Research On Two-stage Robust Optimal Scheduling Of Multiple Complementary Micro Grid

To increase the penetration of distributed generation units in the power grid,microgrid technology came into being.The distributed renewable energy output has strong randomness,coupled with the further promotion of demand response strategy,the uncertainty on the source and load sides is more prominent.The current prediction technology based on artificial intelligence has great advantages in data processing and model expression,but the prediction accuracy cannot yet meet the scheduling needs of microgrids with renewable energy access.How to ensure the optimality of the scheduling scheme,and improve the utilization rate of renewable energy is the key to the optimal scheduling of the microgrid.The robust optimization method considers the fluctuations of uncertain parameters in advance,and the obtained optimal solution has strong anti-interference and is widely concerned.In the current research on microgrid robust optimization schedulingr there are still problems with strong conservative and the inability to improve the capacity of renewable energy consumption.The two-stage robust optimal scheduling is a feasible method to solve the above problems,and the in-depth study of it will have important theoretical value and practical significance.Firstly,this paper analyzes the output characteristics of distributed wind power,photovoltaic,and load in the microgrid,and proposes a variety of uncertain factors in the optimal scheduling of the microgrid.In order to solve the optimal scheduling problem under the above uncertain factors,a robust optimization method is introduced.Secondly,the two-stage robust optimization scheduling method of microgrid considering demand response is studied,and a two-stage min-max-min optimization model is constructed.In the pre-scheduling stage formulates the optimal scheme of each distributed generation output,the demand response load operation,and the reserve capacity settings based on the predicted values of the source and load sides.The re-scheduling stage aims to identify the "worst" scenario of uncertain variables and test the feasibility of the pre-scheduling decision scheme in this scenario.Then,taking the test the feasibility of the pre-scheduling decision scheme in this scenario.Then,taking the integrated energy system as the development background,considering the coordinated optimization of multiple energy sources,the two-stage robust optimization scheduling method of the electricity-gas-heat co-generation microgrid is studied.The pre-dispatching stage formulates the optimal plan for system energy purchase and multi-energy coupling equipment output based on the predicted values of the source and load sides.The re-scheduling stage is to cope with fluctuations in uncertain variables through quickly adjust the output of the combined heating and power and other units.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 two-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 typical microgrid system to verify the effectiveness of the proposed method.The results show that the scheduling scheme obtained in this paper has a good economy and robustness,and can reduce the risk of wind/photovoltaic abandonment and load shedding.