Pakistan is currently facing a severe and multifaceted energy crisis. Electricity shortages exceeded 5,000 megawatts in 2022.The energy shortages are estimated to cost around 2 percent of GDP annually. This shortfall is the result of the failure, over successive governments? tenures, to invest enoug
Intelligent Load Management System for Photovoltaic System
Pakistan is currently facing a severe and multifaceted energy crisis. Electricity shortages exceeded 5,000 megawatts in 2022.The energy shortages are estimated to cost around 2 percent of GDP annually. This shortfall is the result of the failure, over successive governments’ tenures, to invest enough to expand power system capacity. Low and declining investment and savings rates (including in power) reflect macroeconomic weaknesses.
Energy management and power saving is the need of today world. Different techniques are developed to manage the shortage of power and to use it efficiently.
Photovoltaic system is a significant bio fuel, which shares a larger part of renewable energy. As the demands for solar electricity in recent decades has grown significantly. Intelligent monitoring has been given great attention in terms of increasing performance. A wireless platform has recently been combined with photovoltaic solar energy monitoring system including data collection from through wireless data transfer from different sensors and nodes. Energy management is a very important and complex topic nowadays, it involves selecting a number of energy producing sources that can power a range of loads while reducing loss and costs.
The main objectives of the above projectare as follows.
Our system is presented with its hardware structure.
For intelligent management, we first make communication between floor and room using arduino and bluetooth module.
Voltage and current sensors are used to calculate power consumption of individual load. Then we schudule the loads using different techniques like battery percentage, power consumption, AC/DC settings, day/night scheduling etc.
We test our prosposed model using different loads and test the input and output of different sensors and nodes using oscilliscope and function generator.
The final product of this project will benifit the user by reducing electricity bill. This will manage the loads intelligently and will reduce the power consumption. The designed project will prevent the user from energy shortage.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| 500W solar Panel | Equipment | 1 | 40000 | 40000 |
| 1000W Inverter | Equipment | 1 | 2000 | 2000 |
| Arduino Mega | Equipment | 2500 | 1 | 2500 |
| Arduino Uno | Equipment | 1500 | 1 | 1500 |
| 150Ah Battery | Equipment | 12000 | 1 | 12000 |
| bluetooth Module | Equipment | 200 | 2 | 400 |
| Current Sensor | Equipment | 250 | 6 | 1500 |
| Voltage sensor | Equipment | 250 | 6 | 1500 |
| RTC module | Equipment | 1 | 400 | 400 |
| Total in (Rs) | 61800 |
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