دورية أكاديمية

Two-Stage Optimal Configuration of Microgrid Based on Fuzzy Scene Clustering

التفاصيل البيبلوغرافية
العنوان: Two-Stage Optimal Configuration of Microgrid Based on Fuzzy Scene Clustering
المؤلفون: MI Yang, LI Haipeng, CHEN Boyang, PENG Jianwei, WEI Wei, YAO Yan
المصدر: Shanghai Jiaotong Daxue xuebao, Vol 57, Iss 9, Pp 1137-1145 (2023)
بيانات النشر: Editorial Office of Journal of Shanghai Jiao Tong University, 2023.
سنة النشر: 2023
المجموعة: LCC:Engineering (General). Civil engineering (General)
LCC:Chemical engineering
LCC:Naval architecture. Shipbuilding. Marine engineering
مصطلحات موضوعية: microgrid, fuzzy scenario clustering, robust optimization, optimal configuration, Engineering (General). Civil engineering (General), TA1-2040, Chemical engineering, TP155-156, Naval architecture. Shipbuilding. Marine engineering, VM1-989
الوصف: Aimed at the impact of extreme weather on the stable operation of microgrid, an optimal configuration strategy of microgrid based on fuzzy scene clustering is proposed. Using historical weather data, a fuzzy scene clustering method is used to deal with the problem of new energy output fluctuations caused by random weather on the source side, and a robust optimization model is established on the load side to deal with load fluctuations within a certain range. Using scenes of 8 760 hours in a year, typical scenes and extreme scenes are obtained by distinguishing the unique membership characteristics of fuzzy scene clusters. Considering the impact of extreme scenarios on the optimal configuration of the microgrid, a two-stage robust model with the smallest comprehensive cost is established, which is decomposed by the column and constraint method, and is finally solved iteratively by Cplex solver. The effectiveness and feasibility of the proposed optimal configuration strategy are verified by simulation analysis.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: Chinese
تدمد: 1006-2467
Relation: https://xuebao.sjtu.edu.cn/article/2023/1006-2467/1006-2467-57-9-1137.shtml; https://doaj.org/toc/1006-2467
DOI: 10.16183/j.cnki.jsjtu.2022.090
URL الوصول: https://doaj.org/article/fd3397c2eb58409cb1589dde54e59f3f
رقم الأكسشن: edsdoj.fd3397c2eb58409cb1589dde54e59f3f
قاعدة البيانات: Directory of Open Access Journals