Pub Date : 2024-02-14DOI: 10.1177/0309524x241229169
Mujahid Shaik, Balaji Subramanian
A computational investigation of New MEXICO test cases operating under axial flow conditions is reported. Three wind speed cases (10, 15, 24 m/s) corresponding to three different tip speed ratios (10, 6.67, 4.17) when the turbine operates at 425.1 rpm were considered. ANSYS CFX 2021R1 was employed to perform simulations using Single Reference Frame (SRF) and Multiple Reference Frame (MRF) approaches. The flow field is computed by solving unsteady Reynolds Averaged Navier-Stokes (uRANS) equations coupled with SST k-ω turbulence model and Gamma-Theta transition model. Validation involved comparing CFD-predicted integral quantities, static pressure distributions, and loads with corresponding experimental values demonstrating reasonably good agreement at all three wind speeds. Overall, SRF exhibited slightly better wake predictions (hypothetical), while MRF predictions were closer to measurements for integral quantities, static pressure and loads. This study demonstrates the utility of uRANS-based 3D CFD computations in wind turbine aerodynamics studies.
{"title":"Computational investigation and validation of new MEXICO experiment","authors":"Mujahid Shaik, Balaji Subramanian","doi":"10.1177/0309524x241229169","DOIUrl":"https://doi.org/10.1177/0309524x241229169","url":null,"abstract":"A computational investigation of New MEXICO test cases operating under axial flow conditions is reported. Three wind speed cases (10, 15, 24 m/s) corresponding to three different tip speed ratios (10, 6.67, 4.17) when the turbine operates at 425.1 rpm were considered. ANSYS CFX 2021R1 was employed to perform simulations using Single Reference Frame (SRF) and Multiple Reference Frame (MRF) approaches. The flow field is computed by solving unsteady Reynolds Averaged Navier-Stokes (uRANS) equations coupled with SST k-ω turbulence model and Gamma-Theta transition model. Validation involved comparing CFD-predicted integral quantities, static pressure distributions, and loads with corresponding experimental values demonstrating reasonably good agreement at all three wind speeds. Overall, SRF exhibited slightly better wake predictions (hypothetical), while MRF predictions were closer to measurements for integral quantities, static pressure and loads. This study demonstrates the utility of uRANS-based 3D CFD computations in wind turbine aerodynamics studies.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139837502","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}
Pub Date : 2024-02-06DOI: 10.1177/0309524x231225185
Toru Nagao, Atsushi Ichijo
This study discusses the importance of wind turbine design in achieving social acceptance. It examines the factors that determine the shape of wind turbines from two perspectives: engineering and aesthetics. Using the development of New Energy and Industrial Technology Development Organization wind turbines for remote islands in Okinawa as an example, in collaboration with an aircraft manufacturer. This study explores the differences and issues between two aspects, namely engineering design and aesthetic design, and proposes solutions. The following conclusions were drawn regarding achieving an integrated and aesthetically pleasing shape: (1) Engineering and aesthetic designs employ different methods and criteria for shaping a product. (2) Respecting the methodologies and processes of both disciplines and engaging in early-stage discussions on design concepts and approaches can facilitate smooth development. (3) It is recommended to integrate the design processes of engineering and visual tasks and proceed concurrently under the same operational system.
{"title":"Study on engineering and aesthetic design in shape determination of wind turbine","authors":"Toru Nagao, Atsushi Ichijo","doi":"10.1177/0309524x231225185","DOIUrl":"https://doi.org/10.1177/0309524x231225185","url":null,"abstract":"This study discusses the importance of wind turbine design in achieving social acceptance. It examines the factors that determine the shape of wind turbines from two perspectives: engineering and aesthetics. Using the development of New Energy and Industrial Technology Development Organization wind turbines for remote islands in Okinawa as an example, in collaboration with an aircraft manufacturer. This study explores the differences and issues between two aspects, namely engineering design and aesthetic design, and proposes solutions. The following conclusions were drawn regarding achieving an integrated and aesthetically pleasing shape: (1) Engineering and aesthetic designs employ different methods and criteria for shaping a product. (2) Respecting the methodologies and processes of both disciplines and engaging in early-stage discussions on design concepts and approaches can facilitate smooth development. (3) It is recommended to integrate the design processes of engineering and visual tasks and proceed concurrently under the same operational system.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139860434","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}
Pub Date : 2024-02-06DOI: 10.1177/0309524x231225185
Toru Nagao, Atsushi Ichijo
This study discusses the importance of wind turbine design in achieving social acceptance. It examines the factors that determine the shape of wind turbines from two perspectives: engineering and aesthetics. Using the development of New Energy and Industrial Technology Development Organization wind turbines for remote islands in Okinawa as an example, in collaboration with an aircraft manufacturer. This study explores the differences and issues between two aspects, namely engineering design and aesthetic design, and proposes solutions. The following conclusions were drawn regarding achieving an integrated and aesthetically pleasing shape: (1) Engineering and aesthetic designs employ different methods and criteria for shaping a product. (2) Respecting the methodologies and processes of both disciplines and engaging in early-stage discussions on design concepts and approaches can facilitate smooth development. (3) It is recommended to integrate the design processes of engineering and visual tasks and proceed concurrently under the same operational system.
