ANN-Based Frequency and Tie-Line Power Control in Interconnected Microgrids

Microgrids can operate in three different possible modes, including grid-connected, islanded and the interconnected operation modes. One of the big challenges in the interconnected microgrids is frequency and tie-line power control because of the nonlinearity behavior of the interconnected microgrids. Thus an adaptive controller is needed for solving this problem. In response to this challenge, in the present paper, an artificial neural network controller is presented. The control methodology is applied to two-AC interconnected microgrids considering a simplified frequency response model. The effectiveness of the proposed controller is examined by simulation. The simulation results show that in different conditions, artificial neural network controllers can operate better than the conventional proportional-integral controllers.

[1]  Ramon Zamora,et al.  Multi-Layer Architecture for Voltage and Frequency Control in Networked Microgrids , 2018, IEEE Transactions on Smart Grid.

[2]  Hassan Bevrani,et al.  Secondary voltage and frequency control in islanded microgrids: online ANN tuning approach , 2014, 2014 Smart Grid Conference (SGC).

[3]  Rujing Zhou,et al.  Robust decentralised load-frequency control of multi-area power systems , 1996 .

[4]  Jawad Talaq,et al.  Adaptive fuzzy gain scheduling for load frequency control , 1999 .

[5]  Takashi Hiyama,et al.  Bilateral-based LFC analysis using a modified conventional model , 2005 .

[6]  Hassan Bevrani,et al.  DESIGNING A SELF-TUNING FREQUENCY CONTROLLER BASED ON ANNS FOR AN ISOLATED MICROGRID , 2012 .

[7]  László Keviczky,et al.  Adaptive load-frequency control of the hungarian power system , 1985, Autom..

[8]  Aysen Demiroren,et al.  The application of ANN technique to load-frequency control for three-area power system , 2001, 2001 IEEE Porto Power Tech Proceedings (Cat. No.01EX502).

[9]  W. Marsden I and J , 2012 .

[10]  H. L. Zeynelgil,et al.  Load frequency control for power system with reheat steam turbine and governor deadband non‐linearity by using neural network controller , 2002 .

[11]  Hieu Trinh,et al.  A variable structure-based controller with fuzzy tuning for load-frequency control , 2000 .

[12]  Kit Po Wong,et al.  A Novel Quasi-Decentralized Functional Observer Approach to LFC of Interconnected Power Systems , 2016, IEEE Transactions on Power Systems.

[13]  X. P. Zhang,et al.  Allocation of frequency regulation services , 2000, DRPT2000. International Conference on Electric Utility Deregulation and Restructuring and Power Technologies. Proceedings (Cat. No.00EX382).