Iet Generation Transmission & Distribution最新文献

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Fast and Reliable Detection of Synchronous Generator Loss of Excitation Using Rotor Speed Variation 利用转子转速变化快速可靠地检测同步发电机失磁
IF 2 4区 工程技术
Iet Generation Transmission & Distribution Pub Date : 2025-05-06 DOI: 10.1049/gtd2.70077
Saman Soleymani, Yousef Alinejad-Beromi
{"title":"Fast and Reliable Detection of Synchronous Generator Loss of Excitation Using Rotor Speed Variation","authors":"Saman Soleymani,&nbsp;Yousef Alinejad-Beromi","doi":"10.1049/gtd2.70077","DOIUrl":"https://doi.org/10.1049/gtd2.70077","url":null,"abstract":"<p>Loss of excitation (LOE) is one of the most critical faults in synchronous generators, which, if not detected promptly, can lead to power system instability and severe damage to the generator. The main challenge in distinguishing LOE from stable power swings (SPS) lies in the time delay, which is a common issue in most recent protection methods. This paper presents a novel method for LOE detection in synchronous generators. The method utilizes a new criterion based on the variation of the generator rotor speed, where this criterion increases above one per unit after the occurrence of LOE and remains in this state. Unlike traditional methods that require complex settings, this approach operates without the need for threshold adjustments, ensuring accurate and fast performance under various conditions. In the simulations, generators of various sizes were subjected to various loads and network scenarios. The results of the simulations, which were carried out in MATLAB/Simulink, verify that the suggested approach not only diminishes the detection time but also preserves high accuracy when system disturbances occur, protecting system stability under severe conditions.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70077","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143913985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Time Series Forecasting of Natural Inflow in Hydroelectric Power Plants Using Hyper-Tuned Temporal Fusion Transformer With Hodrick–Prescott Filter 基于Hodrick-Prescott滤波的超调谐时间融合变压器时间序列预测水电站自然流入
IF 2 4区 工程技术
Iet Generation Transmission & Distribution Pub Date : 2025-05-05 DOI: 10.1049/gtd2.70087
Rafael Ninno Muniz, William Gouvêa Buratto, Ademir Nied, Rodolfo Cardoso, Erlon Cristian Finardi, Gabriel Villarrubia Gonzalez
{"title":"Time Series Forecasting of Natural Inflow in Hydroelectric Power Plants Using Hyper-Tuned Temporal Fusion Transformer With Hodrick–Prescott Filter","authors":"Rafael Ninno Muniz,&nbsp;William Gouvêa Buratto,&nbsp;Ademir Nied,&nbsp;Rodolfo Cardoso,&nbsp;Erlon Cristian Finardi,&nbsp;Gabriel Villarrubia Gonzalez","doi":"10.1049/gtd2.70087","DOIUrl":"https://doi.org/10.1049/gtd2.70087","url":null,"abstract":"<p>The scheduling of the operation of the electricity system in Brazil is based on multi-criteria optimization that takes into account the forecast of the level of the dams of the hydroelectric plants, this variation is evaluated by the soil moisture active passive model. Considering the advances in using deep learning to forecast time series variations, this paper proposes a hybrid method for forecasting dam level variations. In particular, the temporal fusion transformer (TFT) is used for prediction with the Hodrick–Prescott filter for denoising. To enhance the model's performance, its hyperparameters are optimized by the Optuna framework based on the tree-structured Parzen estimator. For benchmarking, the multilayer perceptron, long short-term memory, recurrent neural network (RNN), Dilated RNN, temporal convolutional neural, neural hierarchical interpolation for time series forecasting, deep non-parametric time series forecaster, and the standard TFT are considered. The results show that the proposed model can make predictions with high performance compared to other methods, being 29.12% better than the second-best model, and 59.22% better than the original TFT model for very short-term forecasting, making it a promising alternative to be used as additional information for planning the operation of the electrical power system.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70087","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143905333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis of Transient Characteristics of Asymmetric Fault Current in Offshore Wind Power System Based on Positive and Negative Sequence Decoupling Control 基于正负序解耦控制的海上风电系统非对称故障电流暂态特性分析
