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Research on key technologies of large-scale wind-solar hybrid grid energy storage capacity big data configuration optimization 大型风光互补电网储能容量大数据配置优化关键技术研究
IF 1.5
Wind Engineering Pub Date : 2023-08-21 DOI: 10.1177/0309524x231188951
X. Tong
{"title":"Research on key technologies of large-scale wind-solar hybrid grid energy storage capacity big data configuration optimization","authors":"X. Tong","doi":"10.1177/0309524x231188951","DOIUrl":"https://doi.org/10.1177/0309524x231188951","url":null,"abstract":"Due to the uncertainty and randomness of large-scale wind and light, the output power of the power grid has great fluctuations. If it is directly connected to the grid, it will affect the main grid. In addition, when the grid switches between on-grid/off-grid operation modes, there will be power shortages, shocks and oscillations. The scientific and reasonable configuration of energy storage system capacity big data can reduce the load power shortage rate, improve the utilization rate of renewable energy, and ensure the reliable operation of the power grid. For this reason, the key technology of large-scale wind-solar hybrid grid energy storage capacity big data configuration optimization is studied. A large-scale wind-solar hybrid grid energy storage structure is proposed, and the working characteristics of photovoltaic power generation and wind power generation are analyzed, and the probability model of photovoltaic power generation, wind power generation and load, as well as the charging and discharging model of battery and super capacitor are established accordingly. On this basis, the optimization objective function is set, the constraints are determined, and the large-scale wind-solar hybrid grid energy storage capacity big data configuration optimization model is constructed. And the PSO algorithm is used to solve the model to realize the big data configuration optimization of large-scale wind-solar hybrid grid energy storage capacity. The research results show that the proposed method of large-scale wind-solar hybrid grid energy storage system has good power supply reliability and economy, and can effectively improve the utilization rate of renewable energy.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"8 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82709377","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 radial basis function neural network approach to filtering stochastic wind speed data 随机风速数据的径向基函数神经网络滤波
Wind Engineering Pub Date : 2023-08-10 DOI: 10.1177/0309524x231188696
Jiten Parmar, Jeff Pieper
{"title":"A radial basis function neural network approach to filtering stochastic wind speed data","authors":"Jiten Parmar, Jeff Pieper","doi":"10.1177/0309524x231188696","DOIUrl":"https://doi.org/10.1177/0309524x231188696","url":null,"abstract":"Various types of control methods are utilized in wind turbines to obtain the optimal amount of power from wind. The turbine dynamics are required in said methods, and the wind speed is a critical component of the analysis. However, the stochastic nature of wind means that wind speed sensor signals are noisy. This paper proposes the utilization of a radial basis function neural network (RBFNN) based filter to process the signal, by training the network with a simulated wind signal. The network is differentiated from a traditional filter in that the number of neurons and the “learning rate” of the network dictate the properties of the filtered signal. The information flow in the network consists of the signal to be processed as the input, the which is then used as an argument in a radial basis function (which determines the “distance” of each value in the input from a particular preset point), and then it multiplied by a weight. The learning rate is obtained from a novel equation that is proposed in the paper. The results showed that the proposed scheme has versatility in terms of noise removal and signal smoothing, and if required, can viably match performance with a Butterworth filter. Furthermore, live training and adaptability also serve as advantages over a classic filter. Three “modes” of processing the signal are determined based on choosing certain ranges of values for parameters which comprise the RBFNN (number of neurons used and learning rate), and the control designer can choose which one to implement based on performance requirements.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135494290","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 aerodynamic performance of a hybrid Darrieus-Savonius wind turbine Darrieus-Savonius混合型风力机气动性能数值研究