{"title":"Study on engineering and aesthetic design in shape determination of wind turbine","authors":"Toru Nagao, Atsushi Ichijo","doi":"10.1177/0309524x231225185","DOIUrl":"https://doi.org/10.1177/0309524x231225185","url":null,"abstract":"This study discusses the importance of wind turbine design in achieving social acceptance. It examines the factors that determine the shape of wind turbines from two perspectives: engineering and aesthetics. Using the development of New Energy and Industrial Technology Development Organization wind turbines for remote islands in Okinawa as an example, in collaboration with an aircraft manufacturer. This study explores the differences and issues between two aspects, namely engineering design and aesthetic design, and proposes solutions. The following conclusions were drawn regarding achieving an integrated and aesthetically pleasing shape: (1) Engineering and aesthetic designs employ different methods and criteria for shaping a product. (2) Respecting the methodologies and processes of both disciplines and engaging in early-stage discussions on design concepts and approaches can facilitate smooth development. (3) It is recommended to integrate the design processes of engineering and visual tasks and proceed concurrently under the same operational system.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139800591","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}
Pub Date : 2024-01-29DOI: 10.1177/0309524x231222646
Zhen Huang, Haipeng Wang, Yang Li, Hong Shi
Asymmetric airfoils are commonly used in horizontal axis wind turbines, while symmetrical airfoils are currently the focal point of the researches for most vertical axis wind turbines’ airfoils studies. The purpose of this paper is to research the influence of asymmetric airfoils on the aerodynamic performance of vertical axis wind turbines. The influence of asymmetric airfoils on the aerodynamic characteristics of vertical axis wind turbines is investigated by numerical simulation method. The symmetric airfoils are chosen as NACA0021, while the asymmetric airfoils are chosen as DU97-W-300. Single-blade, 3-blade, different tip speed ratios, and three wind speeds (7, 8, 9 m/s) are set as the parameters. The wind turbine with symmetric airfoils performed better aerodynamically at high tip speed ratios, whereas the wind turbine with asymmetric airfoils performs well at low tip speed ratios. The wind turbine with asymmetric airfoils has outstanding start ability at low wind speeds.
{"title":"Research of asymmetric airfoil on aerodynamic characteristics of vertical axis wind turbines","authors":"Zhen Huang, Haipeng Wang, Yang Li, Hong Shi","doi":"10.1177/0309524x231222646","DOIUrl":"https://doi.org/10.1177/0309524x231222646","url":null,"abstract":"Asymmetric airfoils are commonly used in horizontal axis wind turbines, while symmetrical airfoils are currently the focal point of the researches for most vertical axis wind turbines’ airfoils studies. The purpose of this paper is to research the influence of asymmetric airfoils on the aerodynamic performance of vertical axis wind turbines. The influence of asymmetric airfoils on the aerodynamic characteristics of vertical axis wind turbines is investigated by numerical simulation method. The symmetric airfoils are chosen as NACA0021, while the asymmetric airfoils are chosen as DU97-W-300. Single-blade, 3-blade, different tip speed ratios, and three wind speeds (7, 8, 9 m/s) are set as the parameters. The wind turbine with symmetric airfoils performed better aerodynamically at high tip speed ratios, whereas the wind turbine with asymmetric airfoils performs well at low tip speed ratios. The wind turbine with asymmetric airfoils has outstanding start ability at low wind speeds.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140489796","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}
Pub Date : 2024-01-27DOI: 10.1177/0309524x231217912
Jannet Jamii, Mohamed Trabelsi, Majdi Mansouri, A. Kouadri, Mohamed Faouzi Mimouni, M. Nounou
Due to its dependence on weather conditions, wind power (WP) forecasting has become a challenge for grid operators. Indeed, the dispatcher needs to predict the WP generation to apply the appropriate energy management strategies. To achieve an accurate WP forecasting, it is important to choose the appropriate input data (weather data). To this end, a medium-term wind power forecasting using reduced principal component analysis (RKPCA) based Random Forest Model is proposed in this paper. Two-stage WP forecasting model is developed. In the first stage, a Kernel Principal Component Analysis (KPCA) and reduced KPCA (RKPCA)-based data pre-processing techniques are applied to select and extract the important input data features (wind speed, wind direction, temperature, pressure, and relative humidity). The main idea behind the RKPCA technique is to use Euclidean distance for reducing the number of observations in the training data set to overcome the problem of computation time and storage costs of the conventional KPCA in the feature extraction phase. In the second stage, a Random Forest (RF) algorithm is proposed to predict the WP for medium-term. To evaluate the performance of the proposed RKPCA-RF technique it has been applied to data extracted from NOAA’S Surface Radiation (SURFRAD) network at Bondville station, located in USA. The presented results show that the proposed RKPCA-RF technique achieved more accurate results than the state-of-the-art methodologies in terms of RMSE (0.09), MAE (0.23), and R2 (0.85). In addition, the proposed technique achieved the lowest overall computation time (CPU).
