Abstract
Machine Learning Based Method for Estimating Energy Losses in Large-Scale Unbalanced Distribution Systems with Photovoltaics
Highlights
THE high increase in the demand for electricity has no longer been satisfied by the non-renewable energy sources [1]
We propose an efficient method for performing time-series simulations for unbalanced power distribution systems with PV
The proposed method is applied to a large-scale unbalanced distribution system with PV grid-connected units
Summary
THE high increase in the demand for electricity has no longer been satisfied by the non-renewable energy sources [1]. Estimation of losses in the distribution systems is affected by the fluctuated output power of renewable energy sources. The impact of photovoltaics (PV) fluctuation cannot be ignored due to its high capacity at the large power grids. The DIGSILENT power factory depends on making a balance between the load and the production of the PV system. When the generation of the PV is more than the load power, the excess power is migrated to the grid. On the other hand, when the load power is more than the PV generation, the excess power is fed by the grid
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