IET Renewable Power Generation最新文献

{"title":"A Coupling-Factor-Based Nonlinear Decoupling Method for Transient Operation Analysis of LCL-Filtered Grid-Connected VSC","authors":"Pengcheng Yang,&nbsp;Hongda Cai,&nbsp;Jing Li,&nbsp;Yue Li","doi":"10.1049/rpg2.70090","DOIUrl":"https://doi.org/10.1049/rpg2.70090","url":null,"abstract":"<p>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.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"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}

{"title":"Distributed Optimization Dispatch Strategy for Electricity-Gas Coupled System","authors":"Rongqiang Guan,&nbsp;Xiaoguang Li,&nbsp;Pingping Xiao,&nbsp;Rufei Ren","doi":"10.1049/rpg2.70077","DOIUrl":"https://doi.org/10.1049/rpg2.70077","url":null,"abstract":"<p>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.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"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}

{"title":"HVDC System Energization via Grid-forming Offshore Wind Turbines: Sensitivity Analysis and Technical Requirements","authors":"Christopher Klein,&nbsp;Patrick Düllmann,&nbsp;Lars Osterkamp,&nbsp;Niclas Corte,&nbsp;Philipp Ruffing,&nbsp;Mian Wang,&nbsp;Daniel Yates,&nbsp;Ciara Ritson-Courtney,&nbsp;Willem Leterme","doi":"10.1049/rpg2.70068","DOIUrl":"https://doi.org/10.1049/rpg2.70068","url":null,"abstract":"<p>Renewable energy sources (RES), especially HVDC-connected wind power plants (WPP), have been put into focus to provide services for the onshore grid, such as black-start. To achieve black-start capability, new requirements are imposed on the controls, requiring grid-forming capability for the offshore WPP as well as for the onshore HVDC converter. Recent publications have shown the general feasibility of grid-forming WPPs for black-starting HVDC links, but focus on single aspects of the energization or rely on simplified wind farm, converter, or control models. Until now, important aspects such as the influence of converter or WPP design, as well as a derivation of the requirements posed on the different components for each step of the black-start have not yet been analysed. This paper fills these gaps through an in-depth analysis of the entire energization process, considering different startup methods with a close-to-real converter design. From the investigations, technical requirements for black-start capable HVDC-connected offshore WPPs are derived. The energization of the HVDC system was found to pose the highest requirements on active power availability of the WPP, independently of the chosen startup method. For the WPP energization, reactive power was found to be the main system design factor.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70068","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144482199","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":"Recent Applications of Power Electronics & Drives in Renewable Power Generation","authors":"Khadim Moin Siddiqui,&nbsp;Sanjeevikumar Padmanaban,&nbsp;Mohamed Benbouzid,&nbsp;Ram Khelawan Saket,&nbsp;Pooya Davari,&nbsp;Hafiz Ahmad,&nbsp;Farhad Ilahi Bakhsh,&nbsp;Ganesh Kumar Venayagamoorthy,&nbsp;Korhan Cengiz,&nbsp;John D. McDonald","doi":"10.1049/rpg2.70088","DOIUrl":"https://doi.org/10.1049/rpg2.70088","url":null,"abstract":"&lt;p&gt;Renewable energy systems (RESs) are becoming increasingly popular for power generation because they are clean and can meet power demand at the local level. It reduces bottlenecks in the power grid and also reduces the dependency from hydro and thermal power plants for the optimal power flow management. Worldwide, at least a 20% penetration of distributed RESs is considered necessary over the next decade. The intermittent nature of RESs results in systems with delays in dynamics, non-linearties, power quality issues, etc. Over the last few decades, power quality issues have become increasingly important in grid-connected renewable energy systems. In addition to the intermittent nature of RESs, the widespread use of non-linear electronic devices further complicates the problem. With the advent of power electronic converters with robust control technology, RESs can be massively connected to the grid for power supply or used as stand-alone systems in remote location. Using more efficient control strategies not only improves the performance of these systems, but also improves power quality during generation, distribution, and consumption on the consumer side of utility systems.&lt;/p&gt;&lt;p&gt;The ever-declining fossil fuel resources and the increasing concerns for the environment have led to intensive research into the generation and use of RESs. Innovative processes for generating and using renewable energy are becoming increasingly attractive. Many applications integrate renewable energy sources into existing utility grids, micro-grids, or isolated loads. Power electronics and drives are one of the most important components of modern renewable energy system applications. Increased efficiency and electro-mechanical robustness of power semiconductors can improve many types of power conversion and generation. This has also led to the developments of electric vehicles and energy storage systems that are largely integrated with RESs.