STATCOM Model Using Holomorphic Embedding

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Abstract

Convergence characteristics of existing Newton-Raphson (N-R) load-flow based FACTS devices models are affected by the choice of initial conditions. Many a time, a solution is either spurious or fails to converge. To overcome the problem of convergence, this paper proposes a holomorphic embedding load-flow method (HELM)-based model of STATCOM. The initial conditions of the proposed model are deterministic and therefore the solution of the model is always unique. The model always converges if the solution exists. The proposed model can be operated in various control modes to regulate different parameters of power systems. The feasibility and convergence characteristics of the proposed model are investigated using benchmark IEEE 30-bus test system.

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APA

Singh, P., & Tiwari, R. (2019). STATCOM Model Using Holomorphic Embedding. IEEE Access, 7, 33075–33086. https://doi.org/10.1109/ACCESS.2019.2902444

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