In the face of increasingly frequent and intense typhoons, the stability of our energy infrastructure is under threat. A recent study published in the journal “Measurement and Control” offers a novel approach to safeguarding integrated electricity-gas systems (IEGS) during these severe weather events, with a particular focus on the fluctuating nature of wind power. The research, led by JIN Haixiang from the School of Electric Power Engineering at Shanghai University of Electric Power, presents a timely solution to a growing challenge in the energy sector.
As typhoons sweep across regions, they bring not only heavy rain and strong winds but also significant disruptions to power and gas networks. The integration of renewable energy sources, particularly wind power, adds another layer of complexity to the equation. “The spatio-temporal characteristics of typhoons and the severe fluctuations in wind power pose unprecedented challenges to the safe and stable operation of IEGS,” explains JIN Haixiang. His team’s research aims to address these challenges head-on.
The study introduces an innovative emergency scheduling method that considers both the migratory patterns of typhoons and the fluctuations in wind power. By establishing a spatio-temporal model of typhoons, the researchers can quantify the time-varying fault characteristics of system components under the influence of wind and rain. This allows for the screening of typical fault scenarios using information entropy theory, a statistical measure of uncertainty.
The proposed double-layer emergency dispatching model operates on two levels. On the upper level, the power system focuses on emergency robust dispatching for high-risk lines under the typhoon’s path. The sub-problem here is to optimize the minimum load loss of the system under the most severe wind power fluctuations at the next moment. On the lower level, the natural gas system provides recovery support for the power side, optimizing the operating state of the gas network under disaster conditions.
To solve this complex model, the researchers employ the adaptive-alternating direction method of multipliers (AT-ADMM) algorithm, a powerful tool for distributed optimization. The effectiveness of the proposed method is demonstrated through a case study, highlighting its potential to enhance the resilience of IEGS during typhoon disasters.
The implications of this research are significant for the energy sector. As the integration of renewable energy sources continues to grow, the need for robust and flexible emergency scheduling strategies becomes ever more critical. “Our method provides a comprehensive framework for managing the complexities introduced by wind power fluctuations and typhoon migration,” says JIN Haixiang. “This can help ensure the stability and reliability of our energy infrastructure in the face of increasingly severe weather events.”
The study’s findings offer a promising avenue for future developments in the field of energy management. By addressing the unique challenges posed by typhoons and wind power fluctuations, this research paves the way for more resilient and adaptive integrated electricity-gas systems. As the energy sector continues to evolve, the insights gained from this study will be invaluable in shaping the future of energy infrastructure and ensuring its stability in the face of natural disasters.