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With the aim to reduce voltage overshoot and improve the anti-disturbance ability of the vehicle-to-grid inverter, a high-performance voltage control strategy based on funnel control and finite-time disturbance observer is developed. First, the dynamic model of the inverter in dq-frame is established, and the lumped disturbance including the unmodeled part is considered. Next, a novel funnel variable is proposed to ensure that the voltage tracking error can be stabilized within the prescribed funnel boundary, and thus enhance the transient performance. Then, a novel finite-time disturbance observer is designed to estimate the lumped disturbance in the system such as load fluctuations, and improve the anti-disturbance ability of the controller. Moreover, the second-order sliding mode differentiator is introduced to estimate the derivative of the virtual control law and eliminate the explosion of complexity problem in the derivation process. Finally, the finite-time stability of the proposed voltage control strategy is analyzed via the Lyapunov theory. The effectiveness of the proposed control strategy is verified by two cases. <\/jats:p>","DOI":"10.1177\/09596518211017343","type":"journal-article","created":{"date-parts":[[2021,5,18]],"date-time":"2021-05-18T11:28:56Z","timestamp":1621337336000},"page":"1571-1582","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Finite-time disturbance observer\u2013based funnel voltage control strategy for vehicle-to-grid inverter in islanded mode"],"prefix":"10.1177","volume":"235","author":[{"given":"Yuchen","family":"Dai","sequence":"first","affiliation":[{"name":"School of Automation, Wuhan University of Technology, Wuhan, China"}]},{"given":"Liyan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Automation, Wuhan University of Technology, Wuhan, China"}]},{"given":"Guofu","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electric Power Engineering, Nanjing 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