Two‐step method for identifying photovoltaic grid‐connected inverter controller parameters based on the adaptive differential evolution algorithm

Liu, Zhongqian; Wu, Hongbin; Jin, Weihong; Xu, Bin; Ji, Yu; Wu, Ming

doi:10.1049/iet-gtd.2017.0572

Cited by 16 publications

(14 citation statements)

References 20 publications

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“…However, many studies have shown that PSO does not guarantee global convergence for nonlinear complex system problems, and may easily converge prematurely or cause the convergence rate to be too slow [57][58][59]. Other global optimization algorithms have also been suggested for the application of nonlinear systems, such as genetic algorithm (GA), differential evolution (DE), simulated annealing (SA), and ant colony optimization (ACO) [60][61][62][63][64][65][66][67]. However, these methods still have hidden shortcomings, for example, they are prone to premature convergence to the local optimum.…”

Section: Introductionmentioning

confidence: 99%

Robust Optimal Tracking Control of a Full-Bridge DC-AC Converter

Chang

Cheng

2021

Applied Sciences

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This paper develops a full-bridge DC-AC converter, which uses a robust optimal tracking control strategy to procure a high-quality sine output waveshape even in the presence of unpredictable intermissions. The proposed strategy brings out the advantages of non-singular fast convergent terminal attractor (NFCTA) and chaos particle swarm optimization (CPSO). Compared with a typical TA, the NFCTA affords fast convergence within a limited time to the steady-state situation, and keeps away from the possibility of singularity through its sliding surface design. It is worth noting that once the NFCTA-controlled DC-AC converter encounters drastic changes in internal parameters or the influence of external non-linear loads, the trembling with low-control precision will occur and the aggravation of transient and steady-state performance yields. Although the traditional PSO algorithm has the characteristics of simple implementation and fast convergence, the search process lacks diversity and converges prematurely. So, it is impossible to deviate from the local extreme value, resulting in poor solution quality or search stagnation. Thereby, an improved version of traditional PSO called CPSO is used to discover global optimal NFCTA parameters, which can preclude precocious convergence to local solutions, mitigating the tremor as well as enhancing DC-AC converter performance. By using the proposed stable closed-loop full-bridge DC-AC converter with a hybrid strategy integrating NFCTA and CPSO, low total harmonic distortion (THD) output-voltage and fast dynamic load response are generated under nonlinear rectifier-type load situations and during sudden load changes, respectively. Simulation results are done by the Matlab/Simulink environment, and experimental results of a digital signal processor (DSP) controlled full-bridge DC-AC converter prototype confirm the usefulness of the proposed strategy.

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Section: Introductionmentioning

confidence: 99%

Robust Optimal Tracking Control of a Full-Bridge DC-AC Converter

Chang

Cheng

2021

Applied Sciences

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“…The identification focuses on the parameters of PV arrays, controller, or limiters of PV inverter [27,28], but less for the LVRT control parameters. The LVRT control should be contained for the inverter that is the core of the grid-connected PV system, but its controller parameters are not easy to be obtained [29]. The identification based on measured data [30,31] is one of the feasible means to obtain parameters, which is an important link in standardized modeling.…”

Section: Introductionmentioning

confidence: 99%

“…The identification based on measured data [30,31] is one of the feasible means to obtain parameters, which is an important link in standardized modeling. The appropriate disturbance signals should be chosen for parameter identification [29]. The single disturbance excitation method has been applied [32,33], but it lacks verification for various operating conditions.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Parameter Optimization of Grid-Connected Photovoltaic Systems Considering the Low Voltage Ride-through Control

et al. 2020

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The asymmetric faults often cause the power grid current imbalance and power grid oscillation, which brings great instability risk to the power grid. To address this problem, this paper presented a modeling and parameter optimization method of grid-connected photovoltaic (PV) systems, considering the low voltage ride-through (LVRT) control. The harmonics of the grid current under asymmetric faults were analyzed based on the negative-sequence voltage feedforward control method. The notch filter was added to the voltage loop to filter out the harmonic components of the DC bus voltage and reduce the harmonic contents of the given grid current value. The proportional resonant (PR) controller was added to the current loop. The combination of these two components could reduce the 3rd, 5th, and 7th harmonics of the grid current and the output power fluctuation. Then, the parameters of the inverter controller were identified by the adaptive differential evolution (ADE) algorithm based on the sensitivity analysis. The effectiveness of the proposed method was compared with two other strategies under the asymmetric grid faults. The suppression of DC bus voltage fluctuation, power fluctuation, and low-order harmonics of the grid current all had better results, ensuring the safe and stable operation of the PV plant under grid faults.

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“…Various methods have been proposed to estimate or identify the parameters of the VSCs [10], [11], [13], [14], [18]- [21]. The equivalent loss resistance between the VSC and grid, and both equivalent inductance and resistance between the VSC and grid are estimated based on evaluation of closedloop transient responses of the current controller in [18] and [19], respectively.…”

mentioning

confidence: 99%

“…However, only circuit parameters instead of controller parameters can be identified. A two-step parameters identification method is proposed in [21], where step one uses a three-phase fault to identify all voltage loop parameters and proportional coefficient of current loop, and step two uses dc voltage reference jump disturbance to identify the integral coefficient of current loop and inductance of the L-filter. However, how to modify the two-step parameters identification method for LCL-filtered VSC is not explained in [21].…”

mentioning

confidence: 99%

A Robust Circuit and Controller Parameters’ Identification Method of Grid-Connected Voltage-Source Converters Using Vector Fitting Algorithm

Zhou

Torres-Olguin

Gothner

et al. 2022

IEEE J. Emerg. Sel. Topics Power Electron.

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This article presents a vector fitting (VF) algorithmbased robust circuit and controller parameters identification method for grid-connected voltage source converters (VSCs). The dq-domain impedance frequency responses (IFRs) of the VSCs are first measured using frequency scanning method, based on which the corresponding measured phasor-domain IFRs are calculated. Then, polynomial transfer functions are generated by applying the VF algorithm on the measured phasor-domain IFRs, from which the circuit and controller parameters, i.e., LCL filter parameters, digital sampling time, current controller parameters, and phase-locked loop parameters, are identified. Influence of measurement noise on parameters identification accuracy and corresponding countermeasure to mitigate the adverse influence are also theoretically investigated. The proposed method is able to identify the circuit and controller parameters, when detailed parameters are missing due to industrial secrecy or parameters variation caused by operating condition change, temperature fluctuation, or aging. Effectiveness of the proposed circuit and controller parameters identification method is validated by theoretical demonstration, OPAL-RT-based real-time simulation, and experimental validation.Index Terms-Impedance frequency responses, parameters identification, polynomial transfer function, vector fitting algorithm, voltage source converter. I. INTRODUCTIONRenewable energy sources, such as wind power and solar power, have been increasingly penetrating into conventional

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Two‐step method for identifying photovoltaic grid‐connected inverter controller parameters based on the adaptive differential evolution algorithm

Cited by 16 publications

References 20 publications

Robust Optimal Tracking Control of a Full-Bridge DC-AC Converter

Robust Optimal Tracking Control of a Full-Bridge DC-AC Converter

Modeling and Parameter Optimization of Grid-Connected Photovoltaic Systems Considering the Low Voltage Ride-through Control

A Robust Circuit and Controller Parameters’ Identification Method of Grid-Connected Voltage-Source Converters Using Vector Fitting Algorithm

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