&lt;/p&gt;&lt;p&gt;In this special issue titled “Recent Applications of Power Electronics &amp; Drives in Renewable Power Generation”, the utilization of advanced power electronics and drives technology for facilitating renewable power generation has been focused on.&lt;/p&gt;&lt;p&gt;In this special issue, we had received large number of papers and out of those only 14 research papers have been accepted. The editorial board has selected research papers with utmost care and believes that all the research papers will be highly useful for academic fraternity to all over the world. The editorial has made great efforts to choose high quality research papers and feel that all the selected research papers will keep high impact. The research papers have been classified in the 7 parts and which are as follows:&lt;/p&gt;&lt;p&gt;This special issue deals with the contemporary applications of power electronics and drives in renewable power generation. All the selected research papers are based on advanced applications of power electronics and drives. The research papers have be","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70088","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331917","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":"Collaborative Energy Schedule of Highway Cluster Microgrids Considering SPEV and Portable Battery Packs Operation Flexibility","authors":"Shiwei Xia,&nbsp;Zizheng Wang,&nbsp;Yidan Wang,&nbsp;Mingfei Ban,&nbsp;Ye Tian,&nbsp;Jelena Stojković Terzić,&nbsp;Xi Lu","doi":"10.1049/rpg2.70080","DOIUrl":"https://doi.org/10.1049/rpg2.70080","url":null,"abstract":"<p>This paper presents a strategic method for optimizing energy distribution in highway cluster microgrids. It employs a model that synchronizes the energy usage of shared power-exchanging vehicles (SPEVs) with their spatial and temporal dynamics, while prioritizing the operational safety of the microgrids. The strategy begins with applying the DistFlow power flow equation to define the microgrid's voltage and line capacity limits, aligning the energy use of SPEVs and battery packs both temporally and spatially. A comprehensive cost analysis is then conducted, covering aspects like line losses, unit start–stop expenses, and carbon emission costs. Following this, we develop an energy-scheduling model tailored for highway microgrids, which upholds operational safety and promotes energy sharing among the grid. A case study illustrates the effectiveness of this strategy, showing it not only optimizes SPEV routes and power outputs from distributed generators and battery packs but also achieves cost-effective, efficient, and eco-friendly energy use in highway microgrids.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70080","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144323417","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":"A Two-Stage Strategy for Black-Start Restoration by Coordinating Deep Reinforcement Learning and Mixed-Integer Linear Programming","authors":"Lingyu Liang,&nbsp;Huanming Zhang,&nbsp;Wencong Xiao,&nbsp;Xiangyu Zhao,&nbsp;Junbin Chen,&nbsp;Shang Cao,&nbsp;Tao Yu,&nbsp;Hanju Li","doi":"10.1049/rpg2.70081","DOIUrl":"https://doi.org/10.1049/rpg2.70081","url":null,"abstract":"<p>Extreme events can lead to extensive blackouts, emphasising the crucial significance of power system black-start restoration. In this paper, a two-stage strategy coordinating deep reinforcement learning (DRL) and mixed-integer linear programming (MILP) for power system black-start restoration is proposed. In the first stage, a convolutional neural network-based (CNN-based) invalid action masking assisted proximal policy optimisation (CI-PPO) algorithm is developed to determine component connections. Furthermore, a MILP model for optimal power dispatch is formulated with the objective of minimising generation costs in the second stage. The effectiveness of the proposed method is validated using the New England 10-unit 39-bus power system. The results show strong learning ability and computational efficiency for varying system conditions.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70081","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144309159","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":"Mathematical Model of Year-Round Renewable Energy Time Series for Power System Planning Based on Multiple Seasonal-Trend Decomposition Using the LOESS and Ito Stochastic Process","authors":"Yijia Zhou,&nbsp;Mingyu Yan,&nbsp;Hongyi Peng","doi":"10.1049/rpg2.70084","DOIUrl":"https://doi.org/10.1049/rpg2.70084","url":null,"abstract":"<p>Generating year-round renewable energy time series with hourly resolution is important for power system planning. This paper provides the characteristic analysis method and mathematical model of the year-round renewable energy time series. First, the multiple seasonal-trend decomposition using the LOESS (MSTL) method is adopted to decouple the historical renewable energy time series into trend, annual, seasonal, and residual components. The annual and seasonal components are repeating cycles, while the trend and residual components are time-dependent stochastic time series. To build the mathematical model for trend and residual components, the mixed Gaussian distribution model is applied to simulate the probabilistic distribution of trend and residual components. Based on these probabilistic distribution functions, the Ito stochastic process is applied to generate massive time series considering the stochastic and temporal dependent characteristics of the primal time series. A discretization formulation of the Ito stochastic process is provided so that the Ito stochastic process can be applied in renewable energy time series generation. The relationship between the drift and diffusion function used in the Ito stochastic process is depicted. Numerical results illustrate that the proposed method could effectively identify the characteristics of renewable energy time series and generate massive similar renewable energy time series for power system planning.