IF 1.5
Wind Engineering Pub Date : 2023-07-27 DOI: 10.1177/0309524x231188950
Z. Pouransari, Mohadese Behzad
{"title":"Numerical investigation of the aerodynamic performance of a hybrid Darrieus-Savonius wind turbine","authors":"Z. Pouransari, Mohadese Behzad","doi":"10.1177/0309524x231188950","DOIUrl":"https://doi.org/10.1177/0309524x231188950","url":null,"abstract":"A numerical simulation study on the combination of a Darrieus and a Savonius wind turbine is conducted. Hybrid T-II, T-III, and T-IV turbines are suggested with the same Darrieus turbine T-I. In the T-II and T-III, the Savonius turbine is at the center of the Darrieus turbine, whereas in the T-IV, the Savonius turbine is above the Darrieus turbine. The T-III Savonius turbine has half the radius of that of the T-II turbine. Results reveal that variations of the power coefficients, Cp with the tip speed ratio, TSR for the hybrid turbines have different slopes. It is observed that Cp increases with increasing TSR for the T-II and T-IV and does not decrease for the range of TSRs considered, in contrast with the Cp behavior of the T-I. The proposed hybrid T-IV turbine has also a larger Cp than the T-I turbine at the highest TSR.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"62 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85662678","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
Estimate of the wind energy needed to replace natural gas with hydrogen, and electrify heat pumps and automobiles in Massachusetts 估计用氢气取代天然气，并为马萨诸塞州的热泵和汽车供电所需的风能
IF 1.5
Wind Engineering Pub Date : 2023-07-26 DOI: 10.1177/0309524x231185322
J. Cimorelli, Brian Hammerstrom, C. Niezrecki, Xinfang Jin
{"title":"Estimate of the wind energy needed to replace natural gas with hydrogen, and electrify heat pumps and automobiles in Massachusetts","authors":"J. Cimorelli, Brian Hammerstrom, C. Niezrecki, Xinfang Jin","doi":"10.1177/0309524x231185322","DOIUrl":"https://doi.org/10.1177/0309524x231185322","url":null,"abstract":"To meet 2050 decarbonization goals, Massachusetts will not be able to rely on carbon intensive energy sources (e.g. natural gas and gasoline) and hydrogen has been considered a replacement. To produce hydrogen without carbon emissions, renewable energy sources will be used to power electrolyzer stacks. However, renewable energy sources will also be in high demand for other energy sectors, such as automobiles and electrification. This paper estimates the amount of wind energy needed to replace natural gas with hydrogen and electrify automobiles. Comparisons are also made for a scenario in which heat pumps are used to replace natural gas. These energy sectors represent the bulk of energy consumed within Massachusetts and are of high interest to stakeholders globally. The analysis reveals the daunting amount of wind energy needed for replacement and that it is highly unlikely for hydrogen to replace natural gas in time to meet the state’s climate goals.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"29 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88145516","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
Cooperative control strategy for frequency regulation of wind-pumped storage system considering wind speed partition 考虑风速分区的风力抽水蓄能系统频率调节协同控制策略
IF 1.5
Wind Engineering Pub Date : 2023-07-26 DOI: 10.1177/0309524x231188941
Yuanxiang Luo, Yang Feng, Cheng Liu, M. Guan, Linshu Cai
{"title":"Cooperative control strategy for frequency regulation of wind-pumped storage system considering wind speed partition","authors":"Yuanxiang Luo, Yang Feng, Cheng Liu, M. Guan, Linshu Cai","doi":"10.1177/0309524x231188941","DOIUrl":"https://doi.org/10.1177/0309524x231188941","url":null,"abstract":"In order to solve the problem of system inertia reduction and frequency response degradation caused by large-scale wind power interconnection, a strategy is proposed. This strategy incorporates a joint system model composed of doubly-fed wind turbine (DFWT) and variable speed pumped storage (VSPS), utilizing a fuzzy controller to dynamically determine the virtual inertia coefficient of the wind-pumped storage system based on the frequency state of the system, and adjusts the frequency-regulation participation factor of the DFWT in real time according to the operating conditions of it. The simulation results show that the proposed strategy can not only significantly improve the frequency nadir, speed up the system frequency and each generating unit in the system to restore to steady state, but also avoid the second frequency drop (SFD) caused by the wind farm out of primary frequency regulation (PFR), and improve the stability of the system frequency.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"12 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87999852","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
