IET Renewable Power Generation最新文献

{"title":"Construction and Comparison of Models With Different Time Scales For Offshore DC Wind Turbine Using LLC Resonant Converter","authors":"Yujie Ning,&nbsp;Yijing Chen,&nbsp;Dawei Zhao,&nbsp;Chunhua Li,&nbsp;Xiaojiang Guo,&nbsp;Dongdong Zhou","doi":"10.1049/rpg2.70116","DOIUrl":"10.1049/rpg2.70116","url":null,"abstract":"<p>Constructing an all-DC offshore wind farm with DC power generation, DC collection, and DC transmission is an important direction for the development of offshore wind power. The offshore DC wind turbine generator is the core equipment of the all-DC wind farm, and establishing its simulation models at different time scales is of great significance for conducting source-grid coordinated research. Currently, worldwide, the all-DC offshore wind farm is still in the research and development stage, with no actual engineering applications yet. Existing research mostly focuses on the topology of high-capacity DC/DC converters suitable for offshore DC wind turbines, often only paying attention to the control characteristics of the DC/DC converter, lacking research on the overall control strategy and the simulation model of the offshore DC wind turbine. This paper first compares several typical schemes of DC collection for offshore DC wind farms, pointing out that the parallel two-stage voltage boost scheme is the most technically and economically viable at this stage. It then selects a modular combination-type DC/DC converter topology based on the LLC resonant converter, presents the complete structure of the offshore DC wind turbine using this topology, establishes an electromagnetic transient model of the offshore DC wind turbine based on the LLC resonant converter, and designs its control strategy under small and large disturbances. Through simulation examples, the model's ability to maximize wind energy capture during normal operation and ensure safe and stable operation during faults is verified. Subsequently, based on the average models of the AC/DC converter and the DC/DC converter, an electromechanical transient model of the offshore DC wind turbine is established, its control strategy is designed, and the accuracy of the electromechanical transient model is verified by comparing the simulation results with those of the electromagnetic transient model. Finally, the paper presents the different application scenarios of the two established models at different time scales in the grid-connected operation research of the offshore DC wind power system and looks forward to the future research focus. The research in this paper can provide a certain reference for the field of modelling and analysis techniques for grid-connected offshore DC wind power systems.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70116","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145128935","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 Novel Uncertainty Management Method for Economic and Environmental Assessment of Gas-Electricity Networks in the Presence of Flexible Resources","authors":"Amir Talebi,&nbsp;Ahmad Sadeghi-Yazdankhah","doi":"10.1049/rpg2.70113","DOIUrl":"10.1049/rpg2.70113","url":null,"abstract":"<p>Due to the low emission production and the fast-response nature of natural gas-fired units (NGFUs), installation of these generators has increased in the electricity system, and as a result, the interdependency of gas and electricity systems has intensified. However, uncertainties have brought new challenges to the coordinated operation of the two systems. This paper proposes a new tri-layer model to include uncertainties in the coordinated scheduling of gas-electricity networks. In the first layer, wind uncertainty is handled through the stochastic method. In the second layer, the IGDT method is used to manage electrical load uncertainty, and in the third layer, the optimal values for the objective functions of the previous two layers are simultaneously derived by the fuzzy method. Also, three practical solutions (flexible resources) are provided to increase gas network flexibility: (1) using natural gas storage, (2) implementing a demand response program in the gas network and (3) using the generators with the ability to change their fuel (dual-fuel generators). Also, carbon capture systems (CCS) are integrated with traditional units to decrease emissions of these generators. Numerical tests illustrate that the simultaneous use of flexible resources alongside CCS leads to more reduction in the total cost and emission, and prevents load shedding in the operation of gas-electricity networks. As well, with this new hybrid fuzzy-IGDT-stochastic model, both the objective function and uncertainty radius are optimised.