Location
Online
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2023 12:00 AM
End Date
7-1-2023 12:00 AM
Description
The power flow problem is fundamental to all aspects of modeling, analysis, operation, and control of transmission and distribution systems. In a nutshell, it amounts to solving for the nodal voltages in the nonlinear active- and reactive power balance equations that characterize the steady-states of AC electric networks. The traditional power flow algorithm is focused on the steady operational state under a single snapshot and calculates the corresponding voltage and power distributions for given nodal power injections and network topology. To better capture the temporal characteristics of power injections and system variables with high accuracy, a linear-time interval regarding nodal power injections is first defined in this paper, and the norms of nodal voltage derivatives are further analyzed, which is leveraged for simplifying the complexity of solving non-linear dynamic time-varying problems. The voltage monotonicity property has been guaranteed under the proposed linear-time interval. Simulation case studies on IEEE 5-bus and modified 118-bus systems have demonstrated the effectiveness and efficiency of the proposed algorithm.
Recommended Citation
Wang, Zongjie, "Quantitative Analysis on Time-series Nodal Voltages in Linear-time Intervals" (2023). Hawaii International Conference on System Sciences 2023 (HICSS-56). 5.
https://aisel.aisnet.org/hicss-56/es/renewable_resources/5
Quantitative Analysis on Time-series Nodal Voltages in Linear-time Intervals
Online
The power flow problem is fundamental to all aspects of modeling, analysis, operation, and control of transmission and distribution systems. In a nutshell, it amounts to solving for the nodal voltages in the nonlinear active- and reactive power balance equations that characterize the steady-states of AC electric networks. The traditional power flow algorithm is focused on the steady operational state under a single snapshot and calculates the corresponding voltage and power distributions for given nodal power injections and network topology. To better capture the temporal characteristics of power injections and system variables with high accuracy, a linear-time interval regarding nodal power injections is first defined in this paper, and the norms of nodal voltage derivatives are further analyzed, which is leveraged for simplifying the complexity of solving non-linear dynamic time-varying problems. The voltage monotonicity property has been guaranteed under the proposed linear-time interval. Simulation case studies on IEEE 5-bus and modified 118-bus systems have demonstrated the effectiveness and efficiency of the proposed algorithm.
https://aisel.aisnet.org/hicss-56/es/renewable_resources/5