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Active Equalization of Lithium Battery Pack with Adaptive Control Based on DC Energy Conversion Circuit 基于直流能量转换电路的锂电池组自适应主动均衡
Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-10-09 DOI: 10.2174/0123520965272311231004051135
Jun Zhang, Feng Pan, Yilin Ji, Jinli Li, Jicheng Yu
Background:: How to solve the inconsistency of battery pack is a key point to ensure reliable operation of electric vehicles. Battery equalization is an effective measure to address the inconsistency. Passive equalization method has poor efficiency and thermal management problems. Average voltage equalization method is only suitable for situations where there is a significant voltage difference between batteries. The SOC-based equalization method is relatively difficult and may inevitably lead to the accumulation of errors during the process. background: Battery pack active equilibrium is an effective measure to alleviate the inconsistency between cells. Traditional control methods have some disadvantages. Objective:: In order to avoid the disadvantages of traditional control methods, a new control method is proposed to improve the accuracy and self-adaptation of active equalization, which is easy to be realized without online calculation. Methods:: Cascaded bidirectional Buck-Boost circuit is adopted as the novel equalization topology. Based on fuzzy PID theory, an adaptive digital-analog hybrid control strategy based on fuzzy PID is proposed in this paper. Parameter design of the fuzzy PID controller is carried out. A battery equalization system based on cascaded bidirectional Buck-Boost circuit is designed and developed. Experimental verification is conducted on relevant hardware platforms. method: Based on fuzzy PID theory, this paper designs a battery equilibrium system based on fuzzy PID adaptive hybrid control. Simulation analysis was conducted in MATLAB/Simulink environment, and parameter design of the fuzzy PID controller was carried out, and experimental verification was conducted on relevant hardware platforms. Results:: An adaptive digital-analog hybrid control strategy based on fuzzy PID is proposed. Compared to passive equalization, this proposed method provides high efficiency. Regarding traditional voltage control, the method improves control reliability and flexibility. Compared to the average voltage equalization method, the approach needs less convergence time. Moreover, the control method is much easier to realize than the SOC-based equalization method. result: The results show that compared with the traditional equilibrium control method, the equilibrium precision is improved and the degree of self-adaptation of the equilibrium process is better, which fully guarantees the reliability of the equilibrium system. Conclusion:: By using the presented adaptive control based on DC energy conversion circuit, the degree of self-adaptation of the equalization process has been obtained as higher and the inconsistency as smaller. other: none
背景:如何解决电池组不一致问题是保证电动汽车可靠运行的关键。电池均衡是解决不一致的有效措施。被动均衡法存在效率差和热管理问题。平均电压均衡法只适用于电池间电压差较大的情况。基于soc的均衡方法难度较大,在均衡过程中不可避免地会导致误差的积累。背景:电池组主动平衡是缓解电池间不一致的有效措施。传统的控制方法有一些缺点。目的:为了避免传统控制方法的弊端,提出了一种新的控制方法,提高了主动均衡的精度和自适应能力,无需在线计算即可实现。方法:采用级联双向Buck-Boost电路作为新型均衡拓扑。基于模糊PID理论,提出了一种基于模糊PID的自适应数模混合控制策略。对模糊PID控制器进行了参数设计。设计并开发了一种基于级联双向Buck-Boost电路的电池均衡系统。在相关硬件平台上进行了实验验证。方法:基于模糊PID理论,设计了一种基于模糊PID自适应混合控制的蓄电池平衡系统。在MATLAB/Simulink环境下进行仿真分析,对模糊PID控制器进行参数设计,并在相关硬件平台上进行实验验证。结果:提出了一种基于模糊PID的自适应数模混合控制策略。与被动均衡相比,该方法具有较高的效率。相对于传统的电压控制,该方法提高了控制的可靠性和灵活性。与平均电压均衡方法相比,该方法收敛时间短。而且,这种控制方法比基于soc的均衡方法更容易实现。结果:与传统的平衡控制方法相比,该方法提高了平衡精度,提高了平衡过程的自适应程度,充分保证了平衡系统的可靠性。结论:采用本文提出的基于直流能量转换电路的自适应控制,均衡过程的自适应程度较高,不一致性较小。其他:无
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引用次数: 0
The Optimal Control Method of Test Power Supply for DC Distribution Network 直流配电网试验电源的最优控制方法
Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-10-09 DOI: 10.2174/0123520965272293231005042405
Jun Zhang, Feng Pan, Yilin Ji, Jinli Li, Jicheng Yu
Background:: The test power supply is one of the key devices in the DC distribution network, which is necessary to supply power with high quality for testing other devices' performance. The double active bridge (DAB) converter is a common circuit topology for test power supply, which has the advantages of high-frequency electrical isolation, bi-directional power flow, and high power density. For the converter, control methods, such as single-phase-shift (SPS) control, and single-current stress or single-return power optimization under extended-phase-shift (EPS) control, have their limitations, which influences efficiency. Objective:: This paper aims to propose a dual-objective optimal control method, which can effectively improve efficiency of the test power