Computers & Electrical Engineering最新文献_第10页

PV-fed multi-output buck converter-based renewable energy storage system with extended current control for lifetime extension of Li-ion batteries 基于光伏馈电多输出降压转换器的可再生能源储能系统，具有延长锂离子电池寿命的扩展电流控制功能

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2024-10-12 DOI: 10.1016/j.compeleceng.2024.109757

Muhammed Reşit Çorapsiz

{"title":"PV-fed multi-output buck converter-based renewable energy storage system with extended current control for lifetime extension of Li-ion batteries","authors":"Muhammed Reşit Çorapsiz","doi":"10.1016/j.compeleceng.2024.109757","DOIUrl":"10.1016/j.compeleceng.2024.109757","url":null,"abstract":"<div><div>Recently, there has been a visible intensification of research on increasing the cycle life of energy storage devices used in Photovoltaic (PV)-fed energy storage systems (ESS). Compared to existing battery technologies, Lithium-ion (Li-ion) batteries have advantages such as high energy density and high cycle life. However, many existing Hybrid energy storage system (HESS) suffers from the fact that Li-ion batteries have limited cycle life, calendar and cycle aging. Therefore, attention has shifted towards the charging techniques necessary to improve the service life of Li-ion batteries by increasing their cycle life and reducing capacity losses. One such approach is to charge the battery by gradually increasing it from a certain level, rather than starting the charging process directly with the maximum charging current. This study proposes Extended Current Control (ECC) to reduce battery capacity losses and extend service life in PV-fed HESSs. The maximum power point (MPP) of the PV module is provided by the Perturb and observe (P&O) algorithm via the supercapacitor (SC) converter, while ECC is performed via the battery converter. This approach requires less hardware, unlike optimization, rule, or filtering based techniques. Controlling the battery current over a large area protects the battery packs from high currents at the start of charge and reduces capacity losses by increasing cycle life. Compared to PV-fed ESS containing only battery packs, the proposed technique provides a 40 % improvement in battery charging current, an 8 % improvement in the converter duty ratio in reaching the MPP point, and a 31.69 % improvement in battery capacity fades.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"120 ","pages":"Article 109757"},"PeriodicalIF":4.0,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142418988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Revolutionizing protection dynamics in microgrids: Local validation environment and a novel global management control through multi-agent systems 革新微电网的保护动态：本地验证环境和通过多代理系统实现的新型全局管理控制

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2024-10-12 DOI: 10.1016/j.compeleceng.2024.109748

Andrés M. Díaz Caicedo , Édinson Franco Mejia , Eduardo Gómez Luna

{"title":"Revolutionizing protection dynamics in microgrids: Local validation environment and a novel global management control through multi-agent systems","authors":"Andrés M. Díaz Caicedo , Édinson Franco Mejia , Eduardo Gómez Luna","doi":"10.1016/j.compeleceng.2024.109748","DOIUrl":"10.1016/j.compeleceng.2024.109748","url":null,"abstract":"<div><div>Amid rapid renewable sources expansion in distribution systems, novel operational and protection challenges emerge due to dynamic variations. To address these issues, an innovative hierarchical protection strategy based on an agent-based structure has been developed. This approach integrates a dual-tier system managing digital structure comparisons and modular agent fusion. At the upper tier, critical operational decisions are made while preserving protection coordination, while lower tiers oversee event analysis and relay updates. A key advantage of this system is its autonomous ability to sustain protection coordination during adjustments of topology and control operation scenarios. Integration of controlled harmonic insertion post-fault and control adaptations ensures stability. A validation agent divides the network through IDs, enabling precise communication and ensuring the effective functioning of supplementary protection across various zones, independent of performance failures in the master agent. Efficacy of this strategy has been validated through simulation studies within the University of Valle’s microgrid.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"120 ","pages":"Article 109748"},"PeriodicalIF":4.0,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142418889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

UTXOAnalysis: A distributed graph storage and analysis system for UTXO-based cryptocurrencies UTXOAnalysis：基于UTXO的加密货币的分布式图存储和分析系统

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2024-10-12 DOI: 10.1016/j.compeleceng.2024.109760

