Energy dynamic optimization model research for off-grid run micro grid

The off-grid run micro grid can give full play to the efficiency of the distributed generations, and can be used as the beneficial supplement of interconnected power grid. On the basis of analyzing the typical power supply constraints, the energy optimization model is established in order to most low running cost maximizing the use of wind and solar energy as the principle. Typical day energy scheduling strategy is used for dynamic optimization of micro power using real number coding genetic algorithm. The simulation results show that the method can select the optimal dynamic unit commitment in the real time, according to the prevailing conditions of the natural resources and the load change then to achieve the economic operation of the system.