IF 2 4区 工程技术
Iet Generation Transmission & Distribution Pub Date : 2025-05-01 DOI: 10.1049/gtd2.70081
Botong Li, Guanghui Zheng, Qing Zhong, Shuai Wang, Bin Li
{"title":"Analysis of Transient Characteristics of Asymmetric Fault Current in Offshore Wind Power System Based on Positive and Negative Sequence Decoupling Control","authors":"Botong Li,&nbsp;Guanghui Zheng,&nbsp;Qing Zhong,&nbsp;Shuai Wang,&nbsp;Bin Li","doi":"10.1049/gtd2.70081","DOIUrl":"https://doi.org/10.1049/gtd2.70081","url":null,"abstract":"<p>To elucidate the impact mechanism of positive- and negative-sequence decomposition on fault currents in offshore wind AC systems during asymmetrical faults, this study proposes a time-domain method for calculating transient negative-sequence currents. Considering the influence of DSOGI-PLL-based sequence decomposition, the control equation for the negative-sequence transient circuit is derived in the <i>dq</i>-axis coordinate system. The relationship between the negative-sequence component of the grid-side converter (GSC) output voltage modulation signal and the negative-sequence component of the GSC terminal output voltage is analysed, revealing how this discrepancy affects the transient characteristics of the fault negative-sequence current. By integrating the circuit equations in the <i>dq</i>-axis coordinate system, the negative-sequence current control equation, and the relationship between GSC output voltage and modulation voltage, a second-order variable-coefficient differential equation is formulated, constituting the time-domain calculation model for transient negative-sequence current under asymmetrical faults. This model accurately reflects the influence of sequence decomposition and negative-sequence current control on fault currents. Simulation results demonstrate that the model effectively captures transient characteristics such as overshoot and attenuation in the negative-sequence fault current of wind farms under asymmetrical faults, with a steady-state error of less than 3%, providing a theoretical basis for protection scheme development.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70081","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143896880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dynamic Aggregation of Multiple Flexible Resources in Virtual Power Plants to Meet Diverse Frequency Control Requirements 虚拟电厂中多柔性资源的动态聚合以满足不同频率控制需求
IF 2 4区 工程技术
Iet Generation Transmission & Distribution Pub Date : 2025-04-29 DOI: 10.1049/gtd2.70063
Xianliang Teng, Tao Zheng, Jing Cao, Yulong Jin, Qianlian Mo, Zhetong Ding, Ying Wang
{"title":"Dynamic Aggregation of Multiple Flexible Resources in Virtual Power Plants to Meet Diverse Frequency Control Requirements","authors":"Xianliang Teng,&nbsp;Tao Zheng,&nbsp;Jing Cao,&nbsp;Yulong Jin,&nbsp;Qianlian Mo,&nbsp;Zhetong Ding,&nbsp;Ying Wang","doi":"10.1049/gtd2.70063","DOIUrl":"https://doi.org/10.1049/gtd2.70063","url":null,"abstract":"<p>To fulfill the frequency control requirements of the power system, virtual power plants (VPPs) need to aggregate and coordinate a large number of flexible resources. Traditional static aggregation methods, which fixed the composition and coordination strategy of flexible resources, face significant challenges with the diverse frequency control requirements. To address this issue, this paper proposes a dynamic aggregation of multiple flexible resources in VPPs to meet the evolving performance requirements of frequency control. First, a dynamic K-medoids clustering method is applied to reduce the dimension of large-scale resources, thereby reducing the complexity and difficulty of controlling a large number of resources. Then, considering that the intra-hour performance requirements of the frequency control as well as the resource pool of the VPPs are usually minor changing, this paper proposes a two-stage optimization model based on submodular optimization theory for dynamical aggregation, which enables rapid selection and allocation of flexible resources in VPPs. The effectiveness of the proposed method is validated on the IEEE 10-generator 39-bus system with 10,000 flexible resources. The results show that compared to existing techniques, the proposed method enhances the flexibility of large-scale resource aggregation and reduces the calculation time by almost 22 times while guaranteeing the aggregation performance.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70063","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143884237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Using a Probabilistic Breaker Malfunction Model to Account for Uncertainty in the Network Restoration Process 用断路器故障概率模型考虑网络恢复过程中的不确定性
