Modeling and synthesis of DES supervisory control for coordinating ULTC and SVC

Noorbakhsh, Mahvash; Afzalian, Ali A.

doi:10.1109/acc.2009.5160107

Cited by 6 publications

(1 citation statement)

References 14 publications

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“…In [55], a decentralized approach to regulate the voltage range of nodes to which DGs are connected was also investigated with similar performance. In [56], the static voltage compensator (SVC) is used as a closed loop along with the theory of DESs to check the stability of the power system, where the proposed model does not have the ability to control the voltage in an acceptable range.…”

Section: Introductionmentioning

confidence: 99%

Stability Analysis and Voltage Control in the Power System Based on the Hybrid Automata Model

Forouzesh

Eslami

Shahbazzadeh

2023

International Transactions on Electrical Energy Systems

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This paper proposes a systematic method using the hybrid automata (HA) model for supervisory management design of power systems to increase stability. The HA model monitors the behavior of the power system and derives a model from which the system’s stability is evaluated. In the modeling framework, the hybrid system formalism regulates continuous dynamics and discrete switching behavior. The proposed method extracts a system’s control graph, state space, and transfer function, facilitating voltage stability evaluation. A discrete event system (DES) is employed to manage disturbances resulting from load surges, generator outages, capacitor banks, and under-load tap changer (ULTC) transformers. The ULTC transformer and the capacitor bank are utilized to examine the feasibility and effectiveness of the proposed supervisory controller design approach in the presence of distributed generation (DG). Simulation results showed the effectiveness of the HA-based supervisory controller in improving the control and voltage stability, as demonstrated by the generator rotor angle and bus voltage responses, power system eigenvalues, and the stability theorem of linear switching systems. The proposed method provides a promising solution for managing power system stability.

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Section: Introductionmentioning

confidence: 99%