Frequency domain identification of the utility grid parameters for distributed power generation systems

Moallem, A.; Yazdani, D.; Bakhshai, Alireza; Jain, Praveen

doi:10.1109/apec.2011.5744711

Cited by 6 publications

(4 citation statements)

References 21 publications

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“…where v α and v β are the voltages at the PCC in the α-β channels, v gα and v gβ are the sag voltages at the grid side, and R and L are the resistive and inductive grid impedance. By the decomposition of the voltages and currents in (20) and (21) into the symmetric components, and by using (6)-(9), the amplitudes of the involved magnitudes can be derived. The following relations hold for the amplitudes of the positive and negative sequence at the PCC side…”

Section: Voltage Supportmentioning

confidence: 99%

Positive and Negative Sequence Control Strategies to Maximize the Voltage Support in Resistive–Inductive Grids During Grid Faults

Camacho

Castilla

Miret

et al. 2018

IEEE Trans. Power Electron.

126

112

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Grid faults are one of the most severe perturbations in power systems. During these extreme disturbances, the reliability of the grid is compromised and the risk of a power outage is increased. To prevent this issue, distributed generation inverters can help the grid by supporting the grid voltages. Voltage support mainly depends on two constraints: the amount of injected current and the grid impedance. This paper proposes a voltage support control scheme that joins these two features. Hence, the control strategy injects the maximum rated current of the inverter. Thus, the inverter takes advantage of the distributed capacities and operates safely during voltage sags. Also, the controller selects the appropriate power references depending on the resistive-inductive grid impedance. Therefore the grid can be better supported since the voltage at the point of common coupling is improved. Several voltage objectives, which cannot be achieved together, are developed and discussed in detail. These objectives are threefold: a) to maximize the positive sequence voltage, b) to minimize the negative sequence voltage, and c) to maximize the difference between positive and negative sequence voltages. A mathematical optimal solution is obtained for each objective function. This solution is characterized by a safe peak current injection, and by the optimization of the voltage profile in any type of grid connection. Therefore, the proposed control scheme includes advanced features for voltage support during voltage sags, that are applicable to different power facilities in different types of networks. Due to system limitations, a suboptimal solution is also considered, analyzed and discussed for each of the optimization problems. Experimental results are presented to validate the theoretical solutions.

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Section: Voltage Supportmentioning

confidence: 99%

Positive and Negative Sequence Control Strategies to Maximize the Voltage Support in Resistive–Inductive Grids During Grid Faults

Camacho

Castilla

Miret

et al. 2018

IEEE Trans. Power Electron.

126

112

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“…Then, to implement the proposed control, V + g and V − g need to be computed based on previous power references Q + and Q − and PCC measurements V + and V − according to (19) and (20). Then the targets (V + ) * and (V − ) * are obtained based on the desired safety values V and V for a given sequence angle ϕ by applying (32)- (36). The new positive and negative reactive power references are derived from (38) and (39).…”

Section: Reactive Power Referencesmentioning

confidence: 99%

Reactive Power Control for Distributed Generation Power Plants to Comply With Voltage Limits During Grid Faults

Camacho

Castilla

Miret

et al. 2014

IEEE Trans. Power Electron.

176

110

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“…This technique is so-called black-box identification. The dynamic identification models can be estimated using traditional system identification techniques such as nonlinear autoregressive model [3], a method in the real domain [4], spectral method [5] and artificial methods: neural networks [6]; genetic method [7].…”

Section: Introductionmentioning

confidence: 99%

Real interpolation method for transfer function approximation of distributed parameter system

Tin¹,

Tran²,

Le³

et al. 2019

TELKOMNIKA

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Distributed parameter system (DPS) presents one of the most complex systems in the control theory. The transfer function of a DPS possibly contents: rational, nonlinear and irrational components. This thing leads that studies of the transfer function of a DPS are difficult in the time domain and frequency domain. In this paper, a systematic approach is proposed for linearizing DPS. This approach is based on the real interpolation method (RIM) to approximate the transfer function of DPS by rational-order transfer function. The results of the numerical examples show that the method is simple, computationally efficient, and flexible.

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Frequency domain identification of the utility grid parameters for distributed power generation systems

Cited by 6 publications

References 21 publications

Positive and Negative Sequence Control Strategies to Maximize the Voltage Support in Resistive–Inductive Grids During Grid Faults

Positive and Negative Sequence Control Strategies to Maximize the Voltage Support in Resistive–Inductive Grids During Grid Faults

Reactive Power Control for Distributed Generation Power Plants to Comply With Voltage Limits During Grid Faults

Real interpolation method for transfer function approximation of distributed parameter system

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