Electrical Engineering最新文献_第9页

Adaptive neural network predefined time control for magnetic levitation linear motor with current constraints and mismatched disturbances 具有电流约束和不匹配干扰的磁悬浮直线电机的自适应神经网络预定义时间控制

IF 1.6 4区工程技术

Electrical Engineering Pub Date : 2024-08-08 DOI: 10.1007/s00202-024-02655-7

Zelai Xu, Y. Lan, Cheng Lei

引用次数: 0

Sensitivity analysis of crosstalk in transmission lines to geometric uncertainties 输电线路串扰对几何不确定性的敏感性分析

IF 1.8 4区工程技术

Electrical Engineering Pub Date : 2024-08-07 DOI: 10.1007/s00202-024-02662-8

Abdelali Allal, Boubakeur Ahmed

引用次数: 0

Energy management system optimized for profit maximization of a photovoltaic plant with batteries applied to the short-term energy market 应用于短期能源市场的优化能源管理系统，实现带电池光伏电站的利润最大化

IF 1.8 4区工程技术

Electrical Engineering Pub Date : 2024-08-07 DOI: 10.1007/s00202-024-02633-z

Liane Marques de Oliveira, Camila Seibel Gehrke, Micael Praxedes de Lucena, Lucas Haas, Sidnéia Lira Cavalcante, Lucas Vinícius Hartmann, Flávio da Silva Vitorino Gomes, Italo Roger Ferreira Moreno Pinheiro da Silva

{"title":"Energy management system optimized for profit maximization of a photovoltaic plant with batteries applied to the short-term energy market","authors":"Liane Marques de Oliveira, Camila Seibel Gehrke, Micael Praxedes de Lucena, Lucas Haas, Sidnéia Lira Cavalcante, Lucas Vinícius Hartmann, Flávio da Silva Vitorino Gomes, Italo Roger Ferreira Moreno Pinheiro da Silva","doi":"10.1007/s00202-024-02633-z","DOIUrl":"https://doi.org/10.1007/s00202-024-02633-z","url":null,"abstract":"Photovoltaic (PV) generation plants, due to the intermittent nature of their output power, can benefit from the integration of Battery Energy Storage Systems (BESSs). In this context, this work proposes an optimized energy management system (EMS) for a joint operation of BESS in utility-scale PV plants (PV/BESS) aiming to profit maximization. The optimization of the BESS operation was achieved from the genetic algorithm, and for the problem formulation, the following cost functions were defined in the objective function: the energy pricing system; the costs associated with degradation and total loss of the batteries; the penalty related to exceeding the maximum power contracted. The proposed EMS defines the reference for a BESS to be integrated into a PV plant located in Coremas, Brazil. The results were obtained from a simulation architecture similar to the PV plant and demonstrated positive financial gains, compared to the operation of the PV plant without BESS. In the simulation of a whole year of operation, it was possible to achieve an additional daily revenue gain of up to 11%.","PeriodicalId":50546,"journal":{"name":"Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141935609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hybrid binarized neural network for high-accuracy classification of power quality disturbances 用于高精度电能质量干扰分类的混合二值化神经网络

IF 1.8 4区工程技术

Electrical Engineering Pub Date : 2024-08-07 DOI: 10.1007/s00202-024-02650-y

Hui Li, Changhao Zhu, Xiao Liu, Lijuan Li, Hongzhi Liu

{"title":"Hybrid binarized neural network for high-accuracy classification of power quality disturbances","authors":"Hui Li, Changhao Zhu, Xiao Liu, Lijuan Li, Hongzhi Liu","doi":"10.1007/s00202-024-02650-y","DOIUrl":"https://doi.org/10.1007/s00202-024-02650-y","url":null,"abstract":"Binarized Neural Network (BNN) is a technique for reducing computational complexity and memory requirements by constraining weights and activations to binary values, enabling deployment on lightweight platforms. However, the current BNNs confront a problem of limited accuracy due to significant information loss, thereby failing to deal with in complex tasks, especially in power quality disturbance (PQD) classification. To solve this problem, we propose a hybrid binarized neural network (HBNN) model that reintroduces full-precision convolutional layers. This allows for the retention of more details and features from the original data, thereby enhancing the network’s representation of the data. HBNN enhances the nonlinear expressive capability by incorporating a full-precision convolutional layer as the input layer, while the subsequent layers maintain the binarized layer to reduce model complexity, enabling the network to better adapt to lightweight platforms. We validate the proposed method and the alternative baselines for classifying 16 types of power quality disturbances. Experiments demonstrate that HBNN improves accuracy by 9.13% compared to BNN.","PeriodicalId":50546,"journal":{"name":"Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141935613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-objective planning for optimal location, sizing, and power factor of distributed generators with capacitor banks in unbalanced power distribution networks 不平衡配电网络中带有电容器组的分布式发电机的最佳位置、规模和功率因数的多目标规划

