Volume 14, number 1, 2020. Print version and published papers:
PREDICTIVE CAPABILITIES OF A NARX-BASED FORECASTER USED TO PREDICT THE PV PANEL OUTPUT POWER
Copy citation: T. Sebbagh, R. Kelaiaia, A. Metatla and A. Zaatri, Predictive Capabilities of a NARX-Based Forecaster Used to Predict the PV Panel Output Power, Carpathian Journal of Electrical Engineering, vol. 14, no. 1, pp. 7-17, 2020.
Toufik SEBBAGH1, Ridha KELAIAIA1, Abderrezak METATLA1 and Abdelouahab ZAATRI2, 1 LGMM Loratory, University of 20 Août 1955 – Skikda, Algeria, 2 University of Constantine 1 – Constantine, Algeria, t.sebbagh@univ-skikda.dz
Keywords: PV power output, forecasting, NARX, prediction
Abstract: This paper deals with the predictive capabilities of a NARX-based forecaster used to predict the output power converted with a PV panel in isolated conditions. A time-series based NARX model is proposed and the influence of the meteorological data such as irradiance, ambient temperature and wind speed, and the impact of the training algorithm on the performance of the NARX based forecaster model is studied. The results show that for the studied area, the NARX model trained by three meteorological data as inputs, the output power as output using Bayesian Regularization algorithm gives best performance with a mean squared error of 2.10414e-2.
CREATING DCP WORKFLOW FOR DIGITAL CINEMA SYSTEM
Copy citation: A. Samčović, Creating DCP Workflow for Digital Cinema System, Carpathian Journal of Electrical Engineering, vol. 14, no. 1, pp. 18-33, 2020.
Andreja SAMČOVIĆ, University of Belgrade, Faculty of Transport and Traffic Engineering, Belgrade, Serbia, andrej@sf.bg.ac.rs
Keywords: Digital cinema, compression, Digital Cinema Package, Digital Cinema Distribution Master, JPEG 2000
Abstract: This paper describes in detail analysis of Digital Cinema Package (DCP) file format structure, which is today widely used for distribution of digital movies for digital cinema. The whole process from creating source files, following by intermediate steps, to the final form of this format, is presented as well. Security principles are covered by Key Delivery Message (KDM). Some free software for creation DCP are mentioned at the end of this paper.
OPTIMAL CONTROL OF AIR CONDITIONING SYSTEM
Copy citation: A. Rebai, S. Haddad, R. Kelaiaia, Optimal Control of Air Conditioning System, Carpathian Journal of Electrical Engineering, vol. 14, no. 1, pp. 34-41, 2020.
Asma REBAI, Salim HADDAD, Ridha KELAIAIA, LGMM Laboratory, Université 20 Août 1955 – Skikda, Algeria, E-mail:{a.rebai, s.haddad, r.kelaiaia}@univ-skikda.dz
Keywords: Air conditioning, Optimization, Thermal comfort, Optimal control strategy
Abstract: This paper presents an optimal method for control the functioning time of an air conditioning system that allows reducing the electrical consumption by maintaining thermal comforts. In this work, the minimizing of the electrical consumption of a house is adopted as objective function, and thermal comfort is taken as a primary constraint, thus the mathematical model of air conditioning is formulated. Then an optimal control method based on reducing the electrical consumption of a house equipped with air conditioning system by optimizing the operating time of the air conditioner is proposed. Subsequently, the simulation results show a significant reduction of the total consumption at the same time maintaining thermal comfort. The proposed optimal control strategy of air conditioning system is carried out in MATLAB/Simulink with satisfactory results for a house. The rest of the load (washing-machine, refrigerator, freezer, etc.) is assumed as a constant complementary charge. Simulation results show a significant reduction of the electrical consumption.
