IET Renewable Power Generation最新文献_第6页

Independent Microgrid Transient Stability Evaluation Model Based on a Message Passing Graph Neural Network 基于消息传递图神经网络的独立微电网暂态稳定评估模型

IF 2.9 4区工程技术

IET Renewable Power Generation Pub Date : 2025-07-09 DOI: 10.1049/rpg2.70082

Yuntao Ju, Ziyi Li

{"title":"Independent Microgrid Transient Stability Evaluation Model Based on a Message Passing Graph Neural Network","authors":"Yuntao Ju, Ziyi Li","doi":"10.1049/rpg2.70082","DOIUrl":"10.1049/rpg2.70082","url":null,"abstract":"In isolated microgrids, virtual synchronous generators (VSGs) are utilized to enhance frequency stability. However, the presence of these generators can lead to undesirable levels of voltage or current during transient angle instability. The current Lyapunov transient stability analysis method is challenging to utilize due to the complexity of acquiring the energy function. Furthermore, existing data-driven microgrid transient stability methods do not easily adapt to changes in topology. Inaccuracies may also be present in existing stability analysis methods, as they fail to account for nonlinearities such as saturation and dead zone. To address these issues, we propose a microgrid transient stability analysis method based on a message-passing graph neural network (MPNN). When the topology changes, the information bus and transmission line are aggregated and updated through the message-passing mechanism in the graph neural network, and we enhance the approach by introducing current saturation as an additional feature to the transient stability analysis model. We present simulation results for a microgrid test case to validate the effectiveness of the proposed method, and the evaluation accuracy is maintained above 98%.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70082","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144589780","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

Research on Modelling and Parameter Identification Method of Photovoltaic Arrays Based on the Implicit Double Diode Model and Reverse Bias Model 基于隐式双二极管模型和反向偏置模型的光伏阵列建模及参数辨识方法研究

IF 2.9 4区工程技术

IET Renewable Power Generation Pub Date : 2025-07-05 DOI: 10.1049/rpg2.70063

Zou Zubing, Bi Tianshu, Su Ying

{"title":"Research on Modelling and Parameter Identification Method of Photovoltaic Arrays Based on the Implicit Double Diode Model and Reverse Bias Model","authors":"Zou Zubing, Bi Tianshu, Su Ying","doi":"10.1049/rpg2.70063","DOIUrl":"10.1049/rpg2.70063","url":null,"abstract":"The establishment of an accurate photovoltaic (PV) arrays model is instrumental in enhancing the precision of PV performance evaluation and fault diagnosis, which holds significant importance for elevating the level of intelligent operation and maintenance of PV power stations. A modelling approach for PV arrays based on the implicit double diode model (IDDM) and the reverse bias model (RBM) is proposed in this paper, along with a rational and efficient method for the model parameters identification. First, an effective PV array modelling method is proposed for series-connected PV arrays, based on the IDDM and RBM and integrated with the principle of voltage superposition. Then, a two-stage model parameter identification method is introduced. The first stage employs the maximum power point matching (MPPM) method to swiftly calculate the model parameters corresponding to the voltage-current (I-V) characteristics, using these as the initial values for the parameter identification algorithm. The second stage utilises the improved gorilla troops optimizer (IGTO) to achieve precise identification of the model parameters. Ultimately, simulation experiments are conducted to emulate the functionality of the PV array model, with the proposed model achieving a simulation accuracy of 0.0243 A. The parameter identification accuracy of the IGTO reaches 0.0024 A, satisfying the requirements for PV array modelling. This thereby validates the prominent advantages of the model parameter identification method and reflects the application value and prospective development of the PV array model in fault diagnosis.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70063","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144563441","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

