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Abstract
In response to the limited working capacity and poor energy interaction efficiency of microgrids, it is now common to use multiple microgrids to form microgrid clusters to enhance the reliability of power supply between each other and further improve the penetration rate of distributed power sources. This article focuses on the energy development method of microgrid groups and the problem of scheduling optimization of integrated energy system is discussed for hot and cold electricity within the microgrid group. Firstly, the basic composition ideas of the electric heating interconnection system, electrical interconnection system, and cold and hot electrical interconnection system within the microgrid group were designed layer by layer, and the functional characteristics of the energy equipment within the microgrid group were clarified. Then, in response to the impact of wind and solar uncertainty on system operation, the goal cascading method and robust stochastic optimization method are used to gradually construct a coupled scheduling model for electric heating, a multi-objective scheduling model for electrical interconnection, and a coordinated scheduling optimization model for cold and hot electrical interconnection. Finally, the effectiveness and applicability of the proposed model were verified through case analysis of the relevant models mentioned above, and key factors were selected for sensitivity analysis, providing reliable methodological support for optimizing the operation of an integrated energy system.
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Authors and Affiliations
School of Computer Science and Technology, Shanghai University of Electric Power, Shanghai, China
Xu Chen & Guixue Cheng
- Xu Chen
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- Guixue Cheng
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Correspondence toGuixue Cheng.
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Editors and Affiliations
University of Macau, Macau, China
Chengzhong Xu
Harbin Engineering University, Harbin, China
Haiwei Pan
Huazhong University of Science and Technology, Wuhan, China
Chen Yu
City University of Hong Kong, Kowloon Tong, China
Jianping Wang
Harbin Engineering University, Harbin, China
Qilong Han
Harbin University of Science and Technology, Harbin, China
Xianhua Song
National Academy of Guo Ding Institute of Data Science, Beijing, China
Zeguang Lu
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Chen, X., Cheng, G. (2024). Collaborative Optimization Scheduling Model for Clean Energy in Microgrid Clusters. In: Xu, C.,et al. Data Science. ICPCSEE 2024. Communications in Computer and Information Science, vol 2213. Springer, Singapore. https://doi.org/10.1007/978-981-97-8743-2_14
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