Academic Journal of Computing & Information Science, 2023, 6(10); doi: 10.25236/AJCIS.2023.061010.
Beijing Institute of Petrol Technology, Beijing, China, 100020
In response to the impact of the increasing proportion of new energy generation in the current microgrid, the application of hybrid energy storage devices to optimize and adjust such microgrids has become a trend. Based on this, the article conducts research on microgrid systems containing a high proportion of wind and photovoltaic power generation, introduces energy storage systems to optimize the microgrid on the existing basis, and determines peak shaving and valley filling, reducing operation and maintenance costs, and reducing electricity costs as the main optimization objectives. Using multi-objective analysis methods for modeling and analysis, targeted optimization of demand response strategies is carried out. From the simulation analysis results, it can be seen that the optimization strategy has basically achieved the expected goals, indicating that this study has potential application value.It is expected to be gradually promoted and applied in the subsequent construction of microgrids.
microgrid; hybrid energy storage; response strategy
Tan Minghao. Research on hybrid energy storage and demand response strategy of high proportion solar energy microgrid. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 10: 66-72. https://doi.org/10.25236/AJCIS.2023.061010.
 Yang Shaobo, Hu Xuekai, Zhou Wen, et al.(2023). Microgrid power smoothing control technology considering multi-hybrid energy storage [J]. Hebei Electric Power Technology, 42 (03): pp.38-44.
 Zhong Yong, Ge Qing, Zhou Wei. (2023).Optimized configuration of hybrid energy storage capacity in off-grid microgrid [J]. Scientific and technological Innovation and Application,13 (17): pp.98-101.
 Wang Wei, Fang Chenzhi, Chen Jian, et al.(2023). Analysis of operation characteristics of landscape storage and micro-grid with hybrid energy storage [J]. Science and Technology Bulletin, 39 (05): pp.57-62.
 Mingcan F,Yuguang Z,Zhiwei W, et al.(2023). Power Source Optimal Configuration Method of New Energy Microgrid Based on Improved Particle Swarm Optimization[J]. Journal of Physics: Conference Series,2418(1).
 Xueqian F,Zhonghui W,Feifei Y, et al. Modelling of agricultural energy internet considering the integration of planting industry and new energy[J]. Frontiers in Energy Research,2022,10.