Unmanned Aerial Vehicles in Microgrid Defense 微电网防御中的无人机

IF 2.9 4区工程技术

IET Renewable Power Generation Pub Date : 2025-07-03 DOI: 10.1049/rpg2.70089

Alexis P. Zhao, Da Huo, Mohannad Alhazmi

{"title":"Unmanned Aerial Vehicles in Microgrid Defense","authors":"Alexis P. Zhao, Da Huo, Mohannad Alhazmi","doi":"10.1049/rpg2.70089","DOIUrl":"10.1049/rpg2.70089","url":null,"abstract":"In the evolving landscape of microgrid cybersecurity, this paper introduces a groundbreaking approach using unmanned aerial vehicles (UAVs) integrated with a deep neural network-robust optimization (DNN-RO) framework to defend against sophisticated false data injection attacks (FDIAs). Our research pioneers a dynamic UAV-based defense model, meticulously engineered and simulated across a 50 square kilometer virtual microgrid. The UAVs leverage cutting-edge path loss models and strategic energy management to optimize their deployment and operational efficiency. Our extensive simulation trials reveal compelling outcomes: a reduction in detection latency by over 50%, classification accuracy improved to 94.7%, and a streamlined response time that robustly counters cyber threats. Furthermore, the operational deployment of UAVs achieves significant cost reductions, showcasing not only the model's enhanced security capabilities but also its economic benefits. This study not only marks a significant advance in microgrid protection strategies but also sets a new standard for integrating UAV technology in critical infrastructure defense, offering scalable and economically feasible solutions for future-proofing energy systems against cyber threats.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70089","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144550951","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

Model Predictive Control to Promote PV Intake in a Multi-Energy Based Power Grid 模型预测控制促进多能电网中光伏发电的吸收

IF 2.9 4区工程技术

IET Renewable Power Generation Pub Date : 2025-07-03 DOI: 10.1049/rpg2.70069

Yongxiang Cai, Hongyan He, Song Zhang, Molin He, Hongwei Li, Yuansheng Liang

{"title":"Model Predictive Control to Promote PV Intake in a Multi-Energy Based Power Grid","authors":"Yongxiang Cai, Hongyan He, Song Zhang, Molin He, Hongwei Li, Yuansheng Liang","doi":"10.1049/rpg2.70069","DOIUrl":"10.1049/rpg2.70069","url":null,"abstract":"With the growing integration of renewable energy into power grids, photovoltaic systems face challenges due to intermittency, resulting in significant PV curtailment under low-load conditions. While hydrogen energy storage coupled with water electrolysis and fuel cells offers a promising solution to balance supply-demand fluctuations. Existing control strategies for multi-energy systems often rely on open-loop frameworks that lack real-time adaptability. As a result, sub-optimal PV utilization and grid unstable may happens. This paper proposes an innovative closed-loop model predictive control (MPC) scheme enhanced by hybrid artificial intelligence to maximize PV intake and minimize grid-user power exchange in a PV-hydrogen-microgrid system. The MPC mechanism uniquely incorporates feedback correction and a hybrid prediction algorithm (EMD-KPCA-LSTM) to address PV uncertainty: empirical mode decomposition (EMD) extracts intrinsic mode functions from environmental and PV data, kernel principal component analysis (KPCA) reduces feature dimensions, and long short-term memory (LSTM) networks enable high-accuracy PV power forecasting. Iterative genetic algorithm (GA) optimization generates optimal control sequences for 24-h operation. Case studies using real-world data from China demonstrate that the proposed scheme reduces grid interaction by 42.6% and increases PV utilization by 13.7% in average compared to baseline methods. Key innovations include (1) a feedback-corrected MPC framework for dynamic adaptation to PV and load fluctuations, (2) the EMD-KPCA-LSTM hybrid model enhancing prediction accuracy, and (3) an SSM constrained optimization strategy specifically targeting PV intake maximization rather than conventional cost minimization. This work provides a scalable solution for renewable-rich grids transitioning to low-carbon multi-energy systems.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70069","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144536971","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

Development of a Pricing Model for the Reactive Power Supply via Statcom Capability of a Real PV Power Plant 基于光伏电站Statcom能力的无功供电定价模型的建立

IF 2.9 4区工程技术

IET Renewable Power Generation Pub Date : 2025-07-02 DOI: 10.1049/rpg2.70092

Hartmudt Köppe, Merten Schuster, Stefan Eichner, Robin Grab, Florian Sass, Bernd Engel