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70084","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144309074","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":"Multi-Step Prediction Method for Wind Power: A Framework Integrating CNN–RNN–LGBM Models","authors":"Wenchuan Meng,&nbsp;Zaimin Yang,&nbsp;Zhi Rao,&nbsp;Siyang Sun,&nbsp;Yixin Zhuo,&nbsp;Junjie Zhong,&nbsp;Sheng Su","doi":"10.1049/rpg2.70079","DOIUrl":"https://doi.org/10.1049/rpg2.70079","url":null,"abstract":"<p>Wind power prediction plays a significant role in enhancing the effectiveness of power system operation and decision-making. Given the inherent stochastic nature of meteorological events, achieving highly accurate forecasts for wind power poses considerable challenges. To address this challenge, this paper initially leverages the time series learning capability of recurrent neural networks (RNN) to extract sequential information from historical wind power data. Subsequently, the information extracted from the convolutional layer is transferred to the light gradient boosting machine (LGBM), utilizing the feature extraction capability of convolutional neural networks (CNN). Furthermore, an optimal weighted combination is employed for the short-term prediction of wind power. Finally, a multi-step wind power prediction method of integrated CNN–RNN–LGBM is proposed in this paper. Simulation results demonstrate that the proposed CNN–RNN–LGBM framework outperforms other models during global training. Meanwhile, transferring the information from CNN to LGBM can improve its performance, proving the feature extraction ability of CNN.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70079","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144309075","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":"Demand response capability assessment method for intelligent buildings based on recursive least squares estimation","authors":"Chen Li,&nbsp;Mingze Tong,&nbsp;Zhibin Ma,&nbsp;Shiwei Xia,&nbsp;Peng Wang,&nbsp;Qing Ge,&nbsp;Yukai Li","doi":"10.1049/rpg2.13060","DOIUrl":"https://doi.org/10.1049/rpg2.13060","url":null,"abstract":"<p>Fully tapping adjustable load demand response capabilities is necessary to guide massive and dispersed demand-side resources to participate in power dispatching operations. This study considers intelligent buildings (IBS) as the research object and proposes an adjustable load demand response capability assessment method. First, response capability assessment indicators, including adjustment power, adjustment response time, and adjustment sustainable time, are established based on the technical characteristics of adjustable loads. Second, the heating, ventilation, and air conditioning system model is established for IBS. Based on this, an intelligent building is used as an adjustable load unit for parameter identification using the recursive least squares estimation method. Finally, the response capability of the intelligent building is assessed based on the identified data and established response capability assessment indicators that can provide support for power dispatch.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13060","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144256403","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":"Correction to “Active and Reactive Power Coordinated Optimization of Active Distribution Networks Considering Dynamic Reconfiguration and SOP”","authors":"","doi":"10.1049/rpg2.70076","DOIUrl":"https://doi.org/10.1049/rpg2.70076","url":null,"abstract":"<p>C. Li, Y. Dai, P. Wang, and S. Xia, “Active and Reactive Power Coordinated Optimization of Active Distribution Networks Considering Dynamic Reconfiguration and SOP,” IET Renewable Power Generation 00, (2023): 1–12. https://doi.org/10.1049/rpg2.12814</p><p>The authors’ contributions for the paper were not listed accurately. The accurate author contributions are listed as follows:</p><p><b>Chen Li</b>: conceptualization, data curation, formal analysis, investigation, methodology, software, writing – original draft, writing – review and editing.</p><p><b>Yao Dai</b>: conceptualization, investigation, methodology, software, validation, writing – original draft, writing – review and editing.</p><p><b>Peng Wang</b>: conceptualization, project administration, supervision, writing – review and editing.</p><p><b>Shiwei Xia</b>: conceptualization, funding acquisition, resources, software, validation, visualization, writing – review and editing.</p><p>The authors apologize for this error.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70076","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144244905","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}