IDA-PBC control of an isolated microgrid used as electric vehicle charging station

Magaldi, Guillermo L.; Serra, Federico M.; Angelo, Cristian H. De

doi:10.23919/rpic.2017.8214322

Cited by 2 publications

(2 citation statements)

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“…The elements of x * are selected to achieve the control objectives and fixed by a secondary level controller. The reference of the DC-link voltage is selected as v * dc = V * dc (constant), i * Bat comes from (29), and i * PV is obtained from a maximum power point tracker (MPPT) algorithm such as an incremental conductance (IC) algorithm [9,34].…”

Section: Ida-pbc Controlmentioning

confidence: 99%

“…The control of a MG is generally based on determining the power that must be delivered by each source, including storage elements, to feed a local demand. This implies the need for a primary controller for each power converter and a secondary controller to manage the system energy [9,10]. Depending on the size and utility of the MG, other levels of controller may be necessary, such as demand side management, achieving total control, and improving the efficiency of the entire system [11,12].…”

Section: Introductionmentioning

confidence: 99%

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Voltage Regulation of an Isolated DC Microgrid with a Constant Power Load: A Passivity-based Control Design

et al. 2021

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Passivity-based nonlinear control for an isolated microgrid system is proposed in this paper. The microgrid consists of a photovoltaic array and a battery energy storage connected to a point of common converters, supplying a constant power load. The purpose of this control strategy is to maintain the output direct current voltage in its reference value under load variations, improving battery interaction. The system is represented by its state space averaged model and the proposed controller is designed using the interconnection and damping assignment strategy, which allows obtaining controller parameters while ensuring the closed-loop system stability. The unknown constant power load is estimated using an observer based on the energy function of the system. The behavior of the proposed control strategy is validated with simulation and experimental results.

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Section: Ida-pbc Controlmentioning

confidence: 99%