Wind Engineering最新文献_第3页

Analysis of the effect of parametric uncertainty on dynamic performances of doubly fed induction generator-based wind energy conversion system 参数不确定性对双馈感应发电机风能转换系统动态性能的影响分析

Wind Engineering Pub Date : 2023-10-31 DOI: 10.1177/0309524x231201526

Endalew Ayenew Haile, Milkias Berhanu Tuka

引用次数: 0

Energy management strategies of hybrid renewable energy systems: A review 混合可再生能源系统的能源管理策略综述

Wind Engineering Pub Date : 2023-10-30 DOI: 10.1177/0309524x231200010

Marwa M. Ibrahim

{"title":"Energy management strategies of hybrid renewable energy systems: A review","authors":"Marwa M. Ibrahim","doi":"10.1177/0309524x231200010","DOIUrl":"https://doi.org/10.1177/0309524x231200010","url":null,"abstract":"Burning fossil fuels results in more emissions than generating electricity from renewable sources. The transition to renewable energy from fossil fuels, which currently produce the majority of emissions, is essential to preventing the climatic disaster. Hybrid energy generation systems are still in their infancy. It is envisaged that future technology developments would lead to greater application and more economical goods. There will be more standardised designs, which will make it easier to select a system that is suitable for a certain application. The components will communicate more with one another. As a result, control, monitoring, and diagnosis will be made simpler. The hybrid energy system (HES), also known as hybrid power, is expected to be the long-term power solution for microgrid (MG) systems. This study compares and contrasts several theories and conventional approaches to controlling HRES’s control and energy consumption. A successful energy management strategy has been created using a variety of methods and procedures. The effectiveness of an EMS is determined by its control architecture and the solution approach used; common topologies include hierarchical, decentralised and centralised EMS. Supply side management and demand side management, two EMS components, will be discussed later. The three EMS control architectures are examined in this section. In order to determine the most practical and dependable solution with the lowest Net present cost (NPC), COE and realistic environmental consequences, various hybridisation cases of a PV panel, wind turbine, battery storage and diesel generator are designed, analysed and compared using DSM. The results of taking into account DSM indicated a reduction in CO 2 emissions of 25%, NPC emissions of 14.8%, COE emissions of 14% and an increase in RF emissions of 8.5%. Two fundamental metrics – the DSM Quality Index for technical benefits and the DSM Appreciation Index for economic advantages – are used to assess the technical and economic benefits of DSM.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136103933","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

Comparative evaluation by two different hybrid power flow controller topologies of transient stability of machine system connected to wind-PV sources 两种不同混合潮流控制器拓扑对风电光伏并网机系统暂态稳定性的比较评价

Wind Engineering Pub Date : 2023-10-30 DOI: 10.1177/0309524x231201524

Zahira Seddiki, Tayeb Allaoui, Atallah Smaili

引用次数: 0

Profit enhancement and grid frequency control by energy level scheduling of CAES system in wind-connected electrical system 风电系统CAES系统的能级调度增利及电网频率控制

Wind Engineering Pub Date : 2023-10-30 DOI: 10.1177/0309524x231203686

Shreya Shree Das, Jayendra Kumar

{"title":"Profit enhancement and grid frequency control by energy level scheduling of CAES system in wind-connected electrical system","authors":"Shreya Shree Das, Jayendra Kumar","doi":"10.1177/0309524x231203686","DOIUrl":"https://doi.org/10.1177/0309524x231203686","url":null,"abstract":"The maintenance of power balance poses significant challenges in renewable combined deregulated power systems due to the unpredictable nature of renewable energy sources. This situation leads to economic instability within the system. However, an energy storage system can help maintain energy supply and control system stability for renewable incorporated thermal power plants. Unlike in regulated markets, energy prices in deregulated markets are not fixed by any government body or particular company. Instead, the Independent System Operator (ISO) serves as the main entity in the electrical market, gathering tenders from Generation Companies (GENCOs), Distribution Companies (DISCOs), and Transmission Companies (TRANSCOs). The market controller regulates energy prices using Nodal Pricing (NP), which provides economic benefits to both GENCOs and DISCOs. However, the unpredictability of renewable sources often results in a decline in system profit due to the production of an imbalance price (CostIMC) caused by a mismatch in contracted power generation from the renewable power plant. To address these issues, this study proposes a novel combined system that utilizes a suitable scheduling technique for the optimum operation of a wind farm-compressed air energy storage (CAES) system to maximize profit and revenue while maintaining grid frequency. The CAES system’s energy level is divided into four different levels, and an optimal strategy has been developed to efficiently utilize the CAES system to maintain grid frequency. This work has been conducted in both regulated and deregulated environments using a modified IEEE 30-bus system. The proposed method has been compared with an existing approach and has yielded better results in all aspects.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"36 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136104246","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

Multi-objective optimization strategy for parallel tuning of multiple fractional order controllers in a PMSG based WECS 基于PMSG的wcs中多个分数阶控制器并行调谐的多目标优化策略

Wind Engineering Pub Date : 2023-10-30 DOI: 10.1177/0309524x231203377

Khaled Sahraoui, Rachid Lalalou, Nadir Boutasseta, Issam Attoui, Nadir Fergani, Mohammed Lamine Frikh

