Power-Sharing Control in an Islanded Microgrid using Virtual Impedance

Hosseinimoghadam, Seyed Mohammad Sadegh; Roghanian, Hamzeh; Dashtdar, Masoud; Razavi, Seyed Mohammad Javad

doi:10.1109/icsmartgrid49881.2020.9144802

Cited by 18 publications

(8 citation statements)

References 20 publications

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“…Using low pass filter (LPF) and Laplace transform to Equation (4), and some simplifications considering the feeder impedance effect, it could be derived that: 19) and finally, the closed loop three order system, equation is achieved in (20).…”

Section: Control Approachmentioning

confidence: 99%

See 1 more Smart Citation

Droop Method Development for Microgrids Control Considering Higher Order Sliding Mode Control Approach and Feeder Impedance Variation

et al. 2021

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Due to the growing power demands in microgrids (MGs), the necessity for parallel production achieved from distributed generations (DGs) to supply the load required by customers has been increased. Since the DGs have to procure the demand in parallel mode, they are faced with several technical and economic challenges, such as preventing DGs overloading and not losing network stability considering feeder impedance variation. This paper presents a method that upgrades the droop controller based on sliding mode approach, so that DGs are able to prepare a suitable reactive power sharing without error even in more complex MGs. In the proposed strategy, the third-order sliding mode controller significantly reduces the V-Q error and increases the accuracy in adjusting the voltage at the DG output terminals. Various case studies conducted out in this paper validate the truthfulness of the proposed method, considering the stability analysis using Lyapunov function. Finally, by comparing the control parameters of the proposed technique with existing methods, the superiority, simplicity and effectiveness of the 3rd order sliding mode control (SMC) method are determined.

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Section: Control Approachmentioning

confidence: 99%

“…In general, reactive power sharing according to the droop control method is considered a problem due to the unequal feeder impedance, while the nonlinear and unbalanced loads also affect this issue [19]. As a complement to the droop method, virtual impedance loops were provided in [20] to improve reactive power sharing.…”

Section: Introductionmentioning

confidence: 99%

Droop Method Development for Microgrids Control Considering Higher Order Sliding Mode Control Approach and Feeder Impedance Variation

et al. 2021

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“…The advantage of islands is to increase the reliability and quality of power of the actual subscribers in the microgrid. In the mode of network connection, the frequency and power of the microgrid follow the main network and only need to control the power of the units [3,4]. But in the island mode, the frequency and voltage of the microgrid fluctuate and require independent control [5].…”

Section: Introductionmentioning

confidence: 99%

Frequency control of the islanded microgrid based on optimised model predictive control by PSO

Dashtdar

Aymen

El‐Bayeh³

et al. 2022

IET Renewable Power Gen

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In this paper, the amount of microgrid frequency deviation in the dynamic state can be reduced by improving the frequency controller and implementing a new method. The proposed controller is designed for a microgrid including renewable resources, and the proposed control strategy is such that the controller coefficients are adjusted and optimised at all times by the model predictive control (MPC). The weight parameters of the MPC controller have been optimised by the particle swarm optimisation (PSO) algorithm. The proposed controller is located in the secondary frequency control loop, and by applying a control signal to the sources, the frequency perturbations following the power changes in the microgrid are reduced. The simulation results show that the proposed controller performs better than the Ziegler-Nichols PI controller (PI-ZN) method, PI-based controllers that rely on fuzzy logic (PI-Fuzzy), the fractional-order proportional-integral-derivative (FOPID) controller that is based on chaos particle swarm optimisation (FOPID-CPSO) algorithm and the PID controllers based on CPSO algorithm (PID-CPSO). It has been able to effectively reduce the frequency fluctuations in terms of amplitude and number of oscillations is also more resistant to the uncertainty of microgrid parameters and shows better performance when changing parameters than other methods.

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“…In network connection mode, an active-reactive power control method is used, while in island mode, a voltage-frequency control technique is used. In this instance, the DG unit must provide maximum power while maintaining system stability [5][6][7]. Researchers have recently developed power controllers based on the internal current control loop that improves network configuration.…”

Section: Introductionmentioning

confidence: 99%

Improving the Power Quality of Island Microgrid With Voltage and Frequency Control Based on a Hybrid Genetic Algorithm and PSO

et al. 2022

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An efficient power control technique for inverter-based distributed generation (DG) in an islanded microgrid is investigated in this work. The objective is to raise the caliber of the electricity pumped from network-connected DGs. The characteristics that are taken into consideration include voltage and frequency control, dynamic response, and steady-state response, particularly when the microgrid is operating in island mode or when there is a load change. The control method consists of an internal current control loop and an external power control loop based on a synchronous reference frame and a conventional PI controller. The power controller is designed based on voltage-frequency (VF) control. In addition, an intelligent search technique that combines Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) is utilized to automatically modify power controller parameters. The control technique in this research is that the DG modifies its control mode to modify the system voltage and frequency when the microgrid is islanded or load conditions change. The simulation results in MATLAB/SIMULINK software show that the proposed control system has been able to improve the power quality well.

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Power-Sharing Control in an Islanded Microgrid using Virtual Impedance

Cited by 18 publications

References 20 publications

Droop Method Development for Microgrids Control Considering Higher Order Sliding Mode Control Approach and Feeder Impedance Variation

Droop Method Development for Microgrids Control Considering Higher Order Sliding Mode Control Approach and Feeder Impedance Variation

Frequency control of the islanded microgrid based on optimised model predictive control by PSO

Improving the Power Quality of Island Microgrid With Voltage and Frequency Control Based on a Hybrid Genetic Algorithm and PSO

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