Abstract: With the development of integrated energy system (IES)， the interaction among energy stations， networks and loads is closer. Therefore， it is more reasonable to consider different types of load demand and the coupling of energy equipment when coordinating the capacity， location and grid structure of energy stations in IES planning. On the basis of the power-heat-gas multi-energy flow， this paper establishes a two-level model of station-network cooperative planning. The upper-level model is an improved p-median model to minimize the construction and operation cost of energy stations and three-network pipelines. The loss cost of electric， heating and gas networks calculated by the power-heat-gas multi-energy flow is added to the energy distance， and the decision variables are the location， capacity of energy stations and grid structure. The lower-level model is a multi-objective optimization model considering economy， environmental protection and reliability of energy supply. The output values are dispatched to the multi-energy flow as initial data. The greedy-variable neighborhood cobweb (GVNC) algorithm and the improved MOPSO algorithm are used to solve the model， which can improve the computational efficiency and obtain the global optimal solution. The effectiveness of the proposed model and algorithm is verified by an example.

Key words: energy station, multi-energy flow, energy distance, network layout, greedy-variable neighborhood cobweb (GVNC） algorithm