## 5 Conclusions  
According to the operation state of a wind-photovoltaic-storage electric vehicle microgrid connected to the grid in a certain area, a time-sharing scheduling strategy is designed in this paper; furthermore we established the minimum cost objective function according to economic requirements and constraints, such as wind and light abandonment. Meanwhile, a QMA algorithm is innovatively proposed and applied to the solution of the objective function. In summary, the main conclusions of this paper are expressed as follows:  
1. The SOC of the EV and battery is taken as a scheduling object, and it is scheduled in combination with the current period, thereby obtaining the interaction power between the flexible equipment and microgrid. Furthermore, the output power of wind and photovoltaic generation is limited within the empirical value and, accordingly, the energy waste caused by wind and light abandonment is reduced. This scheduling method not only reduces energy waste but also decreases the system cost by about 60%;
2. On the basis of the MA, the quantum idea is introduced, and the QMA is proposed. Comparing the performance of the QMA with six other intelligent algorithms in typical functions optimization, the superiority of the QMA is clearly seen. Meanwhile, the QMA is applied to the objective function established in this paper. The cost of the system can be reduced by about 2%, which is considerable for the microgrid system.  
In future research, new energy devices need to be taken into account, and the robustness of the system should also be paid attention to because of the increasing complexity of the system. Meanwhile, in order to make managers more intuitive, namely to understand the operation state of the system, the connection between information management and the physical layer should be strengthened. It is necessary to study the use of hierarchical scheduling, source and charge interactions, and other methods to meet the needs of different managers.  
Figure 14: Microgrid operation cost after time-sharing scheduling.  
\begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline \multirow{2}{*}{**Type Iterations**} & \multicolumn{4}{c}{**Time-Sharing Scheduling**} & \multicolumn{4}{c}{**Normal Scheduling**} \\ \cline{2-9}  & \multicolumn{2}{c}{**QMA**} & \multicolumn{2}{c}{**MA**} & \multicolumn{2}{c}{**QMA**} & \multicolumn{2}{c}{**MA**} \\  & **100** & **500** & **100** & **500** & **100** & **500** & **100** & **500** \\ \hline Mean(RMB) & 1460.53 & 1310.10 & 1498.17 & 1328.32 & 3078.50 & 3073.22 & 3098.10 & 3093.96 \\ Var & 833.71 & 718.22 & 3080.84 & 761.05 & 23.83 & 9.13 & 6.14 & 5.76 \\ STD & 28.87 & 26.79 & 55.50 & 27.58 & 4.88 & 3.02 & 2.47 & 2.40 \\ \hline \hline \end{tabular}
\end{table}
Table 8: The cost of microgrid.  
**Author Contributions:** [PERSON] wrote the manuscript, designed the scheduling strategy, drew the flow chart and table, and performed the simulation experiment and analysis. [PERSON] supervised the study, helped obtain data, and checked the contents of the manuscript. [PERSON] verified the simulation data and contributed to the writing and typesetting of the manuscript. [PERSON] provided practical suggestions and evaluated the feasibility of the application. All authors have read and agreed to the published version of the manuscript.  
**Funding:** This work was Supported by the Natural Science Foundation of China under Grant No. 61563045.  
**Institutional Review Board Statement:** Not applicable.  
**Informed Consent Statement:** Not applicable.  
**Data Availability Statement:** Not applicable.  
**Acknowledgments:** Thanks to the electric power enterprises in Liaoning Province for providing data support for this research.  
**Conflicts of Interest:** The authors declare no conflict of interest.