Solar Power Prediction, Management And Predictive Maintenance

Problem Statement

There is an increasing adoption of renewable energy sources globally. In particular, in India, solar energy plays an increasingly important part of the country’s growth and sustainability. In 2015 the target was raised to 100 GW of solar capacity by 2021.

Akal Academy is a group of academic institutions in Punjab India, that helps students mostly from the deprived sections of society gain access to quality education. There are twelve (12) sites in remote areas of Punjab. The sites were electrified through hybrid solar plants integrated with the grid.

AIM

To perform a data mining and knowledge discovery of power quality events associated with the grid that takes place at Akal Academy sites, and

To estimate the solar PV output loss (in kWh) due to these power quality events.

The scope of the study includes daily time-series data between November 2018 and November 2020 for four Akal Academy hybrid solar plant sites in Punjab, namely, Balbhera, Bhadaur, Fatehgarh Channa and Talvandi.

The Project objective

The estimated solar PV output loss (in kWh)

The power quality events associated with the grid that affects solar PV output

Therefore, the findings can be leveraged to improve smoothness in the grid to minimise loss of solar PV output.