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PENENTUAN DAYA MAKSIMUM PHOTOVOLTAIK DENGAN METODE GROUP hadi, harsono
Jurnal Sains dan Teknologi Indonesia Vol. 14 No. 2 (2012)
Publisher : Badan Pengkajian dan Penerapan Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (100.104 KB) | DOI: 10.29122/jsti.v14i2.917

Abstract

The maximum power point (MPP) is equivalent to maximum IxV at the I-V curve under G and T conditions. Characteristic and performance of the solar cell, module photovoltaic and solar generator of the photovoltaic system is possible to be evaluated through the MPP. The relationship among model, parameters and constants are expressed by a mathematical model of the exponential equation. Calculation of the MPP value at the intensity irradiation (G) and the cell temperature (T), the maximum voltage (Vmax) are fixed firstly by the current output equal to zero. The voltage output (Vout) is slowly dropped step by step (V=Vmax – n DV, where n = 1, 2, 3, . . . . m) and the current output (I) is founded. The MPPn (Iout x Vout) must be compared to the previous value of the MPPn-1 or MPPn – MPPn-1 ³ 0 Calculating process: the current-voltage (I-V) output, the MPP value is relative complicated and involves measured datum at the various irradiation and cell temperature. To simplifythe calculation of the MPP and I-V output, the group method is used to allocate the each datum [ Gn,Tn, In(In1, In2, In3, . . . Inm), Vn(Vn1, Vn2, Vn3, . . . Vnm), MPPn, Qn, Hn, . . . etc] in its dimensions [ {G1, G2,G3, . . . .Gn}, {T1, T2, T3, . . . .Tn}, {I1, I2, I3, . . . .In}, {V1, V2, V3, . . . .Vn}, {MPP1, MPP2, MPP3, . . ..MPPn}, {Q1, Q2, Q3, . . . .Qn},etc ].
Enhanced performance of PV systems using a smart discrete solar tracker with fuzzy-ant colony controller Abadi, Imam; Elchoir, Najela Rafia; Musyafa, Ali; Hadi, Harsono; Fitriyanah, Dwi Nur
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i3.pp2090-2102

Abstract

A solar tracker is a combination of mechanical and electrical systems that can be used to move a solar panel to follow the sun's direction. This solar tracker system is expected to optimize the output power of photovoltaics. Based on existing research, many solar tracking systems have been developed using active tracking methods to increase the power consumption of the components of solar trackers. Therefore, a passive solar tracking system was used to reduce the solar tracker's internal energy consumption. In this study, a passive smart discrete solar tracker was designed with 3 positions and 5 tracking positions based on a fuzzy-ant colony controller (ACO). The design of a passive solar tracker based on a fuzzy-ACO has a performance index (average) with a rise time of 0.45 s, a settling time of 0.701 s, a maximum overshoot of 0.5%, and a steady-state error of 0.05%. From the design, the 3-position passive solar tracker with fuzzy-ACO control can increase efficiency with a gross energy gain of 42.79% for 10 hours compared to a fixed PV. The 5-position passive solar tracker using fuzzy-ACO control increased the efficiency with a gross energy gain of 43.99%.