efficient fault detection relies on the precise location of the fault. the current methodology is that the consumer alerts the DISCOs in case of power issues. this leads to issues for both consumers and the respective power supply company. for the consumer, the main problem they face is the ineffici
Load flow analysis and fault detection in distribution system
efficient fault detection relies on the precise location of the fault. the current methodology is that the consumer alerts the DISCOs in case of power issues. this leads to issues for both consumers and the respective power supply company. for the consumer, the main problem they face is the inefficient supply of electricity. for the DISCOs, the main problem they face is efficient fault detection (in case of a fault). we are proposing a smart metering system, that meter shall send important metrics such as voltage, current, power factor etc. this data shall also be available to the consumer as well. in case of a fault, the meter shall generate a flag with the last known values. the earliest flag, recorded will pinpoint the location of the fault as it would have occurred in that area closest to the meter. in this way, we are helping to save time and money for both the consumer and the department, respectively.
Our objective is to reduce the delay between fault occurrence and fault detection. Moreover, our secondary objective is to provide a better and clearer picture of the network under the respective LS/SDO.
We are implementing it on an Arduino microprocessor, which is coupled with a GSM module. The module would send data at regular intervals to the main control room. The smart meter would have main functions such as measuring voltage, current, calculating power factor, total units consumed and others. The smart would be using a voltage sensor and other components used below.
we are trying to solve an issue that plagues a lot of distribution companies that is effective fault detection. currently, distribution companies rely on the customer to indicate whether they are receiving the entire supply or not. They themselves do not have the capacity to detect faults efficiently. we are trying to create a system that eliminates the customers and gives the distribution a bigger picture regarding the distribution network. thereby enabling efficient fault detection and efficient customer service.
It would comprise of an efficient smart metering mechanism, real time data sets that will help forecast and predict demand. Moreover, we will also deliver a building block for a fault management system.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| arduino uno | Equipment | 1 | 2150 | 2150 |
| GSM Module | Equipment | 1 | 5500 | 5500 |
| Voltage Sensor | Equipment | 1 | 200 | 200 |
| Diodes 1n4007 | Equipment | 6 | 10 | 60 |
| BJT Transistor | Equipment | 1 | 10 | 10 |
| 16x2 LCD display | Equipment | 1 | 350 | 350 |
| 4 channel relay kit | Equipment | 1 | 500 | 500 |
| 5 volt adapter | Equipment | 1 | 350 | 350 |
| potentiometer | Equipment | 1 | 120 | 120 |
| jumper wires | Equipment | 2 | 150 | 300 |
| transfomers | Equipment | 4 | 620 | 2480 |
| bulb holders | Equipment | 3 | 150 | 450 |
| PCB | Equipment | 1 | 1200 | 1200 |
| bulb 100 W | Equipment | 3 | 300 | 900 |
| solder iron | Equipment | 1 | 1724 | 1724 |
| solder wire | Equipment | 1 | 10 | 10 |
| whiteboard | Equipment | 1 | 350 | 350 |
| capacitor | Equipment | 10 | 5 | 50 |
| multimeter | Miscellaneous | 1 | 3599 | 3599 |
| buttons | Miscellaneous | 30 | 20 | 600 |
| thesis binding/printing | Miscellaneous | 6 | 500 | 3000 |
| Fuel expenses | Miscellaneous | 2 | 1000 | 2000 |
| GPS module | Equipment | 1 | 1000 | 1000 |
| preset 10k | Equipment | 1 | 450 | 450 |
| GLUE GUN | Equipment | 0 | 550 | 0 |
| Total in (Rs) | 27353 |
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