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Observer-Based Load Frequency Control for Island Microgrid with Photovoltaic Power

Journal Article


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Abstract


  • 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.

UOW Authors


  •   Mu, Chaoxu (external author)
  •   Liu, Weiqiang (external author)
  •   Xu, Wei (external author)
  •   Islam, Md Rabiul

Publication Date


  • 2017

Citation


  • C. Mu, W. Liu, W. Xu & M. Islam, "Observer-Based Load Frequency Control for Island Microgrid with Photovoltaic Power," International Journal of Photoenergy, vol. 2017, pp. 2851436-1-2851436-11, 2017.

Scopus Eid


  • 2-s2.0-85019080871

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2071&context=eispapers1

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/1069

Start Page


  • 2851436-1

End Page


  • 2851436-11

Volume


  • 2017

Place Of Publication


  • United States

Abstract


  • 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.

UOW Authors


  •   Mu, Chaoxu (external author)
  •   Liu, Weiqiang (external author)
  •   Xu, Wei (external author)
  •   Islam, Md Rabiul

Publication Date


  • 2017

Citation


  • C. Mu, W. Liu, W. Xu & M. Islam, "Observer-Based Load Frequency Control for Island Microgrid with Photovoltaic Power," International Journal of Photoenergy, vol. 2017, pp. 2851436-1-2851436-11, 2017.

Scopus Eid


  • 2-s2.0-85019080871

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2071&context=eispapers1

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/1069

Start Page


  • 2851436-1

End Page


  • 2851436-11

Volume


  • 2017

Place Of Publication


  • United States