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Advances in electrical power engineering 电力工程进展
4区 工程技术 Q2 Engineering Pub Date : 2023-11-06 DOI: 10.24425/bpasts.2020.134192
Ł. Nogal, S. Robak, J.W. Bialek
Papers [4‒6] are related to smart grids, and are devoted to the issue of microgrids. The paper co-authored by A. Cagnano, E. De Tuglie, F. Marcone, G. Porro, and D.D. Rasolomampionona [4] presents a control strategy for real-time operation of a master-slave controlled microgrid. The proposed control strategy allows to schedule all dispatchable energy sources available into a microgrid to minimize its operational costs. Control decisions are made centrally by the system, whose operation is based on the solution of a two-stage optimization problem. Considered timescales of control problem are day-ahead and in real-time. The paper co-authored by M. Parol, P. Kapler, J. Marzecki, R. Parol, M. Połecki, and Ł. Rokicki [5] presents distributed control, combining the effects of distributed cooperative control and modified Monte Carlo optimization in the case of rural low voltage microgrids. Different objective functions for optimization process have been analyzed. Moreover, different scenarios for microgrid control system action with respect to communication loss have also been presented. The paper co-authored by A. Moulichon, V. Debusschere, L. Garbuio, M. A. Rahmani, M. Alamir, and N. Hadjsaid [6] is related to the topic of smart grids, too. The paper discusses a virtual synchronous generator and suggests a set of inverter tests. Inverters are supposed to work in a friendly way for isolated microgrids. The paper presents a virtual synchronous generator model and its application in an industrial inverter controller. The application of the proposed solution when utilised in large projects is presented. To determine the necessary directions of their development, requirements for future network-friendly generators based on inverters are defined. The conducted tests are aimed at ensuring that once the proposed standards are met, each virtual generator solution can be integrated into the microsystem. The paper co-authored by K. Kurek, Ł. Nogal, R. Kowalik, and M. Januszewski [7] presents software power protection tester that might replace conventional testing setups. The main contribution of the paper is an algorithm of multithreaded tester operation. The presented solution shows that it is possible to Electrical power engineering is one of the earliest research fields that has developed in electrical engineering. It deals with the generation, transmission, and distribution of electric power, considering the issues of efficient and economical use of energy resources. Due to climate change, environmental protection, and the depletion of mineral energy resources, the electric power systems of the future must deal with new challenges. For these reasons, electrical power engineering development does not stand still and currently is driven by the issues such as smart power grid, renewable energy sources integration, storage system, IT and communications technologies, apparatus and devices design, power and voltage control, and enhancement of security of electric
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引用次数: 2
Power quality management in electrical grid using SCANN controller-based UPQC 基于扫描控制器的UPQC在电网电能质量管理中的应用
4区 工程技术 Q2 Engineering Pub Date : 2023-11-06 DOI: 10.24425/bpasts.2022.140257
Varadharajan Balaji, Subramanian Chitra
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引用次数: 0
Active power losses and energy efficiency analysis of HPS lamps with electromagnetic control gear and electronic ballast under the sinusoidal and nonsinusoidal condition 带电磁控制装置和电子镇流器的HPS灯在正弦和非正弦工况下的有功功率损耗和能效分析
4区 工程技术 Q2 Engineering Pub Date : 2023-11-06 DOI: 10.24425/bpasts.2021.137194
Roman Sikora, Przemysław Markiewicz, Paweł Rózga
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引用次数: 0
Execution time prediction model for parallel GPU realizations of discrete transforms computation algorithms 并行GPU实现离散变换计算算法的执行时间预测模型
4区 工程技术 Q2 Engineering Pub Date : 2023-11-06 DOI: 10.24425/bpasts.2021.139393
Dariusz Puchala, Kamil Stokfiszewski, Kamil Wieloch
Abstract. Parallel realizations of discrete transforms (DTs) computation algorithms (DTCAs) performed on graphics processing units (GPUs) play a significant role in many modern data processing methods utilized in numerous areas of human activity. In this paper the authors propose a novel execution time prediction model, which allows for accurate and rapid estimation of execution times of various kinds of structurally different DTCAs performed on GPUs of distinct architectures, without the necessity of conducting the actual experiments on physical hardware. The model can serve as a guide for the system analyst in making the optimal choice of the GPU hardware solution for a given computational task involving particular DT calculation, or can help in choosing the best appropriate parallel implementation of the selected DT, given the limitations imposed by available hardware. Restricting the model to exhaustively adhere only to the key common features of DTCAs, enables the authors to significantly simplify its structure, leading consequently to its design as a hybrid, analytically–simulationial method, exploiting jointly the main advantages of both of the mentioned techniques, namely: time-effectiveness and high prediction accuracy, while, at the same time, causing mutual elimination of the major weaknesses of both of the specified approaches within the proposed solution. The model is validated experimentally on two structurally different parallel methods of discrete wavelet transform (DWT) computation, i.e. the direct convolution-based and lattice structure-based schemes, by comparing its prediction results with the actual measurements taken for 6 different graphics cards, representing a fairly broad spectrum of GPUs’ compute architectures. Experimental results reveal the model’s overall average execution time prediction accuracy to be at a level of 97.2%, with global maximum prediction error of 14.5%, recorded throughout all the conducted experiments, maintaining at the same time high average evaluation speed of 3.5 ms for single simulation duration. The results allow to infer model’s generality and possibility of extrapolation to other DTCAs and different GPU architectures, what, along with the proposed model’s straightforwardness, time-effectiveness and ease of practical application, makes it, in the authors’ opinion, a very interesting alternative to the related existing solutions.
