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"To product electric emergy for simply house the system can supply seven unit lamps that are 3W or 7 unit lamps 7W. In this research we use three unit solar panel each 50Wp, 12V, 1.5 A, solar panel in parallel connection, the output voltage solar panel 12V and the putput of current is 4,5A. The moment sun is bright, the current income to charge controller and the to the battery, charge controller must be to flow to the battery, so we chose the 15A charge controller. If the sun is bright in a day we take the data start at 09.00 until 15.00 WIB, about sic hours, so in the battery has 27Ah, so we need 12V 45Ah battery for three unit solar panel 12V. the meaning only for lighting only, the power is 300W. If loads in the output inverter 1,36A and the input current in inverter is 25A, energy in the battery for six hours is 27Ah, so energy in the battery can for 1,3 hours, for operating in 2,6 hours we must have six solar panels, with charge controller 15A, 500W. For loads seven lamps each 3W so all 21W, current per lamp 0,014A so the output inverter 0,09A, the output voltage inverter 220V, the input voltage inverter 12V, the input current 1,75A, electrical energy ini battery 27Ah, the capability system to supply 15 hours, if we use 7W lamps so the total power 49W we need input current 4A, so can supply for 6,5 hours."

"ABSTRACTBerkembangnya dan kemajuan era globalisasi ini menunjukan peningkatan akan kepedulian terhadap lingkungan sehingga munculnya peminatan pada energy terbarukan renewable energy khususnya Photovoltaic PV semakin meningkat, khususnya pada daerah beriklim tropis seperti Indonesia yang didominasi oleh tingginya intensitas cahaya matahari yang dapat dimanfaatkan untuk pembangkitan energy terbarukan dari sumber cahaya matahari. Pada penelitian ini, dilihat parameter dari DC charging station terhadap parameter suhu lingkungan yang ada dengan input baterai lithium-ion yang digunakan berdasarkan pembebanan rumah arus searah dengan tegangan 12V dan kapasitas 33 Ampere-hour. Pengaruh dari suhu lingkungan terhadap kinerja tegangan Photovoltaic PV, pengaruh perubahan arus charging terhadap waktu pengisian baterai dan performa dari solar charge controller dari masukan Photovoltaic terhadap baterai yang akan ditinjau dari penelitian ini.

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ABSTRACTThe development of globalization shows an increased awareness of the environment so that the emergence of specialization in renewable energy Photovoltaic PV especially increase in tropical climates such as Indonesia which is dominated by the high intensity of sunlight that can be utilized for energy generation renewable from a solar source. In this study, the parameters of the DC charging station to the existing environmental temperature parameters with the input battery lithium ion used based on direct current home loading with 12V and 33 Ampere hour capacities. The effect of ambient temperature on Photovoltaic PV voltage performance, the effect of changes in charging on battery charging times and the performance of the solar charge controller from Photovoltaic inputs to the batteries to be observed from this research. "

"Dewasa ini teknologi modul surya mengalami penurunan harga produksi sebesar. Hal ini disebabkan munculnya teknik produksi yang mengefisiensikan produksi modul surya. Modul surya dalam pemakaiannya memiliki beberapa keterbatasan diakibatkan dari karakter pembebananya mengikuti kurva karakteristik I-V dari modul. Hal ini memunculkan teknologi Maximum Power Point Tracking agar daya modul dapat dimanfaatkan secara maksimal. Pada penelitian ini dilakukan rancang bangun Solar Charge Controller dengan metode Maximum Power Point Technique (MPPT) dengan teknik Perturb and Observation(P&O). P&O adalah salah satu teknik dalam metode MPPT yang paling banyak digunakan. Alat yang dirancang berbasis mikrokontroler Arduino sabagai perangkat yang berperan mengendalikan rangkaian serta menghasilkan sinyal PWM untuk mengatur buck conveter. Pengujian terhadap hasil rancang bangun dilakukan untuk memvalidasi kerja serta efisiensi rangkaian dengan pembanding rangkaian tanpa MPPT. Pengujian efisiensi pada rancang bangun MPPT berhasil mendapat peningkatan efisiensi pada beban 1, 2, dan 3 sel secara berurutan sebesar 52, 38, dan 9.

