An Energy Storage Performance Improvement Model for Grid-Connected Wind-Solar Hybrid Energy Storage System

المؤلفون المشاركون

Zhu, Rui
Zhao, An-lei
Wang, Guang-chao
Yang, Yaopan
Xia, Xin

المصدر

Computational Intelligence and Neuroscience

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-08-28

دولة النشر

مصر

عدد الصفحات

10

التخصصات الرئيسية

الأحياء

الملخص EN

This study introduces a supercapacitor hybrid energy storage system in a wind-solar hybrid power generation system, which can remarkably increase the energy storage capacity and output power of the system.

In the specific solution, this study combines the distributed power generation system and the hybrid energy storage system, while using the static reactive power compensation system and the conductance-fuzzy dual-mode control method to increase output power in stages.

At the same time, the optimal configuration model of the wind-solar hybrid power generation system is established using MATLAB/Simulink software.

The output power of the microgrid to the wind-photovoltaic hybrid power generation system is calculated by simulation, and the optimization process of each component of the system is simulated.

This study mainly uses the static reactive power compensation system and the conductance-fuzzy dual-mode control method to optimize the wind-solar hybrid power generation system.

Using MATLAB software simulation verifies the feasibility and rationality of the optimal configuration of the system.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Zhu, Rui& Zhao, An-lei& Wang, Guang-chao& Xia, Xin& Yang, Yaopan. 2020. An Energy Storage Performance Improvement Model for Grid-Connected Wind-Solar Hybrid Energy Storage System. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1138950

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Zhu, Rui…[et al.]. An Energy Storage Performance Improvement Model for Grid-Connected Wind-Solar Hybrid Energy Storage System. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1138950

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Zhu, Rui& Zhao, An-lei& Wang, Guang-chao& Xia, Xin& Yang, Yaopan. An Energy Storage Performance Improvement Model for Grid-Connected Wind-Solar Hybrid Energy Storage System. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1138950

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1138950