Pub Date : 2023-03-03DOI: 10.13052/dgaej2156-3306.3838
S. B. Pati, S. K. Barik, S. Kundu
Coordinated control of distributed energy resources in a DC micro grid is very much essential in order to meet the critical load demand. A number of control strategies including droop control, Master slave control, Local control, Adaptive control have been investigated and implemented by many researchers. However due to absence of communication link in droop control it has been extensively used in dc microgrid. However the circulating current cannot be avoided which further leads to the loss of power. In this paper an effort has been made to apply markov chain along with fokker plank solution to design the the droop control for fast response during disturbances and at the same time it will also limit the circulating current. The proposed model has been tested for a standard dc microgrid model using matlab simulink.
{"title":"Droop Controller Based on Markov Chain Using Fokker-Planck Solution for a DC Microgrid","authors":"S. B. Pati, S. K. Barik, S. Kundu","doi":"10.13052/dgaej2156-3306.3838","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.3838","url":null,"abstract":"Coordinated control of distributed energy resources in a DC micro grid is very much essential in order to meet the critical load demand. A number of control strategies including droop control, Master slave control, Local control, Adaptive control have been investigated and implemented by many researchers. However due to absence of communication link in droop control it has been extensively used in dc microgrid. However the circulating current cannot be avoided which further leads to the loss of power. In this paper an effort has been made to apply markov chain along with fokker plank solution to design the the droop control for fast response during disturbances and at the same time it will also limit the circulating current. The proposed model has been tested for a standard dc microgrid model using matlab simulink.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91244040","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 : 2023-03-03DOI: 10.13052/dgaej2156-3306.3836
G. Kumar, D. Elangovan
There are several industrial uses for LLC resonant converters. The outcome of the converter is greatly influenced by the design and analysis methodologies used. An LLC resonant converter has been designed based on first harmonic approximation (FHA) modelling, and an optimal design technique has been provided in this work. The goal of this research is to provide a thorough design technique for an LLC resonant converter, based on rigorous quantitative analysis of the circuit’s steady-state performance. This study uses FHA technique, which greatly facilitates the model of the system, resulting in a linear circuit that can be analyzed using a standard complex ac-circuit analysis. The FHA methodology is used to establish circuit characteristics and to estimate the outcomes. Although half-bridge power converters are frequently employed in isolated, converters with high-voltage inputs, and medium-power applications are frequently constructed with resonant switching to increase efficiency, a feature that adds complexity but also provides various performance benefits. Two major benefits of the LLC resonant architecture are the soft-switching capabilities of the Power MOSFETs and secondary rectifiers, as well as the ability to operate at zero load. Additionally, the LLC resonant converter is simulated and the results are confirmed using PSIM.
{"title":"An LLC Resonant Half-Bridge Converter Optimal Design Using First Harmonic Approximation: A Complete Step-by-Design","authors":"G. Kumar, D. Elangovan","doi":"10.13052/dgaej2156-3306.3836","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.3836","url":null,"abstract":"There are several industrial uses for LLC resonant converters. The outcome of the converter is greatly influenced by the design and analysis methodologies used. An LLC resonant converter has been designed based on first harmonic approximation (FHA) modelling, and an optimal design technique has been provided in this work. The goal of this research is to provide a thorough design technique for an LLC resonant converter, based on rigorous quantitative analysis of the circuit’s steady-state performance. This study uses FHA technique, which greatly facilitates the model of the system, resulting in a linear circuit that can be analyzed using a standard complex ac-circuit analysis. The FHA methodology is used to establish circuit characteristics and to estimate the outcomes. Although half-bridge power converters are frequently employed in isolated, converters with high-voltage inputs, and medium-power applications are frequently constructed with resonant switching to increase efficiency, a feature that adds complexity but also provides various performance benefits. Two major benefits of the LLC resonant architecture are the soft-switching capabilities of the Power MOSFETs and secondary rectifiers, as well as the ability to operate at zero load. Additionally, the LLC resonant converter is simulated and the results are confirmed using PSIM.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84957505","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 : 2023-03-03DOI: 10.13052/dgaej2156-3306.38313
Sowthily Chandrasekharan, S. Subramaniam, Malakondareddy Bhoreddy, Veeramani Veerakgoundar
Solar photovoltaic systems installed in outdoor environments are susceptible to faults and partial shading, which leads to reduction in the production of maximum power. The conventional protection units are unable to detect the types of faults due to non-linear characteristics and they result in fire hazards and reduced system efficiency. In this paper, a fault detection method based on Multiclass Support Vector Machine (MSVM) is proposed to detect different faults like line-ground (L-G), line-line (L-L), and partial shading. The array voltage, array current and irradiance are used to detect the line-line and partial shading under different irradiation conditions. The novel Opposition-based Border Collie Optimization (OBCO) algorithm is used to improve the accuracy of fault classification by optimizing the hyper-parameters of MSVM. A 1.6 kW, 4 × 4 solar photovoltaic array is developed, and the fault conditions are experimentally tested to validate the proposed algorithm. The experimental results show that the proposed MSVM-OBCO fault detection algorithm has higher accuracy compared to that of the existing classification algorithms such as k-nearest neighbor, Naïve Bayes, Decision Tree and Random Forest.