IF 2 4区 工程技术
Iet Generation Transmission & Distribution Pub Date : 2025-04-29 DOI: 10.1049/gtd2.70069
Mahdi Arabsadegh, Aref Doroudi
{"title":"Using a Probabilistic Breaker Malfunction Model to Account for Uncertainty in the Network Restoration Process","authors":"Mahdi Arabsadegh,&nbsp;Aref Doroudi","doi":"10.1049/gtd2.70069","DOIUrl":"https://doi.org/10.1049/gtd2.70069","url":null,"abstract":"<p>Due to changes in weather conditions, severe natural disasters with widespread and profound impacts seriously threaten power grids, necessitating an increase in resilience through an intelligent and rapid network recovery approach following such incidents. The subject of this paper focuses on the probability of breakers malfunction (PBM) after receiving a close command in the phase of grid restoration, assessing the system's resilience from this perspective. Financial and human resource limitations on repair teams have necessitated proactive repair methods for prioritized circuit breakers with a resilience-enhancing approach. In this paper, based on the breakers monitored data, especially the waveform of their closing coil current and the relevant healthy index, an optimization problem is formulated. The non-sequential Monte Carlo probabilistic technique has been then utilized to solve the problem and evaluate the role of breakers' failure action in the supplied network load during the restoration phase. Circuit breakers are divided into different groups based on the breaker's malfunction to examine their impact on the supplied load fully. The method demonstrates that achieving a highly resilient power grid requires considering not only the health condition of the breakers but also their location in the network. Based on the simulation results, a novel approach is proposed to provide the maintenance priority ranking list of network breakers, aiming to increase system resilience against hazardous events.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70069","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143884238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Lightweight Edge Stream Processing Framework and Task Scheduling Algorithm for CNN-Based Distributed PV Output Prediction 基于cnn的分布式光伏输出预测轻量级边缘流处理框架及任务调度算法
IF 2 4区 工程技术
Iet Generation Transmission & Distribution Pub Date : 2025-04-27 DOI: 10.1049/gtd2.70057
Bin Zhu, Tianyuan Liu, Jiaming Weng, Dong Liu
{"title":"Lightweight Edge Stream Processing Framework and Task Scheduling Algorithm for CNN-Based Distributed PV Output Prediction","authors":"Bin Zhu,&nbsp;Tianyuan Liu,&nbsp;Jiaming Weng,&nbsp;Dong Liu","doi":"10.1049/gtd2.70057","DOIUrl":"https://doi.org/10.1049/gtd2.70057","url":null,"abstract":"<p>An increasing number of distributed photovoltaic systems utilize convolutional neural network (CNN)-based models for power prediction, yet face computational bottlenecks when deploying these models on resource-constrained photovoltaic edge computing terminals (PECT). To address this challenge, this paper proposes a lightweight edge stream processing framework integrated with a dynamic task scheduling mechanism, comprising three core components: a data receiving module (DRM) implements real-time task preprocessing with validity screening, a data computing module (DCM) splits and processes sub-tasks of CNNs in parallel, and realizes distributed node collaboration. and a data summarizing module (DSM) for data aggregation. The scheduling mechanism combines a modified least laxity first (MLLF) algorithm with dynamic priority adjustment and a self-monitoring allocation (SMA) algorithm enabling local resource-aware load balancing. Deployed on the iPACS-5612C1 IoT terminal, experiments show that the proposed framework achieves a 97% average CPU utilization (85% in baseline methods), a 25% reduction in computing time, and a 90% task completion rate, with the best real efficiency. The framework achieves a real efficiency improvement of 40% over cloud batch processing while maintaining prediction accuracy above 90% under dynamic conditions. Experiments also demonstrate that this framework has the potential to be deployed on larger photovoltaic clusters. These results demonstrate the effectiveness and scalability of the edge stream processing framework.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70057","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Interval Power Flow Analysis of Linearised AC Power Flow Model Based on Improved Affine Arithmetic Method 基于改进仿射算法的线性化交流潮流模型区间潮流分析