supply. Methods:: This paper addresses the limitations of SPS control, and single-current stress or singlereturn power optimization under EPS control of the DAB converter, and proposes a dual-objective optimal control method based on the idea of using objective planning in the full power range under the condition of satisfying soft switching, which effectively improves efficiency of the test power supply. Results:: With the proposed dual-objective optimal control method, the converter achieves a smaller current stress similar to that with the single-current stress optimal control, and the return power is also reduced by 29.51%. Efficiency of the test power supply reaches 86.9%, which is better than 82.5% with SPS control and 85.3% with single-current stress optimization under EPS control. The experimental results fully verify the effectiveness of the proposed control method. Conclusion:: A dual-objective optimal control method is proposed. By using the presented method, current stress and return power are both optimally designed, so the efficiency of the test power supply can be effectively improved. conclusion: A dual-objective optimal control method is proposed. By using the presented method, the efficiency of the test power supply can be effectively improved. other: none
背景:测试电源是直流配电网中的关键设备之一,必须为测试其他设备的性能提供高质量的电源。双有源桥(DAB)变换器具有高频电隔离、双向潮流、高功率密度等优点,是测试电源常用的电路拓扑。对于变换器而言,单相移(SPS)控制、扩展相移(EPS)控制下的单电流应力或单回功率优化等控制方法都有其局限性,影响效率。目的:本文旨在提出一种能有效提高测试电源效率的双目标最优控制方法。方法:针对SPS控制的局限性,以及EPS控制下DAB变换器的单电流应力或单回功率优化问题,在满足软开关的情况下,在全功率范围内采用目标规划的思想,提出了一种双目标最优控制方法,有效提高了测试电源的效率。结果:采用本文提出的双目标最优控制方法,变换器的电流应力比单电流应力最优控制方法小,返回功率也降低了29.51%。测试电源效率达到86.9%,优于SPS控制下的82.5%和EPS控制下单电流应力优化的85.3%。实验结果充分验证了所提控制方法的有效性。结论:提出了一种双目标最优控制方法。采用该方法对测试电源的电流应力和返回功率进行了优化设计,有效地提高了测试电源的效率。结论:提出了一种双目标最优控制方法。采用该方法可以有效地提高测试电源的效率。其他:无
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引用次数: 0
A Simplified Model Predictive Current Control Strategy for Six-phase Hbridge Inverters 六相桥式逆变器的简化模型预测电流控制策略
Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-10-06 DOI: 10.2174/0123520965260939230928070008
Wenbao Hou, Gang Zhang, Wenjie Wang
Background:: The double-end H-bridge inverters can realize independent control of the stator voltage in each phase and have flexible advantages of modulation and fault tolerance; thus, they are more suitable for multi-phase fault-tolerant motor drives. However, due to the increase of voltage vectors and the coupling between the electromagnetic and non-electromagnetic quantities, the normal control strategies for traditional three-phase motor drives do not work anymore. Objective:: This paper aimed to propose a simplified model predictive current control strategy based on the vector space decomposition (VSD) and the vectors’ gradual simplification for the three-level six-phase H-bridge inverters. Methods:: Firstly, the 729 physical variables were decomposed and mapped onto the fundamental αβ subspace, harmonic xy subspace, and the zero-sequence o1o2 subspace based on the VSD. Then, to eliminate the influence of the harmonic and zero-sequence components on the control performance and make an easy digital implementation, vectors’ simplification has been proposed based on the in-depth analysis of the relationship between the voltage vectors mapped onto different subspaces and vectors’ stratification. With the simplification method, the number of voltage vectors was simplified from 729 to 12, and then the selected voltage vectors were used in the rolling optimization of the model predictive current control (MPCC) to choose the optimal one. Finally, sufficient experiments were carried out including static and dynamic conditions, different modulation index and power factor, etc., to verify the feasibility of the proposed strategy. Results:: The simulation and experimental results show that with the simplified MPCC strategy, both the static and dynamic performances are relatively good, and the THDs of the phase current under different modulations and power factors are relatively low. result: The simulation and experimental results show that with the simplified MPCC strategy, both the static and dynamic performances are relatively nice, the THDs of the phase current under different modulations and power factors are relatively low. Conclusion:: The proposed MPCC algorithm for the three-level six-phase H-bridge inverters has shown obvious improvement in solving the control problems of multi-vectors and complex redundancy issues. other: to eliminate the influence of the harmonic and zero-sequence components on the control performance and make an easy digital implementation, vectors simplification has been proposed based on the in-depth analysis of the relationship between the voltage vectors mapped onto different subplaces and vectors stratification.
