IET Renewable Power Generation最新文献

{"title":"Numerical Assessment of Vertical Axis Hydrokinetic Turbine Efficiencies With Different Grate Protections","authors":"Derya Karakaya,&nbsp;Sebnem Elçi","doi":"10.1049/rpg2.70060","DOIUrl":"https://doi.org/10.1049/rpg2.70060","url":null,"abstract":"<p>Hydrokinetic turbines are crucial for sustainable power generation, but their performance is often impacted by floating debris and sediment transport, which can damage turbine blades. Sediment retention enhances the turbine's lifespan and reduces maintenance by preventing blade erosion, cavitation and clogging. Protective grates reduce abrasive particle entry, minimising blade wear. They also avoid buildup of sediment, lowering the risk of blockages and cavitation, which harm efficiency and accelerate degradation. This study presents the numerical performance of Darrieus-type vertical axis hydrokinetic turbines under the impact of straight and Coanda type grate protection structures. The effects of these two types of grate structures with different design angles on turbine power coefficient (C_P) and torque coefficient (C_T) were investigated using the ANSYS Fluent program. The dynamic mesh technique simulated the turbine rotation and the semi-implicit method for pressure-linked equations (SIMPLE) was applied with a shear stress transport (SST) k-ω turbulence model. The turbine's efficiency was compared and the results were evaluated for steady and unsteady flow conditions. The highest power coefficients were obtained as 0.230 and 0.264 for steady and unsteady flow, respectively, in the Coanda grate with a 30° central angle. The highest power coefficients were obtained as 0.215 and 0.247 for steady and unsteady flow, respectively, in the straight grate design with a 60° inclination angle. The sediment retention capacities of Coanda grates (30° central angle) and straight grates (60° inclination angle) with varying particle size distributions were further investigated using the discrete phase model (DPM) under steady flow conditions.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70060","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925825","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}

{"title":"Islanding Detection in DC Microgrids Based on Empirical Mode Decomposition","authors":"Hengameh Chabok,&nbsp;Behrooz Zaker,&nbsp;Haidar Samet","doi":"10.1049/rpg2.70013","DOIUrl":"https://doi.org/10.1049/rpg2.70013","url":null,"abstract":"<p>Improved efficiency, enhanced integration with distributed generations (DGs), and the proliferation of DC loads in power systems have driven a surge in the adoption of DC microgrids (DCMGs). However, unintentional islanding poses a significant threat to these microgrids, necessitating robust islanding detection techniques to safeguard personnel, equipment and system stability. This paper proposes two novel passive islanding detection methods for DCMGs, explicitly addressing the non-detection zone (NDZ). The first proposed method involves collecting voltage samples at the DG terminals and computing their empirical mode decomposition (EMD). Subsequently, intrinsic mode functions (IMFs) are extracted, and the energy in each window is calculated to establish a diagnosis. To effectively distinguish islanding from other disturbances and faults, various scenarios are investigated. The second method is predicated on ensemble empirical mode decomposition (EEMD). Following the collection of voltage samples from DG terminals, white noise is introduced to these samples. The method subsequently extracts IMFs through averaging and quantifies the energy content within each window. The proposed methods are validated through simulations in Simulink/MATLAB. The obtained results demonstrate the methods’ effectiveness in achieving fast and accurate islanding detection.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70013","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143913988","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}

