Estimation of the maximum permissible injections of the distributed generation in the LV networks based on power quality considerations

Rusinaru, Denisa; Manescu, Leonardo Geo; Ciontu, Marian; Buzatu, Cosmin; Alba, Miron; Cojoaca, Adrian

doi:10.1063/1.5045409

Cited by 2 publications

(1 citation statement)

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“…Stability of the terminal voltage represents a critical issue in the implementation of advanced electrical grids such as microgrids and smart grids due to the diversity of the generation systems [1,2]. The electrical devices are manufactured at the specified voltage recorded in each country and can stand a little variation in the voltage; otherwise the device is damaged or the lifetime of the device decreases [3]. The voltage of the generator can be stabilized through the automatic voltage regulator (AVR) [4].…”

Section: Introductionmentioning

confidence: 99%

Robust Model Predictive Control Paradigm for Automatic Voltage Regulators against Uncertainty Based on Optimization Algorithms

et al. 2021

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This paper introduces a robust model predictive controller (MPC) to operate an automatic voltage regulator (AVR). The design strategy tends to handle the uncertainty issue of the AVR parameters. Frequency domain conditions are derived from the Hermite–Biehler theorem to maintain the stability of the perturbed system. The tuning of the MPC parameters is performed based on a new evolutionary algorithm named arithmetic optimization algorithm (AOA), while the expert designers use trial and error methods to achieve this target. The stability constraints are handled during the tuning process. An effective time-domain objective is formulated to guarantee good performance for the AVR by minimizing the voltage maximum overshoot and the response settling time simultaneously. The results of the suggested AOA-based robust MPC are compared with various techniques in the literature. The system response demonstrates the effectiveness and robustness of the proposed strategy with low control effort against the voltage variations and the parameters’ uncertainty compared with other techniques.

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