scholarly journals Experimental Determination of Parameters of Nonlinear Electrical Load

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7762
Author(s):  
Aleksandr Skamyin ◽  
Yaroslav Shklyarskiy ◽  
Vasiliy Dobush ◽  
Iuliia Dobush

The paper deals with issues of modeling nonlinear electrical loads of various types, such an uncontrolled rectifier, thyristor rectifier, thyristor power regulator and mixed equivalent nonlinear load. For these load types, existing analytical expressions were identified to determine the magnitudes of harmonic currents, and waveforms of currents were obtained during measurements in laboratory conditions with variable parameters of the grid impedance and load. The obtained results were compared, and it was found that the error in determining the magnitudes of harmonic currents can reach 60% for an individual load and 54% for an equivalent load. A more accurate method for determining the parameters of nonlinear electrical load is also proposed, which is based on the application of shunt harmonic filters. In laboratory conditions, it was found that when using the developed method, the error did not exceed 10% for an individual load and 14% for an equivalent load.

2021 ◽  
Vol 13 (15) ◽  
pp. 8580
Author(s):  
Luigi Rubino ◽  
Guido Rubino ◽  
Paolo Conti

In modern aircraft, energy supply management has become a critical matter, since many aboard electrical loads have to be supplied, especially those related to flight safety. However, at the same time, the size and weight of electrical generators must be limited because of their on-board installation. In this paper, the Mixed Integrated Linear Programming (MILP) methodology has been used to formulate the Supervisor definition of the direct current (DC) microgrid (MG) on-board system with an extension for the programmable loads. Due to the problem of dimension increase, two methods have been presented and tested to perform optimal energy management (EM) aboard an aircraft: the Branch and Bound (B&B) and the Linear Regression Approximation (LRA). Finally, numerical simulations and results have been provided to validate the proposed optimization methodologies, according to the dimensions and the complexity of the problem.


Author(s):  
Mikhail A. Sherkunkov ◽  
Stepan G. Tiguntsev

This article explores the method of joint suppression of harmonic currents, balancing currents and partial compensation of the reactive power of a non-linear asymmetric load connected in a triangle using a device installed on the low voltage side of a power transformer


2006 ◽  
Vol 22 (04) ◽  
pp. 212-218
Author(s):  
Michael C. Robinson ◽  
Sara E. Wallace ◽  
David C. Woodward ◽  
Gene Engstrom

Sizing power transformers in US Navy ships is an issue that surfaced in the design of a new amphibious assault ship. Previous methods averaged the power output from generators over each transformer and calculated load based on a demand factor curve. This technique is not accurate enough in the contract design stages or for zonal architectures since it artificially averages the electrical loads. The proposed methodology uses a systems engineering approach, applying a probabilistic (Monte Carlo) analysis of the electrical loads at each transformer, based on the electrical load analysis (ELA). This methodology will allow the designer to incorporate risk mitigation into a radial or zonal electrical system design to verify adequacy and reduce cost through probability-based transformer sizing.


2010 ◽  
Vol 163-167 ◽  
pp. 1343-1348
Author(s):  
Rong Yao ◽  
Heng Hong Liang ◽  
Ping Hua Zhu

The internal-force distributing of the slab computed according to the existing design methods is different from that of the bidirectional slab supported on beam. The mechanical characteristic of the slab on unbonded prestressing tendons concentrated arranged along the columns is analyzed. The results show that the hidden beams of prestressing tendons couldn’t replace the role of the actual beam. Therefore, the prestressing tendons layout in the beam-less slab should not be disposed according to the internal stress distribution of the two-way slab supported on actual beams. Based on the FEM, a accurate method for calculating the amount of two-way prestressing tendons is put forward according to the bearing counterforce that existe in beam-supported two-way slab. The linear of the prestressing tendons is deduced and reasonable value of the equivalent load of prestressed tendons is suggested.


2017 ◽  
Vol 171 (4) ◽  
pp. 29-32
Author(s):  
Łukasz GRABOWSKI ◽  
Mirosław WENDEKER ◽  
Grzegorz BARAŃSKI ◽  
Mariusz DUK

This paper discusses the methodologies to investigate the efficiency of on-board electricity generation in the city bus. The research object, i.e. the Mercedes Conecto was tested under steady conditions. A chassis dynamometer, i.e. the MAHA LPS 3000 LKW provided the same conditions during the entire research. The paper presents the samples of the measurements performed at a single operating point of a given crankshaft speed and torque. This operating point was specified in line with the guidelines for the WHSC test. In our study, an electrical load was changed with an extra receiver, or a light bulb, at a fixed amount of fuel. The electrical loads were 0.4 kW, 1.6 kW and 2.8 kW. The research results enabled us to specify the amount of fuel to generate 1 kWh of electrical energy.


