Resilient Strategy of Integrated Gas - Electric System under Extreme Event via Beetle Swarm Search

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.