New Droop Control Technique for Reactive Power Sharing of Parallel Inverters in Islanded Microgrid

Daili, Yacine; Harrag, Abdelghani; Bennia, Ilyas

doi:10.1007/978-3-030-63846-7_32

Cited by 4 publications

(4 citation statements)

References 16 publications

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“…The current is decreased smoothly without presenting disturbances Figure 7(c), the load 2 is turned on another time at t=9s similarly, the proposed SC compensate the error quickly and fixed the frequency to their reference value, the current is increased to supply the loads Figure 7(d). The reactive power-sharing is not equal as shown in Figure 7(d) due to the inherent limitation of the droop control method [47], [48].…”

Section: Frequency Restoration and Active Power-sharing During Load D...mentioning

confidence: 99%

Decentralized secondary control for frequency regulation based on fuzzy logic control in islanded microgrid

Bennia

Harrag

Daili

et al. 2022

IJEECS

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This paper presents a fuzzy-based decentralized secondary control for frequency restoration and active power-sharing in an islanded microgrid, this controller uses the local frequency error to generate an extra term for compensating the deviation and maintaining accurate active power-sharing. No communication infrastructures are needed, event detection, time dependent-protocols, and state estimation are not required. Its design and implementation are straightforward, also, it offers quick dynamic frequency recovery with accurate active power-sharing. To verify the validity of the proposed controller, several tests have been carried out: frequency restoration and active power-sharing during load disturbances, synchronization with plug and play (PnP) ability, as well the communication latency impact. Moreover, the effect of data drop-out and interferences were analyzed in real-time simulation using Truetime. The results have shown the high capability and the fast response of frequency restoration while maintaining the active power-sharing, no oscillations and ripples were presented in steady-state response, likewise, a smooth dynamic response during PnP test is observed. The communication latency and interferences have no impact on the proposed controller that showing a significant improvement in settling time 50% without frequency packet losses and 81%, 90% in the presence of 30% and 70% of frequency packet losses respectively.

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Section: Frequency Restoration and Active Power-sharing During Load D...mentioning

confidence: 99%

Decentralized secondary control for frequency regulation based on fuzzy logic control in islanded microgrid

Bennia

Harrag

Daili

et al. 2022

IJEECS

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“…The Δ symbol represents a small disturbance around the state of equilibrium, the coefficient a, b,c, and d can be obtained by calculating the partial derivative correspond and the defined as follows : Where 𝑀 = 4𝑋 + 𝑋 3 𝑅 2 .…”

Section: Small-signal Model and Stability Analysismentioning

confidence: 99%

“…Droop control is the most adopted approach in primary control, due to their main feature of sharing the power between paralleled inverters without need for communication especially in island mode [3], the droop control provides the frequency and voltage magnitudes according to the measured active and reactive powers, however, in case of a large load transition it can be lead for losing the stability of the system, which requires a good tuning of droop parameters to deal with this problem [4].…”

Section: Introductionmentioning

confidence: 99%

Small-signal modelling and stability analysis of island mode microgrid paralleled inverters

2021

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The autonomous operation mode of paralleled inverters in microgrids can be intentional or unintentional in order to ensure the continuity of supply. In this mode the voltage and frequency magnitudes are held by local controllers using droop control, this latter is generally considered to be the most adopted technic for the primary layer in a multilayer control structure due to their main feature of sharing the power equally between inverters, without needing communication infrastructure, the design of droop parameters is very crucial because a bad design can lead to the instability of the system. This paper presents a small-signal analysis for an MG composed of parallel-connected inverters in island mode and controlled using the droop method, aiming to analyze the stability by performing eigenvalues and sensitivity analysis which allows obtaining the behavior of the system, analyze the interaction between the different elements and study the influence of the droop parameters on this later which helps in the design procedure, small-signal model and Simulink block model was developed and simulated. Simulation results show a high correspondence and agreement between the model developed using Matlab Simulink-SimPowerSystem library and the developed small-signal model which confirms the validity of this later.

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“…Tis causes the system to respond very quickly compared to traditional grids, making the system's stability very sensitive to disturbances [18]. Droop control is commonly recognized as a pivotal strategy due to its capability to simultaneously fne-tune both voltage and frequency [19]. Tis feature facilitates the distribution of power among parallel generation units, bypassing the necessity for communication between inverters [20].…”

Section: Introductionmentioning

confidence: 99%

Stability and Reactive Power Sharing Enhancement in Islanded Microgrid via Small-Signal Modeling and Optimal Virtual Impedance Control

Bennia,

Daili,

Harrag

et al. 2024

International Transactions on Electrical Energy Systems

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In the context of integrating Renewable Energy Sources, Microgrid (MG) development is pivotal, particularly as a foundational technology for Smart-Grid evolution. Despite advancements in control techniques, challenges persist in ensuring system stability and accurate power sharing across diverse operational conditions and load types. The objective of this research is to control numerous paralleled inverters-based distributed generators (DGs) that contribute to power sharing in an island MG. The proposed methodology involves developing an innovative small-signal model for islanding MGs that incorporate virtual impedances. Subsequently, optimization algorithms based on Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are proposed and compared for designing the virtual impedances. These algorithms analyze all potential operating points, aiming to minimize reactive power mismatches while maximizing MG stability. The suggested objective function facilitates the simultaneous achievement of these objectives. The proposed approaches were tested using MATLAB-Simulink software, and the comparison of the results between conventional approach and the proposed optimal approaches shows significant improvement in terms of the dynamic response during load changes, such as a decrease in response time by up to 20%, a reduction in overshoot percentage by approximately 15%, and a settling time improvement of nearly 25%. These quantified improvements highlight the effectiveness of the GA and PSO methods in minimizing the reactive power-sharing error while optimizing MG performance and stability.

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New Droop Control Technique for Reactive Power Sharing of Parallel Inverters in Islanded Microgrid

Cited by 4 publications

References 16 publications

Decentralized secondary control for frequency regulation based on fuzzy logic control in islanded microgrid

Decentralized secondary control for frequency regulation based on fuzzy logic control in islanded microgrid

Small-signal modelling and stability analysis of island mode microgrid paralleled inverters

Stability and Reactive Power Sharing Enhancement in Islanded Microgrid via Small-Signal Modeling and Optimal Virtual Impedance Control

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