{"title":"Development of a Pricing Model for the Reactive Power Supply via Statcom Capability of a Real PV Power Plant","authors":"Hartmudt Köppe, Merten Schuster, Stefan Eichner, Robin Grab, Florian Sass, Bernd Engel","doi":"10.1049/rpg2.70092","DOIUrl":"10.1049/rpg2.70092","url":null,"abstract":"The German Energiewende policy mandates the gradual decommissioning of conventional power plants, shifting the responsibility of reactive power (Q) provision to renewable energy sources. This paper evaluates the economic benefits and impact on inverter lifespan of extended Q provision, developing a pricing model that considers both dispatch and reserve costs. The study examines the provision of Q outside the technical connection rules of a utility-scale PV power plant in the transmission grid. Utilizing a detailed simulation model of a real extra high voltage PV park with 350 MW installed power, cost components are presented, valuation approaches formulated, and their application in the transmission grid examined. The basic valuation approach considers both plant-specific and external costs, focusing on active power losses and inverter wear. The analysis shows that relative losses (MWh/Mvar) in the park vary due to dispatch patterns, representing the highest cost sensitivity. Our results underscore the importance of these factors in determining the Q price. The findings indicate that additional Q can be provided without structural changes to the inverters, but economic viability depends on appropriate compensation mechanisms. A field study investigation of the simulative observation is recommended for further validation and is done in the research project Q-REAL.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70092","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144536874","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

Emission-Aware Energy Management of an Isolated Water-Energy Microgrid Considering Hydrogen Vehicles, Demand-Side Management, and Vehicle-to-Grid Technology 考虑氢燃料汽车、需求侧管理和车辆到电网技术的孤立水-能源微电网的排放感知能源管理

IF 2.9 4区工程技术

IET Renewable Power Generation Pub Date : 2025-07-02 DOI: 10.1049/rpg2.70086

Hamid Radmanesh, Yasin Pezhmani, Mohammad Ali Heydari

{"title":"Emission-Aware Energy Management of an Isolated Water-Energy Microgrid Considering Hydrogen Vehicles, Demand-Side Management, and Vehicle-to-Grid Technology","authors":"Hamid Radmanesh, Yasin Pezhmani, Mohammad Ali Heydari","doi":"10.1049/rpg2.70086","DOIUrl":"10.1049/rpg2.70086","url":null,"abstract":"This paper proposes an emission-aware stochastic optimization framework for the optimal operation of an isolated multi-energy microgrid (MEM) consisting of water, power, hydrogen, and heat sectors. The proposed MEM uninterruptedly supplies freshwater and multiple energy demands in a remote area without access to the power grid, while satisfying charging demands of a number of plug-in electric vehicles (EVs) and hydrogen fuel cell vehicles coordinately. To consider the uncertainty of renewable energy sources in the MEM, different scenarios for solar radiation and wind speed are taken into account in the proposed framework. Furthermore, demand-side management is realized in power and water sectors of the MEM by implementing demand response (DR) programs. The impacts of three different charging strategies for plug-in EVs and participation of flexible water and electrical loads in DR programs on economic-environmental indices of the MEM are investigated. The results confirm that coordinated charging strategy for EVs and using vehicle-to-grid technology in peak hours have the potential to decrease operational cost and emissions of the MEM by about 1.05% and more than 0.76%, respectively. In addition, the consideration of DR programs in power and water sectors leads to more than 1.42% cost-saving and about 0.83% emission reduction.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70086","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144536873","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

Hybrid Biomass and Natural Gas Combined Cycles: Performance and Economic Analysis 混合生物质和天然气联合循环：性能和经济分析

IF 2.9 4区工程技术

IET Renewable Power Generation Pub Date : 2025-07-01 DOI: 10.1049/rpg2.70091

Suleiman Ibrahim Mohammad, Asokan Vasudevan, Marwea Al-hedrewy, Mustafa Abdullah, Suhas Ballal, Abhayveer Singh, Sapna Singh, Srinivasa Rao Rapeti, Reza Alayi

引用次数: 0

Iterative Algorithm-Induced Deep-Unfolding Networks for Interpretable Fault Detection of Permanent Magnet Synchronous Motor 基于迭代算法的永磁同步电机可解释故障检测深度展开网络

