The Impact of Distributed Energy Storage on Distribution and Transmission Networks’ Power Quality

Adewumi, Olurotimi Babatunde; Fotis, Georgios; Vita, Vasiliki; Nankoo, Daniel; Ekonomou, Lambros

doi:10.3390/app12136466

Cited by 38 publications

(17 citation statements)

References 31 publications

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“…This technique rearranges the voltage phases to zero, when the waveform passes zero with an increasing edge, and it counts the voltage phase by accruing mode at every sample point. Using the method of detection which based on the specification above, the phases and magnitudes of voltage can be simply calculated, and the voltage sag can be precisely determined [124].…”

Section: Period Phase Methodsmentioning

confidence: 99%

A review on the state of the art of dynamic voltage restorer: topologies, operational modes, compensation methods, and control algorithms

Shah,

Ullah,

Nouman

et al. 2024

Eng. Res. Express

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The state-of-the-art dynamic voltage restorers (DVRs) have advanced significantly in recent years. Modern DVRs can detect voltage sags or dips on the power line in real-time and are able to rapidly inject a compensating voltage to maintain a constant voltage at the load. This helps to improve the power quality of the electrical distribution system and to protect sensitive electronic equipment from voltage fluctuations. One key development in the field of DVRs has been the use of advanced control algorithms that enable the DVR to track the voltage more accurately on the power line and to inject a compensating voltage more accurately. These algorithms can be implemented using digital signal processors (DSPs) or field-programmable gate arrays (FPGAs), which allow for fast and precise control of the DVR. Another important development has been the use of high-frequency inverters in DVRs. These inverters can operate at much higher frequencies than traditional inverters, which allows them to switch on and off more quickly and to inject a more precise compensating voltage. This can help to further improve the power quality of the electrical distribution system. Overall, the state-of-the-art DVR technology continues to evolve, and new advances are being made all the time to improve the performance and reliability of these devices.

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Section: Period Phase Methodsmentioning

confidence: 99%

A review on the state of the art of dynamic voltage restorer: topologies, operational modes, compensation methods, and control algorithms

Shah,

Ullah,

Nouman

et al. 2024

Eng. Res. Express

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show abstract

“…Ref. [41] covers some of these impacts on the electric power system, specifically distribution transformers and underground cables, while [42] examines power quality issues in the distribution system. The primary components of the distribution transformer are the terminals of the magnetic and electrical circuits, the bushings, the tank, the oil, the radiator, the conservator, and the breather.…”

Section: Common Transformer Failuresmentioning

confidence: 99%

Predictive Maintenance for Distribution System Operators in Increasing Transformers’ Reliability

et al. 2023

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Power transformers’ reliability is of the highest importance for distribution networks. A possible failure of them can interrupt the supply to consumers, which will cause inconvenience to them and loss of revenue for electricity companies. Additionally, depending on the type of damage, the recovery time can vary and intensify the problems of consumers. This paper estimates the maintenance required for distribution transformers using Artificial Intelligence (AI). This way the condition of the equipment that is currently in use is evaluated and the time that maintenance should be performed is known. Because actions are only carried out when necessary, this strategy promises cost reductions over routine or time-based preventative maintenance. The suggested methodology uses a classification predictive model to identify with high accuracy the number of transformers that are vulnerable to failure. This was confirmed by training, testing, and validating it with actual data in Colombia’s Cauca Department. It is clear from this experimental method that Machine Learning (ML) methods for early detection of technical issues can help distribution system operators increase the number of selected transformers for predictive maintenance. Additionally, these methods can also be beneficial for customers’ satisfaction with the performance of distribution transformers, which would enhance the highly reliable performance of such transformers. According to the prediction for 2021, 852 transformers will malfunction, 820 of which will be in rural Cauca, which is consistent with previous failure statistics. The 10 kVA transformers will be the most vulnerable, followed by the 5 kVA and 15 kVA transformers.

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“…O. B. Adewumi et al [17] represented the influence of distributed Energy Storage Systems on PQ in distribution and transmission networks is analyzed. M. I. Ahmed et al [18] suggested that the OSS of DG using stochastic radial basis function to minimize the cost.In [19] a comprehensive study in power systema and the possible PQ issues has been studied highlighting the importance of CPD in mitigation of these problems.…”

Section: Introductionmentioning

confidence: 99%

Optimal placement and sizing of custom power devices using APSO and JAYA optimization in radial distribution network

Munnu

Choudhary²

2023

Eng. Res. Express

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With the recent advancement in the field of power electronics devices and an increasing number of nonlinear loads in the power system, the maintenance of good power quality at the consumers’ end is one of the major concerns of today’s power distribution systems. The introduction of a large number of power electronics devices in the system introduces power quality issues like voltage flicker, voltage distortions, harmonic distortions, voltage sag-swell, etc. Due to this, the maintenance of good power quality at the consumer end becomes a major challenge for distribution companies. The Custom power devices (CPD) have been used in the power system to address these issues and improve power quality. However, optimal placement and sizing of CPD is a challenge itself. In this paper, the optimal location and rating of CPD (STATCOM and APLC) have been determined using the APSO and JAYA optimization techniques, both of these techniques are known for their robustness. The main objective of the paper is to minimize the total harmonic distortion, total CPD size, harmonic transmission line loss, telephone influence factor, and motor load loss. Further, the performances of allocated CPD in controlling the voltage quality and reactive power are evaluated. The performance from the APSO and JAYA algorithm on an IEEE-16 bus and 69 bus distribution system has been compared to each other.

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The Impact of Distributed Energy Storage on Distribution and Transmission Networks’ Power Quality

Cited by 38 publications

References 31 publications

A review on the state of the art of dynamic voltage restorer: topologies, operational modes, compensation methods, and control algorithms

A review on the state of the art of dynamic voltage restorer: topologies, operational modes, compensation methods, and control algorithms

Predictive Maintenance for Distribution System Operators in Increasing Transformers’ Reliability

Optimal placement and sizing of custom power devices using APSO and JAYA optimization in radial distribution network

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