دورية أكاديمية

Estimation of Wind Farm Available Inertia Considering Uncertainty of Wind Speed Distribution and Unit Inertia Transformation

التفاصيل البيبلوغرافية
العنوان: Estimation of Wind Farm Available Inertia Considering Uncertainty of Wind Speed Distribution and Unit Inertia Transformation
المؤلفون: GONG Weizheng, XU Ling, YAO Yin
المصدر: Shanghai Jiaotong Daxue xuebao, Vol 55, Iss S2, Pp 51-59 (2021)
بيانات النشر: Editorial Office of Journal of Shanghai Jiao Tong University, 2021.
سنة النشر: 2021
المجموعة: LCC:Engineering (General). Civil engineering (General)
LCC:Chemical engineering
LCC:Naval architecture. Shipbuilding. Marine engineering
مصطلحات موضوعية: wind speed forecast, copula function, virtual inertia, data driven, Engineering (General). Civil engineering (General), TA1-2040, Chemical engineering, TP155-156, Naval architecture. Shipbuilding. Marine engineering, VM1-989
الوصف: Taking into account the wind speed distribution and correlation, the units in the field are first clustered according to the wind speed distribution, and the wind speed distribution modeling scheme is proposed for practical applications. Then, each area is selected according to the European distance. Finally, considering the uncertainty between wind speed and available inertia, neural network is used to predict the available inertia distribution of each cluster. A wind farm in China is selected as the simulation example. The simulation results show that compared with the equivalent machine method based on average wind speed, the prediction accuracy of the proposed method in the low wind speed range is significantly improved, and the calculation efficiency of the proposed algorithm based on the clustered central unit is higher.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: Chinese
تدمد: 1006-2467
العلاقة: http://xuebao.sjtu.edu.cn/article/2021/1006-2467/1006-2467-55-S2-51.shtmlTest; https://doaj.org/toc/1006-2467Test
DOI: 10.16183/j.cnki.jsjtu.2021.S2.008
الوصول الحر: https://doaj.org/article/7d22b37cd324469f8e1e3fdaf244341dTest
رقم الانضمام: edsdoj.7d22b37cd324469f8e1e3fdaf244341d
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:10062467
DOI:10.16183/j.cnki.jsjtu.2021.S2.008