Assessment and mitigation of power quality problems for PUSPATI TRIGA Reactor (RTP)

Zakaria, Mohd Fazli; Ramachandaramurthy, Vigna K.

doi:10.1063/1.4972909

Cited by 4 publications

(3 citation statements)

References 2 publications

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“…This refers to the system's ability to maintain steady voltages following large disturbances such as system faults, loss of generation, or circuit contingencies. The time frame of interest for voltage stability problems can stretch from 1 minute to several minutes [27]. Long duration variations sources include [28,29]:…”

Section: Long-duration Voltage Variationsmentioning

confidence: 99%

Analysis of Power Quality Problems on Nigerian 330 kV Power System Using Statcom with Voltage Sensitivity Index

2022

ISDE

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Transmission system is the transportation of electrical energy from generating stations to load centers. However, increase usage of non-linear loads from the consumers has led to electrical Power Quality (PQ) problems which have negative impacts on the operation of the power system especially Nigerian power system. This research analyzed the PQ problem on Nigerian 330 kV power system. Newton-Raphson (NR) iterative method was used to performed load flow analysis on Nigerian 28-bus transmission systems. Then power injection model of the Static Synchronous Compensator (STATCOM) was incorporated to modify the NR mathematical model. The suitable placement for the STATCOM in the system was determined using Voltage Sensitivity Index (VSI) and simulation was done in MATLAB/SIMULINK. The results showed that, the suitable placements of STATCOM controller in the power system were buses 5, 8, 12 and 16. The corresponding STATCOM reactive power, sag voltage and sag duration for buses 5, 8, 12 and 16 were 72.

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Section: Long-duration Voltage Variationsmentioning

confidence: 99%

Analysis of Power Quality Problems on Nigerian 330 kV Power System Using Statcom with Voltage Sensitivity Index

2022

ISDE

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“…Power quality assessment has become a critical issue since the increase in sensitive electronic equipment in industrial and household applications [14,15]. The original lack of standardization of the measurement method has led to significant differences in each of the main parameters calculated by different devices.…”

Section: Introductionmentioning

confidence: 99%

Clustering Methods for Power Quality Measurements in Virtual Power Plant

et al. 2021

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In this article, a case study is presented on applying cluster analysis techniques to evaluate the level of power quality (PQ) parameters of a virtual power plant. The conducted research concerns the application of the K-means algorithm in comparison with the agglomerative algorithm for PQ data, which have different sizes of features. The object of the study deals with the standardized datasets containing classical PQ parameters from two sub-studies. Moreover, the optimal number of clusters for both algorithms is discussed using the elbow method and a dendrogram. The experimental results show that the dendrogram method requires a long processing time but gives a consistent result of the optimal number of clusters when there are additional parameters. In comparison, the elbow method is easy to compute but gives inconsistent results. According to the Calinski–Harabasz index and silhouette coefficient, the K-means algorithm performs better than the agglomerative algorithm in clustering the data points when there are no additional features of PQ data. Finally, based on the standard EN 50160, the result of the cluster analysis from both algorithms shows that all PQ parameters for each cluster in the two study objects are still below the limit level and work under normal operating conditions.

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“…The equally important topic in RTP is the power generation. At the present time, there are few papers associated to this topic where the authors had been use mitigation technique to investigate the quality issue [21] and Particle Swarm Optimization to improved response signal [22]. Meanwhile Model Reference Adaptive Control and Self Tuning Control had been used in controller part to improve the power tracking and to regulate reactor power [23,24].…”

Section: Introductionmentioning

confidence: 99%

TRIGA PUSPATI reactor: model analysis and accuracy

Abdullah

Soh

Noor

et al. 2020

IJEECS

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<p>There are many challenging issues with research reactor, such as time variation and uncertainty. Since its first criticality in 1982, the biggest changes in TRIGA PUSPATI Reactor system is the replacement of instrumentation and control console system from analogue to digital in 2013. Apart from providing methods of controlling the power reactor via the control rod movement, the Instrumentation and Control Console System also provides monitoring and display for all reactor parameters to protect the reactor from undue influences or abnormal circumstances. Meanwhile, the simulation model of the TRIGA PUSPATI Reactor system has been developed in the Simulink-MATLAB. The simulation model development is based on the research reactor mathematical representatives and the real plant parameters of TRIGA PUSPATI Reactor. However, the performance of this simulation model needs to be evaluated. Since there is no report or paper work found on the performance of the simulation model to represent the real system of RTP, the present study aims to carry out an analysis for more rigorous understanding of the TRIGA PUSPATI Reactor model simulation through validation and verification methods. After analysing the result, it was found that the simulation model has a good representation of a real plant.</p>

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Assessment and mitigation of power quality problems for PUSPATI TRIGA Reactor (RTP)

Cited by 4 publications

References 2 publications

Analysis of Power Quality Problems on Nigerian 330 kV Power System Using Statcom with Voltage Sensitivity Index

Analysis of Power Quality Problems on Nigerian 330 kV Power System Using Statcom with Voltage Sensitivity Index

Clustering Methods for Power Quality Measurements in Virtual Power Plant

TRIGA PUSPATI reactor: model analysis and accuracy

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