IF 2.9 4区工程技术

IET Renewable Power Generation Pub Date : 2025-06-30 DOI: 10.1049/rpg2.70062

Yueqi Wang, Dongdong Li, Dongmei Huang, Wei Hu, Wei Song

{"title":"Iterative Algorithm-Induced Deep-Unfolding Networks for Interpretable Fault Detection of Permanent Magnet Synchronous Motor","authors":"Yueqi Wang, Dongdong Li, Dongmei Huang, Wei Hu, Wei Song","doi":"10.1049/rpg2.70062","DOIUrl":"10.1049/rpg2.70062","url":null,"abstract":"Fault detection in permanent magnet synchronous motors (PMSMs) is essential for ensuring their operational reliability. However, existing high-accuracy algorithms, especially those based on neural networks, frequently face challenges such as poor interpretability and decreased accuracy in noisy environments. To address these issues, this paper proposes an interpretable fault detection method for PMSMs based on sparse representation theory, termed IAIUNet-SRC. The proposed low-dimensional over-relaxation ADMM algorithm (LOADMM) effectively reduces computational complexity by incorporating over-relaxation techniques and matrix inversion lemmas, thereby avoiding direct matrix inversion operations and enhancing convergence efficiency. Building upon LOADMM, the iterative algorithm-induced deep-unfolding network (IAIUNet) translates the iterative process of LOADMM into a layer-wise neural network structure, embedding learnable parameters to adaptively optimise performance. This design inherently preserves the interpretability of the optimisation process. Experimental results demonstrate that under noisy conditions, IAIUNet-SRC achieves a fault detection accuracy of 98.87%, representing a 2.51% improvement over the baseline method ADMM-SRC, while reducing computation time by 80%.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70062","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144515111","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

Distributed Optimization Dispatch Strategy for Electricity-Gas Coupled System 电-气耦合系统分布式优化调度策略

IF 2.9 4区工程技术

IET Renewable Power Generation Pub Date : 2025-06-25 DOI: 10.1049/rpg2.70077

Rongqiang Guan, Xiaoguang Li, Pingping Xiao, Rufei Ren

{"title":"Distributed Optimization Dispatch Strategy for Electricity-Gas Coupled System","authors":"Rongqiang Guan, Xiaoguang Li, Pingping Xiao, Rufei Ren","doi":"10.1049/rpg2.70077","DOIUrl":"10.1049/rpg2.70077","url":null,"abstract":"With the development of energy internet, multi-energy coupling system has received wide attention. This paper addresses the economic dispatch optimization problem in coupled electricity-gas energy systems, with a particular focus on the participation of renewable energy sources. A comprehensive model is proposed, incorporating renewable energy power generation, gas production, and electricity-gas conversion processes. The model further refines the composition of multi-energy loads, transitioning from traditional single-energy loads to more complex multi-energy loads. Additionally, a cost model is established that considers conversion losses, calculation coefficients, and conversion intervals, enhancing adaptability to future new energy system developments and optimal scheduling. A fully distributed optimization algorithm based on neural dynamics is introduced, allowing each energy node to minimize information exchange and perform local optimal power calculations. Theoretical and simulation proofs are provided to validate the effectiveness and efficiency of the proposed model and algorithm.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70077","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144473179","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 Coupling-Factor-Based Nonlinear Decoupling Method for Transient Operation Analysis of LCL-Filtered Grid-Connected VSC 基于耦合因子的lcl滤波并网VSC暂态运行分析非线性解耦方法

IF 2.9 4区工程技术

IET Renewable Power Generation Pub Date : 2025-06-25 DOI: 10.1049/rpg2.70090

Pengcheng Yang, Hongda Cai, Jing Li, Yue Li

{"title":"A Coupling-Factor-Based Nonlinear Decoupling Method for Transient Operation Analysis of LCL-Filtered Grid-Connected VSC","authors":"Pengcheng Yang, Hongda Cai, Jing Li, Yue Li","doi":"10.1049/rpg2.70090","DOIUrl":"10.1049/rpg2.70090","url":null,"abstract":"In light of the exponential growth in renewable energy generation, voltage source converters (VSCs) have garnered extensive attention, particularly concerning control methodologies and steady-state operation analysis. Nevertheless, the comprehensive transient operation analysis under large disturbances remains a critical issue, owing to the challenges in the analysis and characterisation of high-order nonlinear VSC systems. In this regard, a coupling-factor-based nonlinear decoupling (CFND) method is proposed in this paper. Firstly, by evaluating the correlation degree between state variables with coupling factors, the original nonlinear high-order system can be divided into multiple decoupled first- or second-order cubic modes, which can facilitate the transient stability analysis. Secondly, with the proposed CFND method, the full-order large-signal model of LCL-filtered grid-connected VSCs is created to analyse the transient stability under grid fault conditions. It is revealed that increasing phase-locked loop (PLL) bandwidth and decreasing current loop bandwidth are unfavourable to the transient stability. Besides, decreasing the active current reference or increasing the reactive current reference is beneficial for transient stability during the low voltage ride-through (LVRT) process. Finally, the effectiveness of the stability analysis results is verified through hardware-in-loop (HIL) experiments.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70090","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144473180","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