2019 ◽  
Vol 124 ◽  
pp. 05026 ◽  
Author(s):  
D.I. Nabiullin ◽  
R.N. Balobanov

Prediction of the electrical load schedule of an electrical system is an important aspect for determining electrical loads, which ensures the correct selection and cost-effective operation of reactive power compensation devices and voltage control devices, as well as relay protection and automation. This article discusses methods for predicting electrical load using an artificial neural network. The problems of choosing the optimal architecture and algorithm of neural network training are considered. The methods of the best forecast accuracy are determined. A genetic algorithm based on the group method of data handling was chosen as the main calculation.


2020 ◽  
Vol 182 ◽  
pp. 01004
Author(s):  
Lei Zhang ◽  
Linghui Yang ◽  
Chengyu Gu ◽  
Da Li

The Emergence of the Ubiquitous Power Internet of Things(UPIoT) facilitates data sharing and service expansion for the power system. Based on the architecture of the UPIoT and combined with deep learning technology, short-term electrical load forecasting and anomaly correction could be used to improve the overall performance. Since short-term electrical loads are non-linear and non-stationary [1] and could be easily affected by external interference, traditional load forecasting algorithms cannot recognize the correlation between the time sequence thus rendering low prediction accuracy. In this article, a Long Short-Term Memory (LSTM) based algorithm is proposed to improve the prediction accuracy by utilizing the correlation between the hourly load sequence. Then, the real-time forecasting outputs are compared to the raw data in order to detect and dynamically repair the anomaly so as to further improve the performance. Experiment results show that the proposed approach outputs low Mean Square Error (MSE) of around 0.2 and could still hold it at around 0.3 with corrected data when the anomaly is detected, which proves the accuracy and robustness of the algorithm.


Author(s):  
Yu. I. Soluyanov ◽  
A. R. Akhmetshin ◽  
V. I. Soluyanov

THE PURPOSE. To determine the composition of electricity consumers in apartment buildings. To analyze the power consumption of organizations located on the first two floors of apartment buildings. To justify the need to update the standards for electrical loads for public premises built into residential buildings. METHODS. Information on electricity consumption was received by automated electricity metering system from smart meters installed directly at consumers. To achieve this goal, statistical methods for analyzing energy consumption were used. RESULTS. The article describes the relevance of the topic, provides a rationale for adjusting the normative values of specific electrical loads for public premises built into residential buildings. The percentage of consumer groups is shown on the example of several apartment buildings. The annual specific average monthly graphs of electricity consumption are presented: shops, offices, pharmacies, restaurants. CONCLUSION. In an effort to increase the level of comfort, developers are interested in developing the infrastructure of the facilities, mainly for this, they use ground and first floors, in which retail and office areas are most often located. Research by the Roselectromontazh Association has shown that to determine the electrical load of non-residential commercial premises, one has to use one averaged value due to the constant change in the purpose of premises and the complexity of determining the occupied area.


2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Feby Ardianto ◽  
Eliza Eliza ◽  
Riki Saputra

Dunia teknologi berkembang dengan pesat disegala bidang. Kemajuan teknologi dan ilmu pengetahuan menimbulkan banyaknya peralatan yang dikontrol menggunakan system control digital. Tenaga manusia telah digantikan dengan mesin-mesin yang berkerja otomatis dalam memproses. Penelitian ini bertujuan merancang dan menghasilkan alat untuk pengukuran pemakaian beban listrik rumah tangga pada setiap pemakaian beban menggunakan arduino. Desain pendeteksi pemakaian beban listrik menggunakan sensor arus ACS712, melalui  mikrokontroler ATmega 328P sebagai pemosesan arus yang masuk. Metode yang digunakan 4 tahapan yaitu : 1). Pemilihan peralatan software dan hardware, 2). Perancangan Sistem, 3). Programan, 4). Pengujian alat  dan menghasilakn pendeteksi beban listrik dengan mengukuran tegangan dan arus yang masuk kedalam sensor arus dan tegangan  yang di tampilkan hasilnya pada layar LCD (keypad shield), pengujian mengunakan tiga buah lampu sebagai beban, lampu 15 W, 25 W, dan 45 W dengan  hasil sebesar  16,2 W , 23,0 W dan 46,2 W.Kata Kunci : Arduino, LCD, Sensor Arus, Sensor TeganganABSTRACTThe world of technology is developing rapidly in all fields. Advances in technology and science have resulted in a large number of equipment being controlled using a digital control system. Human labor has been replaced by machines that work automatically in processing. This study aims to design and produce tools for measuring the use of household electrical loads on each use of load using Arduino. The design of the detection of the use of electrical loads using the ACS712 current sensor, through the ATmega 328P microcontroller as processing incoming current. The method used is 4 stages, namely: 1). Choosing software and hardware equipment, 2). System Design, 3). Programming, 4). Test the tool and produce an electrical load detector by measuring the voltage and current that enters the current and voltage sensor which is displayed on the LCD screen (keypad shield), testing using three lamps as a load, 15 W, 25 W, and 45 W lamps with results of 16.2 W, 23.0 W and 46.2 W.


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