A recent study led by Hua Li from the Electric Power Research Institute at State Grid Shaanxi Electric Power Co., Ltd. has introduced a novel approach to enhance the security and efficiency of power grids that incorporate pumped-storage power plants. Published in the journal Energies, this research addresses the growing challenges posed by the increasing integration of renewable energy sources into China’s power system.
As China aims to achieve its “dual-carbon” goals, the installed capacity of new energy sources is projected to surpass 800 GW by the end of 2023, accounting for over 30% of the total installed capacity. This rapid growth presents significant challenges to grid stability, making it imperative to optimize power grid operations while ensuring security and resilience.
Li’s research proposes a short-term optimal scheduling method that quantifies security, allowing grid operators to balance the consumption of new energy with economic efficiency. The approach begins with a security evaluation model that assesses grid resilience, followed by the development of a scheduling model that considers both new energy consumption rates and grid losses.
“By building on existing research while introducing new methodologies, this work aims to contribute to more resilient and secure power grid operations,” Li stated. The study employs the Dung Beetle Optimization algorithm, an innovative intelligent optimization technique that dynamically updates evaluation intervals during the scheduling process. This algorithm enables more accurate assessments of grid security levels, ultimately leading to more effective scheduling decisions.
The implications of this research extend beyond the technical realm, offering commercial opportunities for various sectors. Power grid operators can leverage this method to improve operational efficiency and reliability, which is crucial as they integrate more renewable energy sources. Moreover, the findings can inform investment decisions in pumped-storage power plants, which are increasingly recognized as vital components for stabilizing the grid.
Li emphasized the importance of this research in addressing the complexities of modern power systems. “Our proposed model not only meets security constraints but also enhances the grid’s ability to withstand and recover from unexpected disruptions,” he noted. This capability is essential for maintaining a stable power supply in a rapidly evolving energy landscape.
As the energy sector continues to transition towards more sustainable practices, the insights from this study provide a pathway for improving the resilience of power grids. The integration of pumped-storage power plants, supported by effective scheduling methods, can help mitigate the risks associated with high levels of renewable energy penetration.
The findings of this research are expected to influence future developments in power grid management and optimization strategies, ultimately supporting a more secure and economically viable energy system. The study is a significant contribution to the ongoing discourse on energy transition and grid resilience, as highlighted in the publication in Energies.