IF 1.8 4区工程技术

Electrical Engineering Pub Date : 2024-08-05 DOI: 10.1007/s00202-024-02612-4

Pappu Kumar Saurav, Swapna Mansani, Partha Kayal

{"title":"Multi-objective planning for optimal location, sizing, and power factor of distributed generators with capacitor banks in unbalanced power distribution networks","authors":"Pappu Kumar Saurav, Swapna Mansani, Partha Kayal","doi":"10.1007/s00202-024-02612-4","DOIUrl":"https://doi.org/10.1007/s00202-024-02612-4","url":null,"abstract":"Allocating local real and reactive power effectively within distribution networks is crucial for meeting customer demand and upholding the quality of electrical energy. Optimal placement of distributed generators (DGs) and capacitor banks (CBs) is paramount in enhancing the efficiency of the power distribution system. However, in unbalanced radial distribution networks, achieving proper DG unit allocation remains challenging due to phase imbalances in loading and network structure, hindering the utilization of their full capacity. This article proposes a method for determining the suitable locations, sizes, and power factors of DG with CB units, considering the inherently unbalanced operation of the distribution network. The objective function aims to minimize power loss, improve multi-phase voltage stability, and enhance voltage balance among phases within the system. To address this complex multi-objective optimization problem, a fast and flexible radial power flow (FFRPF) technique is integrated, and an adaptive weighted aggregation method utilizing particle swarm optimization (PSO) is employed for the solution. The proposed algorithm’s performance is evaluated on unbalanced radial distribution networks (URDNs) consisting of 19, 25, 34, and 123 buses under various scenarios. Investigation of the simulation’s output reveals significant enhancements in power distribution efficiency across all tested URDNs.","PeriodicalId":50546,"journal":{"name":"Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141935610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparative analysis and control design of two non-isolated DC–DC converters with high reduction ratio 两种高减速比非隔离式 DC-DC 转换器的比较分析和控制设计

IF 1.8 4区工程技术

Electrical Engineering Pub Date : 2024-08-04 DOI: 10.1007/s00202-024-02642-y

Christopher J. Rodriguez-Cortes, Panfilo R. Martinez-Rodriguez, Jose M. Sosa-Zuniga, Diego Langarica-Cordoba, Rafael Cisneros-Montoya, Gerardo Vazquez-Guzman, David Reyes-Cruz

{"title":"Comparative analysis and control design of two non-isolated DC–DC converters with high reduction ratio","authors":"Christopher J. Rodriguez-Cortes, Panfilo R. Martinez-Rodriguez, Jose M. Sosa-Zuniga, Diego Langarica-Cordoba, Rafael Cisneros-Montoya, Gerardo Vazquez-Guzman, David Reyes-Cruz","doi":"10.1007/s00202-024-02642-y","DOIUrl":"https://doi.org/10.1007/s00202-024-02642-y","url":null,"abstract":"In this paper, two step-down converters with a high reduction ratio based on the concept of switched inductors and switched capacitors are analyzed, modeled, and controlled. These topologies can achieve a high-voltage step-down ratio compared to a conventional buck converter. The proposed topologies have the same conversion ratio in terms of the duty cycle, however, they have different operating principles, and thus, different design, modeling, and control strategies must be followed. Therefore, the guidelines for the design of these types of converters are proposed here. Furthermore, to show the benefits of selected topologies, a comparison between them and other topologies with similar voltage ratios is presented. The comparison is made regarding the number of semiconductors, number of passive elements, and switch electrical stress. Besides, model-based control strategies are proposed for both converters. The modeling process yields a second-order system for the switched inductor-based converter structure and a fourth-order system for the switched capacitor-based converter. Based on these models, control laws are designed resulting in multi-loop controllers, formed by inner and outer control loops. These control schemes are aimed to guarantee output voltage regulation and, therefore, zero steady-state error of the states in each system. Finally, the performance of the proposed control strategies and converters is evaluated on an experimental setup.","PeriodicalId":50546,"journal":{"name":"Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141935612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimizing grid connected photovoltaic systems using elementary LUO converter and GWO-RBFNN based MPPT 利用基本 LUO 转换器和基于 GWO-RBFNN 的 MPPT 优化并网光伏系统

