Two-stage Robust Optimal Scheduling for Microgrids

As the penetration of renewable energy increases, the uncertainty on its source side becomes more prominent, which poses a great challenge to the optimal dispatch of microgrids the uncertainty on the source and load sides brings great challenges to the optimal scheduling of microgrid. How to ensure the optimality of the scheduling scheme, and improve the utilization rate of renewable energy is the key to microgrid. In this regard, This paper proposes a Iwo -stage robust optimal scheduling model. The first stage is the pre-scheduling, minimizing day-ahead operation cost and formulating scheduling scheme. The second stage is the re-scheduling, which aims to identify the worst scenario of uncertain variables and test the feasibility of the pre-scheduling scheme. In view of the deficiencies of most existing two -stage solution algorithms in terms of solution accuracy and number of iterations, this paper applies the column -and -constraint generation method to the solution of the above Iwo -stage optimization model, and decomposes the model into a main problem and a subproblem, which to be solved by interactively and iteratively. Finally, a variety of schemes are set in a electricity-gas-heatl microgrid to verify the effectiveness of the proposed model. The results show that the scheduling scheme obtained in this paper has a good economy and robustness, and can reduce the risk of wind abandonment and load shedding.