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70113","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144782675","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":"Power Dispatching Method for a De-Loading Operated Wind Farm Participating in Power System Frequency Regulation Considering Wake Effect","authors":"Taiying Zheng,&nbsp;Zhaoji Liu","doi":"10.1049/rpg2.70110","DOIUrl":"10.1049/rpg2.70110","url":null,"abstract":"<p>Under the guidance of the ‘dual carbon’ goals, the installed capacity of wind power continues to grow, increasing wind power penetration levels (WPPLs) and posing challenges to system frequency stability. Therefore, it is essential to study the control of wind farms operating in de-loading mode to participate in system frequency regulation (SFR). This paper proposes a power dispatching method for a de-loading operated wind farm that participates in power SFR considering the wake effect. It begins by grouping wind turbines (WTs) considering the wind's incoming angle and wake effects, which simplifies computational needs compared with controlling individual WTs. The method sets a priority for power distribution to maximise the use of WTs’ overspeed de-loading capacity, effectively increasing rotor kinetic energy and reducing pitch angle adjustments. This approach avoids complex optimisations and wind speed measurement for each WT, significantly boosting system robustness. To assess the effectiveness of this method, simulations using the EMTP-RV simulator were conducted under various wind speed angles, disturbance levels and WPPLs. The results indicate that the proposed strategy enhances the WF's ability to regulate system frequency and decreases the need for pitch adjustments.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70110","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144725426","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-Layered Optimization for Adaptive Decoy Placement in Cyber-Resilient Power Systems Under Uncertain Attack Scenarios","authors":"Hua Dong,&nbsp;Zhao Wei,&nbsp;Cui Peiyi,&nbsp;Liu Yiqing,&nbsp;Hua Hua","doi":"10.1049/rpg2.70078","DOIUrl":"10.1049/rpg2.70078","url":null,"abstract":"<p>The increasing reliance on digital infrastructures in power systems, combined with the rising penetration of renewable energy sources (RES), has heightened their vulnerability to sophisticated cyber-physical attacks, particularly false data injection a ttacks (FDIAs). These attacks exploit state estimation processes to disrupt grid operations while remaining undetected. This paper presents a novel multi-layered optimization framework to enhance the resilience of cyber-physical power systems against FDIAs under uncertain attack scenarios. The framework employs a tri-level Stackelberg optimization approach to model the interactions between defenders, attackers, and system operations. The defender's strategy focuses on optimal resource allocation and adaptive decoy placement to misdirect attacker efforts while minimizing operational costs. The middle level simulates attacker strategies using generative adversarial networks (GANs) to generate stealthy and adaptive attack vectors. The lower level incorporates physical and operational constraints of the grid, ensuring realistic scenario modeling. Advanced methodologies, including multi-agent deep reinforcement learning (MADRL), Bayesian inference, and distributionally robust optimization, are integrated to address dynamic uncertainties and evolving attack patterns. The proposed framework is validated on a modified IEEE 123-bus system with synthesized attack scenarios, demonstrating significant improvements in grid resilience. Results indicate an average reduction in attack success rates by 40% and an enhancement in resilience metrics by 35%, achieved through optimized defense budget allocation and adaptive decoy strategies. This research contributes to the field by bridging game theory, robust optimization, and machine learning, offering a comprehensive solution to ensure the security and reliability of modern power systems under extreme cyber-physical threats.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70078","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144716481","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":"Control-Oriented Modelling and Adaptive Parameter Estimation for Hybrid Wind-Wave Energy Systems","authors":"Yingbo Huang,&nbsp;Bozhong Yuan,&nbsp;Haoran He,&nbsp;Jing Na,&nbsp;Yu Feng,&nbsp;Guang Li,&nbsp;Jing Zhao,&nbsp;Pak Kin Wong,&nbsp;Lin Cui","doi":"10.1049/rpg2.70104","DOIUrl":"10.1049/rpg2.70104","url":null,"abstract":"<p>Hybrid wind-wave energy systems, integrating floating offshore wind turbine (FOWT) and wave energy converters (WECs), have received much attention in recent years due to its potential benefits in increasing the power harvesting density and reducing the levelized cost of electricity (LCOE). Recent studies show that advanced model-based control strategies have the great potential to significantly improve their overall control performance. However, the performance of these advanced control strategies relies on the computationally efficient control-oriented models with sufficient fidelity, which are normally difficult to derive due to the complexity of the hydro-, aero-dynamic effects and the couplings. In most available results, the hybrid wind-wave energy system models are established by using the boundary element method (BEM), devoting to understanding the hydrodynamic