Analytical solution to swing equations in power grids


Autoři: HyungSeon Oh aff001
Působiště autorů: Department of Electrical and Computer Engineering, United States Naval Academy, Annapolis, Maryland, United States of America aff001
Vyšlo v časopise: PLoS ONE 14(11)
Kategorie: Research Article
doi: 10.1371/journal.pone.0225097

Souhrn

Objective

To derive a closed-form analytical solution to the swing equation describing the power system dynamics, which is a nonlinear second order differential equation.

Existing challenges

No analytical solution to the swing equation has been identified, due to the complex nature of power systems. Two major approaches are pursued for stability assessments on systems: (1) computationally simple models based on physically unacceptable assumptions, and (2) digital simulations with high computational costs.

Motivation

The motion of the rotor angle that the swing equation describes is a vector function. Often, a simple form of the physical laws is revealed by coordinate transformation.

Methods

The study included the formulation of the swing equation in the Cartesian coordinate system, which is different from conventional approaches that describe the equation in the polar coordinate system. Based on the properties and operational conditions of electric power grids referred to in the literature, we identified the swing equation in the Cartesian coordinate system and derived an analytical solution within a validity region.

Results

The estimated results from the analytical solution derived in this study agree with the results using conventional methods, which indicates the derived analytical solution is correct.

Conclusion

An analytical solution to the swing equation is derived without unphysical assumptions, and the closed-form solution correctly estimates the dynamics after a fault occurs.

Klíčová slova:

Differential equations – Eigenvalues – Electrical faults – Inertia – Rotors – Simulation and modeling – System instability – Mechanical energy


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Článek vyšel v časopise

PLOS One


2019 Číslo 11