{"title":"Medium-term wind power forecasting using reduced principal component analysis based random forest model","authors":"Jannet Jamii, Mohamed Trabelsi, Majdi Mansouri, A. Kouadri, Mohamed Faouzi Mimouni, M. Nounou","doi":"10.1177/0309524x231217912","DOIUrl":"https://doi.org/10.1177/0309524x231217912","url":null,"abstract":"Due to its dependence on weather conditions, wind power (WP) forecasting has become a challenge for grid operators. Indeed, the dispatcher needs to predict the WP generation to apply the appropriate energy management strategies. To achieve an accurate WP forecasting, it is important to choose the appropriate input data (weather data). To this end, a medium-term wind power forecasting using reduced principal component analysis (RKPCA) based Random Forest Model is proposed in this paper. Two-stage WP forecasting model is developed. In the first stage, a Kernel Principal Component Analysis (KPCA) and reduced KPCA (RKPCA)-based data pre-processing techniques are applied to select and extract the important input data features (wind speed, wind direction, temperature, pressure, and relative humidity). The main idea behind the RKPCA technique is to use Euclidean distance for reducing the number of observations in the training data set to overcome the problem of computation time and storage costs of the conventional KPCA in the feature extraction phase. In the second stage, a Random Forest (RF) algorithm is proposed to predict the WP for medium-term. To evaluate the performance of the proposed RKPCA-RF technique it has been applied to data extracted from NOAA’S Surface Radiation (SURFRAD) network at Bondville station, located in USA. The presented results show that the proposed RKPCA-RF technique achieved more accurate results than the state-of-the-art methodologies in terms of RMSE (0.09), MAE (0.23), and R2 (0.85). In addition, the proposed technique achieved the lowest overall computation time (CPU).","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139593052","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}
Pub Date : 2024-01-22DOI: 10.1177/0309524x231212565
Vijay Matheswaran, Patrick J. Moriarty
The performance benefits of using tip devices on wind turbines has been well-documented. However, previous studies show that adding blade tip devices such as winglets leads to a significant increase in blade root bending moment, potentially requiring structural reinforcement with cost and weight drawbacks. A new and unique design philosophy for retrofit blade tip devices for wind turbines is presented. By balancing generated aerodynamic and centrifugal loads, these devices offer an increase in power production without the need for structural reinforcement. Predicted performance and cost benefits of using retrofit blade tip devices on the National Renewable Energy Laboratory 5 MW reference wind turbine are shown. The addition of blade tip devices resulted in significant improvements in the coefficient of power ( Cp) and annual energy production (AEP).