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引用次数: 1
Aggregate segmentation of asphaltic mixes using digital image processing 数字图像处理沥青混合料的集料分割
4区 工程技术 Q2 Engineering Pub Date : 2023-11-06 DOI: 10.24425/bpas.2019.128115
O.J. Reyes-Ortiz, M. Mejía, J.S. Useche-Castelblanco
. The study of the different engineering materials according to their mechanical and dynamic characteristics has become an area of research interest in recent years. Several studies have verified that the mechanical properties of the material are directly affected by the distribution and size of the particles that compose it. Such is the case of asphalt mixtures. For this reason, different digital tools have been developed in order to be able to detect the structural components of the elements in a precise, clear and efficient manner. In this work, a segmentation model is developed for different types of dense-graded asphalt mixtures with grain sizes from 9.5 mm to 0.0075 mm, using sieve size reconstruction of the laboratory production curve. The laboratory curve is used to validate the particles detection model that uses morphological operations for elements separation. All this with the objective of developing a versatile tool for the analysis and study of pavement structures in a non-destructive test. The results show that the model presented in this work is able to segment elements with an area greater than 0.0324 mm 2 and reproduce the sieve size curves of the mixtures with a high percentage of precision.
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引用次数: 4
Design optimization of the Petri net-based production process supported by additive manufacturing technologies 基于Petri网的增材制造工艺优化设计
4区 工程技术 Q2 Engineering Pub Date : 2023-11-06 DOI: 10.24425/bpasts.2022.140693
Justyna Patalas-Maliszewska, Remigiusz Wiśniewski, Marcin Topczak, Marcin Wojnakowski
. In the era of smart manufacturing and Industry 4.0, the rapid development of modelling in production processes results in the implementation of new techniques, such as additive manufacturing (AM) technologies. However, large investments in the devices in the field of AM technologies require prior analysis to identify the possibilities of improving the production process flow. This paper proposes a new approach to determine and optimize the production process flow with improvements made by the AM technologies through the application of the Petri net theory. The existing production process is specified by a Petri net model and optimized by AM technology. The modified version of the system is verified and validated by the set of analytic methods safeguarding against the formal errors, deadlocks, or unreachable states. The proposed idea is illustrated by an example of a real-life production process.
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引用次数: 5
Research on optimization of unrelated parallel machine scheduling based on IG-TS algorithm 基于IG-TS算法的不相关并行机调度优化研究
4区 工程技术 Q2 Engineering Pub Date : 2023-11-06 DOI: 10.24425/bpasts.2022.141724
Xinfu Chi, Shijing Liu, Ce Li
. This issue is a typical NP-hard problem for an unrelated parallel machine scheduling problem with makespan minimization as the goal and no sequence-related preparation time. Based on the idea of tabu search (TS), this paper improves the iterative greedy algorithm (IG) and proposes an IG–TS algorithm with deconstruction, reconstruction, and neighborhood search operations as the main optimization process. This algorithm has the characteristics of the strong capability of global search and fast speed of convergence. The warp knitting workshop scheduling problem in the textile industry, which has the complex characteristics of a large scale, nonlinearity, uncertainty, and strong coupling, is a typical unrelated parallel machine scheduling problem. The IG–TS algorithm is applied to solve it, and three commonly used scheduling algorithms are set as a comparison, namely the GA–TS algorithm, ABC–TS algorithm, and PSO–TS algorithm. The outcome shows that the scheduling results of the IG–TS algorithm have the shortest manufacturing time and good robustness. In addition, the production comparison between the IG–TS algorithm scheduling scheme and the artificial experience scheduling scheme for the small-scale example problem shows that the IG–TS algorithm scheduling is slightly superior to the artificial experience scheduling in both planning and actual production. Experiments show that the IG–TS algorithm is feasible in warp knitting workshop scheduling problems, effectively realizing the reduction of energy and the increase in efficiency of a digital workshop in the textile industry.
