Robust control of adaptive power quality compensator in Multi-Microgrids for power quality enhancement using puzzle optimization algorithm

Sindi, Hatem; Alghamdi, Sultan; Rawa, Muhyaddin; Omar, Ahmed I.; Elmetwaly, Ahmed Hussain

doi:10.1016/j.asej.2022.102047

Cited by 21 publications

(14 citation statements)

References 55 publications

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“…Fig 15 depicts the fitness function defined for the different algorithms: the Grey Wolf Optimizer (GWO) [ 29 ], the White Shark Optimizer (WSO) [ 30 ], the particles swarm optimization (PSO) [ 31 ] and, the Whale Optimization Algorithm (WOA) [ 32 ]. The speed of convergence of these different algorithms makes it possible to evaluate the maximum size and power losses of the overall proposed system.…”

Section: Resultsmentioning

confidence: 99%

“…The size of the proposed system is suitable for integrating photovoltaic energy into an electrical system using a LCL filter, which also performs well in terms of electrical power quality [28]. [29], the White Shark Optimizer (WSO) [30], the particles swarm optimization (PSO) [31] and, the Whale Optimization Algorithm (WOA) [32]. The speed of convergence of these different algorithms makes it possible to evaluate the maximum size and power losses of the overall proposed system.…”

Section: Graph Of Convergence Of Functionmentioning

confidence: 99%

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Optimal sizing and power losses reduction of photovoltaic systems using PSO and LCL filters

F. Elnaggar,

Duvalier Péné,

Boussaibo

et al. 2024

PLoS ONE

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The integration of renewable energy systems into electricity grids is a solution for strengthening electricity distribution networks (SEDNs). Renewable energies such as solar photovoltaics are suitable for reinforcing a low-voltage line by offering an electrical energy storage system. However, the integration of photovoltaic systems can lead to problems of harmonic distortion due to the presence of direct current or non-linear feedback in networks from other sources. Therefore, connection standards exist to ensure the quality of the energy before injection at a point of common coupling (PCC). In this work, particle swarm optimization (PSO) is used to control a boost converter and to evaluate the power losses and the harmonic distortion rate. The test on the IEEE 14 bus standard makes it possible to determine the allocation or integration nodes for other sources such as biomass, wind or hydrogen generators, in order to limit the impact of harmonic disturbances (LIHs). The evaluation of the harmonic distortion rate, the power losses as well as the determination of the system size is done using an objective function defined based on the integration and optimization constraints of the system. The proposed model performs better since the grid current and voltage are stabilized in phase after the photovoltaic source is injected.

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Section: Resultsmentioning

confidence: 99%

Section: Graph Of Convergence Of Functionmentioning

confidence: 99%

Optimal sizing and power losses reduction of photovoltaic systems using PSO and LCL filters

F. Elnaggar,

Duvalier Péné,

Boussaibo

et al. 2024

PLoS ONE

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show abstract

“…The suggested control scheme for DVR Figure 3 depicts a comparison of V L to the standard voltage; controller timing to power voltage. A detailed explanation of the controller's design is that the DVR voltages are converted into gate pulses that turn on the voltage-sensing inductor (VSI), which dampens voltage increases and compensates for decreases [23]. As shown in research [24], the proposed DVR can be operated in just five simple steps.…”

Section: Operating Principle Of the Proposed Dvrmentioning

confidence: 99%

“…(VI) is an abbreviation of the variables' independent looks, where 𝑂 𝑇 is a number of linked lines that needs to be opened the and number of them is 𝑁𝑜. As stated in the equation (23). The integer number assigned to the open connect lines should never be less than or equal to the number of linked lines, also Figure 5 shows the behavior of the jellyfish optimization technique as a flow chart.…”

Section: Technique For Jellyfish Search Optimizationmentioning

confidence: 99%

Mitigation of voltage sag and voltage swell by using dynamic voltage restorer

Mattar,

Mahmoud,

El-Sayed

2024

IJPEDS

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Recent power quality (PQ) research shows that the most common types of power quality disturbances are voltage sags and swells in medium and low-voltage distribution grids. This paper shows how to improve two significant power quality disturbances: sags and swells voltage. To find out what effect these two PQ issues have in real life, a study case based on real nonlinear loads data from large induction motors at Beshai Company in Sadat City in Egypt is investigated. The dynamic voltage restorer (DVR) has been suggested as a solution to the voltage swell and voltage sag issues. The point of common coupling (PCC) is linked with the dynamic voltage restorer to mitigate the PQ problems that have been found. The power network, loads, and DVR may all be modeled using the MATLAB/Simulink platform. The jellyfish search optimizer (JFS) is used to get the gain settings of the proportional and integral (PI) controller for the proposed DVR. MATLAB/Simulink's results show that the proposed device is effective, reliable, and has low latency.

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“…: It is used to convert voltage from the DC battery to AC to inject the desired voltage magnitude, phase, and frequency into the transformer [24].…”

Section: B) Voltage Source Inverter (Vsi)mentioning

confidence: 99%

Power Quality Improvement Considering Voltage Sag and Unbalance Using DVR

Matter

Mahmoud

Elsayed

2023

Journal of Al-Azhar University Engineering Sector

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According to recent power quality (PQ) studies, voltage sags and voltage unbalance in medium voltage and low voltage distribution grids are the most common type of power quality problems. This paper presents a solution to two different types of power quality issues; voltage sag and voltage unbalance. In order to study the actual impact of these two PQ issues, a study case based on real nonlinear loads data consists of large induction motors, located at Beshai Company in Sadat city, are investigate, the dynamic voltage restorer (DVR) is proposed to eliminate the voltage unbalance and the voltage sag problems. The dynamic voltage restorer is linked to the PCC to improve the PQ issues that have been identified. Matlab Simulink platform is used to simulate the power network, loads, and the dynamic voltage restorer (DVR). The jellyfish search optimizer (JFS) is utilized to get the gain values of the PI controller for the proposed DVR. The results of Matlab/Simulink advocate the proposed device's effectiveness, robustness, and latency.

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Robust control of adaptive power quality compensator in Multi-Microgrids for power quality enhancement using puzzle optimization algorithm

Cited by 21 publications

References 55 publications

Optimal sizing and power losses reduction of photovoltaic systems using PSO and LCL filters

Optimal sizing and power losses reduction of photovoltaic systems using PSO and LCL filters

Mitigation of voltage sag and voltage swell by using dynamic voltage restorer

Power Quality Improvement Considering Voltage Sag and Unbalance Using DVR

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