Adaptive-Observer-Based Data Driven Voltage Control in Islanded-Mode of Distributed Energy Resource Systems
Yan Xia,
Yuchen Dai,
Wenxu Yan,
Dezhi Xu and
Chengshun Yang
Additional contact information
Yan Xia: School of IoT Engineering, Jiangnan University, Wuxi 214122, China
Yuchen Dai: School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China
Wenxu Yan: School of IoT Engineering, Jiangnan University, Wuxi 214122, China
Dezhi Xu: School of IoT Engineering, Jiangnan University, Wuxi 214122, China
Chengshun Yang: School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China
Energies, 2018, vol. 11, issue 12, 1-14
Abstract:
In this paper, an adaptive observer based data driven control scheme is proposed for the voltage control of dispatchable distributed energy resource (DER) systems which work in islanded operation. In the design procedure of the proposed control scheme, we utilize the novel transformation and linearization technique for the islanded DER system dynamics, which is proper for the proposed data driven control algorithm. Moreover, the pseudo partial derivative (PPD) parameter matrix can be estimated online by multiple adaptive observers. Then, the adaptive constrained controller is designed only based on the online identification results derived from the input/output (I/O) data of the controlled DER system. It is theoretically proven that all the signals in the closed-loop control system are uniformly ultimately bounded based on the Lyapunov stability analysis approach. In addition, the results of the simulation comparison are given to verify the voltage control effect of the proposed control scheme.
Keywords: data-driven control; distributed energy resource (DER); islanded operation; dynamic linearization technique; multi adaptive observer (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/1996-1073/11/12/3299/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/12/3299/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:12:p:3299-:d:185611
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().