背景:双端h桥逆变器可以实现对定子各相电压的独立控制,具有调制灵活、容错等优点;因此,它们更适合于多相容错电机驱动。然而,由于电压矢量的增加以及电磁量与非电磁量之间的耦合,传统三相电机驱动的常规控制策略已不再适用。目的:针对三电平六相h桥逆变器,提出一种基于矢量空间分解(VSD)和矢量逐步简化的简化模型预测电流控制策略。方法:首先,将729个物理变量分解并映射到基于VSD的基αβ子空间、调和xy子空间和零序o1o2子空间上。然后,为了消除谐波分量和零序分量对控制性能的影响,使其易于数字化实现,在深入分析映射到不同子空间的电压矢量与矢量分层关系的基础上,提出了矢量化简方法。通过简化方法,将电压矢量从729个简化为12个,然后将所选电压矢量用于模型预测电流控制(MPCC)的滚动优化,选择最优电压矢量。最后,进行了静态和动态条件、不同调制指数和功率因数等实验,验证了所提策略的可行性。结果:仿真和实验结果表明,简化后的MPCC策略具有较好的静态和动态性能,并且在不同调制方式和功率因数下相电流的THDs较低。结果:仿真和实验结果表明,简化后的MPCC策略具有较好的静态和动态性能,不同调制方式和功率因数下的相电流THDs相对较低。结论:本文提出的三电平六相h桥逆变器的MPCC算法在解决多矢量控制问题和复杂冗余问题方面有明显的改进。其他:为了消除谐波分量和零序分量对控制性能的影响,便于数字化实现,在深入分析映射到不同代位的电压矢量之间的关系和矢量分层的基础上,提出了矢量简化。
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引用次数: 0
Multi-objective Reactive Power Optimization of a Distribution Network based on Improved Quantum-behaved Particle Swarm Optimization 基于改进量子粒子群算法的配电网多目标无功优化
Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-10-03 DOI: 10.2174/0123520965262291230927052452
Weifeng Song, Gang Ma, Yuxuan Zhao, Weikang Li, Yuxiang Meng
Background:: Reactive power optimization (RPO) is crucial for distribution networks in the context of large-scale renewable distributed generation (RDG) access. background: Reactive power optimization (RPO) is crucial for distribution networks in the context of large-scale renewable distributed generation access. Objective:: To address the problems caused by the connection of RDG, an RPO model and an improved quantum-behaved particle swarm optimization (IQPSO) algorithm are proposed. Method: In this study, a dynamic S-type function is proposed as the objective function of the minimum active power loss, whereas an exponential function is proposed as the objective function of the minimum voltage deviation to establish an RPO objective function. The operating cost of distribution is considered as the third objective function. To address the RPO problem, a QPSO algorithm based on the ε-greedy strategy is proposed in this paper. ModifiedIEEE33 bus and IEEE69 bus systems were used to evaluate the proposed RPO method in simulations Results:: The simulation results reveal that the IQPSO algorithm obtains a better solution, and the proposed RPO model can considerably reduce active power loss, node voltage deviation, and distribution network operating costs. Conclusion:: The RPO model and IQPSO algorithm proposed in this study provide a highperformance method to analyze and optimize reactive power management in distribution network. conclusion: The RPO model and IQPSO algorithm proposed in this paper provides a high-performance method to analyze and optimize reactive power management in distribution network.
