Open AccessResearch on optimal storage capacity of DC micro‐grid system in PV station
Author(s) -
Wu Ming,
Sun Li Jing,
Zhang Hai,
Wang Wei,
Luo Guo Min
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0452
Subject(s) - photovoltaic system , energy storage , grid , renewable energy , computer science , battery (electricity) , capacity optimization , randomness , automotive engineering , nameplate capacity , electrical engineering , reliability engineering , power (physics) , electricity generation , engineering , mathematics , statistics , physics , geometry , quantum mechanics
Existing methods to determine the battery bank capacity of micro‐grid composed of photovoltaic (PV) generation and energy storage device are classified and summarised. In the viewpoint of peak load filling and implementing continuous power supply by independent and grid‐connected micro‐grid composed of PV generation and energy storage device, the method for optimal configuration of battery bank capacity is researched. A method of optimising the storage capacity of DC micro‐grids considering the randomness of PV and load is proposed to maximise the local absorption of renewable energy. Based on the K‐means algorithm, the engineering selection basis of PV and storage capacity in DC micro‐grid system is given, and its economic benefit is evaluated. Finally, the efficiency and economy of the energy storage capacity selection method are verified by practical application of 31.5 MW PV power station in Badaling, Beijing.