The problem of forest and peatland fires in Riau has become main topic to prioritize its revamping. Land and forest fires in Riau until reached 3,700 hectares area, happened in some last years,.Forest and peatland fires occured in the majority of districts in Riau Province, from low category of 4 hectares until 2,800 hectares. This researchdiscusses aboutanalysis of controlling wirelessTemperature Sensor for monitoring Peat-Land fire by using LM35 Temperature Sensor, Transmitter-Module (HC-12), Receiver-Module (HC-12), Arduino-ProMini to produce outputs on LED, LCD, Buzzer. Detector of Peat-Land fire works when it is burning, so heat will spread through aluminium stalk and be read by Temperature-Sensor1 upto Temperature-Sensor4. Output of each sensor is sent to each control block of Arduino-ProMini in Transmitter-Module(FU1–FU4). From Arduino-ProMini, it is sent toReceiver-Module(FU5). Receiver-Module only receives one data from Transmitter-Module in one time. Every data is received by Receiver-Module goes to Arduino-ProMini, processed to produce outputs on LCD that shows ID of FU1–FU4, Peat-Land Status, temperature of Peat Land. If LED is Green, Peat-Land not burned, LED shows SAFE Condition, Buzzer Off. If LED is Yellow, Peat-Land burned underground, LED shows BE-CAREFUL Condition, Buzzer On. If LED is Red, Peat-Land burned on the ground, LED shows DANGER Condition, Buzzer On. Temperature 0°C–21.9°Cis SAFE Category because Peat-Land not burned. Temperature 22°C–28.4°Cis BE-CAREFUL Category because Peat-Land burned underground. Temperature 28.4°C–50°Cis DANGER Category because Peat-Land burned on the ground. This equipment works as its frame work.
The influence of connected electrical load will cause significant problems on Solar Electric Power Generator (SEPG). The problems are extremely important to be identification in order to provide electrical energy optimally. The objective of this paper is tantamount to investigate the impact of household electrical load on SEPG with variation and continuous electrical load. The identification of power quality was made by marking several test point on each output of SEPG unit. The level quality of voltage and frequency system needed to be measured and observed its performance indicator level. Furthermore, it compared by existing standard. To variation electrical load test, the results showed that the frequency of the system changed from 52 Hz to 262 Hz. In other hands, the frequency rose about five times against normal frequency. The continuous load test, that frequency of system fluctuated around 52 Hz to 156 Hz that also showed abnormal operation of SEPG.
With the progress of industry, power electronic equipment is widely used in power system, it has produced serious harmonic distortion. It goes without saying that harmonic analysis is a very important subject in power system. The influence of harmonics dominant because it is permanent. This harmonic influence spread to energy systems, energy devices, and influential to the energy source. For that, it is necessary a tool that is able to overcome these problems so that the electric energy services are not compromised and the reliability was not reduced. This study how to harmonic analysis, total harmonic distortion, and identifying the inverter at a solar power plant 320WP in accordance with the IEEE 519-2014.
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