{"title":"Capacity Compensation Mechanism Design for Energy Storage Sharing in New Energy Base","authors":"Yan Liang,&nbsp;Ming Zhou,&nbsp;Xue Bai,&nbsp;Hongli Liu,&nbsp;Minru Xu,&nbsp;Zhaoyuan Wu","doi":"10.1049/rpg2.70059","DOIUrl":"https://doi.org/10.1049/rpg2.70059","url":null,"abstract":"<p>Shared energy storage plays a crucial role in facilitating the low-carbon transition, serving as a flexible resource to mitigate the volatility of renewable energy. However, the core challenge lies in the lack of an effective cost recovery mechanism, which hampers its economic viability. To address this issue, this paper proposes a capacity compensation mechanism that incorporates market-based revenue streams for shared energy storage. By introducing a capacity degradation factor, the mechanism quantifies the actual capacity support capability of storage systems and dynamically adjusts the compensation unit price and total revenue accordingly. The results indicate that the equivalent capacity of shared energy storage is significantly influenced by discharge duration and energy capacity. Doubling the discharge duration increases the equivalent capacity by approximately 10.5%, while the unit price rises by 16.4¥/(kW·year). Furthermore, the integration of market-based revenues enhances the overall economic feasibility of shared energy storage, stimulates investment, and improves the resource flexibility and operational stability of power systems.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70059","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143905059","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}

{"title":"Optimal Sizing of Photovoltaic and Battery Energy Storage for Residential Houses in South Australia by Considering Vehicle-to-Home Operation","authors":"Golsa Azarbakhsh,&nbsp;Amin Mahmoudi,&nbsp;Solmaz Kahourzade,&nbsp;Amirmehdi Yazdani,&nbsp;Apel Mahmud","doi":"10.1049/rpg2.70053","DOIUrl":"https://doi.org/10.1049/rpg2.70053","url":null,"abstract":"<p>This paper presents the optimal sizing of solar photovoltaic (PV) and battery energy storage systems (BESs) for grid-connected houses with electric vehicles (EVs) by considering vehicle-to-home (V2H) operation. To minimise the cost for residential households, particle swarm optimisation (PSO) is utilised, and a novel rule-based home energy management system (HEMS) is implemented. Stochastic functions are used to investigate the uncertainties regarding the availability of EVs based on arrival and departure times and initial state of charge (SOC). The impact of V2H integration, maximum daily energy export, and electricity costs are thoroughly examined through simulations and sensitivity analysis. The simulation results confirm that utilising V2H operation in a grid-connected household can eliminate the need for a BES while still reducing electricity costs about 5% compared to a household equipped with PV, BES, and EV without V2H operation.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70053","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143884234","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}

{"title":"Enhanced Low-Voltage Ride-Through Capability of DFIG by Explicit Model Predict Control Based Decoupled Virtual Impedance","authors":"Jia Luo,&nbsp;Haoran Zhao,&nbsp;Peng Wang","doi":"10.1049/rpg2.70046","DOIUrl":"https://doi.org/10.1049/rpg2.70046","url":null,"abstract":"<p>The power grid requires doubly-fed induction generators (DFIGs) to effectively suppress rotor currents and provide reactive power support during low voltage ride-through (LVRT) events. However, traditional virtual impedance methods struggle to flexibly coordinate different control objectives under various fault conditions, thereby failing to fully realize their control potential. To address this, this paper proposes a decoupled virtual impedance control strategy. Virtual resistance and inductance are independently designed to suppress zero-sequence and negative-sequence overcurrents, achieving effective overcurrent mitigation. Furthermore, explicit model predictive control (E-MPC) is employed to dynamically adjust the virtual impedance values, enhancing the LVRT capability of DFIGs. Additionally, the E-MPC cost function incorporates reactive power support to coordinate current suppression and voltage support. Since the control law of E-MPC is designed offline, the online computation time can be greatly reduced. The proposed strategy is verified by 1.5 MW DFIG model in Matlab/Simulink and experiment. Results show that LVRT performances under diverse fault conditions have been significantly improved.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70046","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143880165","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}

