Instantaneous Disturbance Index for Power Distribution Networks
Open Access
- 14 February 2021
- Vol. 21 (4), 1348
- https://doi.org/10.3390/s21041348
Abstract
The stability of power systems is very sensitive to voltage or current variations caused by the discontinuous supply of renewable power feeders. Moreover, the impact of these anomalies varies depending on the sensitivity/resilience of customer and transmission system equipment to those deviations. From any of these points of view, an instantaneous characterization of power quality (PQ) aspects becomes an important task. For this purpose, a wavelet-based power quality indices (PQIs) are introduced in this paper. An instantaneous disturbance index (ITD(t)) and a Global Disturbance Ratio index (GDR) are defined to integrally reflect the PQ level in Power Distribution Networks (PDN) under steady-state and/or transient conditions. With only these two indices it is possible to quantify the effects of non-stationary disturbances with high resolution and precision. These PQIs offer an advantage over other similar because of the suitable choice of mother wavelet function that permits to minimize leakage errors between wavelet levels. The wavelet-based algorithms which give rise to these PQIs can be implemented in smart sensors and used for monitoring purposes in PDN. The applicability of the proposed indices is validated by using a real-time experimental platform. In this emulated power system, signals are generated and real-time data are analyzed by a specifically designed software. The effectiveness of this method of detection and identification of disturbances has been proven by comparing the proposed PQIs with classical indices. The results confirm that the proposed method efficiently extracts the characteristics of each component from the multi-event test signals and thus clearly indicates the combined effect of these events through an accurate estimation of the PQIs.Keywords
This publication has 39 references indexed in Scilit:
- PQ and Harmonic Assessment Issues on Low-Cost Smart Metering Platforms: A Case StudySensors, 2020
- Comprehensive Review on Detection and Classification of Power Quality Disturbances in Utility Grid With Renewable Energy PenetrationIEEE Access, 2020
- Fault Diagnosis of Rotary Parts of a Heavy-Duty Horizontal Lathe Based on Wavelet Packet Transform and Support Vector MachineSensors, 2019
- An Open Hardware Design for Internet of Things Power Quality and Energy Saving SolutionsSensors, 2019
- A review on economics of power quality: Impact, assessment and mitigationRenewable and Sustainable Energy Reviews, 2018
- Syncretic Use of Smart Meters for Power Quality Monitoring in Emerging NetworksIEEE Transactions on Smart Grid, 2016
- A Comprehensive Review of Smart Energy Meters in Intelligent Energy NetworksIEEE Internet of Things Journal, 2015
- A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based ApproachesIEEE Transactions on Industrial Electronics, 2015
- Random Generation of Arbitrary Waveforms for Emulating Three-Phase SystemsIEEE Transactions on Industrial Electronics, 2011
- Power Quality Factor for Networks Supplying Unbalanced Nonlinear LoadsIEEE Transactions on Instrumentation and Measurement, 2008