Ruibin Yan, Zeyu Zhang , Dechun Yin, Zhihao Li, Yuan Gao, Yijun Gu

{"title":"UTXOAnalysis: A distributed graph storage and analysis system for UTXO-based cryptocurrencies","authors":"Ruibin Yan, Zeyu Zhang , Dechun Yin, Zhihao Li, Yuan Gao, Yijun Gu","doi":"10.1016/j.compeleceng.2024.109760","DOIUrl":"10.1016/j.compeleceng.2024.109760","url":null,"abstract":"<div><div>Relationship analysis of cryptocurrencies is crucial for understanding and regulating their ecosystems with graph structures. In particular, the relationships of the UTXO-based cryptocurrencies, which were developed earlier, form ecosystems with more integrated and larger graph structures. It is a challenge to efficiently store such large graphs and to efficiently query and analyze these graphs. In this paper, we propose UTXOAnalysis to solve these problems. UTXOAnalysis is a distributed graph storage and analysis system with a three-level structure. In the data collection framework, UTXOAnalysis adopts batch queries and block pruning. In the parsing and storage framework, UTXOAnalysis utilizes the parallel approaches of multi-graph parsing and storage. UTXOAnalysis also provides these methods for incremental data. In the analysis framework, UTXOAnalysis supplies address relationship analysis, transaction relationship analysis, and cryptocurrency flow tracing, which are the three basic analysis methods. In our experiments, we collected data from Bitcoin and Zcash to demonstrate the efficiency of data collection, parsing, storage, and basic analysis. UTXOAnalysis is more efficient in storing and analyzing UTXO-based cryptocurrencies than the baseline methods.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"120 ","pages":"Article 109760"},"PeriodicalIF":4.0,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142418887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High precision DSRC and LiDAR data integration positioning method for autonomous vehicles based on CNN 基于 CNN 的自动驾驶汽车高精度 DSRC 和激光雷达数据集成定位方法

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2024-10-12 DOI: 10.1016/j.compeleceng.2024.109741

Yuhao Yang, Guolun Yuan

{"title":"High precision DSRC and LiDAR data integration positioning method for autonomous vehicles based on CNN","authors":"Yuhao Yang, Guolun Yuan","doi":"10.1016/j.compeleceng.2024.109741","DOIUrl":"10.1016/j.compeleceng.2024.109741","url":null,"abstract":"<div><div>In order to improve the safe driving and automatic positioning capability of autonomous vehicles, a high-precision DSRC and LiDAR data integration positioning technology for autonomous vehicles based on CNN is proposed. Import the data of Dedicated Short Range Communications and Light Detection and Ranging for automatic driving vehicle positioning, carry out kinematic analysis of autonomous driving vehicles under multi-sensor fusion, and transform the data of DSRC and LiDAR sensors into tightly coupled coordinate systems; The CNN depth learning method is used to compensate the position and attitude tracking estimation error under the overall time stamp synchronization of the sensor through adaptive information tracking; The first and second order feedforward compensation is made for the positioning parameters of the autonomous driving vehicle using the PID model, and the point cloud feature matching model is fused to complete the estimation of the positioning attitude parameters of the autonomous driving vehicle. In order to eliminate the noise interference under the DSRC communication mechanism, the Kalman filter function is used to automatically optimize the constraint parameters in the point cloud feature detection model, and the positioning error parameters are dynamically filtered and adjusted; Kinematics analysis is carried out for the driving state of the vehicle, and the positioning error in the vehicle movement is controlled through the difference technology to achieve high-precision DSRC and LiDAR data integration positioning. The simulation results show that this method can integrate and locate the high-precision DSRC and LiDAR data of the autonomous vehicle, and the attitude estimation and positioning accuracy of the vehicle is good, while the error of the attitude parameter estimation of the autonomous vehicle is low.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"120 ","pages":"Article 109741"},"PeriodicalIF":4.0,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142419090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A distributed end-to-end fair bandwidth allocation algorithm for multi-path networks 多路径网络的分布式端到端公平带宽分配算法

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2024-10-11 DOI: 10.1016/j.compeleceng.2024.109635

