Frequency control strategy of multi‐area hybrid power system based on frequency division and sliding mode algorithm. Issue 7 (27th March 2019)

• Record Type: Journal Article
• Authors: Mi, Yang; He, Xingtang; Hao, Xuezhi; Li, Zhenkun; Fu, Yang; Wang, Chengshan; Wang, Jianhui
• Is Part Of: IET generation, transmission & distribution. Volume 13:Issue 7(2019)
• Page Start: 1145
• Page End: 1152
• Publication Date: 2019-03-27
• Subjects: observers -- energy storage -- battery storage plants -- hybrid power systems -- frequency control -- load regulation -- power generation control -- variable structure systems -- power system stability; frequency control strategy -- frequency division -- sliding mode algorithm -- multiarea hybrid power system stable operation -- load frequency control -- battery energy storage system -- area control error -- low‐frequency components -- high‐frequency components -- low‐frequency deviation -- high‐frequency disturbance -- frequency quality -- renewable energy penetration -- battery capacity -- active power disturbance -- disturbance observer; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2018.5145
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : For renewable energy penetration, a frequency control strategy is proposed to assure the multi‐area hybrid power system stable operation. The load frequency control (LFC) and the battery energy storage system (BESS) are used together to design the frequency control strategy. Furthermore, in order to improve the control accuracy and reduce the battery capacity, the area control error and active power disturbance are divided into low‐frequency components and high‐frequency components. Therefore, LFC is designed by using sliding mode algorithm for the low‐frequency deviation and BESS is adjusted by using the designed disturbance observer for the high‐frequency disturbance. Finally, the effectiveness of the proposed frequency control strategy is proved by the real‐time digital simulator which can optimise the frequency quality and reduces the capacity of the BESS.