responses and performance analysis. However, such models are complex and involved in relatively heavy computational burden, which cannot be directly used for the advanced model-based control methods in practice. To overcome this issue, this paper proposes a control-oriented model of the hybrid wind-wave energy system with six degrees of freedom (DOFs). First, the Newton's second law and fluid mechanics are employed to characterize the motion behavior of the hybrid wind-wave energy system with the coupled aero-hydro-mooring dynamics. Then, a novel adaptive parameter estimation algorithm with simple low-pass filter approach is developed to estimate the system unknown coefficients. Different from the conventional parameter estimation methods, such as gradient descent method and recursive least-squares (RLS) method, the estimated parameters can be driven to their true values with guaranteed convergence. Finally, numerical analysis using the AQWA and MATLAB are applied to validate the fidelity of the control-oriented model under different wind and wave conditions. The results indicate that the control-oriented model predicts the motion response accurately in comparison to the BEM-based model. Overall, the results pave the way for designing advanced hybrid wind-wave energy system control method.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70104","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144712122","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":"Application of Superconducting Magnetic Energy Storage to Compensate the Pitch System Delay in Output Power Smoothing of Wind Turbines","authors":"Seyed Yaser Ebrahimi,&nbsp;Gholam Hossein Riahy Dehkordi","doi":"10.1049/rpg2.70107","DOIUrl":"10.1049/rpg2.70107","url":null,"abstract":"<p>Wind power is one of the most widely available renewable energy sources (RES). However, due to the intermittent nature of wind, the output power of wind turbines (WTs) is always variable. In WTs, at speeds lower than the rated wind speed, the goal is to maximise the power extracted from the wind. At higher wind speeds, the goal is to keep the WT's power constant at rated value; that is typically done by the WT's pitch control system. The operation of the pitch system has a delay due to WT's blades and rotor inertia and limited pitch rate, which may lead to output power fluctuations. Superconducting magnetic energy storage (SMES) has fast response and high efficiency. This paper explores the application of SMES to compensate for the pitch system delay in output power smoothing of a permanent magnet synchronous generator (PMSG)-based WT. It is verified that the SMES properly compensates for the pitch lag by absorbing the surplus power and releasing it at power shortage intervals, particularly when pitch control returns the blades to their initial position. In the meantime, the pitch system reduces the SMES coil current and prevents it from saturation, which allows selecting an optimal/practical coil size for the SMES.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70107","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144705367","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":"Renewable Energy Integration into Industrial and Residential Buildings: A Study Across Urban, Rural, and Coastal Areas","authors":"Mohammad Ghiasi,&nbsp;Vahed Ghiasi,&nbsp;Pierluigi Siano","doi":"10.1049/rpg2.70108","DOIUrl":"10.1049/rpg2.70108","url":null,"abstract":"<p>Integrating renewable energy sources (RES) into buildings is one of the most important approaches to achieving sustainable energy systems. This paper presents a comprehensive study that evaluates the performance of RES such as photovoltaic (PV), wind, geothermal and biomass in different urban, rural, and coastal scenarios. In this paper, we analyze four types of buildings, including single-family residential, multi-family residential, commercial, and industrial, and evaluate the contribution of energy, supply and demand dynamics, and geographical influences on the performance of renewable energy (RE). Various results such as cost analysis and payback periods for different RESs, technical specifications, RES performance, state of charge (SoC) of the battery system, seasonal performance of RES in various geographic settings, carbon footprint of RES, and fossil fuel-based power generation, supply chain risks, and resilience of RES technologies are obtained and discussed in detail. In addition, PV energy outperforms urban residential buildings due to its high availability on roofs. In coastal areas, wind energy can provide an acceptable amount of energy to industrial buildings. Biomass energy accounts for the lowest energy production in all buildings and locations. In all scenarios, geothermal energy can provide more consistent and sustainable baseload energy and complement the variable outputs of PV and wind. The results show that the interaction between RES provides a more reliable energy supply, reduces dependence on grid energy, and improves sustainability. This study emphasizes the importance of adapting the RE integration methods to the geographical and specific characteristics of the buildings. These results can provide better information for energy and building planners who want to use RE systems and achieve better environmental goals.