{"title":"A Novel Opposition-Based Border Collie Optimization Approach for Fault Detection in Solar Photovoltaic Array","authors":"Sowthily Chandrasekharan, S. Subramaniam, Malakondareddy Bhoreddy, Veeramani Veerakgoundar","doi":"10.13052/dgaej2156-3306.38313","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.38313","url":null,"abstract":"Solar photovoltaic systems installed in outdoor environments are susceptible to faults and partial shading, which leads to reduction in the production of maximum power. The conventional protection units are unable to detect the types of faults due to non-linear characteristics and they result in fire hazards and reduced system efficiency. In this paper, a fault detection method based on Multiclass Support Vector Machine (MSVM) is proposed to detect different faults like line-ground (L-G), line-line (L-L), and partial shading. The array voltage, array current and irradiance are used to detect the line-line and partial shading under different irradiation conditions. The novel Opposition-based Border Collie Optimization (OBCO) algorithm is used to improve the accuracy of fault classification by optimizing the hyper-parameters of MSVM. A 1.6 kW, 4 × 4 solar photovoltaic array is developed, and the fault conditions are experimentally tested to validate the proposed algorithm. The experimental results show that the proposed MSVM-OBCO fault detection algorithm has higher accuracy compared to that of the existing classification algorithms such as k-nearest neighbor, Naïve Bayes, Decision Tree and Random Forest.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87221766","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 : 2023-01-03DOI: 10.13052/dgaej2156-3306.38212
S. Nethravathi., Venkatakirthiga Murali
The increase in penetration of renewable energy sources has transformed the existing grid into a multisource and multipath energy network. For real-time energy transactions in the new microgrid, it is essential to realize an energy router interface, which is the core of the energy internet. The energy router controls the bidirectional energy and data flow and achieves end-to-end energy transmission efficiently. With this consideration, this article proposes a new energy routing algorithm based on the knapsack optimization technique. The proposed work aims to minimize the net energy from the main grid and efficiently utilize solar photovoltaic (SPV) energy through meticulous energy routing. The effectiveness of the proposed work is validated for case studies with various types of loads viz residential, non-residential, and electric vehicle loads. In this work, the best set of loads for optimal energy routing with minimum energy costs are determined. The results show a substantial reduction ranging from 16 to 28% in the peak energy drawn from the grid and at the same time, the cost of electricity to be paid to the utility is noticeably reduced in the range of 39% to 50% for various load types. Further, a sensitivity analysis is carried out to evaluate the effect of variations in input parameters such as PV output, and load demand on the cost of electricity.
