Xi’an Jiaotong University’s RE Power Flow Density Model Revolutionizes Grid Planning

In the rapidly evolving energy sector, integrating renewable energy (RE) into power systems is becoming increasingly crucial. However, the intermittent nature of renewable sources like wind and solar poses significant challenges. A recent study published in the journal *Engineering* by Qian Yang of Xi’an Jiaotong University and the Northwest Branch of State Grid Corporation of China offers a novel approach to tackle these issues, potentially reshaping how energy systems are planned and operated.

The research focuses on coordinated transmission renewable-storage expansion planning (TRSEP), a method designed to optimize the integration of renewable energy into power grids. “Adequate transmission capacity and energy storage systems (ESSs) are conducive to the integration of RE,” explains Yang. The study introduces a model that tracks the flow of renewable energy through the grid, distinguishing between energy used internally, exported to other systems, and lost in transmission.

One of the key innovations in this research is the definition of “RE power flow density,” a metric that helps track the transmission path of renewable energy. This concept is inspired by the way carbon emissions are tracked, providing a new lens through which to analyze energy flows. “By clearly distinguishing the RE transmission path, we can make more informed decisions about where and how to expand transmission and storage infrastructure,” Yang notes.

The study also addresses the complexity of the TRSEP model, which includes bilinear terms that can be challenging to solve. To overcome this, the researchers applied the McCormick method and designed a customized feasibility correction strategy. This ensures that the model can provide practical and feasible solutions for real-world applications.

The implications of this research are significant for the energy sector. As renewable energy penetration targets become more ambitious, the need for efficient and reliable integration strategies grows. The TRSEP model proposed by Yang and his team could help energy companies and grid operators make better decisions about infrastructure investments, ultimately leading to more stable and sustainable power systems.

Moreover, the focus on tracking renewable energy flows could have broader commercial impacts. By understanding the transmission paths of renewable energy, companies can optimize their operations, reduce losses, and improve the overall efficiency of their systems. This could lead to cost savings and a more competitive edge in the market.

As the energy sector continues to evolve, research like this plays a crucial role in shaping the future of power systems. By providing innovative solutions to complex challenges, scientists and engineers are paving the way for a more sustainable and efficient energy landscape. The study, published in the journal *Engineering*, offers a glimpse into the future of energy planning, highlighting the importance of coordinated efforts in transmission and storage expansion.

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