Economic Optimal Scheduling of Microgrid Based on Improved Genetic Algorithm

The microgrid is an important means for distributed power supply to connect to the power grid operation. However, the volatility and randomness of distributed power supply will result in the incomplete absorption of renewable energy, which in turn reduces the operation economy of power grid. To address this problem, taking the minimum of the total cost of grid operation as the objective function and considering the Time-of-use electricity pricing mechanism, photovoltaic power, the optimal dispatching model including wind power, micro gas turbine and energy storage device is constructed, and an improved genetic algorithm is adopted to optimize the output dispatching of each unit. Combined with the engineering case, MATLAB is used to solve this model, and the optimal output of each unit of the microgrid is obtained. The numerical example shows that the model can realize the optimal economic scheduling of microgrid, and the validity of the proposed method is verified.