Haitao Wang , Lihua Song

{"title":"A distributed end-to-end fair bandwidth allocation algorithm for multi-path networks","authors":"Haitao Wang , Lihua Song","doi":"10.1016/j.compeleceng.2024.109635","DOIUrl":"10.1016/j.compeleceng.2024.109635","url":null,"abstract":"<div><div>Multi-path transmission significantly improves network performance, yet it complicates the problem of fair resource allocation. While traditional fair bandwidth allocation schemes thrive in single-path settings, they often falter when applied to multi-path environments, highlighting the challenge of achieving fair bandwidth sharing in such networks. To tackle this issue, the concept of \"max-min similarity\" of queuing delays has been introduced based on insight into the intrinsic interactions between queuing packets, delays, and bandwidth allocation, which leads to a formal definition of max-min fair bandwidth allocation for multi-path environments. Theoretical analysis shows that the max-min similarity of queuing delays is a sufficient condition for max-min fair bandwidth allocation in single bottleneck environments. A novel distributed end-to-end fair bandwidth allocation algorithm, named DMFBA, is then proposed, which separates the control into flow-level and transmission path-level. In achieving max-min similarity in queuing delays by dynamically adjusting the distribution of flows’ queuing packet quotas across paths it achieves the goal of max-min fair bandwidth allocation. Two sets of numerical simulation experiments were conducted and the results show that DMFBA has less overhead and faster convergence than the traditional utility fair algorithms.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"120 ","pages":"Article 109635"},"PeriodicalIF":4.0,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatiotemporal Action Detection Using 2D CNN and 3D CNN 使用二维 CNN 和三维 CNN 进行时空动作检测

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2024-10-10 DOI: 10.1016/j.compeleceng.2024.109739

Hengshuai Liu , Jianjun Li, Yuhong Tang, Ningfei Zhang, Ming Zhang, Yaping Wang, Guang Li

{"title":"Spatiotemporal Action Detection Using 2D CNN and 3D CNN","authors":"Hengshuai Liu , Jianjun Li, Yuhong Tang, Ningfei Zhang, Ming Zhang, Yaping Wang, Guang Li","doi":"10.1016/j.compeleceng.2024.109739","DOIUrl":"10.1016/j.compeleceng.2024.109739","url":null,"abstract":"<div><div>In order to address the low accuracy issue in human spatiotemporal action detection tasks, this study proposes a more effective CNN framework. Like YOWO model, we also use CNN for feature extraction, however, we only utilize the extracted spatiotemporal features for action recognition and the fused features of spatiotemporal and spatial information for action localization. Additionally, in the action localization branch, we make improvements to the original channel fusion and attention mechanism (CFAM). We introduce a combination of convolution and attention mechanisms to selectively replace the traditional convolutions, enabling more effective utilization of the fused features. Finally, in order to make the model more accurate for bounding box regression, we use CIoU loss instead of the offset loss. Results show that our proposed method achieves frame-mAP scores (@IoU 0.5) of 75.73 % and 83.13 % on JHMDB-21 and UCF101–24 datasets, respectively. For video-mAP, we obtain 88.96 %, 85.81 % and 68.59 % at IoU threshold of 0.2,0.5 and 0.75 on JHMDB-21 dataset and 75.05 %, 69.72 % and 48.95 % at IoU threshold of 0.1,0.2 and 0.5 on UCF101–24 dataset.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"120 ","pages":"Article 109739"},"PeriodicalIF":4.0,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hybrid leader corona virus herd optimizer with multilevel thresholding techniques for foreground and background image segmentation 混合领导者日冕病毒群优化器与多级阈值技术用于前景和背景图像分割

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2024-10-10 DOI: 10.1016/j.compeleceng.2024.109569

