Reconfigurable instrument for neural‐network‐based power‐quality monitoring in 3‐phase power systems

Instantaneous power quality indices detection under frequency deviated environment

“…As shown in the simulation and experimental sections in this paper, the proposed methodology obtains a better performance in estimating the parameters of the voltage and current signals under a frequency deviated environment than the conventional. As a consequence, the proposed method can calculate many extensive used PQIs stated in many standards in this field, such as IEEE Std 1459 [4], IEC 61000-4-7 [28] and IEC 61000-4-30 [29], and also other PQIs discussed in other paper works [16,17,19,25], with high accuracy, and no reformulation of the mathematical model is required. Furthermore, PQIs in the three-phase power system can also be calculated using the proposal, such as the equivalent RMS and THD, symmetrical and unbalance components, which are critical for many other applications presented in other works that need the estimation of PQIs in both steady and transient conditions under frequency deviated environment.…”

“…In [21][22][23], a frequency feedback loop is utilised with a cascaded delayed signal cancellation (CDSC) technique to detect the harmonic components in the frequency deviated signals, but it demands a complex recalculation and readjustment, which may bring unnecessary and extra computing burden. More complex algorithms, adaptive neural networks (NNs) [24,25], were also presented. To update the representative formulation of the signals and ensure the correct convergence in time, fast and accurate adjustment algorithms are required, which are difficult to obtain.…”

A Review on Power Quality Monitoring and its Controlling Techniques

“…This work [11] proposes the harmonic estimation method that uses a single layer neural network called ADALINE (Adaptive Linear Neuron). The ADALINE calculates not only the harmonics but also the interharmonics.…”

Power quality monitoring and evaluation in power systems under non‐stationary conditions using wavelet packet transform

“…The utility can also reduce capital investment, since a continuous monitoring allows expensive power system improvements to be limited where strictly necessary. As far as the end customers are concerned, PQM is a topic of high value, since poor PQ can produce irregular or wrong operation of protection systems, excessive neutral currents in three‐phase four‐wire systems, overheating of motors, transformers, capacitor banks and wiring in general [11]. A PQM system can detect disturbances that may cause damages to customer's equipment.…”