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Today solar module technology has decreased production prices. This is due to the emergence of production techniques that streamline the production of modul suryas. The modul surya in its use has several limitations due to the characterization of its load following the I-V characteristic curve of the modul. This raises the Maximum Power Point Tracking technology so that modul power can be fully utilized.

In this study the design of Solar Charge Controller was carried out using the Maximum Power Point Technique (MPPT) method with Perturb and Observation (P & O) techniques. P & O is one of the most widely used techniques in the MPPT method. The tool is designed based on the Arduino microcontroller as a device that has the role of controlling the circuit and producing PWM signals to regulate buck conveter.

Several tests were carried out to validate the circuit work and work efficiency of the designed MPPT and without MPPT circuit as a comparison. Obtained on the design MPPT succeeded in increasing the efficiency of loads 1,2, and 3 respectively by 52, 38, and 9."

"Maximum Power Point Tracking merupakan alat tracking yang digunakan untuk menemukan titik arus dan tegangan paling optimal dari panel surya. Pengontrol pengisian daya melihat output panel dan akan membandingkannya dengan titik tertinggi perolehan daya dari panel tersebut. Alat ini juga dibutuhkan untuk mencari tingkat duty cycle (nilai arus) terbaik untuk mendapatkan nilai daya maksimum ke dalam baterai. Kinerja maximum power point tracking (MPPT) dipengaruhi oleh beberapa faktor, diantaranya adalah algoritma yang digunakan untuk memperoleh nilai maksimum dari panel surya. Salah satu algoritma yang telah digunakan dalam MPPT adalah perturb & observation dimana algoritma ini menggunakan mekanisme tracing daya puncak dengan cara menaikan nilai arus secara bertahap sampai mencapai titik tertinggi daya yang dapat diperoleh oleh panel surya. Selain algoritma perturb & observation terdapat algoritma lain seperti neural network dan Fuzzy Logic. Algoritma fuzzy memiliki keunggulan diantaranya kemampuan membaca data secara lebih akurat, dapat digunakan pada pemodelan fungsi non linear, dan memiliki tingkat penyesuaian yang cepat dan fleksibel. Pada skripsi ini akan digunakan algoritma fuzzy untuk mendapatkan daya tertinggi dari solar charge controller. Hasil penerapan algoritma Fuzzy ini dibandingkan dengan algoritma perturb & observation pada kondisi uji coba yang dibuat sama. Hasil dari eksperimen menunjukkan bahwa periode waktu yang dibutuhkan Fuzzy Logic untuk mencapai titik maksimal 21.698% lebih singkat dibandingkan metode perturb & Observation.

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Maximum Power Point Tracking is a tracking tool used to find the most optimal current and voltage points from solar panels. The charging controller looks at the panel's output and compares it to the highest point of power gain from that panel. This tool is also needed to find the best level of duty cycle (current value) to get the maximum power value into the battery. Maximum power point tracking (MPPT) performance is influenced by several factors, including the algorithm used to obtain the maximum value from the solar panel. One of the algorithms that have been used in MPPT is perturb & observation where this algorithm uses a peak power tracing mechanism by increasing the current value gradually until it reaches the highest point of power that can be obtained by solar panels. In addition to the perturb & observation algorithm, there are other algorithms such as neural networks and fuzzy logic. The fuzzy algorithm has advantages such as the ability to read data more accurately, can be used in modeling non-linear functions, and have a fast and flexible adjustment rate. In this thesis, a fuzzy algorithm will be used to get the highest power from the solar charge controller. The results of the application of the fuzzy algorithm are compared with the perturb & observation algorithm in the same experimental conditions. The results of the experiment show that the time period required for Fuzzy Logic to reach the maximum point is 21.698% shorter than the Perturb & Observation method."