背景:在大规模可再生分布式发电(RDG)接入的背景下,无功优化(RPO)对配电网至关重要。背景:在大规模可再生分布式发电接入的背景下,无功优化(RPO)对配电网至关重要。目的:针对RDG连接问题,提出了RPO模型和改进的量子粒子群优化算法。方法:本文以动态s型函数作为有功损耗最小的目标函数,以指数函数作为电压偏差最小的目标函数,建立RPO目标函数。将配送成本作为第三个目标函数。为了解决RPO问题,本文提出了一种基于ε-贪心策略的QPSO算法。采用改进的ieeee33总线和IEEE69总线系统对所提出的RPO方法进行了仿真验证。仿真结果表明:IQPSO算法得到了较好的解决方案,所提出的RPO模型能够显著降低有功功率损耗、节点电压偏差和配电网运行成本。结论:本文提出的RPO模型和IQPSO算法为配电网无功管理分析和优化提供了一种高性能的方法。结论:本文提出的RPO模型和IQPSO算法为配电网无功管理分析和优化提供了一种高性能的方法。
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引用次数: 0
Secure And Efficient Multi-keyword Fuzzy Search Over Encrypted Data On Alliance Chain 联盟链上加密数据的安全高效多关键字模糊搜索
Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-10-02 DOI: 10.2174/0123520965251866230926050714
Jimeng Song, Ziqi Shen, Han Yu, Rongxin Lai, Yuancheng Li, Qingle Wang, Jianbin Li
Background:: Data regulation can effectively resist data privacy leakage and abuse in the process of external sharing of energy big data, but how to securely retrieve vast amounts of regulatory data is a challenge. Objective:: To securely retrieve vast amounts of regulatory data, a secure and efficient searchable encryption scheme that supports multi-keyword fuzzy retrieval on the alliance chain is proposed. Method:: This scheme encrypts and stores the regulatory data on the hyperledger fabric alliance chain. Energy big data files (EBDF) are encrypted and stored on a cloud server. Using the symmetric searchable encryption technology to achieve secure retrieval of regulatory data on the chain and secure access to EBDF. To improve search efficiency, we propose a SDPHashMap index structure and use the special manhatton distance matrix(SMDM) measurement to calculate the similarity of queried keywords and index keywords to locate the trapdoor retrieval hash address. Utilizing the cuckoo filter cluster to test the membership of queried keywords. Results:: This scheme stores EBDF off-chain, effectively relieving the storage and communication pressure of the blockchain, improving search speed, and providing more accurate retrieval services than single keyword fuzzy retrieval. By the simulation-based adversary- challenger game model, the security analysis demonstrates that the proposed scheme has adaptive selected keyword attack semantic security. Conclusion:: Experimental results show that the proposed scheme has high efficiency in trapdoor generation and multi-keyword search stages. other: no
背景:在能源大数据对外共享过程中,数据监管可以有效抵御数据隐私泄露和滥用,但如何安全地检索海量监管数据是一个挑战。目的:为了安全检索海量监管数据,提出了一种支持联盟链多关键字模糊检索的安全高效可搜索加密方案。方法:本方案将监管数据加密存储在超级账本fabric联盟链上。能源大数据文件(EBDF)被加密并存储在云服务器上。采用对称可搜索加密技术,实现对链上监管数据的安全检索和对EBDF的安全访问。为了提高搜索效率,我们提出了一种SDPHashMap索引结构,并使用特殊曼哈顿距离矩阵(SMDM)度量来计算查询关键字与索引关键字的相似度,以定位活板门检索哈希地址。利用布谷鸟滤波聚类测试查询关键字的隶属度。结果:该方案将EBDF存储在链下,有效缓解了区块链的存储和通信压力,提高了搜索速度,提供了比单一关键字模糊检索更准确的检索服务。通过基于仿真的对手-挑战者博弈模型,安全性分析表明该方案具有自适应选择关键字攻击的语义安全性。结论:实验结果表明,该算法在陷阱门生成和多关键字搜索阶段具有较高的效率。其他:不
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引用次数: 0
New Proxy Signature Scheme over Elliptic Curves using Chaotic Maps Applicable during Pandemic COVID-19 适用于COVID-19大流行期间的混沌映射椭圆曲线代理签名新方案
Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-09-15 DOI: 10.2174/2352096516666230915113801
Namita Tiwari, Mayur Rahul, Ayushi Prakash, Sonu Kumar Jha, Vikash Yadav
Abstract: Digitalization has attracted the world to collect increasing data. Background: Proxy signature is a digital alternative for signing documents in the absence of the original signer. Methods: In this paper, we have used the mathematical methods and concepts of Chaotic maps (CMs) and elliptic curve cryptography. Results: We have proposed a new proxy signature scheme (PSS). Security of our PSS relies on "elliptic curve discrete logarithm (ECDL) and integer factorization (FAC) problems". It requires only low-complexity computation, which increases efficiency. Conclusion: It is the first PSS in such a security setting and can also be assumed to be secure in the post-quantum cryptographic world. It can be highly used digitally during thePandemic conditions like COVID-19.
