Abstract:In order to deal with the impact of wind power uncertainty on the optimal scheduling of the integrated microgrid-natural gas network systems, the wind power extreme scenario is introduced to describe the arbitrary wind power fluctuation within the wind power intervals. Besides, the scheduling optimization model of the integrated microgrid -natural gas systems is constructed based on wind power extreme scenario to ensure the security of systems. In addition, this paper further proposes a five level optimal scheduling model to cope with the uncertainty of wind power from three time scales including the medium and long term time scale, day ahead time scale and real-time time scale, which can greatly improve the ability of absorbing wind power. In order to solve the proposed multi-layer optimal scheduling model, the Lagrange factor is introduced, and a multi-layer transformation algorithm based on KKT (karush – Kuhn Tucker) condition is proposed. Thus, the multi-layer model can be transformed into a single-layer optimization mathematical model, which can be effectively solved. Finally, the paper takes a typical integrated microgrid-natural gas system as an example to verify the effectiveness and superiority of the proposed method by comparing the proposed method with the deterministic scheduling model and the typical stochastic optimization scheduling model.