Analysis of Doubly Fed Induction Generator-based wind turbine system for fault ride through capability investigations 通过性能调查分析基于双馈感应发电机的风力发电系统的故障穿越
IF 1.5
Wind Engineering Pub Date : 2023-07-16 DOI: 10.1177/0309524x231186762
M. Tuka, Salem Molla Endale
{"title":"Analysis of Doubly Fed Induction Generator-based wind turbine system for fault ride through capability investigations","authors":"M. Tuka, Salem Molla Endale","doi":"10.1177/0309524x231186762","DOIUrl":"https://doi.org/10.1177/0309524x231186762","url":null,"abstract":"A Doubly Fed Induction Generator has a stator winding directly coupled with grid whereas rotor is to the grid via a fault-prone converter. In early times, when a fault occurred, these generators were required to disengage from the grid. However, due to the increased penetration, grid operators demanded WTs remain connected to the grid. Thus, this paperwork integrates crowbar protection with a Battery Energy Storage System (BESS) to improve Fault Ride Through (FRT) capability. For performance evaluation under transient conditions, a three-phase symmetrical fault is imposed at a time of 2 seconds. By using the suggested technique, the DC-link voltage is observed to improve and remain at 1150 V with minor fluctuation. Likewise, the stator and rotor currents are observed to remain at their nominal value after 2.15 seconds. MATLAB-Simulink software is used for modeling and simulation by obtaining all the system’s actual parameters from ADAMA-II Wind Farm.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"60 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84945468","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
Optimization of wind off-grid system for remote area: Egyptian application 偏远地区风电离网系统优化:埃及应用
IF 1.5
Wind Engineering Pub Date : 2023-07-14 DOI: 10.1177/0309524x231185325
A. Berry, M. Ibrahim
{"title":"Optimization of wind off-grid system for remote area: Egyptian application","authors":"A. Berry, M. Ibrahim","doi":"10.1177/0309524x231185325","DOIUrl":"https://doi.org/10.1177/0309524x231185325","url":null,"abstract":"Due unexpected nature of renewable energy systems, the (Wind/Diesel/Battery) (W/D/B) off-grid system has initially been investigated at a South Sinai location in Egypt for home-scale consumption. Eight different systems, each of which consists of a small wind turbine, storage batteries, and diesel generator, are investigated in accordance with the varying needs of the power loads and seasonal weather data. The major goal is to investigate how adding wind power as an energy source will affect the price of electricity generated while taking into account the cost of reducing CO2 emissions as an external benefit of the wind turbine, which emits no pollutants during operation. In order to compare a Taguchi OA design to a two-level full factorial design to evaluate the systems at two separate sites (South Sinai and the Western Desert in Egypt), a design evaluation tool in DOE++ will be used. To pinpoint the crucial variables and analyze the impact of six different factors on eight different sets, Taguchi OA is used. The proportion of power shortfall is a production indicator, while the net present cost (NPC) and cost of energy (COE) are used as economic indicators. The simulation results demonstrate that W/D/B systems are economically viable for the hypothetical community site when using HOMER software, with electricity generated at a cost of about 0.285$/kWh without accounting for external benefits and 0.221$/kWh if CO2 emissions are competitive with diesel-only systems, where COE is 0.432$/kWh. As a new evaluation approach, the Box-Cox transformation calculated the best λ is about −2 at the two locations, indicating similar technique behaviors, and the fitted probability shows, meaning that the significant impact of system components are wind turbines. Regression model of CO2 emission is demonstrated to be successful for estimates at the Western Desert location than the South Sinai region","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"16 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87644951","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
Unsupervised acoustic detection of fatigue-induced damage modes from wind turbine blades 风力涡轮机叶片疲劳损伤模式的无监督声学检测
IF 1.5
Wind Engineering Pub Date : 2023-07-12 DOI: 10.1177/0309524x231187152
Jaclyn Solimine, M. Inalpolat