{"title":"Wind turbine performance enhancement with minimal structural load penalty: A design philosophy","authors":"Vijay Matheswaran, Patrick J. Moriarty","doi":"10.1177/0309524x231212565","DOIUrl":"https://doi.org/10.1177/0309524x231212565","url":null,"abstract":"The performance benefits of using tip devices on wind turbines has been well-documented. However, previous studies show that adding blade tip devices such as winglets leads to a significant increase in blade root bending moment, potentially requiring structural reinforcement with cost and weight drawbacks. A new and unique design philosophy for retrofit blade tip devices for wind turbines is presented. By balancing generated aerodynamic and centrifugal loads, these devices offer an increase in power production without the need for structural reinforcement. Predicted performance and cost benefits of using retrofit blade tip devices on the National Renewable Energy Laboratory 5 MW reference wind turbine are shown. The addition of blade tip devices resulted in significant improvements in the coefficient of power ( Cp) and annual energy production (AEP).","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139609238","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}
Pub Date : 2024-01-21DOI: 10.1177/0309524x231225776
Hashim Alnami, Sid Ahmed El Mehdi Ardjoun, Mohamed Metwally Mahmoud
Research and investigation into renewable energy sources is being sparked by the rapidly rising need for electricity, higher costs of fossil fuels, and increasing worries about the environment. Recent years have seen a tremendous increase in the use of wind energy (WE). In-depth study has been done to effectively produce power from WE. Nevertheless, it is exceedingly challenging and dangerous to set up wind turbines (WTs) for research and teaching uses due to constraints like space and upkeep. Numerous benefits come with a lab-scale WT emulator (WTE), such as freedom from space restrictions, an improved level of control, and independence from existing weather conditions. The design and execution of a low-power, lab-scale WTE are the focus of this study. The investigated experimental configuration is intended to precisely mimic the mechanical behavior of a real WT. Aerodynamics, blades, slow shafts, gearboxes, and controller elements, for example, are modeled in MATLAB/Simulink before they are assembled and implemented on a dSPACE 1104 board. A DC motor running under buck converter control is used to substitute the quick shaft. The WTE’s functionality is evaluated in various wind speed conditions. The findings of comparing the WTE’s dynamics with those offered by the manufacturer amply show the efficacy of the proposed WTE and its capacity to take the position of an actual WT. This paper will be a useful resource for investigators in helping them select the best WTE approach for their purposes.
{"title":"Design, implementation, and experimental validation of a new low-cost sensorless wind turbine emulator: Applications for small-scale turbines","authors":"Hashim Alnami, Sid Ahmed El Mehdi Ardjoun, Mohamed Metwally Mahmoud","doi":"10.1177/0309524x231225776","DOIUrl":"https://doi.org/10.1177/0309524x231225776","url":null,"abstract":"Research and investigation into renewable energy sources is being sparked by the rapidly rising need for electricity, higher costs of fossil fuels, and increasing worries about the environment. Recent years have seen a tremendous increase in the use of wind energy (WE). In-depth study has been done to effectively produce power from WE. Nevertheless, it is exceedingly challenging and dangerous to set up wind turbines (WTs) for research and teaching uses due to constraints like space and upkeep. Numerous benefits come with a lab-scale WT emulator (WTE), such as freedom from space restrictions, an improved level of control, and independence from existing weather conditions. The design and execution of a low-power, lab-scale WTE are the focus of this study. The investigated experimental configuration is intended to precisely mimic the mechanical behavior of a real WT. Aerodynamics, blades, slow shafts, gearboxes, and controller elements, for example, are modeled in MATLAB/Simulink before they are assembled and implemented on a dSPACE 1104 board. A DC motor running under buck converter control is used to substitute the quick shaft. The WTE’s functionality is evaluated in various wind speed conditions. The findings of comparing the WTE’s dynamics with those offered by the manufacturer amply show the efficacy of the proposed WTE and its capacity to take the position of an actual WT. This paper will be a useful resource for investigators in helping them select the best WTE approach for their purposes.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139609616","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}
Pub Date : 2024-01-13DOI: 10.1177/0309524x231215812
Wissal Masmoudi, Abdelouahed Djebli
This study aims to find the most powerful algorithm between LM and GD, applying them to the multilayer neural network (MLP) to predict the wind speed of the city of Tetouan. To achieve this we will use the meteorological data of this city from 31/07/2017 to 31/08/2022. The MLP adopted for our study is composed of two hidden layers, 30 neurons in the first layer and 15 in the second, 7 inputs and one output. The data is divided into 80% for training and 20% for testing. The results obtained showed that the Levenberg-Marquardt (LM) algorithm is more efficient than the gradient descent (GD) algorithm with a correlation coefficient R = 0.988102 and a mean square error MSE = 0. 0458. These results will allow us to accurately predict the wind speed of August for the year 2022 in this city.