{"title":"A Novel Knapsack Algorithm-Based Energy Routing in a Microgrid","authors":"S. Nethravathi., Venkatakirthiga Murali","doi":"10.13052/dgaej2156-3306.38212","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.38212","url":null,"abstract":"The increase in penetration of renewable energy sources has transformed the existing grid into a multisource and multipath energy network. For real-time energy transactions in the new microgrid, it is essential to realize an energy router interface, which is the core of the energy internet. The energy router controls the bidirectional energy and data flow and achieves end-to-end energy transmission efficiently. With this consideration, this article proposes a new energy routing algorithm based on the knapsack optimization technique. The proposed work aims to minimize the net energy from the main grid and efficiently utilize solar photovoltaic (SPV) energy through meticulous energy routing. The effectiveness of the proposed work is validated for case studies with various types of loads viz residential, non-residential, and electric vehicle loads. In this work, the best set of loads for optimal energy routing with minimum energy costs are determined. The results show a substantial reduction ranging from 16 to 28% in the peak energy drawn from the grid and at the same time, the cost of electricity to be paid to the utility is noticeably reduced in the range of 39% to 50% for various load types. Further, a sensitivity analysis is carried out to evaluate the effect of variations in input parameters such as PV output, and load demand on the cost of electricity.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78442564","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 : 2023-01-03DOI: 10.13052/dgaej2156-3306.3826
Ankur Singh Rana, B. B. Bhagyasree, T. Harini, S. Sreekumar, M. Raju
Combined Economic and Environmental load dispatch is critical to the functioning of the power grid, and many models have been developed to address these issues using various techniques. Specially, soft computing methods have recently risen in popularity and have been used in a variety of popular and practical applications. The aim of this paper is to determine the benefits of applying Particle Swarm Optimization (PSO) to the Combined Economic and Environmental Dispatch (CEED) problem in particular. Here, an attempt has been made to find the minimum cost of generation of a system of thermal and solar power plants. The problem is multi-objective and is converted into a single objective function using weighted sum method. Analysis is also done with and without unit commitment using Priority List method and the results are compared. The analyses has been done in MATLAB tool using six thermal power generators and thirteen solar power plants.
{"title":"Optimisation of Economic and Environmental Dispatch of Power System with and without Renewable Energy Sources","authors":"Ankur Singh Rana, B. B. Bhagyasree, T. Harini, S. Sreekumar, M. Raju","doi":"10.13052/dgaej2156-3306.3826","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.3826","url":null,"abstract":"Combined Economic and Environmental load dispatch is critical to the functioning of the power grid, and many models have been developed to address these issues using various techniques. Specially, soft computing methods have recently risen in popularity and have been used in a variety of popular and practical applications. The aim of this paper is to determine the benefits of applying Particle Swarm Optimization (PSO) to the Combined Economic and Environmental Dispatch (CEED) problem in particular. Here, an attempt has been made to find the minimum cost of generation of a system of thermal and solar power plants. The problem is multi-objective and is converted into a single objective function using weighted sum method. Analysis is also done with and without unit commitment using Priority List method and the results are compared. The analyses has been done in MATLAB tool using six thermal power generators and thirteen solar power plants.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":"46 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73518487","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 : 2023-01-03DOI: 10.13052/dgaej2156-3306.3828
T. Manikandan, P. S. R. Nayak, S. P. Simon, K. Sundareswaran
In this study, a full-duplex data communication module is designed and developed for sharing information in a contactless power transfer system. It is realized through LC tank circuits with an inductive power transfer (IPT) system. On both the transmitter and receiver sides, one LCC compensation topology is used. Since Phase Shift Keying (PSK) is less susceptible to error and power-efficient digital modulation techniques, this paper proposes to implement PSK digital modulation technique to data signal modulation for full-duplex communication in a wireless EV charger. The proposed scheme ensures stability, transfers load status, charging level, and emergency messages between the source and load sides of the system, and vice versa. The results are compared with the Amplitude Shift Keying (ASK) digital modulation technique. Further, the impedance-based model is developed to analyze the interference between the power and high-frequency information signals. The inductive power and data transfer (IPDT) prototype is developed in the laboratory and results show that the data rate reaches 288 kbps when 46.6 W of power is transferred from source to load.
