Volume 17, number 1, 2023. Published papers:
Regular papers:
Copy citation: A. E. Okolo, E. Twumasi, E. A. Frimpong, Optimal PID Controller Based on an Improved Sparrow Search Algorithm for Multi-Area Frequency Control, Carpathian Journal of Electrical Engineering, vol. 17, no. 1, pp. 7-20, 2023.
Amobi Edward OKOLO, Elvis TWUMASI, Emmanuel Asuming FRIMPONG, Department of Electrical and Electronic Engineering, Kwame Nkrumah University of Science and Technology Kumasi, Ghana, Okoloedward19@gmail.com, etwumasi.coe@knust.edu.gh, eafrimpong.soe@knust.edu.gh
Keywords: Area control error, automatic generation control, load frequency control, sparrow search algorithm, PID controller
Abstract: To boost power system reliability there must be a good scheme for the automatic generation control to maintain the generation-load balance. The development of this scheme started with the enhancement of the sparrow search algorithm, where the initial population and producer selection was targeted to improve the search quality. The enhancement made was used to optimize the gain parameters of the PID controller increasing the overall system performance. The proposed scheme was tested on the two-area power system in the MATLAB/Simulink environment and comparisons were made with recent publications. Integral time absolute error (ITAE) was used as the performance index. The proposed method shows improved performance with minimum settling time. This work presents the enhancement of the sparrow search algorithm for the automatic generation control of a two-area non-reheat thermal power system.
EXTENDED APPLIED DATA CLEANING METHODS IN OUTLIER DETECTION FOR RESIDENTIAL CONSUMER
Copy citation: D. I. Jurj, D. D. Micu, A. G. Berciu, M. Lancrajan, L. Czumbil, A. Bende, B. A. Mitrache, A. Mureșan, Extended Applied Data Cleaning Methods in Outlier Detection for Residential Consumer, Carpathian Journal of Electrical Engineering, vol. 17, no. 1, pp. 21-31, 2023.
Dacian I. JURJ, Dan D. MICU, Alexandru G. BERCIU, Mircea LANCRAJAN, Levente CZUMBIL, Andrei BENDE, Bogdan A. MITRACHE, Alexandru MUREȘAN, Technical University of Cluj-Napoca, dacian.jurj@ethm.utcluj.ro, Dan.Micu@ethm.utcluj.ro, Alexandru.Berciu@campus.utcluj.ro, lancranjanmircea98@gmail.com, Levente.CZUMBIL@ethm.utcluj.ro, andrei.bende28@gmail.com, bogdan.mitrache99@gmail.com, Alexandru.Muresan@ethm.utcluj.ro
Keywords: Energy measurement, Artificial intelligence, Statistics, Probabilistic computing, Data science, Data aggregation, Algorithms, Energy efficiency
Abstract: This paper delves into the subject of outlier detection techniques tailored for unique datasets related to residential energy consumption. Building upon the current state of research we introduce the Grubbs and Z-score methods and investigate a range of outlier detection strategies encompassing statistical, probabilistic, and machine learning algorithms. The findings underscore the importance of outlier detection in the Romanian residential energy sector.
Copy citation: A. Ramakić, Z. Bundalo, D. Bundalo, Analysis of Different Deep Learning Approaches Based on Deep Neural Networks for Person Re-Identification, Carpathian Journal of Electrical Engineering, vol. 17, no. 1, pp. 32-41, 2023.
Adnan Ramakić1, Zlatko BUNDALO2, Dušanka BUNDALO3, 1Technical Faculty, University of Bihać, Bihać, Bosnia and Herzegovina, 2Faculty of Electrical Engineering, University of Banja Luka, Banja Luka, Bosnia and Herzegovina, 3Faculty of Philosophy, University of Banja Luka, Banja Luka, Bosnia and Herzegovina, adnan.ramakic@unbi.ba, zlatbun2007@gmail.com, dusbun@gmail.com
Keywords: Deep Neural Network (DNN), Person Identification, Person Re-Identification, Convolutional Neural Network (CNN)
Abstract: In this work, different deep learning approaches based on deep neural networks for person re-identification were analyzed. Both identification and re-identification of people are frequently required in various fields of human life. Some of the most common applications are in various security systems where it is necessary to identify and track a particular person. In the case of person identification, the identity of a particular person needs to be established. In the case of re-identification, the main task is to match the identity of a particular person across different, non-overlapping cameras or even with the same camera at different times. In this work, three different deep neural networks were used for the purpose of person re-identification. Two of them were user-defined, while one of them is a pre-trained neural network adapted to work with a specific dataset. Two neural networks used were Convolutional Neural Networks (CNN). For the defined experiment, it was used own dataset with 13 subjects in gait.
THE ELECTRICAL RESISTANCE OF THE LUBRICANT FILM IN THE CASE OF THE HYDRODYNAMIC SLIDING BEARING SUBJECTED TO SHOCKS
Copy citation: I. M. Alexandrescu, R. Cotetiu, A. Cotetiu, D. Daraba, I. L. Alexandrescu, The Electrical Resistance of the Lubricant Film in the Case of the Hydrodynamic Sliding Bearing Subjected to Shocks, Carpathian Journal of Electrical Engineering, vol. 17, no. 1, pp. 42-48, 2023.
