Portal de Periódicos da CAPES

Adaptive predictive control of flywheel storage for transient stability enhancement of a wind penetrated power system

2021; Wiley; Volume: 46; Issue: 5 Linguagem: Inglês

10.1002/er.7600

1099-114X

Abdul Waheed Kumar, Mairaj-ud-Din Mufti, Mubashar Yaqoob Zargar,

Frequency Control in Power Systems

International Journal of Energy ResearchVolume 46, Issue 5 p. 6654-6671 RESEARCH ARTICLE Adaptive predictive control of flywheel storage for transient stability enhancement of a wind penetrated power system Abdul Waheed Kumar, Corresponding Author Abdul Waheed Kumar [email protected] orcid.org/0000-0002-6888-5816 Department of Electrical Engineering, National Institute of Technology Hazratbal, Srinagar, J&K, India Correspondence Abdul Waheed Kumar, Department of Electrical Engineering, National Institute of Technology Hazratbal, Srinagar, J&K, India. Email: [email protected]Search for more papers by this authorMairaj-ud din Mufti, Mairaj-ud din Mufti Department of Electrical Engineering, National Institute of Technology Hazratbal, Srinagar, J&K, IndiaSearch for more papers by this authorMubashar Y. Zargar, Mubashar Y. Zargar Department of Electrical Engineering, IUST, Awantipora, J&K, IndiaSearch for more papers by this author Abdul Waheed Kumar, Corresponding Author Abdul Waheed Kumar [email protected] orcid.org/0000-0002-6888-5816 Department of Electrical Engineering, National Institute of Technology Hazratbal, Srinagar, J&K, India Correspondence Abdul Waheed Kumar, Department of Electrical Engineering, National Institute of Technology Hazratbal, Srinagar, J&K, India. Email: [email protected]Search for more papers by this authorMairaj-ud din Mufti, Mairaj-ud din Mufti Department of Electrical Engineering, National Institute of Technology Hazratbal, Srinagar, J&K, IndiaSearch for more papers by this authorMubashar Y. Zargar, Mubashar Y. Zargar Department of Electrical Engineering, IUST, Awantipora, J&K, IndiaSearch for more papers by this author First published: 30 December 2021 https://doi.org/10.1002/er.7600Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Summary Flywheel energy storage system (FESS) needs to be operated within its allowable speed range because it will be shut down outside this range. Furthermore, the power supplied/absorbed by FESS is constrained by the associated power electronic interface. This article proposes supervisory adaptive predictive control (APC) scheme for flywheel energy storage system to enhance power system transient stability while addressing the constraints mentioned earlier. The supervisory adaptive predictive controller gives a reference power command signal to the inner control loop of FESS while ensuring the operation of FESS within its regime of operation. The gains of the inner control loop are optimized by employing Genetic Algorithm (GA). The constraints on the state of charge of FESS and power rating of the associated converter are explicitly included in the adaptive predictive controller formulation, which is usually done in an ad hoc manner. The performance of the proposed control strategy is evaluated under four scenarios: a step wind disturbance, realistic wind profile, doubly fed induction generator (DFIG) outage, and a severe symmetrical fault condition on modified New York/New England 16 machine 68-bus power system. The validity of the adaptive predictive control based flywheel energy storage system (APC based FESS) in improving transient stability of power system is verified by the simulation studies carried out in MATLAB/Simulink environment. Open Research DATA AVAILABILITY STATEMENT Research data are not shared. Volume46, Issue5April 2022Pages 6654-6671 RelatedInformation