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Evaluation of XGBoost vs. other Machine Learning models for wind parameters identification XGBoost与其他机器学习模型在风参数识别中的比较
Q4 Energy Pub Date : 2023-07-01 DOI: 10.24084/repqj21.334
B. García-Puente, A. Rodríguez-Hurtado, M. Santos, J. Sierra-García
Wind energy is one of the most promising renewable energies. But wind is a quite unstable resource due to its continuous variation and random nature. This uncertainty affects the production cost. Therefore, accurate forecasting of wind and energy is very interesting for energy markets. In this work, we test a recent and powerful intelligent technique, extreme gradient boosting (XGBoost), for wind prediction. The forecasting models of some wind features with XGBoost are compared with Support Vector Regression (SVR), Gaussian Process Regression (GPR) and Neural Networks (NN) models. Specifically, the three features predicted are the active power generated by the turbine, the wind speed, and the wind direction. The results conclude that these techniques are useful for wind and energy forecasting, with XGBoost being the most outstanding one, especially for short-term predictions.
风能是最有前途的可再生能源之一。但由于风的连续变化和随机性,它是一种非常不稳定的资源。这种不确定性影响了生产成本。因此,对风能和能源的准确预测对能源市场来说是非常有趣的。在这项工作中,我们测试了一种最新的强大智能技术,极端梯度增强(XGBoost),用于风的预测。将XGBoost模型与支持向量回归(SVR)、高斯过程回归(GPR)和神经网络(NN)模型进行了比较。具体来说,预测的三个特征是涡轮机产生的有功功率、风速和风向。结果表明,这些技术对风能和能源预测是有用的,其中XGBoost是最突出的,特别是对于短期预测。
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引用次数: 0
Performance Evaluation of Grid Connected T-Type Multilevel Inverters 并网t型多电平逆变器性能评价
Q4 Energy Pub Date : 2023-07-01 DOI: 10.24084/repqj21.404
Kévin Acadine, Augustin Mpanda Mabwe, A. El Hajjaji
This paper deals with performance of three and five level grid-connected T-type inverters. T-Type structure requires fewer power devices than Neutral-Point-Clamped and FlyingCapacitor inverters for the same power level. First, mathematical model of grid connected T-Type inverters is demonstrated. The PI controller is used to control the d-axis and q-axis currents, respectively. The sine Pulse Width Modulation (PWM) technique is used to control the MOSFET switches. The simulation of the complete system has been performed on MATLAB/Simulink.
本文研究了三电平和五电平并网t型逆变器的性能。对于相同的功率水平,t型结构比中性点箝位和飞电容逆变器需要更少的功率器件。首先,建立了并网型t型逆变器的数学模型。PI控制器分别用于控制d轴和q轴电流。采用正弦脉宽调制(PWM)技术控制MOSFET开关。在MATLAB/Simulink上对整个系统进行了仿真。
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引用次数: 1
Sizing of on-grid photovoltaic systems for water pumping in irrigation communities 灌溉社区抽水并网光伏系统的规模
Q4 Energy Pub Date : 2023-07-01 DOI: 10.24084/repqj21.228
Á. Bayod-Rújula, R. Dufo-López, Amaya Martínez Gracia
This paper describes a technical-economical analysis to achieve the most appropriate sizing of grid-connected photovoltaic systems for water pumping in irrigation communities. The profitability of different tracking systems are analysed based on the price of the electrical energy consumed from the network. The case study of a real pumping system of an irrigation community located in Zaragoza (Spain) is presented, which supplies a geographical area of 2000 Ha, with six 630kW pumps and eight 110kW units.
本文通过技术经济分析,确定了灌溉小区光伏并网抽水系统的最适宜规模。根据电网所消耗电能的价格,分析了不同跟踪系统的盈利能力。本文介绍了位于西班牙萨拉戈萨的一个灌溉社区的实际抽水系统的案例研究,该系统为2000公顷的地理区域提供了6台630千瓦的水泵和8台110千瓦的机组。
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引用次数: 0
Forecasting of wind turbine synthetic signals based on convolutional 基于卷积的风力机综合信号预测
Q4 Energy Pub Date : 2023-07-01 DOI: 10.24084/repqj21.365
C. Blanco, J. Sierra-García, M. Santos
The importance and future prospects of offshore wind power generation invite great efforts and investments to make it an efficient technology. A crucial aspect is the development of efficient control strategies, which in many cases require models to identify the state of the turbine at a given time accurately. These models must be simple enough not to increase the computational complexity of the control algorithm while being able to capture the nonlinearity and coupling of wind systems. In this work we study the possibility of using neural networks to identify a wind turbine model to predict its power output. Two models, with different number of inputs, have been proposed. LSTM (Long-Short Term Memory) and RNN (Recurrent Neural Network) have been compared, with satisfactory results in terms of model accuracy on an offshore 5MW WT.
