scholarly journals The Application of Hierarchical Clustering to Power Quality Measurements in an Electrical Power Network with Distributed Generation

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2407 ◽  
Author(s):  
Michał Jasiński ◽  
Tomasz Sikorski ◽  
Zbigniew Leonowicz ◽  
Klaudiusz Borkowski ◽  
Elżbieta Jasińska
Keyword(s):  
Power Quality ◽  
Distributed Generation ◽  
Electrical Power ◽  
High Harmonic ◽  
Measurement Data ◽  
Mining Industry ◽  
Power Network ◽  
Initial Stage ◽  
Related Approach ◽  
Point Data

This article presents the application of data mining (DM) to long-term power quality (PQ) measurements. The Ward algorithm was selected as the cluster analysis (CA) technique to achieve an automatic division of the PQ measurement data. The measurements were conducted in an electrical power network (EPN) of the mining industry with distributed generation (DG). The obtained results indicate that the application of the Ward algorithm to PQ data assures the division with regards to the work of the distributed generation, and also to other important working conditions (e.g., reconfiguration or high harmonic pollution). The presented analysis is conducted for the area-related approach—all measurement point data are connected at an initial stage. The importance rate was proposed in order to indicate the parameters that have a high impact on the classification of the data. Another element of the article was the reduction of the size of the input database. The reduction of input data by 57% assured the classification with a 95% agreement when compared to the complete database classification.

scholarly journals Combined Cluster Analysis and Global Power Quality Indices for the Qualitative Assessment of the Time-Varying Condition of Power Quality in an Electrical Power Network with Distributed Generation

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 2050 ◽  
Author(s):  
Michał Jasiński ◽  
Tomasz Sikorski ◽  
Paweł Kostyła ◽  
Zbigniew Leonowicz ◽  
Klaudiusz Borkowski
Keyword(s):  
Cluster Analysis ◽  
Power Quality ◽  
Distributed Generation ◽  
Working Conditions ◽  
Electrical Power ◽  
Quality Data ◽  
Power Network ◽  
Quality Indices ◽  
Aggregated Data ◽  
Global Power

This paper presents the idea of a combined analysis of long-term power quality data using cluster analysis (CA) and global power quality indices (GPQIs). The aim of the proposed method is to obtain a solution for the automatic identification and assessment of different power quality condition levels that may be caused by different working conditions of an observed electrical power network (EPN). CA is used for identifying the period when the power quality data represents a different level. GPQIs are proposed to calculate a simplified assessment of the power quality condition of the data collected using CA. Two proposed global power quality indices have been introduced for this purpose, one for 10-min aggregated data and the other for events—the aggregated data index (ADI) and the flagged data index (FDI), respectively. In order to investigate the advantages and disadvantages of the proposed method, several investigations were performed, using real measurements in an electrical power network with distributed generation (DG) supplying the copper mining industry. The investigations assessed the proposed method, examining whether it could identify the impact of DG and other network working conditions on power quality level conditions. The obtained results indicate that the proposed method is a suitable tool for quick comparison between data collected in the identified clusters. Additionally, the proposed method is implemented for the data collected from many measurement points belonging to the observed area of an EPN in a simultaneous and synchronous way. Thus, the proposed method can also be considered for power quality assessment and is an alternative approach to the classic multiparameter analysis of power quality data addressed to particular measurement points.

scholarly journals Prospective Smart Distribution Substation in Bangladesh: Modeling and Analysis

2021 ◽  
Vol 13 (19) ◽  
pp. 10904
Author(s):  
Abdul Hasib Siddique ◽  
Mehedi Hasan ◽  
Sharnali Islam ◽  
Khalid Rashid
Keyword(s):  
Distributed Generation ◽  
Fossil Fuel ◽  
New Technology ◽  
Electrical Power ◽  
Electrical Network ◽  
Power Network ◽  
Major Focus ◽  
Modeling And Analysis ◽  
Generation Structure ◽  
Smart Substation

