Development of a New Modeling Circuit for the Remote Terminal Unit (RTU) with GSM Communication

This paper introduces the design and development of Intelligent Remote Terminal Unit (RTU) which is to be applied as an automation technique for operating and controlling the low voltage (LV) downstream of 415/240V to enhance reliability of power for the consumers. The design proposed based on Global System for Mobile (GSM) communication and this paper also presents as efficient design for distribution automation system and its implementation in remote/automatic monitoring and controlling of the relays (circuit breaker) by means of GSM Short Message Service (SMS) services, automatic decision making and continuous monitoring of distribution system components in real time. The system has been equipped with microcontroller as a main component which act as an RTU programmed using Microcontroller PRO compiler software. The RTU provides monitoring fault operation, controlling functions and data collection for analysis. RTU will initiate the transaction with the digital and output modules. The master of this system is RTU and the slaves are digital and output modules. RTU plays an important role in detecting fault and assigned to serve message immediately in the control room. This system involves the detection of fault connected to the microcontroller(PIC18F77A) and GSM modem. When the fault occurs, the sensor will send the signals to the PIC16F77A. The PIC is programmed to process the data and send the signals to the GSM modem. Once received the data, GSM will send the message to the control room operators or other authorized personnel to alert them on the current situation through cellular phone. The results are then communicated between hardware circuit and simulation circuit for the final conclusion with the properly functional algorithm

Remote Terminal Unit Developed for Distribution Automation System (DAS) using MPLAB Software

Remote terminal (RTU) is a standalone data acquisition and control unit which monitoring and control equipment at some remote location from the central station that utilizes in the Distribution Automation System (DAS). The functions of this RTU are acquisition of information such as measured values, signal, meter readings and RTU also can transmit command or instruction, set points, control variables and monitoring as a function of time. In the present Distribution Automation System(DAS), the distribution field of automation allows the utilities to implement flexible control of distribution system to enhance efficiency, reliability, and quality of electric service. The implementation of distribution automation system will be highlight based on two factors which are benefit of distribution automation system implementation and area of distribution automation system implementation. The hardware design uses PIC16F877A microcontroller to control all the function of RTU. The types of fault detected are under voltage and overcurrent. The design consists of MPLAB software development using C programming and hardware assembly. RTU also designed to communicate with the SCADA system and the result is RTU able to detect under voltage and overcurrent fault

Electric Vehicle Development And Prediction Of Battery Consumption Based On A Journey Profile

The lack of internal combustion engine (ICE) for electric vehicle (EV) makes it solely dependable on battery supply. Due to this, the prediction of battery consumption becomes crucial to determine the accurate driving range before the car needs to be re-charged. The developed prediction model can also be applied as simulation tool and help in reducing the length and the cost of the EV design process. This paper presents the prediction of battery power requirement for a small re-engineered EV converted from a commercial ICE car by using vehicle dynamic mathematical equations. The prediction is performed based on multiple journey profile that gathered before the actual test. The development of re-engineered EV is also presented, along with the experimental result of an actual drive test on a racing circuit to validate the prediction model