Abstract
In this chapter, an IGES system recovery strategy considering the fault characteristics of natural gas network in the disturbance of extreme disaster events is proposed. Firstly, the general fault stochastic model based on elasticity analysis is used to simulate IGES disturbance caused by extreme disaster events by increasing model probability and harm, and fault propagation is carried out on failure nodes, and extreme disaster event fault scenarios are generated through parameters. Secondly, the time-varying model between the electric power network side, the natural gas network side and the coupling device of IGES is established, as well as the energy storage device of two kinds of energy network which can provide recovery strategy in extreme events. Finally, the IGES recovery optimization model was established to carry out collaborative optimization of the integrated system, and based on the combination of beetle antennae search and particle swarm optimization algorithm, the beetle swarm search was proposed to solve the problem.
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.
