Solving Power System Differential Algebraic Equations Using Differential Transformation
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Abstract (arXiv)
This paper proposes a novel non-iterative method to solve power system differential algebraic equations (DAEs) using the differential transformation, a mathematical tool that can obtain power series coefficients by transformation rules instead of calculating high order derivatives and has proved to be effective in solving state variables of nonlinear differential equations in our previous study. This paper further solves non-state variables, e.g. current injections and bus voltages, directly with a realistic DAE model of power grids. These non-state variables, nonlinearly coupled in network equations, are conventionally solved by numerical methods with time-consuming iterations, but their differential transformations are proved to satisfy formally linear equations in this paper. Thus, a non-iterative algorithm is designed to analytically solve all variables of a power system DAE model with ZIP loads. From test results on a Polish 2383-bus system, the proposed method demonstrates fast and reliable time performance compared to traditional numerical methods.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 3 Mar 2019.
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Citing papers per year: 2023: 2; 2024: 1.
3 papers.
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- 2024Quantum Neural Networks for Solving Power System Transient Simulation Problem19 May 2024
- 2023PINNSim: A Simulator for Power System Dynamics based on Physics-Informed Neural Networks17 Mar 2023
- 2023Physics-Informed Neural Networks for Time-Domain Simulations: Accuracy, Computational Cost, and Flexibility15 Mar 2023