{"title":"A New Scheme for Parallel Transmission of Power and Full-Duplex Mode Information Sharing with LCC Topology Based on IPT System","authors":"T. Manikandan, P. S. R. Nayak, S. P. Simon, K. Sundareswaran","doi":"10.13052/dgaej2156-3306.3828","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.3828","url":null,"abstract":"In this study, a full-duplex data communication module is designed and developed for sharing information in a contactless power transfer system. It is realized through LC tank circuits with an inductive power transfer (IPT) system. On both the transmitter and receiver sides, one LCC compensation topology is used. Since Phase Shift Keying (PSK) is less susceptible to error and power-efficient digital modulation techniques, this paper proposes to implement PSK digital modulation technique to data signal modulation for full-duplex communication in a wireless EV charger. The proposed scheme ensures stability, transfers load status, charging level, and emergency messages between the source and load sides of the system, and vice versa. The results are compared with the Amplitude Shift Keying (ASK) digital modulation technique. Further, the impedance-based model is developed to analyze the interference between the power and high-frequency information signals. The inductive power and data transfer (IPDT) prototype is developed in the laboratory and results show that the data rate reaches 288 kbps when 46.6 W of power is transferred from source to load.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":"127 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78520321","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}
With the continuous progress of the society, the demand for electrical power is urgent. The transformer plays an important role in the power energy transmission. The oil temperature inside transformer effectively could reflect working condition of the transformer, which makes it necessary to monitor and forecast the oil temperature to monitor the operating status of the power transformer. However, the oil temperature time series data generated by the power transformer has the characteristics of being complex and nonlinear. In recent years, long and short time memory networks (LSTM) are often used to predict transformer oil temperature. Gated recurrent unit (GRU) is a new version for LSTM. In the structure of GRU, there exist two gates, which are updating gate and resetting gate, respectively. Compared with LSTM network, The structure of GRU is simpler and its effect is better. A novel predicting method for transformer oil temperature is proposed based on time series theory and GRU in this paper, which is verified on the dataset of the oil temperature of the transformers in the two regions. The experimental results are compared with traditional time series prediction models to demonstrate that the proposed method is effective and feasible.
{"title":"GRU Based Time Series Forecast of Oil Temperature in Power Transformer","authors":"Haomin Chen, Lingwen Meng, Yu Xi, Mingyong Xin, Siwu Yu, Guangqin Chen, Yumin Chen","doi":"10.13052/dgaej2156-3306.3822","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.3822","url":null,"abstract":"With the continuous progress of the society, the demand for electrical power is urgent. The transformer plays an important role in the power energy transmission. The oil temperature inside transformer effectively could reflect working condition of the transformer, which makes it necessary to monitor and forecast the oil temperature to monitor the operating status of the power transformer. However, the oil temperature time series data generated by the power transformer has the characteristics of being complex and nonlinear. In recent years, long and short time memory networks (LSTM) are often used to predict transformer oil temperature. Gated recurrent unit (GRU) is a new version for LSTM. In the structure of GRU, there exist two gates, which are updating gate and resetting gate, respectively. Compared with LSTM network, The structure of GRU is simpler and its effect is better. A novel predicting method for transformer oil temperature is proposed based on time series theory and GRU in this paper, which is verified on the dataset of the oil temperature of the transformers in the two regions. The experimental results are compared with traditional time series prediction models to demonstrate that the proposed method is effective and feasible.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":"78 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77094169","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 : 2023-01-03DOI: 10.13052/dgaej2156-3306.3823
Zheng Yangbing, Xue Xiao, Wang Xing, C. Mingyue, Chao Lu
Stable wind power generation can ensure the quality of power transmitted by the grid. The application of large-scale grid-connected wind power systems will induce problems such as grid oscillation and frequency instability. In order to solve the problem of abnormal power system interaction caused by large-scale wind power access and improve the stability of grid-connected doubly-fed wind power generation, this paper proposes a stability modeling analysis of grid-connected doubly-fed wind power generation based on small signal model. First, the operating conditions of the grid-connected DFIG are analyzed, and the vector diagrams of the three operating conditions are given. When the grid-connected DFIG is in the super-synchronous working state, the sub-synchronous working state and the synchronous working state. According to the operating conditions of the grid-connected doubly-fed generators, the grid-connected doubly-fed wind power generation system is linearized. According to the relationship between the actual speed and the synchronous speed of the doubly-fed generator, the operating conditions of the doubly-fed generator are analyzed. By introducing the small-signal model, we analyze the small-signal of the grid-connected doubly-fed wind power generation system. The indirect current control circuit is used to perform reactive power compensation for grid-connected doubly-fed wind turbines. By calculating the reactive power loss of the grid-connected DFIG and the reactive power loss of the transmission line, the compensation capacity of the grid-connected DFIG is calculated. The transient voltage of the wind turbine is controlled by the rotor-side frequency converter, combined with the pitch angle control model. So far, this paper has realized the modeling analysis of grid-connected doubly-fed wind power generation stability. The simulation results show that the modeling analysis in this paper is reasonable for the small-signal analysis results of the stability of grid-connected doubly-fed wind power generation. In the rotor voltage simulation test, after the oscillation occurs for 1 s, the model starts to simulate and eliminate the fault. During the simulation period of 0.7 s∼1.0 s, the output voltage of the converter decreased to 168 V, and the voltage waveform did not fluctuate greatly after 1.0 s. The experimental results show that this method can improve the stability of grid-connected doubly-fed wind power generation.
