6 papers
Sample-Based Piecewise Linear Power Flow Approximations Using Second-Order Sensitivities
Paprapee Buason, Sidhant Misra, Daniel K. Molzahn
The inherent nonlinearity of the power flow equations poses significant challenges in accurately modeling power systems, particularly when employing linearized approximations. Alth…
Strategic Electric Distribution Network Sensing via Spectral Bandits
Samuel Talkington, Rahul Gupta, Richard Asiamah +2
Despite their wide-scale deployment and ability to make accurate high-frequency voltage measurements, communication network limitations have largely precluded the use of smart mete…
Conservative Bias Linear Power Flow Approximations: Application to Unit Commitment
Paprapee Buason, Sidhant Misra, Daniel K. Molzahn
Accurate modeling of power flow behavior is essential for a wide range of power system applications, yet the nonlinear and nonconvex structure of the underlying equations often lim…
Adaptive Power Flow Approximations with Second-Order Sensitivity Insights
Paprapee Buason, Sidhant Misra, Jean-Paul Watson +1
The power flow equations are fundamental to power system planning, analysis, and control. However, the inherent non-linearity and non-convexity of these equations present formidabl…
Fairness-aware Photovoltaic Generation Limits for Voltage Regulation in Power Distribution Networks using Conservative Linear Approximations
Rahul K. Gupta, Paprapee Buason, Daniel K. Molzahn
This paper proposes a framework for fairly curtailing photovoltaic (PV) plants in response to the over-voltage problem in PV-rich distribution networks. The framework imposes PV ge…
A Data-Driven Sensor Placement Approach for Detecting Voltage Violations in Distribution Systems
Paprapee Buason, Sidhant Misra, Samuel Talkington +1
Stochastic fluctuations in power injections from distributed energy resources (DERs) combined with load variability can cause constraint violations (e.g., exceeded voltage limits)…