TY - JOUR
AU1 - Singh, Alka
AB - 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.
TI - Applications of Adaptive Long Short-Term Memory to Active Filtering
JF - Journal of The Institution of Engineers (India):Series B
DO - 10.1007/s40031-021-00685-4
DA - 2022-06-01
UR - https://www.deepdyve.com/lp/springer-journals/applications-of-adaptive-long-short-term-memory-to-active-filtering-1cBfvv0cfs
SP - 737
EP - 746
VL - 103
IS - 3
DP - DeepDyve
ER -