Optimal control strategy for a wind power hybrid energy storage system considering output power amendment
Aiming at meeting the requirement of balancing the fluctuating wind power, this study proposed an optimal control strategy for wind power hybrid energy storage system considering output power amendment. Firstly, fluctuant wind power is decomposed into low-frequency, sub-high frequency and high-frequ...
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doaj-dcca528585894c888c8d84a70d98a6812021-04-02T14:17:30ZengWileyThe Journal of Engineering2051-33052019-01-0110.1049/joe.2018.8562JOE.2018.8562Optimal control strategy for a wind power hybrid energy storage system considering output power amendmentGuannan Wu0Jianyuan Xu1Jun Xu2Yi Song3Gaole Yu4Yuxiao Wang5Xiangguo Kong6School of Electrical Engineering, Shenyang University of TechnologySchool of Electrical Engineering, Shenyang University of TechnologyProgramming and Appraisal Center, State Grid Liaoning Economic Research InstituteSchool of Electrical Engineering, Shenyang University of TechnologySchool of Electrical Engineering, Shenyang University of TechnologySchool of Electrical Engineering, Shenyang University of TechnologyState Grid Materials Co. Ltd.Aiming at meeting the requirement of balancing the fluctuating wind power, this study proposed an optimal control strategy for wind power hybrid energy storage system considering output power amendment. Firstly, fluctuant wind power is decomposed into low-frequency, sub-high frequency and high-frequency components. Low-frequency part is used as the expected value of wind power integration. Sub-high frequency and high-frequency components are used as the target value of output power of storage batteries and ultra-capacitor energy storage system. Secondly, a double power amendment is proposed. In the first-time power amendment, the amendment coefficient is calculated by fuzzy controller whose inputs are the target value of power and state of charge (SOC) of the energy storage system. On the other hand, complement of batteries and super-capacitors are utilised in the second amendment. Through simulation analysis, it can be indicated that the configuration of the hybrid energy storage system and the control system design are feasible. This system can be widely used in wind farm, undertaking the task of balancing the fluctuating wind power.https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8562optimal controlenergy storagesupercapacitorswind power plantsfuzzy controloptimal control strategywind power hybrid energy storage systemoutput power amendmentfluctuating wind powerfluctuant wind powersub-high frequencyhigh-frequency componentswind power integrationtarget valueultra-capacitor energy storage systemdouble power amendmentfirst-time power amendmentcontrol system design |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Guannan Wu Jianyuan Xu Jun Xu Yi Song Gaole Yu Yuxiao Wang Xiangguo Kong |
spellingShingle |
Guannan Wu Jianyuan Xu Jun Xu Yi Song Gaole Yu Yuxiao Wang Xiangguo Kong Optimal control strategy for a wind power hybrid energy storage system considering output power amendment The Journal of Engineering optimal control energy storage supercapacitors wind power plants fuzzy control optimal control strategy wind power hybrid energy storage system output power amendment fluctuating wind power fluctuant wind power sub-high frequency high-frequency components wind power integration target value ultra-capacitor energy storage system double power amendment first-time power amendment control system design |
author_facet |
Guannan Wu Jianyuan Xu Jun Xu Yi Song Gaole Yu Yuxiao Wang Xiangguo Kong |
author_sort |
Guannan Wu |
title |
Optimal control strategy for a wind power hybrid energy storage system considering output power amendment |
title_short |
Optimal control strategy for a wind power hybrid energy storage system considering output power amendment |
title_full |
Optimal control strategy for a wind power hybrid energy storage system considering output power amendment |
title_fullStr |
Optimal control strategy for a wind power hybrid energy storage system considering output power amendment |
title_full_unstemmed |
Optimal control strategy for a wind power hybrid energy storage system considering output power amendment |
title_sort |
optimal control strategy for a wind power hybrid energy storage system considering output power amendment |
publisher |
Wiley |
series |
The Journal of Engineering |
issn |
2051-3305 |
publishDate |
2019-01-01 |
description |
Aiming at meeting the requirement of balancing the fluctuating wind power, this study proposed an optimal control strategy for wind power hybrid energy storage system considering output power amendment. Firstly, fluctuant wind power is decomposed into low-frequency, sub-high frequency and high-frequency components. Low-frequency part is used as the expected value of wind power integration. Sub-high frequency and high-frequency components are used as the target value of output power of storage batteries and ultra-capacitor energy storage system. Secondly, a double power amendment is proposed. In the first-time power amendment, the amendment coefficient is calculated by fuzzy controller whose inputs are the target value of power and state of charge (SOC) of the energy storage system. On the other hand, complement of batteries and super-capacitors are utilised in the second amendment. Through simulation analysis, it can be indicated that the configuration of the hybrid energy storage system and the control system design are feasible. This system can be widely used in wind farm, undertaking the task of balancing the fluctuating wind power. |
topic |
optimal control energy storage supercapacitors wind power plants fuzzy control optimal control strategy wind power hybrid energy storage system output power amendment fluctuating wind power fluctuant wind power sub-high frequency high-frequency components wind power integration target value ultra-capacitor energy storage system double power amendment first-time power amendment control system design |
url |
https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8562 |
work_keys_str_mv |
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