Research on situation awareness of electricity-gas coupling network based on a heterogeneous data model

Abstract

Open interaction between the power system and the natural gas network, realizing the multi-energy flow, not only brings scientific management and optimal operation of energy but also increases the complexity of situation awareness due to energy conversion between independent energy networks. Therefore, this paper proposes a heterogeneous data model-based method embedding the characteristics of a coupling network for situation awareness of the multi-dimensional electricity-gas coupling network to achieve rapid analysis. First, considering the interaction between subnetworks and the change in the corresponding detection variables, the heterogeneous data model is developed to depict the time response characteristics of different subnetworks. Then, by the normalization and functional transform by the proposed model, a covariance matrix is obtained to improve the sensitivity to the node-data change. Furthermore, the situation awareness of a coupling network is transformed into the degree analysis regarding the spectral difference value of a random matrix. Moreover, the changed node is obtained from the maximum eigenvector value of spectral distribution using the network situation change, completing the process of situation awareness. Finally, the feasibility and effectiveness of the proposed method are verified by different situation changes in the electricity-gas coupling network.