IF 2 4区 工程技术
Iet Generation Transmission & Distribution Pub Date : 2025-04-25 DOI: 10.1049/gtd2.70073
Yuankang He, Liushuangfei Xie, Tao Ding, Yuhan Huang, Yuge Sun, Haoning Shen, Biyuan Zhang, Zhuopu Han, Xiaoqiang Sun
{"title":"Interval Power Flow Analysis of Linearised AC Power Flow Model Based on Improved Affine Arithmetic Method","authors":"Yuankang He,&nbsp;Liushuangfei Xie,&nbsp;Tao Ding,&nbsp;Yuhan Huang,&nbsp;Yuge Sun,&nbsp;Haoning Shen,&nbsp;Biyuan Zhang,&nbsp;Zhuopu Han,&nbsp;Xiaoqiang Sun","doi":"10.1049/gtd2.70073","DOIUrl":"https://doi.org/10.1049/gtd2.70073","url":null,"abstract":"<p>Evaluating power flow fluctuations under uncertainties is an important problem in power systems with a high proportion of renewable energy. However, the computational efficiency of the existing interval algorithms for nonlinear power flow equations is challenging. This paper proposes an interval power flow analysis method based on an interval AC-LPF model and affine arithmetic. The proposed method can guarantee accuracy and reduce time complexity without iterations. By Linearising AC power flow and introducing the intervals of injected power, this paper proposes an interval AC Linearised power flow model. Furthermore, an affine arithmetic-based algorithm is designed to reduce conservation and time complexity in the interval calculation. The proposed method is validated on six IEEE standard systems and a modified real-world power system in Northwest China. Numerical results show the effectiveness of the proposed method.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70073","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Large-Signal Synchronisation Analysis of Phase-Locked Loop-Based Reactive Current Injection Under Weak Grids 弱电网下基于锁相环的无功电流注入的大信号同步分析
IF 2 4区 工程技术
Iet Generation Transmission & Distribution Pub Date : 2025-04-25 DOI: 10.1049/gtd2.70047
Shuaishuai Lv, Kunpeng Shen, Zhiyong Dai, Guangqi Li, Yongheng Yang, Guoqing Wang, Yue Wang, Jinlin Xiong
{"title":"Large-Signal Synchronisation Analysis of Phase-Locked Loop-Based Reactive Current Injection Under Weak Grids","authors":"Shuaishuai Lv,&nbsp;Kunpeng Shen,&nbsp;Zhiyong Dai,&nbsp;Guangqi Li,&nbsp;Yongheng Yang,&nbsp;Guoqing Wang,&nbsp;Yue Wang,&nbsp;Jinlin Xiong","doi":"10.1049/gtd2.70047","DOIUrl":"https://doi.org/10.1049/gtd2.70047","url":null,"abstract":"<p>In this paper, a large-signal synchronisation analysis method based on saddle point characteristics is proposed to discuss the stability of the phase-locked loop (PLL)-based reactive current injection system. Firstly, the large-signal model of the PLL-based reactive current injection is established. An equilibrium point analysis shows that the PLL-based reactive current injection has an infinite number of stable points and saddle points. Then, based on the characteristic that trajectories converging to saddle points form the boundaries of convergence regions for stable points, the large-signal stability analysis of the PLL-based reactive current injection is obtained. It is concluded that the PLL-based reactive current injection has infinite convergence regions. Each convergence region has one stable point, and the position of the stable point is relevant to the grid voltage amplitude and reactive current reference. When the states of the reactive current injection system lie within a convergence region, the final states will converge to the stable point of this region. In addition, the shapes and sizes of the convergence regions are strongly influenced by the grid voltage amplitude and the reactive current reference. When the grid voltage amplitude drops or the reactive current reference increases, the size of the convergence regions reduces. In particular, when the grid voltage amplitude and/or reactive current reference changes largely, the sizes of the convergence regions decrease significantly. In this case, the system states at the original stable point will fall outside the new convergence region, and the PLL-based reactive current injection will lose its synchronisation stability. The effectiveness of the proposed theoretical analyses is verified by simulations.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70047","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hierarchical Coordinated Optimisation of the Restoration Decision-Making for Multi-Voltage-Level Power Systems With Wind Power Integration 风电一体化多电压级电力系统恢复决策的层次协调优化