海上风力发电的重要性和未来前景需要巨大的努力和投资,使其成为一种高效的技术。一个关键的方面是开发有效的控制策略,在许多情况下,这需要模型在给定时间准确地识别涡轮机的状态。这些模型必须足够简单,不增加控制算法的计算复杂性,同时能够捕捉风系统的非线性和耦合。在这项工作中,我们研究了使用神经网络来识别风力涡轮机模型以预测其功率输出的可能性。提出了两种不同输入数的模型。对LSTM(长短期记忆)和RNN(循环神经网络)进行了比较,在海上5MW WT的模型精度方面取得了令人满意的结果。
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引用次数: 0
Sky Image Analysis and Solar Power Forecasting: A Convolutional Neural Network Approach 天空图像分析与太阳能预测:卷积神经网络方法
Q4 Energy Pub Date : 2023-07-01 DOI: 10.24084/repqj21.355
A. Jakoplić, S. Vlahinić, B. Dobraš, D. Franković
Recently, the share of renewable sources in the energy mix of production units has been steadily increasing. The unpredictability of renewable sources leads to difficulties in planning, managing and controlling the electric energy system (EES). One of the ways to reduce the negative impact of unpredictable renewable sources is to predict the availability of these energy sources. Short-term forecasting of photovoltaic power plant production is one of the tools that enable greater integration of renewable energy sources into the EES. One way to gather information for the short-term forecast production model is to continuously photograph the hemisphere above the photovoltaic power plant. By processing the data contained within the images, parameters related to the current output power of the observed power plant are obtained. This paper presents a model that utilises a convolutional neural network to analyse images of the hemispherical sky above a power plant to predict the current output power of the power plant. Estimating current production is a crucial step in developing models for short-term solar forecasts. The model was specifically developed for photovoltaic power plants and is capable of achieving high accuracy in power prediction. The estimation of power production from photovoltaic power plants enables the use of next-frame prediction for short-term forecasting.
最近,可再生能源在生产单位能源结构中的份额稳步增加。可再生能源的不可预测性导致了规划、管理和控制电力能源系统(EES)的困难。减少不可预测的可再生能源的负面影响的方法之一是预测这些能源的可用性。对光伏发电厂产量的短期预测是将可再生能源更大程度地纳入EES的工具之一。为短期预测生产模型收集信息的一种方法是连续拍摄光伏电站上方的半球。通过对图像中包含的数据进行处理,得到与观测电厂当前输出功率相关的参数。本文提出了一种利用卷积神经网络分析电厂上空半球形天空图像来预测电厂当前输出功率的模型。估算目前的产量是开发短期太阳预报模型的关键一步。该模型是专门针对光伏电站开发的,能够实现较高的功率预测精度。通过对光伏电站发电量的估计,可以使用下一帧预测进行短期预测。
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引用次数: 0
Preliminary Identification of the Dynamics of a Floating Offshore Wind Turbine Barge 海上浮式风力发电驳船的动力学初步辨识
Q4 Energy Pub Date : 2023-07-01 DOI: 10.24084/repqj21.387
I. Galeote, S. Esteban, M. Santos
Offshore wind turbines have become an increasingly attractive source of renewable energy because of their potential to access and utilize energy from deeper waters with more stable, stronger winds. The goal of this paper is to propose a mathematical model based on transfer functions to identify and study the behavior of the six degrees of freedom of floating turbines. For this purpose, the system has been simulated with OpenFAST for specific environmental conditions. A subset of data has been used to identify transfer functions to obtain a control-oriented model. The model has been progressively validated, extending the preliminary proposed model. The scope and limitations of this methodology have been assessed, as well as the possibilities of extending the present work to include a more functional methodology oriented to system co-design.
