Xiong Li

3 weeks ago | 4spepublications.onlinelibrary.wiley.com | Xiaohui Yang |Nanotechnology College |Xiong Li |Shuaishuai Zhou |Tongle Xu |Peng Ding

Conflicts of Interest The authors declare no conflicts of interest. Supporting Information Filename Description pc30138-sup-0001-Supinfo.docxWord 2007 document , 1.9 MB Table S1. The addition weight ratio of each component in the ISP-PFG composites. Figure S1. TGA curves of GNP, FG, and ISP-FG masterbatch. Figure S2. (a, b) Cross-section of SEM images of ISP-PG composites. Figure S3. XRD pattern of PA6 matrix. Figure S4. (a, b) Topography of 3D image and floor plan of PA6 matrix.

Jul 11, 2024 | nature.com | Xiong Li |Chaoliang Wang

The original load control model of microgrid based on demand response lacks the factors of incentive demand response, the overall satisfaction of users is low, the degree of demand response is low, the Time Of Use (TOU) price of peak-valley filling capacity is weak, and the peak-valley difference of load curve is large. Regarding the limitations of the current microgrid demand response model, this study further optimizes the flexible load control strategy and proposes a two-objective optimization model based on price and incentive. Meanwhile, the model is solved using an improved chaotic particle group algorithm. Finally, the microgrid load data were selected for simulation analysis. The simulation results showed that the comprehensive demand response of flexible control model proposed increased the overall satisfaction of users by 9.51%, the overall operating cost of microgrid suppliers decreased by 12.975/ten thousand yuan, the peak valley difference decreased by 4.61%, and the user demand response increased by 27.24%. The model effectively improves the overall profit of the supply side of the microgrid, improves the user satisfaction, and maximizes the linkage benefits of the supply and demand of the micro grid. In addition, the model effectively reduces the phenomenon of distributed power supply in the microgrid, and realizes the supply and demand matching of the whole load in the microgrid.