Wardana, Ariq Kusuma (2022) Strategi Kontrol Baterai-Supercapacitor (Hybrid Energy Storage System) Untuk Smoothing Fluktuasi Daya Photovoltaic Berbasis Dynamic Programming. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Karakteristik photovoltaic (PV) bersifat intermittent terhadap fungsi waktu, hal ini berpengaruh terhadap keandalan dan kualitas daya dari sistem kelistrikan. Salah satu metode untuk memitigasi fluktuasi daya PV yaitu menggunakan energy storage, seperti baterai. Sayangnya, karakteristik baterai mempunyai power density yang rendah dan adanya fenomena inersia elektris, sehingga operasi baterai kurang optimum dan berpotensi menyebabkan degradasi baterai lebih awal. Untuk mengoptimalkan lifespan dari baterai, dapat dikombinasikan dengan energy storage lainnya (hybrid energy storage system) yang mempunyai power density tinggi, salah satunya supercapacitor. Strategi kontrol baterai-supercapacitor diharapkan memberikan respons settling time yang dinamis, dan masa pakai energy storage yang lebih lama. Pada penelitian ini mengusulkan strategi kontrol melalui optimisasi compensation factor (CF) atau yang disebut strategi proposed with optimization. CF adalah rasio tegangan baterai terhadap tegangan supercapacitor, yang berperan sebagai pengali (multiplier) sinyal referensi supercapacitor. Penentuan objective function meliputi memaksimalkan CF dan meminimalkan DODbat melalui metode dynamic programming. Hasil yang diperoleh pada simulasi ini terdiri atas skema short-term dan long-term. Evaluasi untuk strategi proposed with optimization pada skema short- term menghasilkan hasil yaitu mampu meningkatkan respons kontroler sebesar 18,85% untuk studi kasus kenaikan daya PV, dan 24,41% untuk studi kasus penurunan daya PV. Selain itu mampu mendangkalkan DODbat sebagai upaya meningkatkan lifespan dari baterai, dan alokasi daya supercapacitor yang lebih tinggi. Selanjutnya, hasil dari strategi proposed with optimization untuk skema long-term memiliki performa dan efektivitas yang baik untuk operasi realistis.
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The characteristics of photovoltaic (PV) are intermittent concerning the function of time, this affects the reliability and power quality of the electrical system. One method to mitigate PV power fluctuations is to use energy storage, such as batteries. Unfortunately, the characteristics of the battery have a low power density and the phenomenon of electrical inertia, so the battery operation is not optimal and can potentially cause early battery degradation. To optimize the battery's lifespan, it can be combined with other energy storage systems (hybrid energy storage systems) with high power density, one of which is a supercapacitor. The battery-supercapacitor control strategy is expected to provide a dynamic settling time response and a more extended energy storage life. In this study, we propose a control strategy by optimizing the compensation factor (CF) or the so-called proposed optimization strategy. CF is the battery voltage to supercapacitor voltage ratio, which acts as a multiplier for the supercapacitor reference signal. Determining the objective function includes maximizing CF and minimizing DODbat through dynamic programming methods. The results obtained in this simulation consist of short-term and long-term schemes. The evaluation of the proposed optimization strategy in the short-term scheme yielded results that increased the controller response by 18,85% for the case study of increasing PV power and 24,41% for decreasing PV power. In addition, it can shallow DODbat as an effort to increase the lifespan of the battery and allocate higher supercapacitor power. Furthermore, the results of the proposed optimization strategy for long-term schemes have good performance and effectiveness for realistic operations.
| Item Type: | Thesis (Masters) |
|---|---|
| Additional Information: | RTE 621.312 6 War s-1 2022 |
| Uncontrolled Keywords: | PV power smoothing; strategi kontrol HESS; optimisasi dynamic programming.. PV power smoothing; HESS control strategy; dynamic programming optimization |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20101-(S2) Master Thesis |
| Depositing User: | Mr. Marsudiyana - |
| Date Deposited: | 06 Jul 2026 03:36 |
| Last Modified: | 06 Jul 2026 03:36 |
| URI: | http://repository.its.ac.id/id/eprint/134333 |
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