Observer-Based Load Frequency Control for Island Microgrid with Photovoltaic Power
Joint Authors
Rabiul Islam, Md.
Mu, Chaoxu
Liu, Weiqiang
Xu, Wei
Source
International Journal of Photoenergy
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-26
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
As renewable energy is widely integrated into the power system, the stochastic and intermittent power generation from renewable energy may cause system frequency deviating from the prescribed level, especially for a microgrid.
In this paper, the load frequency control (LFC) of an island microgrid with photovoltaic (PV) power and electric vehicles (EVs) is investigated, where the EVs can be treated as distributed energy storages.
Considering the disturbances from load change and PV power, an observer-based integral sliding mode (OISM) controller is designed to regulate the frequency back to the prescribed value, where the neural network observer is used to online estimate the PV power.
Simulation studies on a benchmark microgrid system are presented to illustrate the effectiveness of OISM controller, and comparative results also demonstrate that the proposed method has a superior performance for stabilizing the frequency over the PID control.
American Psychological Association (APA)
Mu, Chaoxu& Liu, Weiqiang& Xu, Wei& Rabiul Islam, Md.. 2017. Observer-Based Load Frequency Control for Island Microgrid with Photovoltaic Power. International Journal of Photoenergy،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1168174
Modern Language Association (MLA)
Mu, Chaoxu…[et al.]. Observer-Based Load Frequency Control for Island Microgrid with Photovoltaic Power. International Journal of Photoenergy No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1168174
American Medical Association (AMA)
Mu, Chaoxu& Liu, Weiqiang& Xu, Wei& Rabiul Islam, Md.. Observer-Based Load Frequency Control for Island Microgrid with Photovoltaic Power. International Journal of Photoenergy. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1168174
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1168174