Engineering energy storage sizing method considering the energy conversion loss on facilitating wind power integration. Issue 9 (23rd April 2019)

• Record Type: Journal Article
• Authors: Cao, Minjian; Xu, Qingshan; Nazaripouya, Hamidreza; Chu, Chi‐Cheng; Pota, Hemanshu R.; Gadh, Rajit
• Is Part Of: IET generation, transmission & distribution. Volume 13:Issue 9(2019)
• Page Start: 1693
• Page End: 1699
• Publication Date: 2019-04-23
• Subjects: power generation scheduling -- battery storage plants -- power generation control -- power generation dispatch -- wind power -- power generation reliability -- wind power plants -- predictive control; robust unit commitment -- output power -- desired reference -- energy conversion loss -- smoothing procedure -- dispatch interval -- model predictive control -- generated reference -- actual wind power data -- wind power integration -- sizing method -- battery energy storage systems -- wind power system -- engineering energy storage sizing method -- control strategy -- control‐based sizing method; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2018.6358
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : 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.