In a groundbreaking study published in ‘Shanghai Jiaotong Daxue xuebao’ (Journal of Shanghai Jiao Tong University), researchers have unveiled an innovative multi-objective optimization strategy that combines wind, photovoltaic, and pumped storage systems to enhance energy generation efficiency. The collaborative effort by ZHANG Liang and colleagues from the School of Electrical Engineering at Northeast Electric Power University and the Southern Power Grid Energy Development Research Institute aims to address the inherent challenges posed by renewable energy sources, which are often characterized by randomness and volatility.
The integration of pumped storage power plants is a game-changer in this context. By smoothing out the fluctuations in energy supply from wind and solar sources, the system not only stabilizes grid connection but also maximizes economic returns for power stations. “Our model effectively improves the economic benefits of the system while significantly reducing power fluctuation,” ZHANG Liang stated, emphasizing the dual advantages of financial viability and reliability in energy supply.
The researchers employed the gray wolf algorithm, a sophisticated optimization technique that balances local and global search strategies, to transform a complex multi-objective problem into a more manageable single-objective framework. The results demonstrate that this approach not only enhances the economic performance of the combined power generation system but also contributes to substantial reductions in carbon emissions. “The efficient use of new energy sources greatly enhances our capacity to reduce carbon emissions, showcasing the model’s high feasibility,” ZHANG added.
The implications of this research extend beyond mere academic interest; they hold significant commercial potential for the energy sector. As countries strive to meet ambitious carbon reduction targets, the ability to optimize renewable energy systems could become a critical factor in the transition to sustainable energy. By maximizing the output and minimizing the waste of renewable resources, energy providers can enhance their profitability while contributing to environmental stewardship.
This study paves the way for future developments in energy optimization strategies, suggesting that similar models could be applied to other forms of renewable energy integration. As the world shifts towards cleaner energy solutions, the findings of ZHANG and his team may well serve as a blueprint for more resilient and economically viable energy systems.
For more insights into this pioneering research, you can explore the work of the lead author and his team at the School of Electrical Engineering, Northeast Electric Power University.