WAVELET ANALYSIS AND NEURAL NETWORK TECHNIQUE FOR PREDICTING TRANSIENT STABILITY STATUS
Copy citation: E. A. Frimpong, P. Y. Okyere, J. Asumadu, Wavelet Analysis and Neural Network Technique for Predicting Transient Stability Status, Carpathian Journal of Electrical Engineering, vol. 14, no. 1, pp. 42-56, 2020.
Emmanuel Asuming FRIMPONG1, Philip Yaw OKYERE1, Johnson ASUMADU2, 1Kwame Nkrumah University of Science and Technology, Kumasi, Ghana, 2Western Michigan University, Kalamazoo, Michigan, USA, eafrimpong.soe@knust.edu.gh
Keywords: Neural network, Out-of-step, Power system stability, Stability prediction, Transient stability
Abstract: This paper presents a method based on wavelet analysis (WA) and Multilayer perceptron neural network (MLPNN) to predict transient stability status (TSS) after a disturbance. It uses as input data, generator terminal frequency deviations extracted at a rate of thirty-two samples per cycle. Only the first eight frequency deviation samples per machine are needed. The eight samples are sub-divided into two sets, one set consisting of the first four samples and the other set consisting of the last four samples. Each set of samples is decomposed into 2 levels using the Daubechies 8 mother wavelet and the absolute peak value of detail coefficients obtained. The absolute peaks of detail coefficients of the first sample sets of all generators are added and so are the absolute peaks of detail coefficients of the second sample sets. The two summed values are then used as inputs to a trained MLPNN which predicts the TSS. The method was evaluated using dynamic simulations carried out on the New England test system. The method was found to be accurate and can be implemented in real-world systems to provide system operators advance information on system stability, following disturbances, to aid the deployment of needed emergency control measures.
Copy citation: K. Atamnia, A. Lebaroud, M. Makhlouf, Traction Motor Selection Based on ihe Performance Analysis of Pure Electric Vehicle Under Different Driving Scenarios, Carpathian Journal of Electrical Engineering, vol. 14, no. 1, pp. 57-72, 2020.
Khaled ATAMNIA, Abdesselam LEBAROUD, Messaoud MAKHLOUF, National Polytechnic School of Constantine, Algeria (ENPC), Department of Electronics, Electrical engineering and Automatic Control Laboratory of Polytechnic Engineering of Constantine, khaled.atamnia@enp-constantine.dz
Keywords: Electric vehicle, Driving Cycle, PMSM, Induction Motor
Abstract: Selecting the appropriate powertrain components for electric vehicles, in terms of size and efficiency became a challenging task, especially the traction motor that requires special care. Since it is the only source of traction power, its selection may affect the performance of the electric vehicle. Therefore, an analysis of the vehicle performance with various motors types and design is necessary to outline its importance and to verify the impact of its selection on the entire vehicle system. The Permanent Magnet Synchronous Motor (PMSM) and the Induction Motor (IM) were tested during different driving cycles using the ADVISOR tool, designed based on Matlab/Simulink, for rapid analysis of the performance and fuel consumption of conventional hybrid and electric vehicles. The 2WD GM EV1 model from General Motors Company has been selected to investigate the electric vehicle performance during different driving scenarios, such as dealing with high aggressive acceleration, or several stops and start situations.
Copy citation: I. Smical, M. Orfanova, The WEEE Management and its Influence on Environment and Human Health. Case Study: Maramureș County, Romania, Carpathian Journal of Electrical Engineering, vol. 14, no. 1, pp. 73-85, 2020.
