Abstract
Multi-carrier energy systems meet the needs of customers in different forms of energy. Given that these systems cover a large number of customers, it is very important to improve their resilience in emergency conditions. Hence, this paper presents a mixed-integer non-linear programming (MINLP) framework to enhance the resilience of multi-carrier energy systems integrated with electricity-gas-heating networks. In this regard, residential, commercial and industrial energy hubs with different load supply priorities, wind turbines and power to gas (P2G) technologies are considered in the model. In the proposed model, the system operator is capable to enhance system resilience under emergency conditions through automatic switching and implementing the direct load control (DLC) program. In this model, the scenario-based method is utilized to deal with load demand, wind speed, and solar radiation uncertainties. The proposed model is implemented on both medium-scale and large-scale systems and is solved by DECOPT solver in GAMS software. The results indicate that automatic switching reduces the load shedding by 84.17% during the outage of the line. The results also illustrate that the DLC program has reduced load shedding at high priority loads by about 66%. Finally, the high impact of storage systems and P2G technology on enhancing system resilience has been proven.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
