The emergence of power-to-gas(PtG)technology offers a potential option in absorbing the surplus generation of wind power and other renewable energy sources. However

it is of poor investment efficiency if only the construction investment of PtG plants is carried out owing to high investment and operation costs. Given this background

a collaborative site selection planning model is established

where renewable energy company will be in charge of the co-investment of wind farms and PtG plants. Firstly

the mathematical model of a PtG plant is developed based on its technical features. On this basis

a scenario analysis based collaborative site selection planning model is proposed which maximizes the net investment income considering the constraints of power system and natural gas system. Historical wind speed time series are considered as the original scenarios in scenario optimization

and a density clustering algorithm is introduced in scenario reduction in order to improve computational efficiency. Finally

the AMPL/BONMIN solver is adopted to solve the test case with interconnected electric power and natural gas systems

and the feasibility of the proposed model is verified by the interconnected electric power and gas systems consisted by modified IEEE 39-node power system and Belgium 20-node gas system.