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Applications of Adaptive Long Short-Term Memory to Active Filtering

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Abstract

Power distribution systems rely on the use of active shunt compensators for power quality (PQ) improvement. This paper proposes the application of a new technique based on Long Short-Term Memory (LSTM) to mitigate PQ problems and achieve shunt compensation. The proposed controller comprises a single LSTM cell and the weights of the LSTM are updated online. The output of the LSTM is trained to determine correctly component of load current corresponding to 50 Hz, which is then used for active filtering and compensation. A Simulink-based MATLAB model is developed for the grid connected power distribution network feeding nonlinear loads. A single-phase voltage source converter configured as H-bridge is controlled as a compensator. Additionally, a photovoltaic source of 5 kW rating is integrated at the DC link of this converter. In both the cases discussed, the proposed LSTM network is found to be successfully track the fundamental load current component and utilize the same for compensation. Simulation results justify the ability of the controller developed using LSTM in achieving power factor correction of supply current and reactive and active power injection.

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Abbreviations

v s :

Supply voltage (V)

i s :

Grid current (A)

i l :

Load current (A)

i c :

Compensator current (A)

P pv :

Active power of PV array (kW)

Vpv :

PV array voltage (V)

I pv :

Current injected by PV array (A)

Vdc :

DC bus voltage (V)

Vdcref :

Reference voltage at the DC bus (V)

C dc :

Capacitance of the inverter (µF)

R L 1 :

Source resistance (Ω)

L L 1 :

Source inductance (mH)

L f :

Filter inductance (mH)

L b :

Inductor of the boost converter (mH)

C b :

Capacitor of the boost converter (mH)

x t :

Input signal

y t :

Output signal

d t :

Desired output (A)

d eff :

Effective output (A)

d pv :

PV contribution (A)

u p :

Unit template

W :

Weight (A)

μ :

Learning rate

P, Q :

Real and reactive powers (W, var

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Acknowledgements

The author is thankful to the Department of Science and Technology, Govt. of India.

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No funding was received for the completion of this study.

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Authors and Affiliations

  1. Department of Electrical Engineering, Delhi Technological University, New Delhi, India

    Alka Singh

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  1. Alka Singh
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Correspondence to Alka Singh.

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Appendix

Appendix

AC mains: 220 V, 1-phase, 50 Hz. Rs = 0.05 Ω, Ls = 1 mH. Vdc = 400 V. Lf = 3.1 mH. Nonlinear diode rectifier with RL1 = 15 Ω, LL1 = 100 mH, 5 kW PV, Voc = 37.5 V, Isc = 8.7 A, Lb = 5 mH, Cb = 500 µF.

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Singh, A. Applications of Adaptive Long Short-Term Memory to Active Filtering. J. Inst. Eng. India Ser. B 103, 737–746 (2022). https://doi.org/10.1007/s40031-021-00685-4

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