Ioan Marius ALEXANDRESCU, Radu COTETIU, Adriana COTETIU, Dinu DARABA, Ioana Laura ALEXANDRESCU,Technical University of Cluj-Napoca, Ioan.Alexandrescu@imtech.utcluj.ro
Keywords: minimal lubricating film, electrical resistance, radial sliding bearing
Abstract: This paper presents experimental research on electrical resistance of the lubricant film, shock absorption in the lubricating film, under different static and dynamic load conditions. We focus on determination of the minimal lubricating film which estimates the minimum lubricating thickness between spindle and bushing in the case of the hydrodynamic sliding bearing subjected to shocks.
ALTERNATIVE LOW-COMPLEXITY APPROACHES FOR PAPR REDUCTION IN FBMC-OQAM SYSTEMS
Copy citation: S. Senhadji, F. T. Bendimerad, Alternative Low-Complexity Approaches for PAPR Reduction in FBMC-OQAM Systems, Carpathian Journal of Electrical Engineering, vol. 17, no. 1, pp. 49-62, 2023.
Salima SENHADJI, Fethi Tarik BENDIMERAD, LTT Laboratory, Department of telecommunications, Abou Bakr Belkaid University, Tlemcen, Algeria, salima.senhadji@univ-tlemcen.dz
Keywords: FBMC-OQAM, PAPR, TR, TD, TC
Abstract: Recently, the Filter Bank Multi-Carrier with Offset-QAM modulation (FBMC-OQAM) system proved to be a strong candidate wave that can replace the conventional OFDM (Orthogonal Frequency Division Multiplexing) through several properties in future mobile generations (5G and 5G+). However, it faces a significant issue, which is high Peak-to-Average-Power-Ratio (PAPR) as all advanced waveforms. Many researchers have proposed either hybrid or non-hybrid techniques adapted to the FBMC-OQAM structure to minimize the PAPR parameter. Nevertheless, all of these techniques suffer from high complexity, which is a significant challenge in practical implementations. Therefore, in this paper, we propose two alternative low-complexity approaches, TD and TC, to effectively mitigate the PAPR problem in FBMC-OQAM systems. Both proposed hybrid schemes achieve superior PAPR performance compared to the conventional TR and very competitive results in comparison to the existing literature algorithms while requiring less computational complexity.
DECENTRALIZED ARCHITECTURES IN IOT DATA SHARING USING BLOCKCHAIN TECHNOLOGY
Copy citation: C. Costea, Decentralized Architectures in IOT Data Sharing Using Blockchain Technology, Carpathian Journal of Electrical Engineering, vol. 17, no. 1, pp. 63-71, 2023.
Cristinel COSTEA, Technical University of Cluj-Napoca, North University Centre of Baia Mare, cristinel.costea@ieec.utcluj.ro
Keywords: Content addressable storage, Blockchains, Distributed systems
Abstract: The development of IoT applications generally relies on centralized architectures, whether they use solutions based on cloud or on premises environments, usually operated by a single entity. However, recent technologies and the increasing number of interconnected intelligent devices are driving new approaches, the essential requirements being scalability and fault-tolerance. This work studies an alternative concept based on a decentralized architecture useful in several scenarios and focuses on available technologies for potential practical implementations.
Copy citation: E. K. Adjei-Saforo, F. B. Effah, M. Adam, E. Shahrouz, E. A. Frimpong, Optimizing Duty Ratios in a Grid-Interactive Inverter: A Five-Level, Three-Leg, Three-Phase Cascaded H-Bridge Approach Employing MPCC with an Explicit Integration Algorithm, Carpathian Journal of Electrical Engineering, vol. 17, no. 1, pp. 72-92, 2023.
Edmund Kwafo ADJEI-SAFORO1,2, Francis Boafo EFFAH1, Misbawu ADAM2, Ebrahimpanah SHAHROUZ3,Emmanuel Asuming FRIMPONG1, 1Kwame Nkrumah Unversity of Science and Technology, 2Kumasi Technical University, 3Wuhan University of Technology, ekadjeisaforo@st.knust.edu.gh, kingacid17@gmail.com, adam.misbawu@kstu.edu.gh
Keywords: Total harmonic distortion, three level three-leg, model predictive current control
Abstract: The model predictive current control stands out as a robust control strategy extensively applied in the enhancement of various industrial applications. Renowned for its capacity to handle multiple inputs and generate multiple outputs (MIMO), it is recognized for its consistently excellent performance and unique stable control techniques. However, the computational intensity required to remedy an optimization task at each time step poses a potential drawback, impacting its suitability for real-time control applications and potentially affecting system performance. This study introduces the concept of duty cycle optimization, leveraging the explicit integration approximation. This involves the application of rectangular voltage for both non-zero as well as zero within one control period to minimize current ripples in the grid-interactive system. Additionally, error minimization is achieved through the selection of the duration for the two-rectangular voltage. Experimental and simulation results validate the substantial reductions in ripple current as well as total harmonic distortion achieved through this approach.