Open AccessEngineering energy storage sizing method considering the energy conversion loss on facilitating wind power integration
Author(s) -
Cao Minjian,
Xu Qingshan,
Nazaripouya Hamidreza,
Chu ChiCheng,
Pota Hemanshu R.,
Gadh Rajit
Publication year - 2019
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2018.6358
Subject(s) - sizing , dispatchable generation , wind power , smoothing , battery (electricity) , state of charge , computer science , energy storage , controller (irrigation) , control theory (sociology) , power (physics) , control engineering , automotive engineering , engineering , control (management) , electrical engineering , physics , quantum mechanics , art , agronomy , artificial intelligence , visual arts , computer vision , biology
This study, based on a novel control strategy, proposes a sizing method for battery energy storage systems (ESSs), which makes the wind power system more dispatchable. The main objective of the proposed control‐based sizing method is to facilitate robust unit commitment by smoothing the output power of wind according to a desired reference. Owing to the energy conversion loss, the controller closely monitors the battery state of charge (SOC) to prevent the battery from being fully discharged during the smoothing procedure. The proposed controller can automatically revise the battery dispatching reference maintaining the SOC constant. In each dispatch interval, model predictive control is used in real time to ensure that the output power follows the generated reference. The ESS is sized according to the simulation results solved by the proposed control strategy. Meanwhile, the performance of the proposed control strategy is validated over actual wind power data.