Irina SMICAL1, Mariia ORFANOVA2, 1 North University Centre of Baia Mare, Technical University of Cluj-Napoca, Engineering of Mineral Resources, Materials and Environment Department, 62A Victor Babes str., 430083, Baia Mare, Romania, 2 Ivano-Frankivsk National Technical University of Oil and Gas, Institute of Tourism and Geoscience, Ecology Department, Ivano-Frankivsk, Ukraine, irina.smical@cunbm.utcluj.ro
Keywords: WEEE, hazardous substances, waste management, contaminants
Abstract: This paper addresses a number of issues regarding the management of waste electrical and electronic equipment (WEEE) and its influence on environmental and human health factors. The study was conducted for Maramures County to highlight the WEEE management and its threats to the environment and human health. Worldwide research results show that improper WEEE treatment and recycling is a factor of environmental pollution and the generation of various diseases, especially where rudimentary techniques are used and there is no means of protecting workers. By dismantling mechanical and pyrometallurgical processing of WEEE components result in a series of contaminants that can pollute the soil, surface water, groundwater, the atmosphere and finally can cause a lot of human diseases. Following the investigations, it is found that the management of WEEE in Maramureș County poses a low risk of contamination given the fact that in this county only WEEE collection is made not also their treatment or recycling. Moreover, all collection activities of WEEE are made safe and are authorized by the environmental protection point of view.
USING MATLAB-SIMULINK AS TOOL FOR STUDYING INDUCTION MOTOR
Copy citation: O. Chiver, P. Libotean, A. Neamt, L. Neamt and M. Horgos, Using Matlab-Simulink as Tool for Studying Induction Motor, Carpathian Journal of Electrical Engineering, vol. 14, no. 1, pp. 86-95, 2020.
Olivian CHIVER1, Paul LIBOTEAN1, Alina NEAMT2, Liviu NEAMT1 and Mircea HORGOS1,1 Technical University of Cluj-Napoca, Faculty of Engineering, Romania, 2 “Anghel Saligny” Technical College Baia Mare, Romania, olivian. chiver@cunbm.utcluj.ro
Keywords: Matlab-Simulink, tool, induction motor, tests
Abstract: The needed models and procedures for simulating induction motor tests are presented in the paper. The induction motor model is one from Simulink library and students can use it in simulation. Measured quantities and necessary relations for parameter determination are shown. In addition to laboratory tests, an attempt is made to find a solution for operation at low load, so that the efficiency is maintained as high as possible. The main purpose is to show students the possibilities of using Simulink in the study of the induction motor and through similarity to the study of any electrical equipment or systems.
THE MANAGEMENT OF A HYBRID RENEWABLE ENERGY PRODUCTION SYSTEM
Copy citation: R. Joian, C. Lung, M. Horgos, The Management of a Hybrid Renewable Energy Production System, Carpathian Journal of Electrical Engineering, vol. 14, no. 1, pp. 96-104, 2020.
Radu JOIAN, Claudiu LUNG, Mircea HORGOȘ, Electric, Electronic and Computer Engineering Department, Technical University of Cluj-Napoca, North University Center Baia Mare, Romania, yo5pcw@yahoo.com
Keywords: Energy management, Homer software, hybrid system
Abstract: The paper focuses on the use of the Homer software on an autonomous hybrid system. The dedicated Homer software is intended for the energy management analysis of renewable electricity sources. The program simulates the operation of the systems, performing calculations on energy variations for each of the 8760 hours (specific to one year).
A SURVEY ABOUT POWER CONSUMPTION FOR ARDUINO
Copy citation: S. Sabou, A Survey about Power Consumption for Arduino, Carpathian Journal of Electrical Engineering, vol. 14, no. 1, pp. 105-109, 2020.
Sebastian SABOU, Electric, Electronic and Computer Engineering Department, Technical University of Cluj-Napoca, Romania, sebastian.sabou@cunbm.utcluj.ro
Keywords: Survey, power, Arduino, low-power
Abstract: The choice of a hardware platform for the implementation of a project is very important also from the perspective of the electricity consumption that it implies. For example, systems that will operate on the basis of energy stored in batteries, or those powered by renewable sources, whose availability is difficult to predict and also monitoring and control systems that are located in hard to reach areas or that are rarely physically checked require increased attention in the selection of the platform to be used. This study aims to provide a comparison, in terms of energy consumption, of the most used Arduino systems, as well as some possible solutions to further reduce their consumption.