{"title":"Unsupervised acoustic detection of fatigue-induced damage modes from wind turbine blades","authors":"Jaclyn Solimine, M. Inalpolat","doi":"10.1177/0309524x231187152","DOIUrl":"https://doi.org/10.1177/0309524x231187152","url":null,"abstract":"This paper proposes a new in-situ damage detection approach for wind turbine blades, which leverages blade-internal non-stationary acoustic pressure fluctuations caused by the mechanical loading as the main source of excitation. This acoustic excitation was leveraged for the detection of fatigue-related damage modes on a full-scale wind turbine blade undergoing edgewise fatigue testing. An unsupervised, data-driven structural health monitoring strategy was developed to learn the normal cavity-internal acoustic sequences generated by the blade’s load cycles and to detect damage-related anomalies in the context of those sequences. A linear cepstral-coefficient based feature set was used to characterize the cavity-internal acoustics and LSTM-autoencoders were trained to accurately reconstruct healthy-case sequences. The reconstruction error was then used to characterize anomalous acoustic patterns within the blade cavity. The technique was able to detect a damage event earlier than a strain-based system by 120,000 load cycles.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"45 2 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80002761","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
Introducing a new system performance function to formulate reliability analysis problems of wind turbines 引入新的系统性能函数来制定风电机组可靠性分析问题
IF 1.5
Wind Engineering Pub Date : 2023-07-12 DOI: 10.1177/0309524x231187044
Sorena Artin
{"title":"Introducing a new system performance function to formulate reliability analysis problems of wind turbines","authors":"Sorena Artin","doi":"10.1177/0309524x231187044","DOIUrl":"https://doi.org/10.1177/0309524x231187044","url":null,"abstract":"Consideration of safety is one of the current requirements to design a new system that is often implemented by defining the system failure probability. Renewable energy systems (RESs) do have the same requirements when it comes to safety and reliability. When designing a wind turbine, as a RES, its reliability is of the highest importance. So, efficient reliability models are required to ensure the turbine is working safely to generate electricity. A new model is introduced in this paper by taking into account the wind speed and the wind angle as two effective factors. These two random variables are reported to follow the Gaussian and Weibull probability distributions, and so are employed to define a limit-state function for the turbines. This limit-state function, which is also called system performance function, will then be used to find out the system failure probability.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"21 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74373876","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
Investigation of PBUC problem with RES and EV in restructured environment 重构环境下可再生能源与电动汽车问题的探讨
IF 1.5
Wind Engineering Pub Date : 2023-07-08 DOI: 10.1177/0309524x231185492
Amita Singh, Veena Sharma, Vineet Kumar, R. Naresh, O. P. Rahi, Vineet Kumar
{"title":"Investigation of PBUC problem with RES and EV in restructured environment","authors":"Amita Singh, Veena Sharma, Vineet Kumar, R. Naresh, O. P. Rahi, Vineet Kumar","doi":"10.1177/0309524x231185492","DOIUrl":"https://doi.org/10.1177/0309524x231185492","url":null,"abstract":"This research proposes a novel solution for the optimal day-ahead scheduling problem in the GAMS environment using the BARON approach. The challenge is extended to include Renewable Energy Sources (RESs) and Electric Vehicles (EVs), making it more complex and practical. EVs serve as loads, energy suppliers, and storage during RESs’ uncertainties. The framework improves cost savings, quality, reliability, and stability of the power supply system by modeling solar, wind, and EV power in the scheduling problem. The solution is tested on a 10 -unit thermal system considering RESs and EVs under deterministic and stochastic environments. Stochastic scenarios are generated using Monte Carlo simulation, and the simultaneous scenario reduction approach enhances results. The BARON solver outperforms other solvers, achieving profits of $205,321 with wind, solar, and EVs, and $187,297 when considering uncertainty, resulting in a reduction of $18,024.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"25 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88364934","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
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