Open AccessCoordinated control strategy of hybrid energy storage to improve accommodating ability of PV
Author(s) -
Zhang Delong,
Guo Jianbo,
Li Jianlin
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0592
Subject(s) - photovoltaic system , computer science , energy storage , battery (electricity) , automotive engineering , scale (ratio) , power (physics) , particle swarm optimization , control (management) , control theory (sociology) , reliability engineering , engineering , electrical engineering , algorithm , physics , quantum mechanics , artificial intelligence
The energy storage system of PV power plant can improve the accommodating ability of photovoltaic (PV) generation. The coordinated control of hybrid energy storage system (HESS) becomes one of the urgent problems to be solved. This study proposes a coordinated control strategy of HESS with complementary features to improve the accommodating ability of PV. In the 1 min time scale, a time window selection method is proposed to control the super conductor to smooth the short‐term fluctuation of the PV. In the 1 h time scale, the lithium‐ion battery output model maximising the system economic benefit is established, and the particle swarm optimisation algorithm is used to solve the model. Based on the result of 1 h time scale, the objective function of reducing the fluctuation of electric power consumption is established and solved on the 15 min time scale. The effectiveness of the proposed control strategy is verified by simulation. The coordinated operation of HESS improves the utilisation rate of the PV power generation.