稳定的风力发电可以保证电网输送的电能质量。大规模风电并网系统的应用会引起电网振荡和频率失稳等问题。为了解决大规模风电接入导致的电力系统异常交互问题，提高并网双馈风电的稳定性，本文提出了基于小信号模型的并网双馈风电稳定性建模分析方法。首先，分析了并网DFIG的运行工况，给出了三种工况的矢量图。并网DFIG处于超同步工作状态、次同步工作状态和同步工作状态时。根据并网双馈发电机的运行情况，对并网双馈风力发电系统进行线性化。根据双馈发电机的实际转速与同步转速的关系，分析了双馈发电机的运行工况。通过引入小信号模型，对并网双馈风力发电系统的小信号进行了分析。采用间接电流控制电路对并网双馈风力发电机组进行无功补偿。通过计算并网DFIG的无功损耗和输电线路的无功损耗，计算出并网DFIG的补偿能力。风力机的暂态电压由转子侧变频器结合俯仰角控制模型进行控制。至此，本文实现了并网双馈风力发电稳定性的建模分析。仿真结果表明，本文的建模分析对于并网双馈风力发电稳定性的小信号分析结果是合理的。在转子电压模拟试验中，振荡发生1s后，模型开始模拟并排除故障。在0.7 s ~ 1.0 s仿真期间，变换器输出电压降至168v, 1.0 s后电压波形波动不大。实验结果表明，该方法可以提高并网双馈风力发电的稳定性。
{"title":"Stability Modeling and Analysis of Grid Connected Doubly Fed Wind Energy Generation Based on Small Signal Model","authors":"Zheng Yangbing, Xue Xiao, Wang Xing, C. Mingyue, Chao Lu","doi":"10.13052/dgaej2156-3306.3823","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.3823","url":null,"abstract":"Stable wind power generation can ensure the quality of power transmitted by the grid. The application of large-scale grid-connected wind power systems will induce problems such as grid oscillation and frequency instability. In order to solve the problem of abnormal power system interaction caused by large-scale wind power access and improve the stability of grid-connected doubly-fed wind power generation, this paper proposes a stability modeling analysis of grid-connected doubly-fed wind power generation based on small signal model. First, the operating conditions of the grid-connected DFIG are analyzed, and the vector diagrams of the three operating conditions are given. When the grid-connected DFIG is in the super-synchronous working state, the sub-synchronous working state and the synchronous working state. According to the operating conditions of the grid-connected doubly-fed generators, the grid-connected doubly-fed wind power generation system is linearized. According to the relationship between the actual speed and the synchronous speed of the doubly-fed generator, the operating conditions of the doubly-fed generator are analyzed. By introducing the small-signal model, we analyze the small-signal of the grid-connected doubly-fed wind power generation system. The indirect current control circuit is used to perform reactive power compensation for grid-connected doubly-fed wind turbines. By calculating the reactive power loss of the grid-connected DFIG and the reactive power loss of the transmission line, the compensation capacity of the grid-connected DFIG is calculated. The transient voltage of the wind turbine is controlled by the rotor-side frequency converter, combined with the pitch angle control model. So far, this paper has realized the modeling analysis of grid-connected doubly-fed wind power generation stability. The simulation results show that the modeling analysis in this paper is reasonable for the small-signal analysis results of the stability of grid-connected doubly-fed wind power generation. In the rotor voltage simulation test, after the oscillation occurs for 1 s, the model starts to simulate and eliminate the fault. During the simulation period of 0.7 s∼1.0 s, the output voltage of the converter decreased to 168 V, and the voltage waveform did not fluctuate greatly after 1.0 s. The experimental results show that this method can improve the stability of grid-connected doubly-fed wind power generation.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90434700","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 : 2023-01-03DOI: 10.13052/dgaej2156-3306.3829
Sugali Harinaik, Shelas Sathyan
This paper proposes a magnetically coupled partial resonant isolated quasi-Y source DC/DC converter. Here, to achieve soft switching, there is no additional auxiliary circuits or magnetic components are used. By making use of transformer’s parasitic elements like winding capacitance (Cp) and leakage inductance (Lk1), zero current switching (ZCS) is obtained at the turn-off instant of all MOSFETs. Hence, the converter can operate at a higher frequency, so that compact size and good efficiency are feasible. This converter inherits all the conventional impedance source converter features, and a higher gain is obtained by using three winding coupled inductor and isolation transformer with small shoot-through duty (dST). Hence, the continuous input current (CIC) and galvanic isolation feature of this converter is most suitable for renewable energy applications. Also, the output voltage is regulated by changing the switching frequency. Finally, a 300 W prototype is designed and tested in the laboratory. The simulation, experimental results with mathematical and design analysis are provided.
