Novel Distributed Optimal Control of Battery Energy Storage System in an Islanded Microgrid with Fast Frequency Recovery
Highly intermittent renewable energy sources pose new challenges to microgrid operation and control. Thus, many distributed control strategies have been proposed to solve this problem. However, for most previous studies, the system frequency fluctuation can be further controlled on the basis of the...
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doaj-ea6b62a98ca744fe8064361b40928b4d2020-11-25T01:08:07ZengMDPI AGEnergies1996-10732018-07-01118195510.3390/en11081955en11081955Novel Distributed Optimal Control of Battery Energy Storage System in an Islanded Microgrid with Fast Frequency RecoveryXiao Qi0Yan Bai1Huanhuan Luo2Yiqing Zhang3Guiping Zhou4Zhonghua Wei5School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, ChinaSchool of Control and Computer Engineering, North China Electric Power University, Beijing 102206, ChinaState Grid Liaoning Electric Power Supply Co., Ltd., Shenyang 110004, ChinaSynergy Innovation Center for Energy Economics of Shandong, Shandong Institute of Business and Technology, Yantai 264005, ChinaState Grid Liaoning Electric Power Supply Co., Ltd., Shenyang 110004, ChinaState Grid Liaoning Electric Power Supply Co., Ltd., Shenyang 110004, ChinaHighly intermittent renewable energy sources pose new challenges to microgrid operation and control. Thus, many distributed control strategies have been proposed to solve this problem. However, for most previous studies, the system frequency fluctuation can be further controlled on the basis of the optimal control strategy. This paper proposes a novel distributed optimal control strategy of a battery energy storage system in an islanded microgrid to provide desired optimal control performance and fast frequency recovery. The proposed control strategy is implemented through a multi-agent system based on consensus algorithm, which only requires information collected through a local communication network. Furthermore, the measurement of supply–demand mismatch is replaced by the control signal obtained from a supplementary controller with the improved linear active disturbance rejection control algorithm. The stability of microgrid frequency can be greatly enhanced through this improvement. Finally, the validity of proposed method is demonstrated by various case studies which are given in this paper.http://www.mdpi.com/1996-1073/11/8/1955distributed optimal controlislanded microgridbattery energy storage systemlinear active disturbance rejection controlfrequency recovery |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xiao Qi Yan Bai Huanhuan Luo Yiqing Zhang Guiping Zhou Zhonghua Wei |
spellingShingle |
Xiao Qi Yan Bai Huanhuan Luo Yiqing Zhang Guiping Zhou Zhonghua Wei Novel Distributed Optimal Control of Battery Energy Storage System in an Islanded Microgrid with Fast Frequency Recovery Energies distributed optimal control islanded microgrid battery energy storage system linear active disturbance rejection control frequency recovery |
author_facet |
Xiao Qi Yan Bai Huanhuan Luo Yiqing Zhang Guiping Zhou Zhonghua Wei |
author_sort |
Xiao Qi |
title |
Novel Distributed Optimal Control of Battery Energy Storage System in an Islanded Microgrid with Fast Frequency Recovery |
title_short |
Novel Distributed Optimal Control of Battery Energy Storage System in an Islanded Microgrid with Fast Frequency Recovery |
title_full |
Novel Distributed Optimal Control of Battery Energy Storage System in an Islanded Microgrid with Fast Frequency Recovery |
title_fullStr |
Novel Distributed Optimal Control of Battery Energy Storage System in an Islanded Microgrid with Fast Frequency Recovery |
title_full_unstemmed |
Novel Distributed Optimal Control of Battery Energy Storage System in an Islanded Microgrid with Fast Frequency Recovery |
title_sort |
novel distributed optimal control of battery energy storage system in an islanded microgrid with fast frequency recovery |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2018-07-01 |
description |
Highly intermittent renewable energy sources pose new challenges to microgrid operation and control. Thus, many distributed control strategies have been proposed to solve this problem. However, for most previous studies, the system frequency fluctuation can be further controlled on the basis of the optimal control strategy. This paper proposes a novel distributed optimal control strategy of a battery energy storage system in an islanded microgrid to provide desired optimal control performance and fast frequency recovery. The proposed control strategy is implemented through a multi-agent system based on consensus algorithm, which only requires information collected through a local communication network. Furthermore, the measurement of supply–demand mismatch is replaced by the control signal obtained from a supplementary controller with the improved linear active disturbance rejection control algorithm. The stability of microgrid frequency can be greatly enhanced through this improvement. Finally, the validity of proposed method is demonstrated by various case studies which are given in this paper. |
topic |
distributed optimal control islanded microgrid battery energy storage system linear active disturbance rejection control frequency recovery |
url |
http://www.mdpi.com/1996-1073/11/8/1955 |
work_keys_str_mv |
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