As the development of power to gas(P2G)technology

the coupling between the power grid and the natural gas network become closer and closer. It is possible to achieve large-scale interconnection between these two energy systems. Based on the theory of conditional value at risk(CVaR)

this paper analyzes the operational risk and cost of the integrated natural gas and electricity system caused by wind power uncertainty. Considering the two independent stakeholders composed by the wind power enterprise and the integrated natural gas and electricity system

this paper proposes a bi-level optimal capacity configuration model for P2G facilities. In this model

the objective of upper level is the maximal profit of wind power enterprise

and that of the lower level is the minimum total cost of integrated natural gas and electricity system. Then the proposed model is solved by a hybrid approach based on the genetic-catastrophic algorithm and the interior point method. The simulation system consists of an IEEE 39-bus system and a Belgian 20-bus gas network. The feasibility of configuring P2G facilities to increase the wind power accommodation and decrease the risk of abandoning wind power is verified. Furthermore

the influences of confidence coefficient and cost coefficient for risk of abandoning wind power on P2G configuration strategy and system operation are analyzed.