In a significant stride towards enhancing the integration of solar power into our electrical grids, researchers have developed a novel approach to maximize the hosting capacity of photovoltaic (PV) systems in distribution networks. This breakthrough, published in the journal “IEEE Access” (translated as “IEEE Open Access”), could have profound implications for the energy sector, particularly in optimizing the use of renewable energy sources and improving grid efficiency.
The study, led by Jairo Yumbla from the Department of Electrical Engineering at São Paulo State University in Brazil, introduces a mixed-integer linear programming (MILP) model. This model is designed to maximize PV-based hosting capacity in unbalanced and active distribution networks, taking into account the controlled charge of electric vehicles (EVs) and incorporating demand-response programs (DRP) for demand-side load shifting.
“The model’s solution determines the optimal operation of distributed generators, switched capacitor banks, energy storage devices, coordination of the EVs charging, and DRP,” Yumbla explained. This integrated approach ensures that the distribution network operates at its highest efficiency, accommodating more solar power than previously thought possible.
The researchers tested their model on a 123-bus, three-phase unbalanced distribution system, conducting four case studies to assess the effect of different distributed energy resources (DERs). The results were impressive. “The simultaneous optimization of DERs, EVs charging, and DR scheduling can significantly increase the PV-based hosting capacity—reaching more than the substation capacity—while reducing total power losses,” Yumbla noted.
This research highlights the technical potential of integrated DER coordination in enhancing PV penetration and improving the operational efficiency of active distribution systems. For the energy sector, this means a more robust and flexible grid capable of handling higher levels of renewable energy, which is crucial as we transition towards a more sustainable energy future.
The commercial impacts of this research are substantial. Utilities can leverage this model to optimize their distribution networks, reducing power losses and increasing the amount of solar energy they can integrate. This not only supports the growth of renewable energy but also enhances the reliability and efficiency of the grid. Moreover, the integration of EVs and demand-response programs can provide new revenue streams and cost-saving opportunities for both utilities and consumers.
As we move towards a future powered by renewable energy, innovations like this are essential. They pave the way for a more resilient and efficient energy infrastructure, capable of meeting the demands of a rapidly evolving energy landscape. The work of Yumbla and his team is a testament to the power of advanced modeling and optimization techniques in driving the energy transition forward.