{"title":"Recurrent Neural Network (RNN) Based Algorithm in Multi-Level Control of an Islanded DC Microgrid Connected to Variable Communication Networks","authors":"Hira Anum,&nbsp;Muntazim Abbas Hashmi,&nbsp;Muhammad Umair Shahid,&nbsp;Mohammad R. Altimania,&nbsp;Fares Suliaman Alromithy,&nbsp;Hafiz Mudassir Munir,&nbsp;Muhammad Irfan,&nbsp;Mohsin Jamil","doi":"10.1049/rpg2.70052","DOIUrl":"https://doi.org/10.1049/rpg2.70052","url":null,"abstract":"<p>The utilization of microgrids (MGs) and energy communities has surged in recent years, enabling numerous stakeholders to participate in the power distribution system. Unfortunately, communication infrastructure failures in rural networks has increased the operational blind spots. In the event of a failure, information sharing may be delayed. To address this problem in a multi-feeder MG, a resilient control approach utilizing RNN-based control has been proposed to manage load sharing and voltage regulation during communication delays. A recurrent neural network (RNN) is utilized to optimize the control scheme for the operating direction for each distributed generating point. Traditional control may become unstable during information breaks, but the proposed RNN method improves connectivity during such occurrences. Through this analysis, the research showcased the efficacy of the proposed RNN technique in precisely distributing the load and regulating voltage, particularly during information breaks. The study also confirmed that the RNN strategy is more efficient than conventional control methods. The RNN approach creates a resilient and stable network to information failures, and the study's findings were derived from the detailed mathematical analysis of DC microgrid (DC MG) load conditions and radial networks' uncertain line characteristics.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70052","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877795","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}

{"title":"Efficiency-Oriented Control of LLC Resonant Converter for Grid-Connected Inverter","authors":"Cagdas Hisar,&nbsp;Necmi Altin,&nbsp;Saban Ozdemir,&nbsp;Ibrahim Sefa","doi":"10.1049/rpg2.70050","DOIUrl":"https://doi.org/10.1049/rpg2.70050","url":null,"abstract":"<p>This study proposes an efficiency-oriented control approach for an LLC resonant converter-based high-frequency-link grid-connected inverter. The proposed topology has two stages. In the first stage, the LLC resonant converter generates a rectified sine wave output synchronized with the grid voltage. However, achieving zero gain under this operating condition is a challenge for the LLC resonant converter. To address this, a combination of phase-shift modulation and pulse-frequency modulation is employed without relying on a topology-morphing strategy. This approach enables both zero gain and a wide gain range for the LLC resonant converter. However, integrating two different modulation strategies introduces another challenge. Multiple combinations of phase-shift angles and switching frequency values can yield the same gain. Effectively managing this is crucial to ensure both accurate gain control and optimal system efficiency. Therefore, in the proposed system, a PI controller generates the phase-shift angle value based on the current error. Then, the PSO algorithm dynamically finds the optimal switching frequency value for any instant to maximize efficiency according to the predetermined cost function. This novel efficiency-oriented approach effectively enhances the performance of LLC resonant converters. In the second stage, an unfolder inverter operating at the grid frequency generates a sine wave from the LLC output to achieve grid connection. Since the unfolder operates at the grid frequency, its switching losses are negligible. Experimental results demonstrate that the proposed system successfully tracks reference signals, even under abrupt changes, while maintaining high efficiency under various operating conditions. Additionally, the output current THD remains within internationally specified limits, ensuring compliance with relevant standards.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70050","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143875654","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}

{"title":"Full SiC Three-Level T-Type Quasi-Z Source Inverter as Grid-Forming Unit in Islanded Nanogrid","authors":"Javier Gutiérrez-Escalona,&nbsp;Carlos Roncero-Clemente,&nbsp;Oleksandr Matiushkin,&nbsp;Eva González-Romera,&nbsp;V. Fernão Pires,&nbsp;Enrique Romero-Cadaval","doi":"10.1049/rpg2.70051","DOIUrl":"https://doi.org/10.1049/rpg2.70051","url":null,"abstract":"<p>As the electricity landscape evolves towards greater penetration of renewable energy, voltage source inverters (VSIs) have established themselves as the key power electronics interface between distributed energy resources and the electrical power distribution in modern nanogrids (nGs), capable of working as grid-following (GFL) converters during grid-connected operation and as grid-forming (GFM) converters when islanded. As a relatively recent advanced inverter topology, the three-level T-type quasi-impedance source inverter (3L T-Type qZSI) offers the improved harmonic distortion and lower switching losses characteristic of the three-level T-type topology, combined with the boosting capability of the quasi-impedance source network, all within a single power stage. Despite the many benefits of this topology, neither the use of wide bandgap semiconductors for the power converter design nor the study of its feasibility in an islanded ac nG has been conducted. In this paper, a full silicon carbide (SiC) 3L T-Type qZSI experimental prototype was designed, assembled and tested in the context of an islanded nG with a hierarchical GFM control structure operating at a high switching frequency of 50 kHz. The performance of the 3L T-Type qZSI prototype and the overall nG system was verified by simulation and experimentally.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70051","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871816","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}

