In a significant advancement for the energy sector, researchers have unveiled a new model designed to optimize the capacity and location of ultra-high-voltage direct current (UHV DC) receiving ends while considering the complexities of carbon emissions trading and the unpredictable nature of renewable energy outputs. This groundbreaking research, led by Lang Zhao from the State Grid Economic and Technological Research Institute Co., Ltd. in Beijing, addresses the urgent need for innovative solutions in the face of expanding renewable energy integration and the challenges posed by AC-DC coupling.
As the demand for sustainable energy sources grows, the integration of wind and solar power into the UHV DC grid has become increasingly vital. However, the inherent unpredictability of these renewable sources creates operational challenges, including DC commutation failures and bipolar blocking. Zhao emphasizes the importance of adapting to these challenges, stating, “The deterministic scenario-based simulations previously used are no longer adequate for the dynamic and complex state of the current grid operation. Our model provides a more accurate representation of the uncertainties involved.”
The research introduces a two-stage optimization model that not only maximizes the carrying capacity of the UHV DC receiving end but also ensures the grid’s safety and stability under both normal and fault conditions. This innovative approach incorporates a stochastic differential equation model to reconstruct time-series power outputs, providing a clearer picture of the variability in renewable energy generation. Moreover, the integration of a carbon emissions trading cost model into the optimization process positions this research at the intersection of economic efficiency and environmental responsibility.
The implications of this model are profound. By enhancing the dynamic frequency support strength of the system and reducing the risk of operational failures, it promises to bolster the reliability of UHV DC systems, which are critical for transmitting large amounts of renewable energy across vast distances. Zhao notes, “Our findings indicate that with a minimum investment, we can achieve a robust and economically viable UHV DC operation, which is essential for meeting China’s carbon neutrality goals.”
This research not only aligns with global efforts to combat climate change but also paves the way for future developments in the energy sector. By addressing the limitations of previous models and emphasizing the importance of carbon trading mechanisms, the study highlights a path toward a more sustainable and economically sound energy landscape.
The findings of this study have been published in ‘Energies,’ which translates to ‘Energies’ in English, and can serve as a valuable resource for policymakers and industry leaders alike. For those interested in exploring the research further, Zhao’s affiliation can be found at State Grid Economic and Technological Research Institute Co., Ltd.. As the energy landscape continues to evolve, research like this will be crucial in shaping the future of sustainable energy systems.
