Control Strategy of Hybrid Solar-Wind Power Generation

被引:1
|
作者
Liang, Jia-Ning [1 ,2 ]
Sun, Tian-Fu [1 ,2 ]
Du, Shuai-Xiang [1 ,2 ,3 ]
Pan, Zhong-Ming [1 ,2 ]
机构
[1] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen, Peoples R China
[2] Chinese Univ Hong Kong, Hong Kong, Peoples R China
[3] Guilin Univ Elect Technol, Sch Mech & Elect Engn, Guilin, Peoples R China
来源
2021 24TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2021) | 2021年
关键词
solar-wind power generation; SRG; converter topology; BP neural network; OPTIMIZATION; SYSTEM; PV;
D O I
10.23919/ICEMS52562.2021.9634390
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Control strategy of hybrid solar-wind power generation system with integrated converter was proposed in this paper. A novel switched reluctance generator (SRG) converter topology which integrated energy conversion of wind power and solar power are proposed. Traditionally, wind power and solar power have separated energy flow path in the solar-wind system. However, in the proposed SRG system, the exciting current of SRG was used to build the magnetic field, which can be supported from the solar energy. Except the way of excitation, the solar energy can be charged the bus from the idle phase windings of SRG. The hybrid solar-wind power generation system which eliminates the circulating energy of SRG, uses solar energy as excitation energy to optimize the energy conversion path of the system. The energy conversion efficiency of the system is improved. The BP neural network is used to estimate the switch angle of proposed converter to improve the efficiency of system. The experimental results are done to verify the performance of proposed method.
引用
收藏
页码:2233 / 2238
页数:6
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