Economic development means energy consumption, and the damage to the environment is becoming more and more serious. With the rise of the fourth industrial revolution, the green revolution is quietly coming, and pollution-free energy is very popular. However, the randomness of its output fluctuates when the grid is connected. The emergence of microgrids facilitates the access and management of distributed power sources. This paper aims to study the optimization method of microgrid economy and financial security based on HSMOPSO algorithm, and expects to optimize the operation of microgrid system with the help of HSMOPSO algorithm to ensure the stability of power supply. The simulation proves that the particle swarm algorithm can effectively reduce the operating cost of the microgrid and transfer the peak load. A multi-objective optimization model with minimum voltage deviation, load power shortage rate and energy storage capacity is established to verify the effectiveness of the particle swarm optimization algorithm. For the distributed dynamic economic dispatch problem of distribution network with multiple microgrids, different from the island mode, the microgrid needs to exchange power with the distribution network after it is connected to the grid. The experimental results show that under the HSMOPSO optimization algorithm, the operation of the microgrid system costs a total of 15 yuan, and under other algorithms, the operation of the microgrid system costs a total of 123 yuan. It can be seen that the operating cost required by the optimal scheduling using the HSMOPSO algorithm is much lower than that required by other algorithms. The scheduling is more reasonable, and the system runs more economically.