Sowmiya R, Sathya P․D

{"title":"Hybrid leader corona virus herd optimizer with multilevel thresholding techniques for foreground and background image segmentation","authors":"Sowmiya R, Sathya P․D","doi":"10.1016/j.compeleceng.2024.109569","DOIUrl":"10.1016/j.compeleceng.2024.109569","url":null,"abstract":"<div><div>In computer vision and image processing, an important role is given to image segmentation. As it can accurately extract and identify specific regions within an image. One of the key challenges that remain in this is achieving precise recognition and extraction of segmented regions. This can be solved by multilevel optimization techniques and this offers an effective solution. Recently, multilevel thresholding has emerged as an important technique for image segmentation as the separation of image pixels into various classes by the selection of optimal threshold values. However, when the number of thresholds increases, the computational complexity of multilevel thresholding also increases. To address this issue, various optimization algorithms are employed by the researchers. Thus, the Hybrid optimization techniques are integrated to enhance the overall efficacy of image segmentation processes. Thus, this research devised a Multithreshold-Hybrid Leader Coronavirus Herd Optimizer+kernel based Bayesian fuzzy clustering (Multithreshold-HLCHO+kernel-BFC) for the segmentation of foreground and background images. Here, the noise from the input image is removed using the Non-Local Means (NLM) filter and also the region of interest (ROI) extraction is done. The foreground and background image segmentation is done using the multilevel thresholding techniques, wherein threshold values are optimally generated utilizing HLCHO with multiobjectives like Renyi, Masi and Tsallic. Moreover, the integration of Hybrid Leader Based Optimization (HLBO) with Coronavirus Herd Immunity Optimizer (CHIO) forms the HLCHO. Also, the kernel-based BFC is employed for the segmentation of background and foreground images. Finally, the segmented output is achieved by fusing these two outputs using a fusion process. Additionally, Multithreshold-HLCHO+kernel-BFC acquired a maximum value of 0.891 for dice coefficient, 37.174 dB for PSNR, 0.918 for uniformity measure, and 0.297 for Mean Squared error (MSE).</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"120 ","pages":"Article 109569"},"PeriodicalIF":4.0,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Edge-cloud collaboration for low-latency, low-carbon, and cost-efficient operations 边缘-云协作，实现低延迟、低碳和经济高效的运营

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2024-10-10 DOI: 10.1016/j.compeleceng.2024.109758

Xueying Zhai , Yunfeng Peng , Xiuping Guo

{"title":"Edge-cloud collaboration for low-latency, low-carbon, and cost-efficient operations","authors":"Xueying Zhai , Yunfeng Peng , Xiuping Guo","doi":"10.1016/j.compeleceng.2024.109758","DOIUrl":"10.1016/j.compeleceng.2024.109758","url":null,"abstract":"<div><div>The growing demand for low-latency services and the increasing impact of carbon emissions pose challenges to traditional cloud computing architectures. Hence, to address the high latency limitations of traditional cloud computing and leverage the advantages of abundant renewable energy sources (RESs) and low-priced electricity of remote clouds, we design an edge-cloud collaboration system to distribute mixed workloads, aiming at meeting delay requirements while reducing carbon emissions and improving operating profits. Specifically, delay-sensitive workloads are allocated to nearby edge clouds, while delay-tolerant workloads are assigned to remote core clouds. Additionally, a multi-level scheduling strategy is proposed to flexibly allocate delay-tolerant workloads. Beyond responding to RES generation and electricity price signals, this strategy prioritizes workloads and reduces the supply of high-priced electricity to low-priority workloads, further decreasing electricity costs. Finally, we use Alibaba workload traces to evaluate the proposed strategy. Simulation results demonstrate that the proposed edge-cloud collaboration system can reduce the average response delay of delay-sensitive workloads by 33.42 times compared to the traditional cloud system. Additionally, compared to the effective energy storage systems (ESSs)-based algorithm, the proposed strategy not only reduces carbon emissions by 3.14% but also increases operating profits by 18.78%. These results highlight its potential to enhance environmental sustainability, economic benefits, and Quality of Service (QoS).</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"120 ","pages":"Article 109758"},"PeriodicalIF":4.0,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142419093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An intelligent ANFIS-based fault detection, classification, and location model for VSC-HVDC systems based on hybrid PCA-DWT signal processing technique 基于混合 PCA-DWT 信号处理技术的 VSC-HVDC 系统 ANFIS 智能故障检测、分类和定位模型

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2024-10-10 DOI: 10.1016/j.compeleceng.2024.109763

