Optimized Control and Power Sharing in Microgrid Network

Jouda, Mohammed Said; Kahraman, Nihan

doi:10.1109/sgcf.2019.8782374

Cited by 3 publications

(3 citation statements)

References 9 publications

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“…The particle velocity and the new position of particles can be updated by applying Equations ( 1) and ( 2) to obtain the best particle position group. The main goal is to improve the conventional droop control method by using the PSO algorithm to achieve good load sharing and transient response, as shown in Figure 5 [21]. The results are compared to the H∞ controller with the ABC algorithm, as explained in section 4.2.…”

Section: Particle Swarm Optimization Algorithmmentioning

confidence: 99%

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Improved Optimal Control of Transient Power Sharing in Microgrid Using H-Infinity Controller with Artificial Bee Colony Algorithm

Jouda

Kahraman

2022

Energies

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The microgrid has two main steady-state modes: grid-connected mode and islanded mode. The microgrid needs a high-performance controller to reduce the overshoot value that affects the efficiency of the network. However, the high voltage value causes the inverter to stop. Thus, an improved power-sharing response to the transfer between these two modes must be insured. More important points to study in a microgrid are the current sharing and power (active or reactive) sharing, besides the match percentage of power sharing among parallel inverters and the overshoot of both active and reactive power. This article aims to optimize the power response in addition to voltage and frequency stability, in order to make this network’s performance more robust against external disturbance. This can be achieved through a self-tuning control method using an optimization algorithm. Here, the optimized droop control is provided by the H-infinity (H∞) method improved with the artificial bee colony algorithm. To verify the results, it was compared with different algorithms such as conventional droop control, conventional particle swarm optimization, and artificial bee colony algorithms. The implementation of the optimization algorithm is explained using the time domain MATLAB/SIMULINK simulation model.

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Section: Particle Swarm Optimization Algorithmmentioning

confidence: 99%

“…The small-signal module for the power sharing feedback closed system is shown in Figure 11. The following transfer function is described by Equation (21). The feedback control system was designed by the droop controller PID tuning method with:…”

Section: Inverter's Power Regulatormentioning

confidence: 99%

Improved Optimal Control of Transient Power Sharing in Microgrid Using H-Infinity Controller with Artificial Bee Colony Algorithm

Jouda

Kahraman

2022

Energies

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“…A new control strategy to enhance microgrid operation and reliability was introduced in [15]; the study included modeling, stability analysis, and control of parallel MG inverters. An improved scheme with a reactive power-sharing and parallel inverters circulatingcurrent limiting was proposed in [16]. The study employed an optimization technique to determine the best droop parameters that reduce voltage and frequency deviation in islanded MGs.…”

Section: Introductionmentioning

confidence: 99%

Power Loss and Total Load Demand Coverage in Stand-Alone Microgrids: A Combined and Conventional Droop Control Perspectives

2022

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Conventional droop control plays an essential role in microgrids with distributed generators, DGs, and variable load demand. Despite its advantages, the conventional droop scheme does not take into account the minimization of power losses and the maximization of the total load coverage. Moreover, most of the nonconventional droop control studies that address power loss consider one variable load. This study proposes a combined droop scheme and inspects its effects on power loss minimization and total load coverage. The proposed scheme combines conventional and nonconventional droop schemes and constructs a 3D P-f droop characteristic that takes into account the presence of two variable loads. Four and six-bus microgrids are adopted to simulate and illustrate the system behavior in MatLab. Results are compared to the standard fully conventional droop approach; results showed that the combined scheme has higher performance in terms of power loss gain and total load coverage.

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Accurate Power Sharing and Synchronization Strategies in Mesh Islanded or Grid-Connected Microgrids

Hennane

Berdai

Pierfederici

et al. 2021

2021 10th International Conference on Power Science and Engineering (ICPSE)

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Optimized Control and Power Sharing in Microgrid Network

Cited by 3 publications

References 9 publications

Improved Optimal Control of Transient Power Sharing in Microgrid Using H-Infinity Controller with Artificial Bee Colony Algorithm

Improved Optimal Control of Transient Power Sharing in Microgrid Using H-Infinity Controller with Artificial Bee Colony Algorithm

Power Loss and Total Load Demand Coverage in Stand-Alone Microgrids: A Combined and Conventional Droop Control Perspectives

Accurate Power Sharing and Synchronization Strategies in Mesh Islanded or Grid-Connected Microgrids

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