摘要:数字化吸引了全世界越来越多的数据。背景:代理签名是在原始签名者缺席的情况下签署文件的数字替代方案。方法:本文采用混沌映射和椭圆曲线密码的数学方法和概念。结果:提出了一种新的代理签名方案(PSS)。我们PSS的安全性依赖于“椭圆曲线离散对数(ECDL)和整数分解(FAC)问题”。它只需要低复杂度的计算,从而提高了效率。结论:这是第一个在这种安全设置下的PSS,也可以认为在后量子加密世界中是安全的。在COVID-19等大流行情况下,它可以高度数字化地使用。
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引用次数: 0
GaN HEMT for High-performance Applications: A Revolutionary Technology 用于高性能应用的GaN HEMT:一项革命性的技术
Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-09-14 DOI: 10.2174/2352096516666230914103828
Geeta Pattnaik, Meryleen Mohapatra
Background: The upsurge in the field of radio frequency power electronics has led to the involvement of wide bandgap semiconductor materials because of their potential characteristics in achieving high breakdown voltage, output power density, and frequency. III-V group materials of the periodic table have proven to be the best candidates for achieving this goal. Among all the available combinations of group III-V semiconductor materials, gallium nitride (GaN), having a band gap of 3.4eV, has gradually started gaining the confidence to become the next-generation material to fulfill these requirements. Objective: Considering the various advantages provided by GaN, it is widely used in AlGaN/GaN HEMTs (High Electron Mobility Transistors) as their fundamental materials. This work aimed to review the structure, operation, and polarization mechanisms influencing the HEMT device, different types of GaN HEMT, and the various process technologies for developing the device. Methods: Various available methods to obtain an enhancement type GaN HEMT are discussed in the study. It also covers the recent developments and various techniques to improve the performance and device linearity of GaN HEMT. Conclusion: Despite the advantages and continuous improvement exhibited by the GaN HEMT technology, it faces several reliability issues, leading to degradation of device performance. In this study, we review various reliability issues and ways to mitigate them. Moreover, several application domains are also discussed, where GaN HEMTs have proven their capability. It also focuses on reviewing and compiling the various aspects related to the GaN HEMT, thus providing all necessary information.
