Wind Engineering最新文献

Optimizing efficiency and analyzing performance: Enhanced airfoil cross-sections for horizontal axis small wind turbines 优化效率，分析性能：水平轴小型风力涡轮机的强化翼面截面

IF 1.5

Wind Engineering Pub Date : 2024-07-27 DOI: 10.1177/0309524x241259946

M. M. Akheel, B. Sankar, K. Boopathi, D. Reddy Prasad, N. Prabhu Shankar, N. Rajkumar

引用次数: 0

Effective energy management strategy with a novel design of fuzzy logic and JAYA-based controllers in isolated DC/AC microgrids: A comparative analysis 在隔离式直流/交流微电网中采用基于模糊逻辑和 JAYA 控制器的新型设计的有效能源管理策略：比较分析

IF 1.5

Wind Engineering Pub Date : 2024-07-27 DOI: 10.1177/0309524x241263518

Omar Makram Kamel, I. Elzein, Mohamed Metwally Mahmoud, A. Abdelaziz, Mahmoud M. Hussein, A. Z. Zaki Diab

{"title":"Effective energy management strategy with a novel design of fuzzy logic and JAYA-based controllers in isolated DC/AC microgrids: A comparative analysis","authors":"Omar Makram Kamel, I. Elzein, Mohamed Metwally Mahmoud, A. Abdelaziz, Mahmoud M. Hussein, A. Z. Zaki Diab","doi":"10.1177/0309524x241263518","DOIUrl":"https://doi.org/10.1177/0309524x241263518","url":null,"abstract":"The current widespread support of decarbonization and green energy has led to a notable increase in the incorporation of clean energy sources (CESs) in microgrids (MGs). CESs are intermittent, and if they become more widely used in MG, managing uncertainty will become more difficult. This is true even with the environmental and financial advantages of CESs. In this paper, the operation of a DC/AC MG, which integrates solar photovoltaics (PVs), wind farms, fuel cells (FCs), and battery chargers (BCs), is investigated and analyzed under uncertain conditions. The MG’s main energy source is thought to be the PV, while the FC and BC assist in maintaining the MG’s stability. A variable AC load and an electric vehicle charging system are fed by the MG. Two control system approaches have been designed and evaluated. The first is a new design of fuzzy logic controller (FLC), which is provided and applied to provide an adequate energy management system (EMS) for the investigated MG considering uncertainties of CESs. Moreover, JAYA-based optimal control has been developed. The proposed EMS is utilized to adapt the fuel consumption for the FC and the charging concept of Li-ions and to provide a constant load bus voltage. In order to demonstrate the effectiveness of the suggested technique, the proposed novel design of FLC and JAYA-based controllers’ performance is tested under partial shadowing of the PV with abrupt load fluctuations of 25% and contrasted with the PI controller methodology, where it is designed using the Ziglar Nicolas technique. The obtained findings show how the suggested control technique improves the system and the MG’s dynamic performance. A MATLABSimulink simulation is carried out, and the outcomes demonstrate the effectiveness and superiority of the suggested strategy in managing uncertainty.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141798465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PSO-optimized sensor-less sliding mode control for variable speed wind turbine chains based on DPIG with neural-MRAS observer 基于 DPIG 与神经-MRAS 观察器的变速风力涡轮机链 PSO 优化无传感器滑模控制

IF 1.5

Wind Engineering Pub Date : 2024-07-27 DOI: 10.1177/0309524x241263591

L. Saihi, F. Ferroudji, K. Roummani, K. Koussa, L. Djilali

{"title":"PSO-optimized sensor-less sliding mode control for variable speed wind turbine chains based on DPIG with neural-MRAS observer","authors":"L. Saihi, F. Ferroudji, K. Roummani, K. Koussa, L. Djilali","doi":"10.1177/0309524x241263591","DOIUrl":"https://doi.org/10.1177/0309524x241263591","url":null,"abstract":"This research introduces a resilient Sensor-Less 1st Sliding Mode (SL-FOSM) approach employing a novel observer, the Artificial Neural Network with Model Reference Adaptive System-Adaptive (Neural-MRAS), for wind turbine chains. The proposed model is implemented on a Doubly Powered Induction Generator (DPIG) operating under genuine variable speed conditions in the Adrar region in Algeria. The control objective is to independently regulate the active and reactive power of the DPIG stator, achieved through decoupling using the field-oriented control technique and control application via FOSM-C. Notably, this methodology reduces both the control scheme cost and the DPIG size by eliminating the need for a speed sensor (encoder). To enhance the MRAS-PI, an Artificial Neural Network (ANN) is suggested to replace the typical classical Proportional-Integral (PI) controller in the adaptation mechanism of MRAS. The rotor position estimation is scrutinized and discussed across various load conditions in low, zero, and high-speed regions. Optimal controller parameters are determined through particle swarm optimization (PSO). The results demonstrate that the proposed observer (Neural-MRAS) exhibits compelling attributes, including guaranteed finite time convergence, robust performance in response to speed variations, high resilience against machine parameter fluctuations, and adaptability to load variations when compared to the MRAS-PI. Consequently, the estimated rotor speed converges to its actual value, showcasing the capability to accurately estimate position across different speed regions (low/zero/high).","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141798915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Numerical investigation of the structural-response analysis of a glass/epoxy composite blade for small-scale vertical-axis wind turbine 小型垂直轴风力涡轮机玻璃/环氧树脂复合材料叶片结构响应分析的数值研究

