A Rolling-horizon Scheduling Method for Integrated Electricity-gas Distribution Network Based on Information Gap Decision Theory

To full play to the advantages of integrated electricity-gas distribution network, a multi-energy coordinative optimization scheduling method based on information gap decision theory (IGDT) was proposed. Firstly, the second-order conic program (SOCP) formulation was developed to capture the energy flows of power distribution network and natural gas delivery system, and the multi-energy coordination and synergetic conversion were employed as an important measure to enhance the operational flexibility. Secondly, following the cost-minimization principle, a deterministic scheduling model was constructed for the integrated electricity-gas distribution network. Thirdly, to handle the uncertainty of renewable energy (RE) generation and multi-energy load variation, a multi-energy collaborative rolling-horizon scheduling method based on information-gap decision theory, which helped to yield the time-varying dynamic bounds for the risk-tolerance on RE forecast errors, was developed. Finally, the proposed model and scheduling approach were tested on an exemplary electricity-gas distribution network based on IEEE 30-Bus power system and Belgium 20-Bus natural gas delivery network. As indicated by the numerical results, the proposed rolling-horizon scheduling method based on IGDT achieves the full advantages of multi-energy complementary. Also, different from the traditional rolling-horizon method, the proposed method is less sensitive to RE forecast errors, which effectively improves systems’ risk-hedging ability to uncertain risks, and thus makes a trade-off between robustness and operational economics.