海上风力涡轮机已经成为越来越有吸引力的可再生能源,因为它们有潜力从更稳定、更强的风中获取和利用更深的水域的能源。本文的目标是提出一个基于传递函数的数学模型来识别和研究浮动水轮机的六个自由度的行为。为此,使用OpenFAST对系统进行了特定环境条件下的仿真。数据子集已被用来识别传递函数,以获得一个面向控制的模型。该模型已逐步得到验证,扩展了初步提出的模型。已经评估了这种方法的范围和局限性,以及扩大目前工作的可能性,以包括面向系统共同设计的更实用的方法。
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引用次数: 0
Performance of Resonant Chambers in Oscillating Water Column Devices 振荡水柱装置中谐振腔的性能
Q4 Energy Pub Date : 2023-07-01 DOI: 10.24084/repqj21.446
Juan D. Parra-Quintero, A. Rubio-Clemente, E. Chica
The utilization of marine power potential in Colombia holds a great promise, and the oscillating water column (OWC) is one option that deserves to be explored. The wave energy conversion process using an OWC typically involves two stages: the conversion of wave power to pneumatic power in an air chamber, and the conversion of pneumatic power to electricity using a selfrectifying air turbine coupled to an electric generator. In order to improve the efficiency of the primary stage, this study is aiming at determining the hydrodynamic performance of an OWC air chamber using a numerical model based on the Reynolds Averaged Navier-Stokes equations and the Volume of Fluid approach for free surface simulation. The chamber geometry was based on a U-shaped OWC. The maximum efficiency and the mean velocity of the chamber free surface were found to be 66.8% and 0.17 m/s, respectively. The numerical results for the wave height obtained through simulation were validated by comparing them to analytical expressions reported in the existing literature, and a significant level of agreement was observed. Optimizing the chamber shape parameters for the specific wave characteristics is concluded to be crucial to enhance the operating efficiency of the OWC.
哥伦比亚利用海洋电力潜力前景广阔,振荡水柱(OWC)是一个值得探索的选择。波浪能转换过程通常包括两个阶段:波浪能在空气室中转换为气动能,以及使用与发电机耦合的自整流空气涡轮机将气动能转换为电能。为了提高初级阶段的效率,本研究旨在利用基于Reynolds平均Navier-Stokes方程的数值模型和流体体积法进行自由表面模拟,以确定OWC气室的水动力性能。燃烧室的几何形状是基于u形的OWC。实验结果表明,最大效率为66.8%,腔室自由面平均速度为0.17 m/s。将模拟得到的波高数值计算结果与已有文献的解析表达式进行比较,验证了数值计算结果的正确性。根据不同的波浪特性,优化不同的腔室形状参数是提高OWC运行效率的关键。
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引用次数: 0
A Graphical method for PQ assessment: EDA tools using traditional indices and Higher-order Statistics PQ评估的图形化方法:使用传统指数和高阶统计量的EDA工具
Q4 Energy Pub Date : 2023-07-01 DOI: 10.24084/repqj21.390
P. Remigio-Carmona, O. Florencias-Oliveros, J. González-de-la-Rosa
This paper presents a new qualitative method for assessing the power quality (PQ) of electrical systems using both time domain traditional indices and higher-order statistics. The method employs engineering data analysis (EDA) tools to analyse and interpret the PQ data coming from real datasets. Boxplot of each index are considered an essential tool that deserves to be included and studied when an external dataset it is analysed. But this research intends to go a step further, and for this reason a new tool for the spatial visualization of supply quality based on a radar chart is proposed. Each of its vertices constitutes an index, integrating from 3rd to 6 th order statistics with the traditional indicators SNR, SINAD and crest factor. The proposed methodology is applied to the analysis of real available signals and both, boxplot and radarchart, results are compared and commented. Finally, relationships are established between the altered indicators and the type(s) of event found in the signal.