{"title":"Multi-objective optimization strategy for parallel tuning of multiple fractional order controllers in a PMSG based WECS","authors":"Khaled Sahraoui, Rachid Lalalou, Nadir Boutasseta, Issam Attoui, Nadir Fergani, Mohammed Lamine Frikh","doi":"10.1177/0309524x231203377","DOIUrl":"https://doi.org/10.1177/0309524x231203377","url":null,"abstract":"In this paper, a novel multi-objective optimization strategy is proposed for the parallel tuning of six fractional order controllers used in regulation loops of a PMSG based wind energy conversion system connected to the electric grid. The nonlinear nature of the WECS components has made controllers design challenging. To enhance the transient response of system variables, Fractional Order Proportional Integral (FOPI) controllers are considered as they are more suitable for such nonlinear physical systems. The additional parameters introduced by FOPI are normally tuned using a single objective, multi-dimensional particle swarm optimization algorithm. However, the inter-dependence of regulation loops introduces additional complexity that is solved in this work using a multi-objective optimization strategy based on a succession of Single-Objective PSO and Multi-Objective PSO. A simulation study has been conducted in order to demonstrate the higher performance and superior tracking accuracy of the proposed multi-objective optimization strategy in variable wind speed operating conditions.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136067356","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

A review of wind energy potential in Morocco: New challenges and perspectives 回顾摩洛哥的风能潜力:新的挑战和前景

Wind Engineering Pub Date : 2023-10-30 DOI: 10.1177/0309524x231200582

Mohammed Bakkari, Badre Bossoufi, Ismail El Kafazi, Manale Bouderbala, Mohammed Karim

{"title":"A review of wind energy potential in Morocco: New challenges and perspectives","authors":"Mohammed Bakkari, Badre Bossoufi, Ismail El Kafazi, Manale Bouderbala, Mohammed Karim","doi":"10.1177/0309524x231200582","DOIUrl":"https://doi.org/10.1177/0309524x231200582","url":null,"abstract":"Morocco has a significant wind energy potential due to its favorable climate proximity to the Atlantic Ocean, and temperature conditions. The governments recognize the importance of transitioning to sustainable energy sources and have taken strategic steps to promote the renewable energy sector, particularly wind energy, to reduce dependence on finite fossil fuels and promote eco-friendly alternatives. Local and international enterprises, along with private investors, have undertaken various wind energy projects in the country. Despite overreliance on conventional resources like coal and gasoline leading to an energy crisis, Morocco sees wind energy as a viable solution due to its increasing accessibility and cost effectiveness. This study comprehensively explores Morocco’s wind energy landscape, defining wind energy and its global and local potential. It highlights challenges and opportunities in wind energy development and outlines strategies to enhance wind resource utilization. By 2021, Morocco achieved a significant milestone by raising the proportion of clean energy in its mix to 37, 6% with wind energy contributing 45% of this. Building on this success, Morocco aims to further increase its renewable energy capacity, targeting 52% of total capacity from renewable source by 2030 according to (IRENA). This showcases Morocco’s commitment to sustainable energy and its progressive approach to creating a greener and more resilient energy future.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"115 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136067461","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

Condition monitoring through DWT-PSD-FLS approach of faulty wind generators 基于DWT-PSD-FLS方法的故障风力发电机状态监测

Wind Engineering Pub Date : 2023-10-03 DOI: 10.1177/0309524x231200237

Lahcène Noureddine, Marouane Hadjadj, Habib Chaouki Ben Djoudi, Ahmed Hafaifa

引用次数: 0

Integrated simulation-based calibration and sensitivity analysis of a compressed air energy storage system 压缩空气储能系统集成仿真标定与灵敏度分析

IF 1.5

Wind Engineering Pub Date : 2023-09-07 DOI: 10.1177/0309524x231194639

Mariuxi Segarra-Fernández, Johnny Fabian Loor, Sourojeet Chakraborty, Dany De Cecchis, Alexander Espinoza, D. Galatro

引用次数: 0

Potential recovery of glass and carbon fibers from wind turbine blades through different valorization techniques 通过不同的增值技术从风力涡轮机叶片中回收玻璃纤维和碳纤维的可能性

IF 1.5

Wind Engineering Pub Date : 2023-09-07 DOI: 10.1177/0309524x231191056

Imen Chikha, Y. Bouzidi, N. Tazi, Samir Baklouti, R. Idir

引用次数: 0

A hybrid model based on LSTM neural networks with attention mechanism for short-term wind power forecasting 基于LSTM神经网络的风电短期预测混合模型

IF 1.5

Wind Engineering Pub Date : 2023-08-21 DOI: 10.1177/0309524x231191163

G. Marulanda, J. Cifuentes, Antonio Bello, J. Reneses

{"title":"A hybrid model based on LSTM neural networks with attention mechanism for short-term wind power forecasting","authors":"G. Marulanda, J. Cifuentes, Antonio Bello, J. Reneses","doi":"10.1177/0309524x231191163","DOIUrl":"https://doi.org/10.1177/0309524x231191163","url":null,"abstract":"Wind power plants have gained prominence in recent decades owing to their positive environmental and economic impact. However, the unpredictability of wind resources poses significant challenges to the secure and stable operation of the power grid. To address this challenge, numerous computational and statistical methods have been proposed in the literature to forecast short-term wind power generation. However, the demand for more accurate and reliable methodologies to tackle this problem remains. In this context, this paper proposes a new hybrid framework that combines a statistical pre-processing stage with an attention-based deep learning approach to overcome the shortcomings of existing forecasting strategies in accurately predicting multi-seasonal wind power time series. The proposed ensemble model involves a data transformation stage that normalizes the data distribution, along with modeling and removing multiple seasonal patterns from the historical time-series. Considering these results, the proposed model further incorporates an LSTM Recurrent Neural Network (RNN) model with an attention mechanism, for each month of the year, to better capture the relevant temporal dependencies in the input residuals sequence. The model was trained and evaluated on hourly wind power data obtained from the Spanish electricity market, spanning the period from 2008 to 2019. Experimental results show that the proposed model outperforms well-established DL-based models, achieving lower error metrics. These findings have potential applications in energy trading, grid planning, and renewable energy management.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"64 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83827551","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