背景:射频电力电子领域的兴起导致了宽带隙半导体材料的参与,因为它们具有实现高击穿电压、输出功率密度和频率的潜在特性。元素周期表中的III-V族材料已被证明是实现这一目标的最佳候选者。在所有可用的III-V族半导体材料组合中,氮化镓(GaN)的带隙为3.4eV,已逐渐开始获得信心,成为满足这些要求的下一代材料。目的:考虑到氮化镓所具有的诸多优点,氮化镓作为高电子迁移率晶体管(AlGaN/GaN hemt)的基础材料得到了广泛的应用。本文旨在综述影响HEMT器件的结构、操作和极化机制、不同类型的GaN HEMT以及开发该器件的各种工艺技术。方法:讨论了获得增强型GaN HEMT的各种可用方法。它还涵盖了最近的发展和各种技术,以提高GaN HEMT的性能和器件线性度。结论:尽管GaN HEMT技术具有优势并不断改进,但它面临着一些可靠性问题,导致器件性能下降。在本研究中,我们回顾了各种可靠性问题以及缓解这些问题的方法。此外,还讨论了几个应用领域,其中GaN hemt已经证明了它们的能力。它还侧重于审查和汇编与GaN HEMT相关的各个方面,从而提供所有必要的信息。
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引用次数: 0
Analysis of the effect of meteorological elements on new energy power prediction based on machine learning 基于机器学习的气象要素对新能源功率预测的影响分析
Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-09-07 DOI: 10.2174/2352096516666230907145027
Haibo Shen, Liyuan Deng, Lingzi Wang, Xianzhuo Liu
Background: With the gradual construction of new power systems, new energy sources, such as wind and photovoltaic power, will gradually dominate positions in the power supply structure, directly leading the new power system to rely heavily on accurate meteorological forecasts. High-precision and high-resolution meteorological forecasts are important technical methods to improve the safe, stable, and economic operation of the new power system. Objective: Since the analysis of meteorological elements is the basis of meteorological forecasting, in this paper, the effect of different meteorological elements including temperature, relative humidity, air pressure, wind speed, wind direction, and radiation on the performance of power forecasting, was analyzed by using 7 machine learning algorithms in 5 provinces in southern China. Method: About 5 provinces in southern China were selected as the research objects, and 7 typical machine learning algorithms were applied and compared, including support vector machine (SVM), decision tree (DT), random forest (RFR), K-nearest neighbor (KNN), Linear Regression (LR), Ridge Regression (RR), and Lasso Regression (Lasso R). At the same time, the influence of different meteorological elements, such as temperature, relative humidity, air pressure, wind speed, wind direction, and radiation amount, on the prediction performance of wind power and photovoltaic power was considered. Then, the performance of different regression models was further investigated and analyzed. Results: Based on the data of 10 new energy stations in 5 regions, the research on the prediction performance of 7 machine learning methods shows that the performance of models in different regions varies greatly. Among the 10 selected new energy stations, the RFR model and KNR model have superior overall performance. Conclusion: This study shows how variable importance and prediction accuracy depend on regression methods and climatic variables, providing effective methods to assess the interdependence of meteorological variables and the importance of meteorological variables in predicting output power.
背景:随着新型电力系统的逐步建设,风电、光伏等新能源将逐步在供电结构中占据主导地位,直接导致新型电力系统对精准气象预报的依赖程度严重。高精度、高分辨率气象预报是提高新型电力系统安全、稳定、经济运行的重要技术手段。目的:由于气象要素分析是气象预报的基础,本文以中国南方5个省份为研究对象,利用7种机器学习算法,分析温度、相对湿度、气压、风速、风向、辐射等不同气象要素对电力预报效果的影响。方法:选取中国南方约5个省份为研究对象,采用支持向量机(SVM)、决策树(DT)、随机森林(RFR)、k近邻(KNN)、线性回归(LR)、脊回归(RR)、Lasso回归(Lasso R)等7种典型的机器学习算法,并进行了比较。同时,研究了温度、相对湿度、气压、风速、风向等不同气象要素的影响。同时考虑了辐射量对风电和光伏发电预测性能的影响。然后,对不同回归模型的性能进行了进一步的研究和分析。结果:基于5个地区10个新能源站的数据,对7种机器学习方法的预测性能研究表明,不同地区模型的预测性能差异较大。在选取的10个新能源站中,RFR模型和KNR模型综合性能较优。结论:本研究揭示了变量重要性和预测精度对回归方法和气候变量的依赖关系,为评估气象变量的相互依赖关系和气象变量在预测输出功率中的重要性提供了有效的方法。
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引用次数: 0
Cloud Computing based Influenza Virus Prevention and Control for Bio-Medical Applications 基于云计算的流感病毒防控在生物医学领域的应用
IF 0.6 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-09-01 DOI: 10.2174/2352096516666230901122406
Hardeep Kaur, S. Sengar, M. Ikbal
