Instantaneous Disturbance Index for Power Distribution Networks

Area of Science:

• Electrical Engineering
• Power Systems Analysis
• Signal Processing

Background:

• Power system stability is vulnerable to voltage/current variations from renewable energy sources.
• Assessing power quality (PQ) is crucial due to varying equipment sensitivity to grid anomalies.
• Non-stationary disturbances pose challenges for traditional PQ monitoring methods.

Purpose of the Study:

• To introduce novel wavelet-based power quality indices (PQIs) for instantaneous disturbance characterization.
• To define an instantaneous disturbance index (ITD(t)) and a Global Disturbance Ratio (GDR) for comprehensive PQ assessment.
• To enable high-resolution and precise quantification of non-stationary disturbances in power distribution networks (PDN).

Main Methods:

• Development of wavelet-based algorithms for calculating PQIs, minimizing leakage errors with optimized mother wavelets.
• Definition of ITD(t) and GDR to reflect overall PQ levels under steady-state and transient conditions.
• Implementation of algorithms in smart sensors for real-time PDN monitoring.

Main Results:

• The proposed PQIs accurately quantify non-stationary disturbances with high resolution.
• Wavelet-based algorithms effectively extract signal component characteristics from multi-event test signals.
• Validation on a real-time experimental platform confirmed the indices' effectiveness compared to classical methods.

Conclusions:

• The novel wavelet-based PQIs provide a robust and efficient method for monitoring power quality in PDN.
• ITD(t) and GDR indices offer precise characterization of disturbances, enhancing power system stability assessment.
• The developed algorithms are suitable for real-time implementation in smart monitoring systems.