The objective is the development of a grid operations procedure using modal analysis for improving grid stability based on phasor measurements. To meet this need, modal analysis will be further explored in this project to develop real-time applications for grid operations. In prior work, we have extensively studied the mechanism of power grid low-frequency oscillations and identified the correlation of low damping and power flow of key transmission lines and generators. A MANGO procedure was established.
Modal Analysis for Grid Operations (MANGO)
"Mode shape estimation algorithms under ambient conditions: A comparative review." IEEE Transactions on Power Systems 28.2 (2013) 779 - 787. .
"Some considerations in using Prony analysis to estimate electromechanical modes." 2013 IEEE Power & Energy Society (PES) General Meeting. Vancouver, BC: IEEE, 2013. 1 - 5. .
"A Stepwise Regression Method for Estimating Dominant Electromechanical Modes." IEEE Transactions on Power Systems 27.2 (2012) 1051 - 1059. .
"Deriving optimal operational rules for mitigating inter-area oscillations." 2011 IEEE/PES Power Systems Conference and Exposition (PSCE). Phoenix, AZ, USA: IEEE, 2011. 1 - 8. .
"The influence of topology changes on inter-area oscillation modes and mode shapes." IEEE Power and Energy Society (PES) General Meeting. Detroit, MI, USA: IEEE, 2011. 1 - 7. .
"Use of Modal Sensitivity to Operating Conditions for Damping Control in Power Systems." 2011 44th Hawaii International Conference on System Sciences (HICSS). Kauai, HI: IEEE, 2011. 1 - 9. .
"Automatic implementation of Prony analysis for electromechanical mode identification from phasor measurements." IEEE Power and Energy Society (PES) General Meeting. Minneapolis, MN: IEEE, 2010. 1 - 8. .
"Improving small signal stability through operating point adjustment." IEEE PES General Meeting. Minneapolis, MN: IEEE, 2010. 1 - 8. .
"Initial studies on actionable control for improving small signal stability in interconnected power systems." IEEE Power and Energy Society (PES) Transmission and Distribution Conference . New Orleans, LA, USA: IEEE, 2010. 1 - 6. .
"Probing Signal Design for Power System Identification." IEEE Transactions on Power Systems 25.2 (2010) 835 - 843. .
"Electromechanical mode shape estimation based on transfer function identification using PMU measurements." 2009 IEEE Power & Energy Society General Meeting. Calgary, Canada: IEEE, 2009. 1 - 7. .
"Model Validation of Power System Components Using Hybrid Dynamic Simulation." 2005/2006 IEEE PES Transmission & Distribution Conference. Dallas, TX, USA: IEEE, 2006. 153 - 160. .