Islanding detection technique based on superimposed components of voltage

Abstract

This study presents a new islanding detection technique based on islanding discrimination factor which is derived from the superimposed components of voltages. These voltages are calculated by utilising the acquired voltage signals from the terminal of distributed generators. Various islanding and non-islanding events with varying power mismatches have been simulated on two different widely used networks namely (i) IEEE 34 bus network and (ii) IEC61850-7-420 Micro-Grid model in real time digital simulator (RTDS/RSCAD) environment. The authenticity of the presented scheme has been verified on diversified islanding and non-islanding cases, generated from the above two models. The results indicate that the proposed scheme is able to distinguish islanding situation with non-islanding events accurately. Moreover, it senses islanding condition quickly (within one and half cycle) even with perfect power balance situation and hence, eliminates non-detection zone. In addition, it also provides better stability against nuisance tripping which is initiated due to various types of non-islanding events including reconfiguration of the network. In the end, comparative assessment of the presented scheme with the scheme just published in the literature shows its domination in distinguishing islanding condition with non-islanding events.

FPGA implementation of an Islanding detection technique for microgrid using periodic maxima of superimposed voltage components

“…The realised IDF module converts voltage magnitude to the superimposed components of voltages (ΔV A , ΔV B and ΔV C ) given by (1)-(3). These superimposed components are computed using sliding window techniques, in which data of the current window is updated by the data of the previous window [22]…”

“…The obtained results are summarised in Table 2. Maximum detection time of islanding is ∼14 ms, which is less than the suggested technique (∼22.5 ms) of [17,22]. Similarly, the performance of the proposed IDT has also been tested for critical non-islanding events, i.e.…”

“…However, these techniques fail to discriminate between the islanding events from non-islanding events and do not take reliable action during the zero power imbalance condition. Later, Makwana and Bhalja [22] present an islanding discrimination factor-based (IDF) IDT using the superimposed component of voltage. Although it works satisfactorily for zero power imbalances; however, the IDF-based method is too complex, have higher computational burden and detection time.…”

Harmonic filter‐based improved islanding detection technique for microgrid

“…The proposed harmonic filter-based impedance method has been compared with other islanding detection techniques such as OUV/ OUF, traditional impedance measurement technique, superimposed components methods [16], Kalman filter-based islanding detection technique [19] for various islanding and non-islanding scenarios including system transients in the six bus test microgrid system shown in Fig. 4.…”

Islanding and power quality disturbance monitoring in microgrid using adaptive cross variational mode decomposition and reduced kernel ridge regression

“…In recent years studies relating to PQ disturbances detection and event recognition are documented in several references …”