提出了一种利用时域传统指标和高阶统计量对电力系统电能质量进行定性评价的新方法。该方法采用工程数据分析(EDA)工具对来自实际数据集的PQ数据进行分析和解释。在分析外部数据集时,每个索引的箱线图被认为是一个重要的工具,值得包括和研究。但本研究打算更进一步,为此提出了一种基于雷达图的供应质量空间可视化新工具。它的每个顶点构成一个指标,将三阶到六阶统计量与传统指标信噪比、SINAD和波峰因子进行综合。将所提出的方法应用于实际可用信号的分析,并对箱线图和雷达图的结果进行了比较和评论。最后,建立改变的指标与信号中发现的事件类型之间的关系。
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引用次数: 0
Control a Photovoltaic/Wind Turbine/Diesel generator with storage battery 控制带有蓄电池的光伏/风力涡轮机/柴油发电机
Q4 Energy Pub Date : 2023-07-01 DOI: 10.24084/repqj21.342
Djamila Rekioua, K. Kakouche, T. Rekioua, Z. Mokrani
Wind/Photovoltaic energy systems are among the most used configurations in multi-sources energy systems because their reliability, robustness and power sources complementarily. For heavy loads, it is more convenient to add backup systems (diesel generator) for an enhanced power availability. In order to protect power sources and increase their lifespan, several power management strategies are such as fuzzy logic control, artificial neural networks and metaheuristic algorithms are proposed and used in literature. This paper presents a power supervisory control (PMC) based on fuzzy logic control dedicated for photovoltaic/wind turbine/ diesel generator/battery systems. The application of the aforementioned technique makes it possible to predict how the hybrid system various operating processes would change in response to solar irradiation and wind speed variations. The study was implemented under Matlab/Simulink. To obtain more realistic results, measured weather values have been incorporated in the simulation. The application is made in a coastal town which has a good potential values of solar irradiance and wind speeds. The obtained results show that the load have been supplied while the batteries were protected due to the PMC.
风能/光伏能源系统是多源能源系统中最常用的配置之一,因为它们具有可靠性、稳健性和电源互补性。对于重负荷,增加备用系统(柴油发电机)以提高电力可用性更为方便。为了保护电源并延长其使用寿命,文献中提出并应用了模糊逻辑控制、人工神经网络和元启发式算法等电源管理策略。提出了一种基于模糊逻辑控制的光伏/风力发电/柴油发电/蓄电池系统的电力监控系统。上述技术的应用使得预测混合系统的各种操作过程如何响应太阳辐射和风速变化成为可能。本研究在Matlab/Simulink环境下实现。为了获得更真实的结果,在模拟中加入了实测的天气值。应用于具有较好太阳辐照度和风速潜在值的沿海城镇。结果表明,由于PMC的存在,在保护蓄电池的同时,也提供了负载。
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引用次数: 0
Analytical Design Methodology for Wind Power Permanent Magnet Synchronous Generators 风力发电永磁同步发电机的分析设计方法
Q4 Energy Pub Date : 2023-07-01 DOI: 10.24084/repqj21.418
V. Ballestín-Bernad, J. S. Artal-Sevil, J. A. Domínguez-Navarro
In this paper a novel analytical design methodology for wind power permanent magnet synchronous generators is presented. This kind of electric generator plays a major role in small-scale wind energy conversion systems up to 10 kW. The proposed diameter-cubed sizing equation is based both on the generator requirements, imposed by the application, and the design parameters that rely on the designer criteria. The magnetic field waveforms of both the permanent magnets field and the armature field are considered from the first moment through the winding factors, as well as the slots effects given by the Carter factor. The analytical model of the permanent magnet synchronous generator is validated with the finite element method, showing good agreement, both with no load and under load. As the generator is unsaturated, the main source of divergence between the analytical and the finite element model are the iron losses, due to the nonuniform magnetic field distribution.
本文提出了一种新的风电永磁同步发电机的分析设计方法。这种发电机在10千瓦以下的小型风能转换系统中起着重要作用。所建议的直径-立方尺寸方程基于应用程序施加的发电机要求和依赖于设计师标准的设计参数。从一阶矩开始考虑永磁体场和电枢场的磁场波形,通过绕组因素,以及卡特因素给出的槽效应。用有限元法对永磁同步发电机的解析模型进行了验证,无论在空载还是有载情况下,解析模型都具有较好的一致性。由于发电机是不饱和的,由于磁场分布不均匀,导致分析模型与有限元模型之间的分歧主要来自铁的损耗。
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引用次数: 1
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Renewable Energy and Power Quality Journal
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