All electric power cannot be distributed well to consumers caused of Power-Losses caused by technical and untechnical losses. Power-Losses caused by technical issue in Distribution-Network caused-by resistance substance in conductor which is permanent. An ideal conductor must not has resistance, but in reality, every matter has resistance towards electric. Main possibility of Power-Losses in Distribution-Network is natural situation of network itself, such-as length of network always tends to increase. Aim of research is to calculate Power-Losses that absorbed by conductor in Primary-Distribution-Line-20kV with Point-to-Point Sequential Method while it loaded. The highest Power-Losses occurred in conductor OL–Melati Street with RST-Phases are 4766,441Watt, 4335,654Watt, 4003,747Watt, respectively. The biggest Power-Losses is on conductor of OL–Melati Sreet, whereas current and resistance are bigger than others. Total Power-Losses absorbed-by conductor is 72135.99Watt that the smallest losses, obtained from measuring of used real load on each Distribution-Transformer. Percentage of Power-Losses towards used power on Lobak-Feeder 1.3177%.
Department of Electrical Engineering, Universitas Riau, Indonesia
The AIS (Automatic Identification System) is used for monitoring ship traffic in the Singapore Strait. The AIS system is automated tracking system that was used in ship industry. The system consists of hardware that functions as AIS data receiver and AIS decode software developed with LabVIEW programming language. The system visualizes real-time coordinates of ships (longitude and latitude) to google maps. The method of decoding from AIS data onto ship data consists of 3 stages. Firstly, AIS data with char data type is converted to decimal. Secondly, decimal data is converted to binary and mirrors binary data results. Lastly, binary grouping according to ITU Recommendation M.1371 and binary grouping conversion with MSB reading to decimal are done. Results from the AIS system are: decoded MMSI, navigation status, Rate of Turn (ROT), ship speed, ship position (Longitude and Latitude), Course over Ground (COG), True Heading (HDG), Time Stamp, RAIM flag and Radio status. The accuracy of the system is 99.61%.
Mechantronics Study Program, Electrical Department, Politeknik Negeri Batam, Batam, Indonesia
Manufacturing of Microelectronics Study Program, Electrical Department, Politeknik Negeri Batam, Batam, Indonesia
Ship Design and Construction Study Program, Mechanical Engineering Department, Politeknik Negeri Batam, Batam, Indonesia
This research is reporting a skid adjustment method of an electric vehicle passenger car model by using active brake force control to improve vehicle stability in various driving condition. The presence of skid is determined by comparing the tires rotational speed and the free-rolling speed. The discrepancy of the measured velocities between these sensors indicates the presence of skidding. Further, a two wheels front steering model is used in this work. When the model performing a turning motion, the measured yaw rates Obtained from speed sensors and steering angle sensor can also be used and compared to observe the skidding that indicates either understeer or oversteer. Ackerman calculation is used to investigate the motion of the model. Compensated moment method is used for braking system during the test, such as accelerating, braking, turning and straight cruising. The control system for either simulation or operation test was performed using fuzzy logic controller. The results then were compared and analyzed to show the capability of the controller method to improve the performance of the vehicle model.
Electronic Engineering, Electronic Engineering Polytechnic institute of Surabaya, Indonesia
Mechatronic Engineering, Electronic Engineering Polytechnic institute of Surabaya, Indonesia