IF 1.8 4区工程技术

Electrical Engineering Pub Date : 2024-08-03 DOI: 10.1007/s00202-024-02637-9

R. Sreedhar, K. Karunanithi, S. Ramesh, S. P. Raja, Naresh Kumar Pasham

{"title":"Optimizing grid connected photovoltaic systems using elementary LUO converter and GWO-RBFNN based MPPT","authors":"R. Sreedhar, K. Karunanithi, S. Ramesh, S. P. Raja, Naresh Kumar Pasham","doi":"10.1007/s00202-024-02637-9","DOIUrl":"https://doi.org/10.1007/s00202-024-02637-9","url":null,"abstract":"The deployment of grid connected photovoltaic (PV) systems has become increasingly vital in the pursuit of sustainable and renewable energy sources. As the global demand for electricity rises, the efficient and reliable incorporation of PV power into electrical grid is of paramount importance. An elementary Luo converter is employed here to enhance the resultant voltage of PV array. To further improve the system’s performance, a Grey Wolf optimized radial basis function neural network (GWO-RBFNN) is employed for maximum power point tracking (MPPT). The GWO algorithm is employed to fine-tune output of RBFNN, making it capable of adaptively extract maximum power. According to the obtained MPP, the input signals to the pulse width modulation generator is tuned using the proposed hybrid MPPT controller. These pulses regulates the operation of elementary Luo converter and guarantees maximum energy conversion efficiency. The converter’s DC link voltage is subsequently subject into grid through a single-phase voltage source inverter which is synchronized with the grid. To facilitate seamless grid integration and synchronization, a conventional proportional integral (PI) controller is deployed. The simulation outputs attained using Matlab results in a robust and efficient system, capable of contributing reliable renewable energy to the grid. The tracking efficiency of the proposed hybrid MPPT controller reaches up to 98.1% and the THD value is reduced to 2.95% which indicates the power quality of the proposed system.","PeriodicalId":50546,"journal":{"name":"Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141935611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design consideration of a novel hybrid-magnetic-field machine combining RSMs and HIAs for high-power PPS 针对大功率 PPS 的 RSM 和 HIA 新型混合磁场机的设计考虑

IF 1.8 4区工程技术

Electrical Engineering Pub Date : 2024-08-03 DOI: 10.1007/s00202-024-02641-z

Longjian Liu, Kexun Yu, Xianfei Xie

{"title":"Design consideration of a novel hybrid-magnetic-field machine combining RSMs and HIAs for high-power PPS","authors":"Longjian Liu, Kexun Yu, Xianfei Xie","doi":"10.1007/s00202-024-02641-z","DOIUrl":"https://doi.org/10.1007/s00202-024-02641-z","url":null,"abstract":"The eddy-current losses of the solid rotor of homopolar inductor alternator (HIA) used for the high-power pulsed power supply (PPS) draw sufficient attention for serious temperature rising and efficiency problem. This paper introduces a novel hybrid-magnetic-field machine (HMFM) to address this issue. The novel HMFM is a hybrid of a conventional HIA and a reluctance-synchronous machine (RSM), integrating both the motor and generator functions. The rotor of the novel HMFM is made of silicon steel sheet rather than alloyed steel in order to reduce the rotor losses. For high-power PPS, the novel HMFM does not require an external driven motor to accelerate the rotor to store the inertia energy. Its design considerations for high-power PPS are presented in, and the comparison between the two PPSs is discussed in this paper. The results show that the rated field current of HMFM with silicon-steel-sheet rotor is about 12.5% larger than the HMFM with solid rotor. And the PPSs based on novel HMFM are much more efficient than conventional HIA. What’s more, its continuous ability is much better than the conventional HIA.","PeriodicalId":50546,"journal":{"name":"Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141881435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced supervisor energy management technique of DC microgrid-based PV/wind/battery/SC 基于光伏/风能/电池/太阳能的直流微电网增强型主管能源管理技术

IF 1.8 4区工程技术

Electrical Engineering Pub Date : 2024-08-02 DOI: 10.1007/s00202-024-02622-2

Mohammed Abdulelah Albasheri, Ouahid Bouchhida, Youcef Soufi, Abderrezzak Cherifi

{"title":"Enhanced supervisor energy management technique of DC microgrid-based PV/wind/battery/SC","authors":"Mohammed Abdulelah Albasheri, Ouahid Bouchhida, Youcef Soufi, Abderrezzak Cherifi","doi":"10.1007/s00202-024-02622-2","DOIUrl":"https://doi.org/10.1007/s00202-024-02622-2","url":null,"abstract":"Isolated DC microgrid-based renewable energy sources (RES) require a concurrent high energy and high-power density presence. The most effective approach is employing a hybrid energy storage system (HESS). Supercapacitors (SCs) are used to recover braking energy during fast power changes to improve battery performance and decrease battery stress. Additionally, SCs can be utilized to keep batteries charged for prolonged periods and store surplus energy generated by RES. This paper suggests an energy management technique EMT to facilitate energy sharing among RES, HESS, and the demand load. The EMT ensures that the state of charge SOC of the HESS remains within the limitation range (80% ≥ SOC ≥ 20%). Furthermore, the EMT regulates the DC link voltage and tracks the battery and SC with desired current references in twelve different scenarios. The effectiveness of the suggested EMT is verified through simulated tests performed under various fluctuations and operating situations. The EMT demonstrates successful power sharing among the components and achieves faster DC link voltage regulation with less than 2% overshoot. Moreover, the EMT enhances power quality attributes in the DC microgrid and enables smooth mode transitions.","PeriodicalId":50546,"journal":{"name":"Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141881436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on current harmonic suppression strategy of HSPMSM based on super twisting sliding mode control 基于超扭曲滑模控制的 HSPMSM 电流谐波抑制策略研究

IF 1.8 4区工程技术

Electrical Engineering Pub Date : 2024-08-02 DOI: 10.1007/s00202-024-02610-6

Jian-Yuan Wang, Xiao-Xuan Chen, Yu-Xiang Liu, Su Yan, Yan-Ping Zhang, Hao-Yu Wang

引用次数: 0