Multi-objective stochastic optimization planning method based on microgrid

Abstract

For micro-grid system optimization design, in the process of considering the uncertain problems, such as wind speed, illumination, based on chance constrained programming is the proposed multi-objective stochastic optimal planning method, the method in for solving the stochastic problem into a deterministic problem, effective and considering the random micro-renewable resources in the grid and load of volatility, NSGA-II algorithm was used to solve the multi-objective stochastic optimal programming model. Finally, an example of optimal planning and design of microgrid is given to verify that the proposed method and algorithm are reasonable and effective. It is of great significance to improve the operation security and reliability of microgrid and ensure the safe and reliable operation of the power grid.