A Computational Model for Net-Metering Billing Optimization Using Python for Grid Economic Stability
DOI:
https://doi.org/10.32350/icr.52.04Keywords:
Net-metering, Smart Grid, distribution generator (DG), PythonAbstract
Increasing trends towards the installation of Solar Photovoltaics (PV), as a renewable source, have gained popularity with the injection of energy into the grid system. Besides its advantages, it has also raised many concerns including technical as well as economic problems. Different models of billing this ‘import’ and ‘export’ of energy units are in use to calculate charges of electricity. Grids are becoming economically unstable due to the absence of limitations or putting conditions on injection of energy by distribution generators (DGs). This is not helpful for the grid network in terms of earnings and hence, becoming difficult for distribution companies to maintain their grid. Therefore, the proposed study aimed to address these challenges by developing strategies to ensure grids' economic sustainability and distribution companies' economic sustainability. The research utilized Python for modeling and analysis, enabling accurate simulations of billing mechanisms, energy flows, and their impacts on grid economics.
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Copyright (c) 2026 Osama Majeed Butt, Usama Arif, Ali Tahir
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