Dynamic Economic Dispatch dengan Penetrasi Maksimal Renewable Energy sebagai Upaya Implementasi Kebijakan Kewajiban Energi Terbarukan

Cahyasakti, Shafira (2023) Dynamic Economic Dispatch dengan Penetrasi Maksimal Renewable Energy sebagai Upaya Implementasi Kebijakan Kewajiban Energi Terbarukan. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pembangkit konvensional merupakan salah satu sumber pembangkit listrik yang dominan digunakan hingga saat ini. Namun dalam beberapa dekade terakhir telah terjadi percepatan integrasi sumber energi baru terbarukan sebagai transisi terhadap dekarbonisasi dalam sektor kelistrikan. Dengan adanya kebijakan mengenai kewajiban energi baru terbarukan mendorong beberapa negara untuk memaksimalkan penetrasi dari pembangkit listrik tenaga baru terbarukan. Dynamic Economic Dispatch menganalisa sistem kelistrikan agar dapat mengeluarkan potensi maksimal secara optimal dengan menekan biaya pembangkitan seminimal mungkin. Oleh karena itu dalam penelitian ini dilakukan penggabungan pembangkit listrik termal dan energi baru terbarukan (EBT) untuk dianalisa sehingga mendapat solusi optimal yang merupakan kompromi antara memaksimalkan pembangkitan energi baru terbarukan dengan meminimalkan biaya operasi. Aturan baru mengenai energi baru terbarukan diimplementasikan untuk memastikan sumber energi terbarukan digunakan secara maksimal. Metode Particle Swarm Optimization digunakan untuk menyelesaikan permasalahan ini, dan metode Turbulent Flow of Water-Based Optimization digunakan sebagai pembanding. Hasil simulasi menunjukkan nilai biaya pembangkitan termal tanpa adanya penetrasi EBT adalah sebesar $23462.11 sedangkan ketika adanya penetrasi EBT sebesar 27.5%, biaya pembangkitan adalah sebesar $23149.54. Hal ini menunjukkan adanya penetrasi EBT dapat membantu menurunkan biaya pembangkitan. Simulasi pada penelitian ini menggunakan software MATLAB.
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Conventional plants are one of the dominant sources of power generation used to date. However, in recent decades there has been an acceleration of the integration of new renewable energy sources as a transition to decarbonization in the electricity sector. This decarbonization is motivated by the need to reduce greenhouse gases caused by conventional plants that threaten the world's climate. Policies regarding new and renewable energy are increasingly being implemented. The policy on new renewable energy obligations encourages some countries to maximize the penetration of new renewable power plants. Economic Dispatch analyzes the electrical system to optimally release its maximum potential by reducing generation costs to a minimum. Therefore, in this study, the combination of thermal power plants and renewable energy (RE) was carried out to be analyzed to get an optimal solution which is a compromise between maximizing the generation of new renewable energy and minimizing operating costs. New rules regarding new renewable energy are implemented to ensure renewable energy sources are used to the maximum. Particle Swarm Optimization (PSO) method will be used to solve this problem, and Turbulent Flow of Water-based Optimization will be used as a comparison. The simulation results show that the value of the cost of thermal generation without EBT penetration is $23462.11 whereas when there is 27.5% penetration of EBT, the generation cost is $23149.54. This shows that renewable energy penetration can help reduce generation costs. The simulation in this study will use MATLAB software.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Dynamic Economic Dispatch, Energi Baru Terbarukan, Penetrasi EBT, Particle Swarm Optimization, Turbulent Flow of Water-based Optimization, Dynamic Economic Dispatch, Renewable Energy, RE Penetration, Particle Swarm Optimization, Turbulent Flow of Water-based Optimization.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy or power T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1056 Solar power plants. Ocean thermal power plants T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1322.6 Electric power-plants
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Shafira Cahyasakti
Date Deposited:	20 Jul 2023 07:26
Last Modified:	20 Jul 2023 07:26
URI:	http://repository.its.ac.id/id/eprint/98729

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