Identification and Analysis of Technical Impacts in the Electric Power System Due to the Integration of Microgrids

Escobar-Orozco, Luisa Fernanda; Gómez-Luna, Eduardo; Marlés-Sáenz, Eduardo

doi:10.3390/en16186412

Cited by 2 publications

(2 citation statements)

References 72 publications

(170 reference statements)

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“…In many cases, the electric system is designed to intentionally form islands. For instance, an electrical microgrid could be designed to continue operating in island mode in the event of a power supply failure from the main grid [3,4]. Accidentally formed, or unintended, islands are not planned as such and therefore are not prepared to operate independently of the main electrical system.…”

Section: Introduction 1background and Motivationmentioning

confidence: 99%

Bayesian Entropy Methodology: A Novel Approach to Setting Anti-Islanding Protections with Enhanced Stability and Sensibility

Seguin Batadi,

Martínez,

Molina

2024

Energies

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The risk of unintentional islanding creation in distributed energy systems poses a significant security concern since unintentional islanding formation could lead to a supply of energy outside of the optimal quality limits. This constitutes a risk for users, maintenance personnel, infrastructure, and devices. To mitigate this problem, anti-islanding protections are widely used to prevent the distributed generator from feeding a portion of the radial distribution grid when a protection device trips upstream. However, the effectiveness of these protections heavily relies on properly tuning protection setting thresholds (such as time delay and pickup). This work proposes a novel approach that utilizes entropy as a model and metric of the uncertainty associated with a particular protection setting. By minimizing entropy, the proposed method aims to improve stability and sensitivity, consequently improving the overall performance of anti-islanding protection. Simulation results demonstrate that the Bayesian entropy methodology (BEM) approach achieves enhanced stability in various scenarios, including frequency transients, and demonstrates a notable reduction in the size of the dataset and computational burden, ranging between 91% and 98%, when compared to related works, with an improvement of the uncertainty achieved. The findings of this study contribute to the development of more robust and reliable anti-islanding protections.

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Section: Introduction 1background and Motivationmentioning

confidence: 99%

Bayesian Entropy Methodology: A Novel Approach to Setting Anti-Islanding Protections with Enhanced Stability and Sensibility

Seguin Batadi,

Martínez,

Molina

2024

Energies

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“…Microgrids have risen in popularity, resulting in a steadier and more reliable energy source. A microgrid is described as the integration of a localized supply of power and a load [4]. The US Department of Energy's Idaho National Laboratory launched the net-zero MG Program in 2021 to integrate renewable energy into existing and new microgrids.…”

Section: Introductionmentioning

confidence: 99%

ILA Optimisation Based Control for Enhancing DC Link Voltage with Seamless and Adaptive VSC Control in a PV-BES Based AC Microgrid

Samoon,

Hussain,

Iqbal

2023

Energies

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The paper presents a grid-connected microgrid with a photovoltaic system and a battery as a storage element. The optimal design and control of storage elements and power quality improvement are enhanced using sigmoid-function-based variable step size (SFB-VSS) adaptive LMS control. The DC-link voltage and battery current are enhanced using an ILA-optimization-based PI controller. Comparative analysis shows that an ILA-optimized PI controller improves battery stress and DC-link voltage fluctuations, enhancing overall system stability. The relative percentage error of Vdc is only 0.5714% for ILA-optimized values as compared to GA, PSO, and manually tuned PI gains which are 0.857%, 1.14285%, and 0.86%, respectively. ILA-optimized parameters also enhance battery current, reducing stress on the battery. The system was studied under various dynamic conditions, achieving power balance in all conditions. The system has the capability of seamless transfer of control from GC mode to SA mode when the grid is disconnected. The proposed VSC control shows better performance in steady-state and dynamic conditions, maintaining a THD under 5%, which follows IEEE standard 519, and providing better DC offset rejection, fewer oscillations in the weight component of the load, and better convergence. The proposed control also enhances the frequency of the grid, ensuring a smooth transition between modes. The system is simulated in the MATLAB Simulink environment, and all the optimization techniques were carried out offline.

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Identification and Analysis of Technical Impacts in the Electric Power System Due to the Integration of Microgrids

Cited by 2 publications

References 72 publications

Bayesian Entropy Methodology: A Novel Approach to Setting Anti-Islanding Protections with Enhanced Stability and Sensibility

Bayesian Entropy Methodology: A Novel Approach to Setting Anti-Islanding Protections with Enhanced Stability and Sensibility

ILA Optimisation Based Control for Enhancing DC Link Voltage with Seamless and Adaptive VSC Control in a PV-BES Based AC Microgrid

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