IF 2 4区 工程技术
Iet Generation Transmission & Distribution Pub Date : 2025-04-23 DOI: 10.1049/gtd2.70075
Yansong Bai, Xueping Gu, Shaoyan Li, Tong Liu, Yingshan Wang
{"title":"Hierarchical Coordinated Optimisation of the Restoration Decision-Making for Multi-Voltage-Level Power Systems With Wind Power Integration","authors":"Yansong Bai,&nbsp;Xueping Gu,&nbsp;Shaoyan Li,&nbsp;Tong Liu,&nbsp;Yingshan Wang","doi":"10.1049/gtd2.70075","DOIUrl":"https://doi.org/10.1049/gtd2.70075","url":null,"abstract":"<p>In power system restoration (PSR), networks with various voltage levels have different decision-making constraints and restoration characteristics. Specifically, the restoration plan for the lower voltage level network is more adaptable to uncertainty of wind power output, owing to its greater flexibility. First, the restoration scheme decision-making is divided into two parts for the main network level (MNL) and the regional network level (RNL) respectively, according to the voltage levels. Second, a hierarchical coordinated optimisation model is established based on a two-stage framework. In the first stage, the plants/lines restoration sequence of the MNL and the subsystem partitioning scheme are determined. Furthermore, the plants/lines restoration sequence of the RNL and the restoration power scheduling scheme of the MNL and RNL are obtained in the second stage of optimisation, which can be flexibly adjusted to adapt to uncertain wind power outputs. The coordination and allocation of frequency regulation resources across subsystems are considered. Finally, the nested column and constraint generation algorithm is applied to solve the two-stage robust model. Case studies using the IEEE standard and a provincial system in China show that the algorithm converges in 2–3 iterations. Compared to non-hierarchical approaches, the proposed method improves cumulative restored energy by 2% and 5.3% in case 1 and case 2, respectively, while maintaining robustness against wind power uncertainty, highlighting its effectiveness in multi-level PSR.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70075","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Day and Night Operational Cross-Clamped Symmetric Thirteen-Level High Power Converter for Renewable Grid Integration 用于可再生电网集成的昼夜可操作交叉钳位对称十三电平高功率变换器
IF 2 4区 工程技术
Iet Generation Transmission & Distribution Pub Date : 2025-04-23 DOI: 10.1049/gtd2.70071
Shivam Kumar Yadav, Bhim Singh, Nidhi Mishra, Sanjeevikumar Padmanaban, Frede Blaabjerg
{"title":"A Day and Night Operational Cross-Clamped Symmetric Thirteen-Level High Power Converter for Renewable Grid Integration","authors":"Shivam Kumar Yadav,&nbsp;Bhim Singh,&nbsp;Nidhi Mishra,&nbsp;Sanjeevikumar Padmanaban,&nbsp;Frede Blaabjerg","doi":"10.1049/gtd2.70071","DOIUrl":"https://doi.org/10.1049/gtd2.70071","url":null,"abstract":"<p>In this paper, a reduced switch approach with cross clamped multilevel configuration is presented for high power penetration in the utility grid. The cross arm converter gives a new solution to feed MW scale power with fewer count of semiconductor switches. The less device approach makes it a compact solution with modular functionality to handle power efficiently. A cross arm connects two solar PV arrays with only six switches to have symmetric level contribution in converter voltage. Topological level explanations and modes of converter modules are presented for the 13-level based new renewable energy system. Each cross connected module operates two PV arrays in individual MPPT mode to feed power efficiently. Efficiency enhancement is ensured with the nearest level round function to provide a fundamental switching logic. Fundamental modulation ensures fewer losses in switching transitions and efficient power control is achieved in day and night duration. Active and reactive power dynamics are shown to ensure reactive power compensation under sudden changes in grid voltage levels. Dynamic performance assessment shows that the converter operates smoothly with changes in irradiance set points. The system is modelled in MATLAB and RT-LAB environments, testing MW-scale feasibility of the new solar multilevel configuration for high power applications.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70071","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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