To improve the flexibility and efficiency of measurement of influenza virus prevention and control, and realize the combination of modern Internet technology and medical technology, in this article, the cases of influenza virus outbreaks in the past five years will be retrieved from various websites.A total of 5087 articles including clinical case analysis literature, individual infection case reports, review literature, Chinese and English literature, outbreak cases, and duplicate literature of non-human infection cases should be excludedNatural Development of Influenza Virus Infection in IndividualsThe results show that in the influenza virus epidemic database, the longest course of influenza virus infection is 10 days, the shortest is 2 days, the average course is 5.6 (5.6 ± 1.7) days, and the proportion of cases with the course of 5 days is the largest, and the proportion of cases with the course of 8 days is the smallest.In the international common mathematical modelling research, it is found that the latency of influenza viruses is 1-7 days, most of them are 2-4 days, the average latency is 1.9 days, and the course of the disease is 3-6 days. In this study, through the medical information sensor system based on cloud computing, the SEIAR model of the influenza virus outbreak database is built, and the average latency of all outbreaks is calculated. The average latency of the influenza virus is 2.0 days, which is very close to the international research data, and the difference between the two is only 0.1 days. Compared with non-interventional outbreaks, influenza virus control measures push the peak period from 145 days (no intervention) to 169 days (i.e. 24 days later). The infection rate of the influenza virus decreases from 74.75% untreated to 26.41%, that is to say, 48.34
为提高流感病毒防控测量的灵活性和效率,实现现代互联网技术与医疗技术的结合,本文将从各网站检索近五年流感病毒爆发的病例。应排除临床病例分析文献、个体感染病例报告、综述文献、中英文文献、暴发病例、非人感染病例重复文献等共5087篇。个体流感病毒感染的自然发展。结果表明,在流感病毒流行数据库中,流感病毒感染病程最长为10天,最短为2天,平均病程为5.6(5.6±1.7)天;病程为5天的病例所占比例最大,病程为8天的病例所占比例最小。在国际通用的数学建模研究中发现,流感病毒潜伏期为1-7天,大部分为2-4天,平均潜伏期为1.9天,病程为3-6天。本研究通过基于云计算的医疗信息传感器系统,建立流感病毒爆发数据库SEIAR模型,计算出所有爆发的平均延迟时间。流感病毒的平均潜伏期为2.0天,与国际研究数据非常接近,两者相差仅0.1天。与无干预爆发相比,流感病毒控制措施将高峰期从145天(无干预)推至169天(即24天后)。流感病毒感染率由未经治疗的74.75%下降到26.41%,即48.34%
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引用次数: 0
A Review on Various Voltage Boosting Topology in DC-DC Converter DC-DC变换器中各种升压拓扑的研究进展
IF 0.6 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-09-01 DOI: 10.2174/2352096516666230901140600
Mayank Singh, Mukh Raj Yadav, DHEERAJ KUMAR DHAKED
Step-up DC-DC converters are employed to raise the output voltage level from the input voltage level. Although the basic boost dc-dc converter has advantages like simplicity of implementation, it also has drawbacks like low boost ability and low power density. The literature has reported various topologies which have switched inductor/voltage lift, switched capacitor, voltage multiplier, magnetic coupling, and multistage types. Each converter topology possesses its own advantages and disadvantages with a focus on power density, cost, efficiency, reliability, and complexity depending upon the applications. Demands of such applications are being fulfilled by using new power conversion topologies. Various combinations of such boosting topologies with additional components are complex. This paper provides a simple glance to the basic law and context for the development of future DC/DC converters. This paper has surveyed and classified various topologies according to the voltage-boosting topology and characteristics. The banes and boons of these topologies are also discussed in the paper with the applications of each boosting topology.
升压DC-DC变换器用于从输入电压电平提高输出电压电平。基本升压dc-dc变换器虽然具有实现简单等优点,但也存在升压能力低、功率密度低等缺点。文献报道了各种拓扑结构,包括开关电感/电压提升、开关电容器、电压倍增器、磁耦合和多级类型。每种转换器拓扑结构都有自己的优点和缺点,重点是功率密度、成本、效率、可靠性和复杂性,具体取决于应用。这种应用的需求正在通过使用新的电源转换拓扑来满足。这种增强拓扑与附加组件的各种组合是复杂的。本文简要介绍了未来DC/DC变换器发展的基本规律和背景。本文根据升压电路的拓扑结构和特性对各种拓扑结构进行了综述和分类。本文还讨论了这些拓扑的优缺点,以及每种升压拓扑的应用。
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Recent Advances in Electrical & Electronic Engineering
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