Figure 1
a Simple DC Generator or Motor The Source from Figure 1 from Nur Fauziyah, Ten November Institute of Technology Surabaya 2017) [9]. Furthermore, A battery is an electrochemical cell consisting of a pair of electrodes (cathode-anode) and an electrolyte. This cell functions as a source of electrical energy obtained from chemical energy conversion through redox reactions (reduction and oxidation). The reduction reaction occurs at the cathode, and the oxidation reaction occurs at the anode [4].
Source publication
- Electrical energy is a human daily need that cannot be separated, even the need for electrical energy has increased every year. This is evident from the construction of renewable energy plants in areas with potential. In this thesis, a control and monitoring system for a vertical turbine wind power plant prototype will be made using the internet...
Contexts in source publication
Context 1
... monitoring box consists of a NodeMCU microcontroller as a data processor from the unit, then a PZEM 004T sensor as a voltage, current, frequency, and power reader sensor, then relay1 (5v) as an output voltage switch from the generator, relay2 as an inverter voltage breaker and then a dc voltage regulator 12v to 5v as a voltage supply in the microcontroller in the monitoring unit. It can be seen in Figure 10. ...
Context 2
... This is the condition when the PLTB is no-load (not yet included auto buck-boost) and the graph in Figure 12. This test is done by providing the input voltage from the PLN source. ...
Citations
... Dengan tuntutan akan keberlanjutan dan keandalan sumber energi, pendekatan inovatif menjadi esensial [1][2] [3] . Penelitian ini berfokus pada pengembangan sistem energi terbarukan melalui pendekatan multigenerator dan simulasi menggunakan perangkat lunak ETAP (Electrical Transient Analyzer Program) [4][5] [6]. Pentingnya memahami bagaimana sumber energi terbarukan dapat diintegrasikan secara efektif dalam jaringan listrik mengilhami penggunaan model multigenerator yang memfasilitasi integrasi yang optimal [7][8] [9]. ...
This research focuses on the analysis of power flow in an electrical energy system involving 5 generators, with a nominal voltage of 345 KV, and a total power of 500 MW. Utilizing the ETAP simulation software, we evaluated the distribution of power, currents, and power factor across the entire system. The results of the analysis provide deep insights into the system's response to loads, power flow, and the efficiency of electrical power utilization. At the 345 KV voltage level, the simulation demonstrates the system's capability to maintain stability and power balance effectively. Power distribution and currents among generators provide a clear overview of the performance of the electrical network. Power factor analysis offers additional information regarding the efficiency of electrical power usage within the system. These findings serve as a crucial foundation for making informed decisions in managing and developing renewable energy infrastructure. In the era of transitioning towards more sustainable energy sources, a comprehensive understanding of power flow and system responsiveness to loads is essential to ensure the reliability and efficiency of the electrical power system
... [4][5] [6] Begitu juga sebaliknya bila beban listrik turun maka frekuensi akan naik, governor mesin-mesin pembangkit harus mengurangi masukan bahan bakar ke mesin penggerak utama untuk menurunkan frekuensinya sampai dengan frekuensi listrik kembali ke batas standar yang diijinkan. [7][8] [9] Saat ini berbagai usaha dan metode telah digunakan oleh para ahli untuk menjaga kestabilan khususnya terkait dengan masalah perubahan frekuensi. Berbagai usaha ini dimulai dari desain kontroler metode konvensional dalam load frequency control. ...
This research explores the use of a Governor as a frequency control mechanism in a power generation system by implementing two control methods: Proportional-Integral (PI) Controller and Fuzzy Logic Controller (FLC). The objective of the study is to evaluate the dynamic frequency response of the system and compare the performance of both control methods against the permissible standard, which is within the range of 50±2% (49 Hz to 51 Hz). Through simulations of a power generation system, parameters were adjusted to achieve the target frequency, and both control methods were evaluated. The results indicate that both methods can maintain the frequency within the desired range. However, Fuzzy Logic Controller on the Governor produces a superior dynamic frequency response with a lower steady-state error percentage. The implementation of Fuzzy Logic Controller also demonstrates a faster time to reach steady state compared to the PI Controller method. This superiority suggests that FLC provides more adaptive and responsive control to load fluctuations, enhancing the efficiency and stability of the power generation system.This research provides deeper insights into optimizing frequency control on Governors, particularly through the use of Fuzzy Logic Controller. Consequently, the development of this technology has the potential to improve the performance and reliability of power generation systems, supporting the transition towards a more efficient and sustainable electric grid.
This research delves into the intricacies of an Automatic Transfer Switch (ATS) system anchored on the Zelio SR2A101BD smart relay. The exploration primarily centers on the functionality and performance metrics of the system's components, notably the PZEM-004T sensor for electrical data acquisition and the DS18B20 for temperature sensing. Through meticulous experimentation and testing, the research underscores the system's capability to seamlessly transition between primary (PLN) and secondary (PLTS) power sources during interruptions or failures. Utilizing the Zelio Soft 2 software as an analytical tool, the research gauges the system's efficiency and responsiveness. Noteworthy findings highlight an average transition time of 4.39 seconds from PLN to PLTS and 1.06 seconds in the opposite direction. This research culminates in affirming the ATS system's reliability and its potential as a pivotal component in modern electrical infrastructures.
At this time charging system has been increasingly advanced. advance with technological developments. One of them is the use of microcontrollers whose. applications are growing rapidly their application in charging. Battery Charge Controller is a charging device, to adjust the input voltage and output voltage of the battery so as not to overcharge and overdischarge. In this study, a battery charging control system with inputs produced by a pedal power plant was designed to drain the power from the power cycling generator to the Arduino Uno Microcontroller atmega 2560. The test that have been done on the Battery Charge Controller obtained a voltage of 14 volts, which causes the power supply to the load to be stable.
