The Influence of Power Quality Indices on Active Power Losses in a Local Distribution Grid

Otcenasova, Alena; Bolf, Andrej; Altus, Juraj; Regula, Michal

doi:10.3390/en12071389

Cited by 24 publications

(19 citation statements)

References 28 publications

(25 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Besides, with the growing interest in distributed generation (DG) and smart grids, their influence on the PQ field is currently under investigation [30][31][32]. It is also important to underline the importance of the PQ reliability indicators; for example, see the evaluations carried out in Reference [33][34][35][36][37][38].…”

Section: Of 21mentioning

confidence: 99%

Power Quality Disturbances Assessment during Unintentional Islanding Scenarios. A Contribution to Voltage Sag Studies

2019

View full text Add to dashboard Cite

This paper presents a novel voltage sag topology that occurs during an unintentional islanding operation (IO) within a distribution network (DN) due to large induction motors (IMs). When a fault occurs, following the circuit breaker (CB) fault clearing, transiently, the IMs act as generators due to their remanent kinetic energy until the CB reclosing takes place. This paper primarily contributes to voltage sag characterization. Therefore, this novel topology is presented, analytically modelled and further validated. It is worth mentioning that this voltage sag has been identified in a real DN in which events have been recorded for two years. The model validation of the proposed voltage sag is done via digital simulations with a model of the real DN implemented in Matlab considering a wide range of scenarios. Both simulations and field measurements confirm the voltage sag analytical expression presented in this paper as well as exhibiting the high accuracy achieved in the three-phase model adopted.

show abstract

Section: Of 21mentioning

confidence: 99%

Power Quality Disturbances Assessment during Unintentional Islanding Scenarios. A Contribution to Voltage Sag Studies

2019

View full text Add to dashboard Cite

show abstract

“…Therefore primary feeders often have unbalanced systems wherein the greater the system imbalance, the poorer the power quality produced. For example, the voltage unbalance leads to zero-and negative-phase sequence voltages which, in turn, can reduce the torque output of three-phase induction motors and increase extra power loss [1][2][3]. The zero-sequence Figure 1 shows the systematical procedure of the proposed approach for reducing the neutral current by optimal rephasing in order to improve the current inefficient phase adjustment manual via report review from a record log of the DDCC.…”

Section: Introductionmentioning

confidence: 99%

Neutral Current Reduction in Three-Phase Four-Wire Distribution Feeders by Optimal Phase Arrangement Based on a Full-Scale Net Load Model Derived from the FTU Data

Lee

Jiang

et al. 2020

Energies

View full text Add to dashboard Cite

An increase in the neutral current results in a malfunction of the low energy over current (LCO) protective relay and raises the neutral-to-ground voltage in three-phase, four-wire radial distribution feeders. Thus, the key point for mitigating its effect is to keep the current under a specific level. The most common approach for reducing the neutral current caused by the inherent imbalance of distribution feeders is to rearrange the phase connection between the distribution transformers and the load tapped-off points by using the metaheuristics algorithms. However, the primary task is to obtain the effective load data for phase rearrangement; otherwise, the outcomes would not be worthy of practical application. In this paper, the effective load data can be received from the feeder terminal unit (FTU) installed along the feeder of Taipower. The net load data consisting of customers’ power consumption and the power generation of distributed energy resources (DERs) were measured and transmitted to the feeder dispatch control center (FDCC). This paper proposes a method of establishing the equivalent full-scale net load model based on FTU data format, and the long short-term memory (LSTM) was adopted for monthly load forecasting. Furthermore, the full-scale net load model was built by the monthly per hour load data. Next, the particle swarm optimization (PSO) algorithm was applied to rearrange the phase connection of the distribution transformers with the aim of minimizing the neutral current. The outcomes of this paper are helpful for the optimal setting of the limit current of the LCO relay and to avoid its malfunction. Furthermore, the proposed method can also improve the three-phase imbalance of distribution feeders, thus reducing extra power loss and increasing the operating efficiency of three-phase induction motors.

show abstract

“…This analysis is focused on reducing the consumption of electric energy through the path of improving the quality of electric power on the distribution lines in the buildings. Several events in the power system are often associated with low power quality level, including flicker, voltage sag, unbalance loads, harmonic distortion, and lower power factor [5][6][7][8]. Among them were very influential on increasing power losses are lower power factor, unbalanced loads, and harmonic distortion [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Analysis of energy losses reduction potential on the distribution line of campus building through electric power quality improvement

Pawawoi

Zuheldi²,

Akbar

et al. 2020

IJEECS

View full text Add to dashboard Cite

In public and commercial buildings, the reduction of electricity consumption activities can be conducted through 3 paths, including improving the quality level of electric power, increasing the efficiency of electrical equipment, and reducing the waste of electric energy use. In this paper, the energy losses reduction potential on the distribution line of Engineering Faculty, Andalas University buildings through electric power quality improvement are analyzed. Power Quality (PQ) variables that considered in this analysis include power factor, unbalance current load and harmonics distortion. Analysis of correlation between PQ variables is required to determine the power loss on the distribution line of buildings. Using data of PQ variables recorded by Fluke Power Analyzer 435 series II, the energy losses of the distribution line without/with PQ improvement for each building is calculated. Analysis results have shown that the reduction potential is proportional to the value of PQ variables. Administrative faculty building with poor power quality has the potential to reduce its energy losses on the distribution line by 52.62% through power quality improvement. Civil engineering building group with quite good power quality only has the potential to reduce energy losses by 32.81%. Overall, the buildings in this faculty have the potential to reduce energy losses on distribution lines by 34.42% through its power quality improvement.

show abstract

The Influence of Power Quality Indices on Active Power Losses in a Local Distribution Grid

Cited by 24 publications

References 28 publications

Power Quality Disturbances Assessment during Unintentional Islanding Scenarios. A Contribution to Voltage Sag Studies

Power Quality Disturbances Assessment during Unintentional Islanding Scenarios. A Contribution to Voltage Sag Studies

Neutral Current Reduction in Three-Phase Four-Wire Distribution Feeders by Optimal Phase Arrangement Based on a Full-Scale Net Load Model Derived from the FTU Data

Analysis of energy losses reduction potential on the distribution line of campus building through electric power quality improvement

Contact Info

Product

Resources

About