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70108","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144712123","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":"Comprehensive Optimization Model for Energy Hubs in Urban Distribution Networks, Considering Traffic Flow and Electric Vehicle Charging","authors":"Mohammad Hasan Hemmatpour,&nbsp;Seyyed Mohammad Hosseini Ghiri,&nbsp;Mohsen Zare","doi":"10.1049/rpg2.70109","DOIUrl":"10.1049/rpg2.70109","url":null,"abstract":"<p>This paper presents a comprehensive model for optimally planning electricity and gas distribution networks, integrating energy hubs (EHs) and electric vehicle (EV) charging infrastructure. The goal of the model is to minimize total investment costs and decrease energy purchases from upstream networks. This is achieved by utilizing equipment such as combined heat and power (CHP) units, power-to-gas (P2G) systems, gas-fired (GF) units, wind turbines, and fast charging stations (FCS). The proposed framework models the flow of electricity, gas, and heat energy based on urban transportation traffic and employs the particle swarm optimization (PSO) algorithm for problem-solving. Different scenarios are designed to evaluate the impact of electrical and thermal loads, as well as the presence or absence of fast chargers in the network. Numerical results from a network consisting of 33 power distribution buses and 20 gas nodes indicate that implementing EHs and optimizing the combination of generation resources significantly reduces overall costs, enhances network stability, and decreases dependency on upstream networks. Furthermore, the third scenario, which simultaneously leverages thermal loads, fast chargers, and distributed generation resources, demonstrates superior economic, environmental, and technical performance compared to the other scenarios.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70109","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144712121","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":"An Analysis of South Africa's Diurnal Energy Distribution Towards a Strategy on LV Storage","authors":"Franck C. Mushid,&nbsp;Mohamed F. Khan","doi":"10.1049/rpg2.70106","DOIUrl":"10.1049/rpg2.70106","url":null,"abstract":"<p>This study investigates South Africa's energy distribution patterns and examines the potential of low-voltage (LV) energy storage to address energy challenges. The research aims to formulate a strategic framework for implementing LV storage technologies by examining diurnal energy fluctuations. Insights drawn from this analysis can inform policymakers and stakeholders in optimising energy management, enhancing grid stability and promoting sustainable development within the South African energy landscape. This paper employs data from the South African National Electricity Utility (Eskom) from 2019 to 2023 to generate the load demand's diurnal, monthly and yearly variations and corresponding irradiance variation. The distribution of irradiance less the load demand is employed to design the optimal energy storage capacity within the LV networks that considers the different load shedding levels presently being experienced in South Africa.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70106","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144712126","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 Fast and Efficient MPPT Technique Based on Voltage Transients for PV Systems Under Partial Shading Conditions","authors":"Resat Celikel,&nbsp;Musa Yilmaz","doi":"10.1049/rpg2.70099","DOIUrl":"10.1049/rpg2.70099","url":null,"abstract":"<p>Obtaining maximum power from photovoltaic (PV) systems operating under partial shading conditions (PSC) is quite challenging. Maximum power point tracking (MPPT) algorithms are necessary to extract the maximum power from the PV system in a very short time with minimal error. In this study, a high-efficiency MPPT algorithm with fast tracking speed is proposed for PV systems operating under PSC. The proposed algorithm utilizes the charging behavior of the capacitor between the PV system and the DC-DC converter. The P–V curve of the PV system is obtained either when the system is initially energized or during the capacitor charging phase following discharge. The voltage corresponding to the maximum power point is then determined, and the PV system is operated at this voltage until a change in power is detected. The proposed method was tested on a 2 kW PV system modeled in the MATLAB/Simulink environment. Power outputs and tracking times were evaluated under six different challenging PSC scenarios. As a result of the simulations, the average efficiency across the six PSC cases was 99.678%, while the average tracking time was 0.013 s.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70099","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144688037","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}