Coordinated Operation of Multi-Energy Systems for Resilience to Climate-Induced Challenges
Open Access DepositedDownloadable Content
The increasing complexity and interdependence of modern energy systems requireadvanced strategies to ensure their reliability and resilience under environmental and opera- tional stressors. This dissertation develops a comprehensive framework for the coordinated operation of multi-energy systems, integrating power, water, and gas networks while ad- dressing key challenges related to equity, uncertainty, and climate resilience. Extreme heatwaves have become a growing threat to energy infrastructure, particularly for integrated electricity and gas networks. Rising temperatures significantly increase electricity demand due to greater cooling requirements while simultaneously affecting natural gas infrastructure, limiting fuel availability for power generation. These combined stressors heighten the risk of supply shortages, network congestion, and load shedding, making it essential to develop risk-aware operational strategies that enhance system security, efficiency, and fairness in energy distribution during extreme conditions. This dissertation first introduces an optimization framework for the coordinated operation of power, water, and gas networks under both normal and contingency conditions. The proposed approach incorporates DC optimal power flow for electricity networks, hydraulic constraints for water distribution, and gas flow equations for natural gas transmission to improve overall system efficiency and mitigate cascading failures across interdependent infrastructures. Building upon this, an equity-aware load shedding optimization model is developed for interdependent power and gas systems operating under extreme heatwave conditions. Traditional load shedding strategies often overlook social and economic disparities by disproportionately affecting vulnerable regions. The proposed framework addresses this challenge by incorporating regional equity constraints, ensuring a fair and just distribution of load shedding while maintaining system reliability. The model accounts for temperature-driven demand variations and integrates safety considerations to prevent network overloading under rising temperatures. To further enhance the resilience of multi-energy networks under extreme heatwave conditions, this dissertation develops a risk-based operational framework formulated as a two-stage stochastic optimization model. The proposed framework captures the inherent uncertainties of temperature-induced demand fluctuations and supply constraints while optimizing the coordinated operation of multi-energy networks. A risk-aware objective function is employed to minimize expected operational costs while mitigating potential supply shortages and extreme load conditions. Additionally, this work introduces a Tem- perature Resilience Index (TRI) to quantify the resilience of multi-energy systems under varying heatwave intensities. The proposed methodologies are validated using IEEE test systems integrated with multi-node gas networks under realistic heatwave scenarios. The preliminary results show the effectiveness of the proposed model in improving network resilience, reducing operational risks, and improving the adaptability of the energy system to extreme weather events.
- All rights reserved
Notice to Authors
If you are the author of this work and you have any questions about the information on this page, please use the Contact form to get in touch with us.