{"title":"AI-Enhanced Energy Management Systems for Efficient Flow Control in Microgrids","authors":"Mohammed Amine Hoummadi,&nbsp;Badre Bossoufi,&nbsp;Mohammed Karim,&nbsp;Mohammed Hatatah,&nbsp;Thamer A. H. Alghamdi,&nbsp;Mohammed Alenezi","doi":"10.1049/rpg2.70039","DOIUrl":"https://doi.org/10.1049/rpg2.70039","url":null,"abstract":"<p>This paper has presented a new approach for investigating the potential to rationally use promising sustainable energy sources with highly developed energy management systems integrated into IoT and AI technologies. The empirical analysis was done through a Genetic Algorithm model in Python taken on a typical microgrid system that supplied power to 100 homes at an average of 47 kW. The simulation results show an enormous reduction of waste power in the order of 93%, but at a costlier overall in the microgrid, up by approximately 25%. These results act as strong proof that this integrated approach is technically feasible and economically feasible for the pursuit of efficiency and savings. This study goes further to consider the economic implications of the implementation and maintenance of EMS. It also considers cybersecurity as one of the critical challenges in interconnected microgrids that might influence operational integrity. The research further contributes significantly to knowledge on battery consumption loss and the factors that have to be addressed to avoid negative impacts on the overall system. This research considers a microgrid as a key building block in a flexible and resilient energy infrastructure; its approach covers more than just technical discussions but fosters a broader, transdisciplinary dialogue. In the future, smart EMS integrated with IoT and AI is foreseen to be necessary to enable microgrids to maintain a sustainable and reliable power supply in communities. In short, this article gives fresh guidelines for the development of energy systems that are bound to be not only more efficient but also stable enough to resist any challenge that may come from environmental dynamics. Finally, the article calls upon all researchers, policymakers, and other stakeholders to contribute their quota in shaping the future of energy systems of the 21st century in a way that can help make the energy landscape more sustainable and resilient.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70039","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871867","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}

{"title":"Robust Dynamic State Estimation of Power System With Measurement Outliers Based on Parameterized Analytical Cubature Kalman Filter","authors":"Mingyang Liu,&nbsp;Yanxin Liu,&nbsp;Yi Wang,&nbsp;Venkata Dinavahi,&nbsp;Ze Gao","doi":"10.1049/rpg2.70047","DOIUrl":"https://doi.org/10.1049/rpg2.70047","url":null,"abstract":"<p>Accurate state estimation is paramount for the smooth operation and management of power systems, significantly contributing to their safety, stability, and reliability. However, the presence of channel noise and outliers stemming from phasor measurement units renders as the noise model a deviation from the Gaussian distribution. To mitigate this challenge, this paper introduces a parameterized analytical update cubature Kalman filter (PACKF) that significantly enhances estimation accuracy. Firstly, the updated analytical form of the state variable is derived, in which an unknown parameter is introduced. Secondly, the unknown parameter is approximated using fixed-point iteration, followed by the analytical computation of the required joint posterior probability density function (PDF). Finally, extensive simulations are conducted on the IEEE 39-bus test system, indicating that the proposed method commendable accuracy and efficiency across diverse scenarios.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70047","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143865760","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}