Optimal design of moving average filter and its application in distorted grid synchronization

2015 ◽  
Author(s):  
Liansong Xiong ◽  
Fang Zhuo ◽  
Xiaokang Liu ◽  
Feng Wang ◽  
Ying Chen
Keyword(s):  
Optimal Design ◽  
Moving Average ◽  
Moving Average Filter ◽  
Grid Synchronization ◽  
Distorted Grid ◽  
Average Filter

scholarly journals A Fixed Length Adaptive Moving Average Filter-Based Synchrophasor Measurement Algorithm for P Class PMUs

Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4168
Author(s):  
Hui Xue ◽  
Mengjie Ruan ◽  
Yifan Cheng
Keyword(s):  
Disturbance Rejection ◽  
Measurement Accuracy ◽  
Moving Average ◽  
Reliable Operation ◽  
Moving Average Filter ◽  
Fixed Length ◽  
Distorted Grid ◽  
Measurement Units ◽  
Measurement Algorithm ◽  
Average Filter

Accurate and fast synchrophasor measurement is the key to the wide applications of PMUs in the system-wide monitoring and reliable operation of smart grid. To address this issue, a fixed length moving average filter-based synchrophasor measurement algorithm for P class phasor measurement units (PMUs) (FA-PSMA) is proposed in this paper. Firstly, a novel fixed length adaptive moving average filter (FAMAF) is proposed. The FAMAF has an adaptive filter capability with a fixed data window length. Then, the FAMAF is applied after a phase-locked loop (PLL) for enhanced disturbance rejection capability under frequency drifts. Finally, a detailed performance assessment is presented to validate the performance of the proposed FA-PSMA. Theoretical analysis and simulation results validate that the proposed FA-PSMA can track the grid frequency and phasor accurately under distorted grid conditions. The response time and measurement accuracy satisfy the requirements specified in IEC/IEEE 60255-118-1.

Single and three phase moving average filter PLLs: Digital controller design recipe

2014 ◽  
Vol 116 ◽  
pp. 276-283 ◽  
Author(s):  
Naji Rajai Nasri Ama ◽  
Wilson Komatsu ◽  
Lourenco Matakas Junior
Keyword(s):  
Controller Design ◽  
Moving Average ◽  
Digital Controller ◽  
Moving Average Filter ◽  
Three Phase ◽  
Average Filter

scholarly journals Low Resource Complexity R-peak Detection Based on Triangle Template Matching and Moving Average Filter

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3997 ◽  
Author(s):  
Tam Nguyen ◽  
Xiaoli Qin ◽  
Anh Dinh ◽  
Francis Bui
Keyword(s):  
Template Matching ◽  
Moving Average ◽  
Detection Algorithm ◽  
Peak Detection ◽  
Moving Average Filter ◽  
Ecg Signals ◽  
Low Resource ◽  
Peak Detection Algorithm ◽  
Robustness To Noise ◽  
Average Filter

A novel R-peak detection algorithm suitable for wearable electrocardiogram (ECG) devices is proposed with four objectives: robustness to noise, low latency processing, low resource complexity, and automatic tuning of parameters. The approach is a two-pronged algorithm comprising (1) triangle template matching to accentuate the slope information of the R-peaks and (2) a single moving average filter to define a dynamic threshold for peak detection. The proposed algorithm was validated on eight ECG public databases. The obtained results not only presented good accuracy, but also low resource complexity, all of which show great potential for detection R-peaks in ECG signals collected from wearable devices.

scholarly journals Effects of sensor response and moving average filter duration on maximum wind gust measurements

2020 ◽  
Vol 206 ◽  
pp. 104354 ◽  
Author(s):  
Amir Ali Safaei Pirooz ◽  
Richard G.J. Flay ◽  
Lorenzo Minola ◽  
Cesar Azorin-Molina ◽  
Deliang Chen
Keyword(s):  
Moving Average ◽  
Sensor Response ◽  
Wind Gust ◽  
Moving Average Filter ◽  
Maximum Wind ◽  
Average Filter
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