Modeling and Adaptive Control and Power Sharing in Islanded AC Microgrids

Ghazzali, Mohamed; Haloua, Mohamed; Giri, F.

doi:10.1007/s12555-019-0222-2

Cited by 13 publications

(10 citation statements)

References 29 publications

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“…1, where V * id and V * iq are the references of the direct and quadratic components of the output voltage of DG i, respectively; V t,i , I t,i , R ti , L ti are the voltage, current, resistance, and impetance of VSC terminal, respectively; and the subscript i + 1 denotes DG i + 1. DG i can be modeled in the d-q framework by the follwoing large-signal dynamical model [38]:…”

Section: Large-signal Dynamical Model Of Islanded Microgridsmentioning

confidence: 99%

Fixed-time Distributed Voltage and Reactive Power Compensation of Islanded Microgrids Using Sliding-mode and Multi-agent Consensus Design

Ghazzali

Haloua

Giri

2022

Journal of Modern Power Systems and Clean Energy

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This paper investigates a fixed-time distributed voltage and reactive power compensation of islanded microgrids using sliding-mode and multi-agent consensus design. A distributed sliding-mode control protocol is proposed to ensure voltage regulation and reference tracking before the desired preset fixed-time despite the unknown disturbances. Accurate reactive power sharings among distributed generators are maintained. The secondary controller is synthesized without the knowledge of any parameter of the microgrid. It is implemented using a sparse one-way communication network modeled as a directed graph. A comparative simulation study is conducted to highlight the performance of the proposed control strategy in comparison with finite-time and asymptotic control systems with load power variations.

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Section: Large-signal Dynamical Model Of Islanded Microgridsmentioning

confidence: 99%

Fixed-time Distributed Voltage and Reactive Power Compensation of Islanded Microgrids Using Sliding-mode and Multi-agent Consensus Design

Ghazzali

Haloua

Giri

2022

Journal of Modern Power Systems and Clean Energy

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“…Although Equations ()–() describe a simplified model of multi‐machine power system, they are widely used in control law design (see, e.g., References 4, 6, 8‐11, and 21 and references therein). In References 4, 6, and 8‐11, a whole state of each generator is available for measurement without errors.…”

Section: Model Of Multi‐machine Power System: Problem Formulationmentioning

confidence: 99%

“…Papers 6,7 are devoted to synchronization of electric generators by reducing the total energy of the power system. In Reference 8, a synergistic approach is used to design a nonlinear adaptive control law that ensures the desired voltage of each generator by connection or disconnection of some network areas. In Reference 9, an analogy between generators connected to a common bus and coupled pendulums is considered for decreasing the differences between the generator power angles.…”

Section: Introductionmentioning

confidence: 99%

Synchronization of multi‐machine power systems under disturbances and measurement errors

Furtat

Nekhoroshikh

Гущин

2022

Adaptive Control & Signal

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The problem of multi-machine power system synchronization under parameter uncertainties, emergency modes, and measurement errors is considered. Only power angles of generators corrupted by bounded measurement errors are available for measurement. Emergency modes are associated with the sudden change of reactance of transmission lines. The proposed control law is based on measurement error filtering and left-differences estimation of power angel derivatives. Differently from some recent control schemes, it makes the obtained control law easier to tune and less sensitive to measurement errors. The robust-adaptive control law is suggested under unknown nominal values of reactances, EMFs, and currents. The simulations and experiments illustrate the efficiency of the proposed algorithm and confirm theoretical results in comparison with some existing ones.

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“…Transmission line Figure 1. A two DGs islanded microgrid A large signal non-linear model of DGi, i ∈ {1, ..., n} is given as follows [3]: Where…”

Section: IImentioning

confidence: 99%

“…Two main approaches were suggested for microgrids control: centralized and distributed control. Centralized control has been extensively used in literature for both AC and DC microgrids control [3][4][5][6][7][8][9][10][11][12][13] including secondary control [3][4][5] and power management [6][7][8] among others [9][10][11][12][13]. Distributed control is a modern control approach developed as a natural solution for the naturally distributed systems as a more reliable control strategy, since the control is geographically distributed along with the system.…”

Section: Introductionmentioning

confidence: 99%

Fixed-time observer-based distributed secondary voltage and frequency control of islanded AC microgrids

Ghazzali

Haloua

Giri

2020

IJECE

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This paper deals with the problem of voltage and frequency control of distributed generators (DGs) in AC islanded microgrids. The main motivation of this work is to obviate the shortcomings of conventional centralized and distributed control of micro-grids by providing a better alternative control strategy with better control performance than state-of-the art approaches. A distributed secondary control protocol based on a novel fixed-time observer-based feedback control method is designed for fixed-time frequency and voltage reference tracking and disturbance rejection. Compared to the existing secondary microgrid controllers, the proposed control strategy ensures frequency and voltage reference tracking and disturbance rejection before the desired fixed-time despite the microgrid initial conditions, parameters uncertainties and the unknown disturbances. Also, the controllers design and tuning is simple, straightfor-ward and model-free.i.e, the knowledge of the microgrid parameters, topology, loads or transmission lines impedance are not needed in the design procedure. The use of distributed control approach enhances the reliability of the system by making the control system geographically distributed along with the power sources, by using the neighboring DGs informations instead of the DG’s local informations only and by cooperatively rejecting external disturbances and maintaining the frequency and the voltage at their reference values at any point of the microgrid. The efficiency of the proposed approach is verified by comparing its performance in reference tracking and its robustness to load power variations to some of the works in literature that addressed distributed secondary voltage and frequency control.

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Modeling and Adaptive Control and Power Sharing in Islanded AC Microgrids

Cited by 13 publications

References 29 publications

Fixed-time Distributed Voltage and Reactive Power Compensation of Islanded Microgrids Using Sliding-mode and Multi-agent Consensus Design

Fixed-time Distributed Voltage and Reactive Power Compensation of Islanded Microgrids Using Sliding-mode and Multi-agent Consensus Design

Synchronization of multi‐machine power systems under disturbances and measurement errors

Fixed-time observer-based distributed secondary voltage and frequency control of islanded AC microgrids

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