Distributed optimization of integrated electricity-natural gas distribution networks considering wind power uncertainties.

• A distributed optimization model is proposed for the integrated electricity-natural gas networks. • The proposed model uses boundary consistency constraints to decouple the integrated networks. • P2G and gas turbines are used to deal with uncertainty risks. • P2G and gas storage tanks serve as distributed gas sources for the natural gas network. • The proposed model uses ATC to obtain a rapidly distributed solution. In recent years, the penetration of decentralized wind power generation in distribution networks has increased rapidly, and the uncertainties in wind power generation has posed great challenges on the operation of distribution networks. To this end, this paper establishes a distributed coordinated optimization model of integrated electricity-gas distribution networks considering power-to-gas (P2G) units and gas turbines to deal with the uncertainties of wind power output. First, this paper uses chance constraints to deal with the uncertainties of wind power output and converts it into a linear model that is easy to be solved. Secondly, considering the electricity distribution network and gas distribution network as different stakeholders, optimization models are established with the objectives of minimizing their respective operating costs, and the established models are solved in a distributed manner through the analytical target cascading (ATC). Finally, an integrated electricity-gas distribution system composed of the IEEE 33-node distribution network and 24-node natural gas network is used for simulation, which validate the proposed model and method. [ABSTRACT FROM AUTHOR]