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引用次数: 1
Statistical model for traffic noise prediction in signalised roundabouts 信号环岛交通噪声预测的统计模型
4区 工程技术 Q2 Engineering Pub Date : 2023-11-06 DOI: 10.24425/bpasts.2020.134190
M. Motylewicz, W. Gardziejczyk
The existing traff ic noise prediction models in road intersections relate mainly to the typical solutions of intersection geometry and traff ic organisation. There are no models for large and more complex intersections such as signalised roundabouts. This paper presents the results of studies on the development of a traff ic noise prediction model for this type of intersection. The model was developed using a multiple regression method based on the results of f ield measurements of traff ic parameters and noise levels in the vicinity of signalised roundabouts in Poland. The obtained model consists of two groups of variables affecting noise levels at the intersection. The f irst group determines in detail the inf luence of traff ic and geometry of the closest entry. The second group shows the inf luence of more distant noise sources (traff ic at the three remaining entries of the intersection) and the inf luence of the dimensions of the entire intersection. The developed model was verif ied through additional f ield measurements, as well as compared to the results of two methods of traff ic noise prediction: the French ‘NMPB-Routes-2008’ and the German ‘RLS-90’. The obtained results confirmed a higher accuracy of calculations performed using the developed model in the range of: −1.2 dB ÷ +1.0 dB, while the ‘NMPB-Routes-2008’ and ‘RLS-90’ calculate precision were respectively: −2.8 dB ÷ +1.3 dB, and +0.8 dB ÷ +5.2 dB. Therefore, the developed model allows for a more accurate prediction of noise levels in the vicinity of signalised roundabouts in a f lat terrain without buildings and noise barriers.
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引用次数: 5
The gyrotron for DNP-NMR spectroscopy: A review DNP-NMR光谱回旋管的研究进展
4区 工程技术 Q2 Engineering Pub Date : 2023-11-06 DOI: 10.24425/bpasts.2022.140354
Kacper Nowak
. This paper outlines the principle of the DNP-NMR technique. The gyrotron, as a very promising microwave source for NMR spectroscopy, is evaluated. Four factors: power stability, power tuning, frequency stability, and frequency tuning determine the usability of the gyrotron device. The causes of instabilities, as well as the methods of overcoming limitations and extending usability are explained with reference to the theory, the numerical and experimental results reported by gyrotron groups.
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引用次数: 2
Deep networks for image super-resolution using hierarchical features 基于层次特征的图像超分辨率深度网络
4区 工程技术 Q2 Engineering Pub Date : 2023-11-06 DOI: 10.24425/bpasts.2021.139616
Xin Yang, Yifan Zhang, Dake Zhou
. To better extract feature maps from low-resolution (LR) images and recover high-frequency information in the high-resolution (HR) images in image super-resolution (SR), we propose in this paper a new SR algorithm based on a deep convolutional neural network (CNN). The network structure is composed of the feature extraction part and the reconstruction part. The extraction network extracts the feature maps of LR images and uses the sub-pixel convolutional neural network as the up-sampling operator. Skip connection, densely connected neural networks and feature map fusion are used to extract information from hierarchical feature maps at the end of the network, which can effectively reduce the dimension of the feature maps. In the reconstruction network, we add a 3 × 3 convolution layer based on the original sub-pixel convolution layer, which can allow the reconstruction network to have better nonlinear mapping ability. The experiments show that the algorithm results in a significant improvement in PSNR, SSIM, and human visual effects as compared with some state-of-the-art algorithms based on deep learning.
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引用次数: 2
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Bulletin of the Polish Academy of Sciences-Technical Sciences
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