IF 1.5

Wind Engineering Pub Date : 2024-07-27 DOI: 10.1177/0309524x241259945

H. Nezzar, F. Ferroudji, T. Outtas

引用次数: 0

Wind power development: A historical review 风能发展：历史回顾

IF 1.5

Wind Engineering Pub Date : 2024-07-23 DOI: 10.1177/0309524x241260061

E. Möllerström, P. Gipe, F. Ottermo

引用次数: 0

Effects of the influence of triangular dimple and aspect ratio on NACA 4412 airfoil on the overall performance of H-Darrieus wind rotor: An experimental investigation NACA 4412 翼面上的三角窝和长宽比对 H-Darrieus 风力转子整体性能的影响：实验研究

IF 1.5

Wind Engineering Pub Date : 2024-07-23 DOI: 10.1177/0309524x241256955

Avulamanda Siva Nagaraju, Rajat Gupta, S. Bhowmik

引用次数: 0

Application of DPC to improve the integration of DFIG into wind energy conversion systems using FOPI controller 应用 DPC，使用 FOPI 控制器改进风能转换系统中的 DFIG 集成

IF 1.5

Wind Engineering Pub Date : 2024-07-23 DOI: 10.1177/0309524x241256956

M. Mosaad

{"title":"Application of DPC to improve the integration of DFIG into wind energy conversion systems using FOPI controller","authors":"M. Mosaad","doi":"10.1177/0309524x241256956","DOIUrl":"https://doi.org/10.1177/0309524x241256956","url":null,"abstract":"While the direct power control (DPC) approach has proven effective in improving the efficiency of wind energy conversion systems (WECS) using doubly fed induction generators (DFIG), its applicability is currently confined to a single usage and has not been extended to meet numerous applications. This work aimed to modify the implementation of DPC in WECS-DFIG for several objectives. This is accomplished by updating the reference power of the conventional DPC method into an adapted one to achieve two goals independently. The first objective is to track the maximum power during wind speed variations. This tracking is performed by updating the reference power to match the maximum available power at the current wind speed. The second purpose is to ensure that the WECS remains connected to the grid and continues to operate smoothly even in the event of faults; supporting fault-ride through (FRT) capability. That is achieved by reducing the reference power during these faults. The discrimination between these two objectives is based on the voltage level at the point of connecting WECS to the grid. The controller provided is an improved fractional order PI controller developed using arithmetic optimization technique (AOA). A comparison between the AOA and cuckoo search is presented. The results demonstrate the efficacy of the suggested configuration and regulator in enhancing the performance of integrating DFIG into the WECS in the presence of wind fluctuations and short circuit faults occurring. It is worth noting that AOA is better than cuckoo search in fine-tuning the settings of the FOPI controller.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141810344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance assessment of commercial wind turbines for low wind speed regions 低风速地区商用风力涡轮机性能评估

IF 1.5

Wind Engineering Pub Date : 2024-06-13 DOI: 10.1177/0309524x241250057

Z. Tahir, Ammara Kanwal, Muhammad Zeeshan Jamil, Imran Amin, Muhammad Abdullah, U. Saeed, Tariq Ali

引用次数: 0

Applications of hybrid SMC and FLC for augmentation of MPPT method in a wind-PV-battery configuration 混合 SMC 和 FLC 在风能-光伏-电池配置中增强 MPPT 方法的应用

IF 1.5

Wind Engineering Pub Date : 2024-06-12 DOI: 10.1177/0309524x241254364

F. Menzri, T. Boutabba, I. Benlaloui, Haneen Bawayan, Mohmed I. Mosaad, Mohamed Metwally Mahmoud

{"title":"Applications of hybrid SMC and FLC for augmentation of MPPT method in a wind-PV-battery configuration","authors":"F. Menzri, T. Boutabba, I. Benlaloui, Haneen Bawayan, Mohmed I. Mosaad, Mohamed Metwally Mahmoud","doi":"10.1177/0309524x241254364","DOIUrl":"https://doi.org/10.1177/0309524x241254364","url":null,"abstract":"Green energy sources (GESs) in electrical systems have become widely included in electrical networks for their significant subnational impacts on the economy and the environment. Regrettably, the power generating capacity of these GESs is significantly influenced by environmental circumstances, such as temperature and sun irradiation for PV systems and wind speed for WT systems. Environmental changes impact the power capacity of the electrical system since the maximum amount of power that can be generated will only be achieved by implementing control measures. This research aims to enhance the efficiency of a standalone renewable power system by optimizing the energy output from GESs using the MPPT technique, considering the impact of climate fluctuations. The standalone hybrid GESs combines PV and WT technologies with a BSS. For the PV and WT, a combinatorial MPPT technique is proposed to modify the control settings for this system optimally. This method is based on the SMC and FLC. The FLC plays a role in achieving the MPPT target by utilizing membership functions designed to handle uncertainties caused by shifting environmental conditions. Whereas for the BSS, an energy management plan is developed to optimize the performance of the HRES. The system under study outfitted with the MPPT technology, functions in tandem with a BSS. In case of failure or insufficient power generation from primary sources, a DC/DC bidirectional converter is employed to adjust the charging and discharging of the BSS, ensuring a stable supply of DC power. The system’s response in different climates is examined, and the proposed combination controller’s intended effectiveness is confirmed using MATLABSimulink. The investigated structure can achieve approximately 99.213% efficacy with the support of the proposed SMC-FLC method, which is 19.874% greater than the widely used P&O method.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141353385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Short-term wind power prediction based on improved sparrow search algorithm optimized long short-term memory with peephole connections 基于改进的麻雀搜索算法的短期风电预测，优化了带窥视孔连接的长短期记忆

IF 1.5

Wind Engineering Pub Date : 2024-06-10 DOI: 10.1177/0309524x241257429

Fei Tang

引用次数: 0