id": "113d2797-4d6b-4526-9cca-527dec799a83", "given": "Koray", "family": "Atıcı", "full": "Koray Atıcı", "literal": null, "orcid": null, "orcid_url": null, "email": "korayatici@gmail.com", "corresponding": true, "sequence": "first", "affiliations": [ { "name": "Gazi Üniversitesi  ", "department": null, "country": null, "country_code": null, "ror": null, "ror_url": null } ] }, { "public_id": "35229b30-9056-4d0e-a5c4-d9d68523393d", "given": "Necmi", "family": "Altın", "full": "Necmi Altın", "literal": null, "orcid": null, "orcid_url": null, "email": "korayatici@gmail.com", "corresponding": false, "sequence": "additional", "affiliations": [ { "name": "Gazi Üniversitesi  ", "department": null, "country": null, "country_code": null, "ror": null, "ror_url": null } ] }, { "public_id": "b15ba2c2-af1b-4f3a-bfb0-a2649b2268d2", "given": "İbrahim", "family": "Sefa", "full": "İbrahim Sefa", "literal": null, "orcid": null, "orcid_url": null, "email": "korayatici@gmail.com", "corresponding": false, "sequence": "additional", "affiliations": [ { "name": "Gazi Üniversitesi  ", "department": null, "country": null, "country_code": null, "ror": null, "ror_url": null } ] } ], "keywords": [], "translations": [ { "language": "en", "title": "Design of MPPT Method Based on Grey Wolf Optmization for Photovoltaic Systems", "abstract": "Photovoltaic systems are the most common type of renewable energy source due to their features such as ability to be scaled from several W to MWs. The highest utilization of this energy source depends on the performance of the maximum power point tracking (MPPT) converters. In this study, a new MPPT method based on grey wolf optimization (GWO) has been developed to ensure that PV panels operate at the maximum power point. The proposed MPPT method has been applied to a boost converter. The current and voltage values of the PV panel have been read continuously, and the switching signal of the boost converter is controled through the proposed GWO based algorithm. The performance of the proposed system has been tested with MATLAB/Simulink simulations. The results obtained from the performed simulation studies show that the proposed GWO-based MPPT method has a high tracking speed, and can operate stably around the maximum power point without any oscillation.", "keywords": [ "Bozkurt Optimizasyonu, Fotovoltaik, MPPT, Yükseltici Tip Çevirici" ] } ], "subjects": [], "subject_names": [], "published_date": "2019-06-01", "published_year": "2019", "received_date": null, "accepted_date": null, "volume": "4", "issue": null, "page_first": "158", "page_last": "163", "article_number": null, "conference": { "short_name": "ISAS2019-ENS", "full_title": "3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences)", "name": "3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences)", "acronym": "ISAS2019-ENS", "location": "Ankara, Türkiye", "start_date": "2019-04-19", "end_date": null, "public_id": "ed3b36e9-38cf-4aeb-a135-833c969cc89f" }, "proceedings": { "title": "3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences)", "series_title": "Setsci conference indexing system", "publisher": "SET Technology", "isbn": null, "eisbn": null, "issn": "2618-6446", "eissn": null, "doi": null, "doi_prefix": null, "slug": "setsci-volume-4-2019-legacy-42", "public_id": "24d215ef-a545-4351-9725-6e9bdb167b3c", "url": "https://www.set-science.com/p/setsci-volume-4-2019-legacy-42" }, "license": { "name": "CC BY 4.0", "url": "https://creativecommons.org/licenses/by/4.0/", "code": "CC-BY-4.0", "open_access": true }, "copyright": { "holder": "SET Technology", "year": "2019" }, "funding_statement": null, "funders": [], "references": [ { "order": 1, "raw": "I. 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