Analisis Peningkatan Daya Terbangkit Pada Photovoltaic (PV) Dengan Mitigasi Polutan Berbasis Fuzzy Logic

Haq, Siti Zaenab Nurul (2021) Analisis Peningkatan Daya Terbangkit Pada Photovoltaic (PV) Dengan Mitigasi Polutan Berbasis Fuzzy Logic. Masters thesis, Institut Teknologi Sepuluh Nopember.

	Text 07111950010005-MASTER_THESIS.pdf - Accepted Version Restricted to Repository staff only until 1 October 2023. Download (8MB) | Request a copy
	Text 07111950010005-MASTER_THESIS.pdf Restricted to Repository staff only Download (8MB) | Request a copy

Abstract

Seperti yang telah diketahui bahwa pembangkit listrik dengan memanfaatkan cahaya matahari disebut dengan solar sel atau photovoltaics merupakan salah satu solusi sumber energi terbarukan. Mitigasi yang dibahas dalam penelitian ini adalah untuk ketidakstabilan karena adanya penurunan iradiansi secara tiba-tiba maupun debu polutan. Oleh karena itu, sebuah analisis alat yang mampu memitigasi baik pengaruh ketidakstabilan maupun pengaruh polutan atau polusi pada photovoltaic ini sangat dibutuhkan untuk meningkatkan atau mengembalikan energi yang hilang karena permukaan PV. Pada sistem ini, analisis alat mengacu pada sistem kendali pada konfigurasi PV dan juga debu yang dibaca oleh sensor deteksi debu, arus yang dibaca oleh sensor arus dan tegangan yang dibaca oleh sensor tegangan. Dari ketiga input sensor itu, dilakukan agregasi berbasis tegangan dan arus, kemudian agregasi berbasis debu berdasarkan aturan yang dibuat oleh fuzzy logic. Dari simulasi didapatkan MDCC terkompensasi filter LCL berkontribusi saat arus overshoot mengalami penurunan sebesar 61,684% dan saat tiba-tiba terjadi penurunan iradiansi dan undershoot sebesar 11,915%. Power overshoot juga mengalami penurunan sebesar 47,951% dan undershoot mengalami penurunan sebesar 12,262%. Peningkatan tertinggi didapatkan ketika menggunakan agregasi tegangan dan arus karena meningkatkan daya terbangkit hingga 3,53% meskipun hampir sama dengan performa agregasi debu yang meningkatkan hingga 3,35%.
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As it is well known that power generation by utilizing sunlight, called solar cells or photovoltaics, is one of the solutions for renewable energy sources. The mitigation discussed in this study is for instability due to a sudden decrease in irradiance and pollutant dust. Therefore, an analysis tool that is able to mitigate both the instability effect and the effect of pollutants or pollution on photovoltaic is urgently needed to increase or restore the energy lost due to surface PV. In this system, the tool analysis refers to the control system in the PV configuration and also dust which is read by the dust detection sensor, current which is read by the current sensor and voltage which is read by the voltage sensor. From the three sensor inputs, voltage and current-based aggregation is carried out, then dust-based aggregation based on the rules made by fuzzy logic. From the simulation, it is found that the MDCC compensated LCL filter contributes when the overshoot current decreases by 61.684% and when suddenly there is a decrease in irradiance and undershoot by 11.915%. Power overshoot also decreased by 47.951% and undershoot decreased by 12.262%. The highest increase is obtained when using voltage and current aggregation because it increases the generation power up to 3.53% although it is almost the same as the dust aggregation performance which increases up to 3.35%.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	filter LCL, fuzzy logic, mitigasi, photovoltaic, polutan debu, LCL filter, mitigation, dust pollutant
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1056 Solar power plants. Ocean thermal power plants
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20101-(S2) Master Thesis
Depositing User:	SITI ZAENAB NURUL HAQ
Date Deposited:	16 Aug 2021 05:56
Last Modified:	16 Aug 2021 05:56
URI:	http://repository.its.ac.id/id/eprint/86988

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