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Fuzzy based MPPT Control System in Grid Connected Solar Plant awan krismanto; Heru Purbo Waseso; Abraham Lomi; Eko Yohanes Setyawan; Adlan Bagus Pradana
Journal of Advanced Technology and Multidiscipline Vol. 1 No. 1 (2022): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1093.328 KB) | DOI: 10.20473/jatm.v1i1.39562

Abstract

The increase in demand for the electricity system is increasing. Thus, enviromentally friendly technologies such as new and renewable energy are needed, one of which is a power plant with Photovoltaic as the main component. Solar power plant has enviromentally friendly properties. The design of this solar power plant uses Fuzzy Logic Controller and PI Controller methods, where both methods are used to find the maximum power peak point used for fast charges and MPPT, which is simulted using MATLAB/Simulink. The things presented in developing the generating system using these two methods are solar radiation intensity, temperature and Photovoltaic module. The model developed will make it possible to examine the characteristics of solar power plant and predict the amount of energy generated by solar panels in a particular location and compare the effectiveness of Fuzzy Logic and PI methods. The results shows that Fuzzy method produces a boost converter output voltage in the range of 600 V with result that are still not good and less stable, but the irradiation of 100 W/m2 voltage is stable, while the boost converter output voltage controller by the PI method is very good and stable in all conditions. Radiation and voltage are also in the range of 600 V.
Pengembangan Sistem Kelistrikan Tanah Merah Mempertimbangkan Energi Baru Terbarukan dan Emisi CO2 Amrisal Kamal Fajri; Sarjiya; Lesnanto Multa Putranto; Adlan Bagus Pradana; Fransisco Danang Wijaya
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 12 No 3: Agustus 2023
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v12i3.5254

Abstract

The condition of the electricity system in the Papua region still has an electrification ratio of 94% with a high electricity generation cost of IDR3,041/kWh. In addition, the existing electricity system still consists of over 100 small systems, the majority of which are diesel power plants. One of the systems is the Tanah Merah area, with a population of 19,136 people and an energy demand of 6.89 GWh. The region is projected to experience expansion and population growth, resulting in a corresponding rise in the demand for electrical energy. Therefore, planning for the development of power plant systems needs to be done to meet the growing demand for electrical energy. Planning in remote areas is typically done for a short-term timeframe spanning from 2025 to 2030, involving the optimization process of several proposed power plant candidates. The proposed candidate power plants consider gas and fuel supply, as well as the availability of local primary energy and technology. Optimization will minimize the total cost of the to-be-selected power plant, which has features including initial investment costs, ongoing operation and maintenance costs, fuel expenses, and the residual value of the assets throughout the planned duration. In planning, a greenhouse gas emission reduction of 29% and an energy mix proportion of 23% need to be considered in accordance with government policy. Therefore, two scenarios covering both economic and environmental aspects were considered in the simulation process, namely the business as usual (BaU) scenario and the nationally determined contributions (NDC) scenario for emission limitation. Optimization was developed based on mixed-integer linear programming (MILP) performed in HOMER software. The simulation results indicate that the electricity generation cost for the BaU scenario is more economical compared to the NDC scenario at IDR2,559.8/kWh versus IDR3,104.64/kWh.