{"title":"Design and Analysis of Quasi-Y Source High Gain DC/DC Resonant Converter for Renewable Energy Applications","authors":"Sugali Harinaik, Shelas Sathyan","doi":"10.13052/dgaej2156-3306.3829","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.3829","url":null,"abstract":"This paper proposes a magnetically coupled partial resonant isolated quasi-Y source DC/DC converter. Here, to achieve soft switching, there is no additional auxiliary circuits or magnetic components are used. By making use of transformer’s parasitic elements like winding capacitance (Cp) and leakage inductance (Lk1), zero current switching (ZCS) is obtained at the turn-off instant of all MOSFETs. Hence, the converter can operate at a higher frequency, so that compact size and good efficiency are feasible. This converter inherits all the conventional impedance source converter features, and a higher gain is obtained by using three winding coupled inductor and isolation transformer with small shoot-through duty (dST). Hence, the continuous input current (CIC) and galvanic isolation feature of this converter is most suitable for renewable energy applications. Also, the output voltage is regulated by changing the switching frequency. Finally, a 300 W prototype is designed and tested in the laboratory. The simulation, experimental results with mathematical and design analysis are provided.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74612704","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 : 2023-01-03DOI: 10.13052/dgaej2156-3306.3825
Pardeep Singla, M. Duhan, Sumit Saroha
The forecasting of solar irradiation with high precision is critical for fulfilling electricity demand. The dataset used to train the learning-based models has a direct impact on the model’s prediction accuracy. This work evaluates the impact of two types of datasets: structural and endogenous datasets over the prediction accuracy of different solar forecasting models (five variants of artificial neural network (ANN) based models, Support vector machine (SVM), Linear Regression, Bagged and Boosted Regression tree). The issue of variability estimation is also explored in the paper in order to choose the best model for a given dataset. The performance of the models is assessed using two essential error metrics: mean absolute percentage error (MAPE) and root mean square error (RMSE). The results shows that the MAPE and RMSE for structural data vary from 1.99% to 29.73% and 23.39 W/m2 to 165.21 W/m2, respectively, whereas these errors for endogenous dataset ranges from 1.98% to 31.19% and 23.64 W/m22 to 152.56 W/m22. Moreover, these findings, together with the data variability findings, suggest that SVM is the best model for all forms of data variability, whereas CFNN may be employed for greater variability.
{"title":"Performance Evaluation of Various Solar Forecasting Models for Structural & Endogenous Datasets","authors":"Pardeep Singla, M. Duhan, Sumit Saroha","doi":"10.13052/dgaej2156-3306.3825","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.3825","url":null,"abstract":"The forecasting of solar irradiation with high precision is critical for fulfilling electricity demand. The dataset used to train the learning-based models has a direct impact on the model’s prediction accuracy. This work evaluates the impact of two types of datasets: structural and endogenous datasets over the prediction accuracy of different solar forecasting models (five variants of artificial neural network (ANN) based models, Support vector machine (SVM), Linear Regression, Bagged and Boosted Regression tree). The issue of variability estimation is also explored in the paper in order to choose the best model for a given dataset. The performance of the models is assessed using two essential error metrics: mean absolute percentage error (MAPE) and root mean square error (RMSE). The results shows that the MAPE and RMSE for structural data vary from 1.99% to 29.73% and 23.39 W/m2 to 165.21 W/m2, respectively, whereas these errors for endogenous dataset ranges from 1.98% to 31.19% and 23.64 W/m22 to 152.56 W/m22. Moreover, these findings, together with the data variability findings, suggest that SVM is the best model for all forms of data variability, whereas CFNN may be employed for greater variability.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75595246","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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