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| IJEEE welcomes scientifically and technically valid articles from all areas of electrical, electronic engineering, and computer science.
With a broad scope, the journal is meant to provide a unified and reputable outlet for rigorously peer-reviewed and well-conducted scientific research. See the full Aims & Scope here. As well as original articles, IJEEE publishes comprehensive review articles and short articles. The Iraqi Journal of Electrical and Electronic Engineering (IJEEE) is a peer-reviewed open access journal that undergoes a rigorous evaluation process and is freely accessible to the public. As of January 1, 2024, the publishing processing fee is set at 300,000 IQD (200 $). More details can be found here. |
Most Recent Articles
| Open Access | |
| The Effect of Sample Size on the Interpolation Algorithm of Frequency Estimation | |
| Husam Hammood, Ameer H Ali, and Nabil Jalil Aklo | |
| Version of record online: 9 December 2024 | DOI: 10.37917/ijeee.21.1.15 | Full Text (PDF) | |
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Fast and accurate frequency estimation is essential in various engineering applications, including control systems, communications, and resonance sensing systems. This study investigates the effect of sample size on the interpolation algorithm of frequency estimation. In order to enhance the accuracy of frequency estimation and performance, we describe a novel method that provides a number of approaches for calculating and defending the sample size for of the window function designs, whereas, the correct choice of the type and the size of the window function makes it possible to reduce the error. Computer simulation using Matlab / Simulink environment is performed to investigate the proposed procedure’s performance and feasibility. This study performs the comparison of the interpolation algorithm of frequency estimation strategies that can be applied to improve the accuracy of the frequency estimation. Simulation results shown that the proposed strategy with the Parzen and Flat-top gave remarkable change in the maximum error of frequency estimation. They perform better than the conventional windows at a sample size equal to 64 samples, where the maximum error of frequency estimation is 2.13e-2, and 2.15e-2 for Parzen and Flat-top windows, respectively. Moreover, the efficiency and performance of the Nuttall window also perform better than other windows, where the maximum error is 7.76×10-5 at a sample size equal to 8192. The analysis of simulation result showed that when using the proposed strategy to improve the accuracy of the frequency estimation, it is first essential to evaluate what is the maximum number of samples that can be obtained, how many spectral lines should be used in the calculations, and only after that choose a suitable window.| Open Access | |
| Advanced Neural Network-Based Load Frequency Regulation in Two-Area Power Systems | |
| Mohammed Taha Yunis, and Mohamed DJEMEL | |
| Version of record online: 6 December 2024 | DOI: 10.37917/ijeee.21.1.14 | Full Text (PDF) | |
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In this paper, enhancing dynamic performance in power systems through load frequency control (LFC) is explored across diverse operating scenarios. A new Neural Network Model Predictive Controller (NN-MPC) specifically tailored for two-zone load frequency power systems is presented. ” Make your paper more scientific. The NN-MPC marries the predictive accuracy of neural networks with the robust capabilities of model predictive control, employing the nonlinear Levenberg-Marquardt method for optimization. Utilizing local area error deviation as feedback, the proposed controller’s efficacy is tested against a spectrum of operational conditions and systemic variations. Comparative simulations with a Fuzzy Logic Controller (FLC) reveal the proposed NN-MPC’s superior performance, underscoring its potential as a formidable solution in power system regulation.| Open Access | |
| Optimal Assimilation of Distributed Generation in Radial Power Distribution System Using Hybrid Approach | |
| S K B Pradeepkumar CH, Sakthidasan A, Sundar R, Senthil Kumar M, Rajakumar P, Baburao P | |
| Version of record online: 5 December 2024 | DOI: 10.37917/ijeee.21.1.13 | Full Text (PDF) | |
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The performance of power distribution systems (PDS) has improved greatly in recent times ever since the distributed generation (DG) unit was incorporated in PDS. DG integration effectively cuts down the line power losses (PL) and strengthens the bus voltages (BV) provided the size and place are optimized. Accordingly, in the present work, a hybrid optimization technique is implemented for incorporating a single DG unit into radial PDS. The proposed hybrid method is formed by integrating the active power loss sensitivity (APLS) index and whale optimization meta-heuristic algorithm. The ideal place and size for DG are optimized to minimize total real power losses (TLP) and enhance bus voltages (BV). The applicability of the proposed hybrid technique is analyzed for Type I and Type III DG installation in a balanced IEEE 33-bus and 69-bus radial PDS. Optimal inclusion of type I and III DG in a 33-bus radial test system cut down TLP by 51.85% and 70.02% respectively. Likewise, optimal placement of type I and III DG reduced TLP by 65.18%, and 90.40%, respectively for 69-bus radial PDS. The impact of DG installation on the performance of radial PDS has been analyzed and a comparative study is also presented to examine the sovereignty of the proposed hybrid method. The comparative study report outlined that the proposed hybrid method can be a better choice for solving DG optimization in radial PDS.|
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