{"title":"Forecast of wind speed based on MLP network model using Levenberg Marquardt and gradient descent algorithms in Tetouan city, Northern Morocco","authors":"Wissal Masmoudi, Abdelouahed Djebli","doi":"10.1177/0309524x231215812","DOIUrl":"https://doi.org/10.1177/0309524x231215812","url":null,"abstract":"This study aims to find the most powerful algorithm between LM and GD, applying them to the multilayer neural network (MLP) to predict the wind speed of the city of Tetouan. To achieve this we will use the meteorological data of this city from 31/07/2017 to 31/08/2022. The MLP adopted for our study is composed of two hidden layers, 30 neurons in the first layer and 15 in the second, 7 inputs and one output. The data is divided into 80% for training and 20% for testing. The results obtained showed that the Levenberg-Marquardt (LM) algorithm is more efficient than the gradient descent (GD) algorithm with a correlation coefficient R = 0.988102 and a mean square error MSE = 0. 0458. These results will allow us to accurately predict the wind speed of August for the year 2022 in this city.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139530710","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}
Pub Date : 2024-01-12DOI: 10.1177/0309524x231217262
Kun Li, Yayu Liu, Ying Han
Due to the noise uncertainty, the conventional point prediction model is difficult to describe the actual characteristics of wind speed and lacks a description of the wind speed fluctuation range. In this paper, the kernel density estimation according to its error value is given, and then its fluctuation range is found to combine the prediction results of the test set to get its prediction range. Firstly, the singular spectrum analysis (SSA) is introduced to conduct the noise reduction, and variational modal decomposition (VMD) is performed to handle the sequences, then an improved slime mold algorithm (SMA) is proposed to optimize the VMD, and the stochastic configuration networks (SCNs) is applied to perform the prediction. Finally, the interval prediction results are calculated by fusing the point prediction error and kernel density estimation. The experimental results demonstrate that the proposed method can effectively reduce the noise interference in the wind speed prediction.
{"title":"A wind speed interval prediction method for reducing noise uncertainty","authors":"Kun Li, Yayu Liu, Ying Han","doi":"10.1177/0309524x231217262","DOIUrl":"https://doi.org/10.1177/0309524x231217262","url":null,"abstract":"Due to the noise uncertainty, the conventional point prediction model is difficult to describe the actual characteristics of wind speed and lacks a description of the wind speed fluctuation range. In this paper, the kernel density estimation according to its error value is given, and then its fluctuation range is found to combine the prediction results of the test set to get its prediction range. Firstly, the singular spectrum analysis (SSA) is introduced to conduct the noise reduction, and variational modal decomposition (VMD) is performed to handle the sequences, then an improved slime mold algorithm (SMA) is proposed to optimize the VMD, and the stochastic configuration networks (SCNs) is applied to perform the prediction. Finally, the interval prediction results are calculated by fusing the point prediction error and kernel density estimation. The experimental results demonstrate that the proposed method can effectively reduce the noise interference in the wind speed prediction.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139625044","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}
Pub Date : 2024-01-11DOI: 10.1177/0309524x231221242
Tummala Slv Ayyarao, Ramakrishna S. S. Nuvvula, Polamarasetty P. Kumar, Ilhami Colak, Hasan Koten, Ahmed Ali, Baseem Khan
In this paper, a novel extended state observer-based (ESO) load frequency control is implemented. Specifically, the proposed control law focuses on the incorporation of wind energy injection as one of the disturbances, treating it as an additional state within the system. The proposed ESO is designed to estimate both the system states and the net disturbance, thereby enhancing its ability to regulate the overall load frequency performance. The proposed control strategy hinges on the judicious selection of control gains and disturbance gain. The estimated disturbance is then effectively compensated to regulate the load frequency. To evaluate the efficacy of the proposed controller, tests are conducted on both single and three area systems. The results demonstrate superior performance, even under conditions involving load and parameter variations.
{"title":"Extended state observer-based primary load frequency controller for power systems with ultra-high wind-energy penetration","authors":"Tummala Slv Ayyarao, Ramakrishna S. S. Nuvvula, Polamarasetty P. Kumar, Ilhami Colak, Hasan Koten, Ahmed Ali, Baseem Khan","doi":"10.1177/0309524x231221242","DOIUrl":"https://doi.org/10.1177/0309524x231221242","url":null,"abstract":"In this paper, a novel extended state observer-based (ESO) load frequency control is implemented. Specifically, the proposed control law focuses on the incorporation of wind energy injection as one of the disturbances, treating it as an additional state within the system. The proposed ESO is designed to estimate both the system states and the net disturbance, thereby enhancing its ability to regulate the overall load frequency performance. The proposed control strategy hinges on the judicious selection of control gains and disturbance gain. The estimated disturbance is then effectively compensated to regulate the load frequency. To evaluate the efficacy of the proposed controller, tests are conducted on both single and three area systems. The results demonstrate superior performance, even under conditions involving load and parameter variations.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139438488","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}
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