Ehsan Akbari , Milad Samady Shadlu

{"title":"An intelligent ANFIS-based fault detection, classification, and location model for VSC-HVDC systems based on hybrid PCA-DWT signal processing technique","authors":"Ehsan Akbari , Milad Samady Shadlu","doi":"10.1016/j.compeleceng.2024.109763","DOIUrl":"10.1016/j.compeleceng.2024.109763","url":null,"abstract":"<div><div>Designing an accurate model for fault detection, classification, and location is vital from the protection viewpoint. The adaptive neuro-fuzzy inference system (ANFIS) is a commonly used learning-based fault location model that performs independently from the propagating wave characteristics, whose performance can be improved by optimizing the membership functions associated with the inputs. Accordingly, two metaheuristic algorithms with the quick-search capability of the population space, i.e., Harris Hawks optimization (HHO) and cuckoo search (CS) optimization algorithms, are used in this paper to optimize the ANFIS, and their performances are compared with the traditional ANFIS training algorithms. Moreover, principal component analysis (PCA) is employed to detect the fault, and the discrete wavelet transform (DWT) strategy is exploited to acquire the ANFIS training and testing dataset according to the statistics <em>T</em><sup>2</sup> obtained by PCA. Three statistical indices, i.e., mean value, standard deviation, and norm entropy, are computed corresponding to the extracted wavelet coefficients from the current signal and applied to train and test the ANFIS. Optimized ANFIS conducts fault classification and location tasks, and the accuracy of the proposed model is compared with the commonly used traveling wave (TW) –based models and recently proposed fault location methods in the literature. Three fault types on the DC-link with three fault resistances are examined to confirm the fault classification superiority of the proposed model and its fault type/impedance-independent estimation capability. An accuracy rate of 99.995% is obtained for the fault locating task, while fault detecting and classifying are accomplished with an accuracy of 100%. Simulations and numerical studies are performed in MATLAB software.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"120 ","pages":"Article 109763"},"PeriodicalIF":4.0,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142418886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimizing integrated energy systems at park level: A cooperative game approach with exergy economics 在公园层面优化综合能源系统：采用放能经济学的合作博弈方法

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2024-10-09 DOI: 10.1016/j.compeleceng.2024.109762

Qiuju Chen , Jungang Wang

{"title":"Optimizing integrated energy systems at park level: A cooperative game approach with exergy economics","authors":"Qiuju Chen , Jungang Wang","doi":"10.1016/j.compeleceng.2024.109762","DOIUrl":"10.1016/j.compeleceng.2024.109762","url":null,"abstract":"<div><div>This study presents a comprehensive framework for optimizing energy systems by integrating exergy analysis, energy economics, and game theory. The concept of exergy, which quantifies the usable energy within a system, is employed to evaluate energy efficiency and losses across various energy sources, including thermal, cooling, chemical, and electrical systems. Stoichiometric coefficients, denoted by the factor λ, are utilized to simplify exergy calculations for different energy types and processes. The economic evaluation of energy flows is conducted through energy economics principles, incorporating cost allocation and balance equations. The integration of game theory into the optimization model ensures strategic interactions among energy components, leading to a Nash equilibrium that balances economic performance, efficiency, and environmental sustainability. The model also accounts for emissions and the required proportion of renewable energy. To solve the complex optimization problem, a modified Particle Swarm Optimization (PSO) algorithm is employed, featuring adaptive mechanisms for velocity and inertia updates, enhancing the search process for the optimal solution. The proposed framework is designed to optimize the Integrated Energy System (IES) efficiently, ensuring sustainable and economically viable energy management. The analysis of optimization strategies highlights a trade-off between cost and efficiency. Strategy 1, focused on minimizing cost, achieves the lowest cost at 4069.37 CNY, 25.79 % less than Strategy 2, but with a reduced exergy efficiency of 59.82 %, which is 10.14 % lower than Strategy 2′s 68.47 %. Strategy 3 offers a balanced approach, with a cost of 4970.89 CNY, 9.43 % higher than Strategy 1 but 9.43 % lower than Strategy 2. It achieves an exergy efficiency of 67.87 %, only 0.60 % lower than Strategy 2, thus providing a practical compromise between economic performance and efficiency.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"120 ","pages":"Article 109762"},"PeriodicalIF":4.0,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142419094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0