Being one of the fastest-growing economies in the world, Bangladesh needs to upgrade its electrical network and aim to reduce dependency on fossil fuel-based energy. For the aging and ever-expanding power network, it is necessary to have a smart substation in order to provide reliable, affordable, and sustainable electrical power. As Bangladesh is looking to integrate Distributed Generation (DG) in the power system, it is high time to think about integrating a smart distribution substation into its power network. In this paper, an investigation of the current power generation structure of Bangladesh was conducted and is described. The major focus was given to the upgradation of the existing substation and distribution setup of Bangladesh by providing suitable architectures, technologies, and communication protocols. Detailed studies of Bangladesh’s prospects to incorporate the new technology and renewable energy into its power network are discussed. ETAP was used to simulate the prospective system to show the feasibility of the prospective smart distribution substation in Bangladesh’s power network.

scholarly journals Analysed power quality of electrical system ahts vessel

2020 ◽  
Vol 9 (8) ◽  
pp. e836986151
Author(s):  
Agus Dwi Santoso ◽  
Ferry Budi Cahyono ◽  
Widyo Tri Laksana ◽  
Yosi Nurfalah
Keyword(s):  
Power Quality ◽  
Electrochemical Impedance ◽  
Electrical Power ◽  
High Harmonic ◽  
Harmonic Distortion ◽  
Electrical Equipment ◽  
Computational Techniques ◽  
Electrical System ◽  
Utility Systems

A number of power quality issues including electrical harmonics, poor power factor, and voltage instability and imbalance impact on the efficiency of electrical equipment. To support that equipment operates optimally, electrical power is generated must be have good quality. This study has a purpose to examine the power quality of electrical system AHTS (Anchor Handling Tug Supply) vessel. This research was done by quantitative method. Computational techniques used by the software of Total Harmonic Distortion (THD), which shares characteristics and Electrochemical Impedance Spectroscopy (EIS). The result of this analysis indicated that Electrical system in VM INPOSH REGENT have quality power very good of utility systems during full way condition, however during maneuver, there was a particularly high harmonic from non-linier devices used as motor control, which functional a role propulsion. Based on the result above, it can be concluded that after filtering so that harmonic can correct until perimeter secure ABS standard, system is very good during maneuver long site and maneuver on DP system.

scholarly journals Error Optimization in Electrical Power Quality Monitoring Data

2019 ◽  
Vol 19 (1) ◽  
pp. 1
Author(s):  
Isdawimah Isdawimah
Keyword(s):  
Electric Power ◽  
Power Quality ◽  
Electrical Power ◽  
Measurement Data ◽  
Good Time ◽  
Power Quality Monitoring ◽  
Quality Of Electric Power ◽  
Error Optimization ◽  
Good Time Resolution

In the application of electrical power quality control, the necessity for data processing becomes very important. The measurement data obtained is the latest data and measured in real time with good time resolution and with low error. The object of research is the quality of electric power, the research is about ways of measuring quality of electrical power to obtain accurate data in accordance with actual conditions. This method is capable of measuring data of electrical power quality that changes very quickly with a low error. This data is used as a basis for improving the quality of electric power accurately and accurately.

scholarly journals Artificial Neural Network Active Power Filter with Immunity in Distributed Generation

2020 ◽  
Vol 64 (2) ◽  
pp. 109-119
Author(s):  
Mohamed Kadem ◽  
Abdelhafid Semmah ◽  
Patrice Wira ◽  
Abdelkader Slimane
Keyword(s):  
Neural Network ◽  
Power Quality ◽  
Distributed Generation ◽  
Electrical Power ◽  
Active Power Filter ◽  
Active Power ◽  
Least Square ◽  
Frequency Variation ◽  
Renewable Energy Resources ◽  
Power Filter

With an electrical grid shifting toward Distributed Generation (DG), the emerging use of renewable energy resources is continuously creating challenges to maintain an acceptable electrical power quality thought-out the grid; Therefore, in an energy market where loads are becoming more and more sensitive in a distributed generation filled with polluting nonlinear loads, power quality improvement devices such Active Power Filters (APFs) have to evolve to meet the new standards, since theirs conventional control strategies can't properly operate when multiple power quality problems happens at once, even the one using AI based control as it will be proven in this paper. In this paper a neural network based Active Power Filter will be tested in a DG environment where both current and voltage harmonics, along with fast frequency variation occurs, we will see how the PLL can downgrade its performances enormously under such hostile conditions, We propose to solve this problem by replacing the conventional PLL with a nonlinear least square (NLS) frequency estimator, this novel NLS-ADALINE SAPF is immune in high DG penetration environment, as it will be tested and validated experimentally on an Opal-RT OP5600 FPGA based real-time simulator.

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