Exploring Power Grid Frequency Fluctuations and Sonification Techniques
Delve into a fascinating research project involving the analysis of power grid frequency fluctuations, voltage magnitude changes, and the application of sonification techniques to generate audio representations. Discover how data from historic geographical sources and lab projects are processed in MATLAB to create MIDI files, explore dissonance in sonified notes, and investigate power grid signal processing for educational and research purposes.
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Presentation Transcript
ECE 498 Pat Cowden Advisor: Professor Dosiek
Power Grid Frequency is at 60 Hz but constantly fluctuates by values of a few mHz Voltage Magnitude constantly changes do to applied loads across the Grid V(t) = 2 A(t)cos(2 fct + (t))
Data will be processed from historic U.S. geographical data as well as data captured from Power Systems Lab Project will be fully written in MATLAB Audification will generate audio sample representing the power grid voltage over measured time period Sonification will generate a MIDI file mapping the voltage magnitude and frequency fluctuations over measured time period
Data processed and Frequency and Voltage magnitude MIDI parameters are generated Frequency deviations controls pitch values Four Octave Range of Pitch Values Voltage magnitude controls velocity values Using existing MIDI file generator script, MIDI parameters will generate a MIDI file which will be played through a virtual audio synthesizer
Dissonance in successive sonified notes Identifying appropriate subset size for both techniques Generating complex non pure tone sounds for Audification approach Processing other signal parameters
Power Grid Education for students and general public Power Grid Signal Processing Research Power grid station analysis to examine forced grid oscillations
All sonifications, however, may have musical effects on listeners, as our trained ears with daily exposure to music tend to naturally distinguish musical and non-musical sound relationships, such as harmony, rhythmic stability, or timbral balance -Jason Freeman, and Lee W. Lerner, Tsuchiya, Takahiko. Data-To-Music API: Real- Time Data-Agnostic Sonification With Musical Structure Models. The 21st International Conference On Auditory Display (2015) : 244-51. July 2015. Web. 24 Oct. 2016.
Network Metadata Sonification Pitch and time used to represent the data flow rate Seismograph Audification https://soundcloud.com/seismicsounds/christchur ch-earthquake
Dosiek, Luke. "Extracting Electrical Network Frequency From Digital Recordings Using Frequency Demodulation." IEEE Signal Processing Letters 22.6 (2015): 691-95. IEEE Xplore. Web. 22 Sept. 2016. Freeman, Jason, Lerner, Lee W., Tsuchiya, Takahiko. Data-To-Music API: Real-Time Data-Agnostic Sonification With Musical Structure Models. The 21st International Conference On Auditory Display (2015) : 244- 51. July 2015. Web. 24 Oct. 2016. McGee, Ryan, Andy Michael, Stock Plum, and D. Rogers V. "Sounds of Seismic Earth System Soundscape. Web. 22 Sept. 2016. Worrall, David. "Real-Time Sonification and Visualization of Network Metadata." The 21stInternational Conference On Auditory Display (2015): 337-39. July 2015. Web. 24 Oct. 2016.
