Coordinated Power Sharing in Islanding Microgrids for Parallel Distributed Generations

Baneshi, Ehsan; Kolahduzloo, Hasan; Ebrahimi, Javad; Mahmoudian, Mehrdad; Pouresmaeil, Edris; Rodrigues, Eduardo M. G.

doi:10.3390/electronics9111927

Cited by 9 publications

(7 citation statements)

References 31 publications

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“…The modifications on both the demand and supply side are needed. The higher energy availability and efficiency are desired and the integration of distributed generation (DG) as well as good control technologies are required from demand and supply side respectively [1].…”

Section: Introductionmentioning

confidence: 99%

Zero Non-Detection Zone for Islanding Detection Based on a Novel Hybrid Passive-Active Technique with Fuzzy Inference System

et al. 2022

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Distributed generation (DG) has reformed the meaning of power generation from large scale to small scale, but unintentional islanding is the main issue when connecting DG and the utility grid. A lot of techniques have been used for detecting islanding, among these techniques, there are passive and active. The main problem of passive techniques is their large non-detection zone (NDZ), while the main drawback of active techniques is their undesirable effect on power quality. In this paper, a proposed hybrid passive–active systematic methodology based on a smart classifier that decides to use an active method instead of a passive one is presented. In the proposed scheme, sensors are used for measuring the reactive power at three terminals: the DG terminal, grid terminal, and load terminal. The novelty in this paper is the accurate detection of islanding within a shorter time either in the normal case or NDZ; also it can differentiate between islanding and grid faults without degrading the power quality of the overall system as the active technique does not have to be used continuously, and so total harmonic distortion does not exceed the standard value (5%) detected by IEEE standards. The proposed scheme was simulated using the MATLAB/Simulink platform, and the results reflect its potential with a comparative study.

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Section: Introductionmentioning

confidence: 99%

Zero Non-Detection Zone for Islanding Detection Based on a Novel Hybrid Passive-Active Technique with Fuzzy Inference System

et al. 2022

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“…In addition, in the islanded mode, the DG sources must also regulate the frequency and voltage levels to ensure matching between the generated power to the load demand to maintain the power quality for consumers [4]. Nevertheless, in the islanded operation mode, because of the low inertia of the RESs, the variation in the load demand and uncertainty in the output of the DGs renders the voltage and frequency control of the MG highly challenging [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…Several control techniques have been implemented to realize inverter control in the microgrid operation. These methods include linear techniques such as proportionalintegral (PI) control with pulse width modulation (PWM) and space vector modulation (SVM) [11,12], dead-beat control [1,[3][4][5][6][7][8][9][10][11][12][13][14][15], proportional-resonant (PR) [16,17] control, hysteresis control [18], H-infinity control [3,19], repetitive control [20,21], and linear quadratic control (LQR) [22]. However, these control methods involve certain disadvantages.…”

Section: Introductionmentioning

confidence: 99%

A Nonlinear Integral Backstepping Controller to Regulate the Voltage and Frequency of an Islanded Microgrid Inverter

et al. 2021

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The islanded operation mode of a microgrid system is usually affected by the system uncertainties, such as the load, source, and parameter variations. In such systems, the voltage and frequency must be regulated to maintain the power quality during islanded operation. As an approach to control the voltage and frequency, in this study, a decentralized nonlinear integral backstepping controller for the voltage source inverter used in an islanded microgrid is developed. First, the dynamical model of the inverter-based distribution generations (DGs) in microgrid system is developed. Subsequently, the model-based controller for the microgrid is built using dynamics of inverter-based DGs and Lyapunov theory, which could eliminate the voltage and frequency deviations in the system under different uncertainties. To ensure the system stability, a control Lyapunov function is adopted. Considering the influence of irradiations and other meteorological variables fluctuations a battery energy storage (BESS) is applied on the DC side to suppress the fluctuations of output power of DGs. Furthermore, the efficiency of the designed controller was validated through simulations in the MATLAB/Simulink environment under different scenarios and effectiveness of the proposed framework is further validated by real-time hardware in loop (HIL) experiments. In addition, the performance of the proposed controller is compared with a conventional backstepping (BS) controller. The comparison results demonstrate that the efficiency of the designed controller in terms of obtaining steady-state operating conditions is better than that of the BS controller.

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“…In addition to sharing reactive power, adjusting the acceptable voltage profile for consumers is also a particular importance [9][10][11]. There are several techniques that have been proposed to improve the droop characteristic of parallel inverters such as semi-centralized control [12], adaptive voltage characteristic [13], virtual frame [14], signal injection [15], and virtual impedance [16]. In [16], in order to achieve proper load sharing and reduction of circulating current for different line impedances, the concept of virtual impedance along with single-cycle control has been utilized.…”

Section: Introductionmentioning

confidence: 99%

Distributed Generation Control Using Modified PLL Based on Proportional-Resonant Controller

2020

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Due to the increasing necessity for electrical demand, the microgrids (MGs) based on distributed generations (DGs) within power electronic interfaces are being extended to improve the traditional network control. One of the common ways to achieve power sharing among the resources on an islanding MG is to use the droop control approach, performing based on proportional-integrator (PI) controllers. However, due to the effect of feeder impedance, obtaining the reactive power sharing using this method is not accurate and leads to overload in some DGs, resulting in the output terminal voltage of each DG going outside of the allowable range. The second problem arises when the frequency measurement is not performed precisely, leading to inaccurate active power sharing, which can be solved by using an improved phase locked loop (PLL). Therefore, the purpose of this paper is to propose an applicable and simple approach based on the use of conventional droop characteristics and a proportional-resonant (PR) controller in a DG control system. Due to the load changes in the microgrid and other contingencies, the proposed PLL-based controller is able to represent supreme performance with low error in several case studies.

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Coordinated Power Sharing in Islanding Microgrids for Parallel Distributed Generations

Cited by 9 publications

References 31 publications

Zero Non-Detection Zone for Islanding Detection Based on a Novel Hybrid Passive-Active Technique with Fuzzy Inference System

Zero Non-Detection Zone for Islanding Detection Based on a Novel Hybrid Passive-Active Technique with Fuzzy Inference System

A Nonlinear Integral Backstepping Controller to Regulate the Voltage and Frequency of an Islanded Microgrid Inverter

Distributed Generation Control Using Modified PLL Based on Proportional-Resonant Controller

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