IET Renewable Power Generation最新文献_第3页

Probabilistic Security-Constrained Optimal Power Flow (PSCOPF) Considering a Wide Range of Uncertainties Based on Data Clustering 基于聚类的考虑大范围不确定性的概率安全约束最优潮流(PSCOPF

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2025-05-20 DOI: 10.1049/rpg2.70065

Vahid Askari Ghourttapeh, Reza Ghanizadeh, Mojtaba Beiraghi

{"title":"Probabilistic Security-Constrained Optimal Power Flow (PSCOPF) Considering a Wide Range of Uncertainties Based on Data Clustering","authors":"Vahid Askari Ghourttapeh, Reza Ghanizadeh, Mojtaba Beiraghi","doi":"10.1049/rpg2.70065","DOIUrl":"https://doi.org/10.1049/rpg2.70065","url":null,"abstract":"The optimal power flow (OPF) problem plays a critical role in power system operation and planning. However, the optimal solution derived from OPF may lead to operating limit violations under certain credible contingencies. Enhancing OPF by incorporating additional security constraints to ensure system reliability and security is known as security-constrained OPF (SCOPF). Meanwhile, the increasing integration of wind power generation (WPG) has introduced significant uncertainties into power system operations due to its variable nature. As a result, solutions obtained for the SCOPF problem within a deterministic framework may become invalid when WPG output fluctuates. In such cases, employing an appropriate probabilistic method is essential to effectively account for these uncertainties. This paper introduces a probabilistic framework for solving the SCOPF problem using the data clustering method. Compared to Monte Carlo simulation, this approach offers high speed and good accuracy, making it a practical solution. The primary objective of this study is to balance system security—measured by the expected power not served index—and the expected operational cost. The effectiveness of the proposed framework is validated through IEEE 14-bus and IEEE 57-bus test systems.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70065","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144100603","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

Design of a Combined Heat Store and Heat Exchanger for CAES Systems CAES系统中储热和换热器的组合设计

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2025-05-19 DOI: 10.1049/rpg2.70064

Bruno Cardenas, Seamus Garvey, James Rouse, Zahra Baniamerian, Daniel Pottie, Edward Barbour

{"title":"Design of a Combined Heat Store and Heat Exchanger for CAES Systems","authors":"Bruno Cardenas, Seamus Garvey, James Rouse, Zahra Baniamerian, Daniel Pottie, Edward Barbour","doi":"10.1049/rpg2.70064","DOIUrl":"https://doi.org/10.1049/rpg2.70064","url":null,"abstract":"A combined heat store and heat exchanger unit (HSX) intended for compressed air energy storage (CAES) is presented. The unit is directly charged by the pressurised air emerging from the compression train, which removes the need for a secondary low-pressure air circuit. Salt is used as the thermal storage medium due to its good heat capacity, thermal conductivity, and its ability to accommodate the thermal expansion of the stainless-steel pipes. This paper uses a CAES system (15 MW, 12-h discharge) driven by an offshore wind turbine as a case study. There are not many commercial CAES systems in operation; however, the levelized cost of the heat storage subsystem of a CAES system (i.e. heat store, set of heat exchangers and ancillary low-pressure circuit) ranges between 45 and 48 £/MWh. Findings show that the most cost-effective design for a HSX has a capital cost of ∼£55k. This translates into a levelized cost of storage of ∼31.5 £/MWh. The roundtrip exergy efficiency of this design is 93.7 %. This accounts for heat-exergy and pressure-exergy losses; losses to ambient are not considered. A HSX unit can considerably reduce the overall cost of a CAES system.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70064","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144085284","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

An Online Learning Algorithm for Ultra-Short-Term Load Forecasting in Real-Time Electricity Spot Market Based on Deep Extreme Learning Machine 基于深度极限学习机的实时电力现货市场超短期负荷预测在线学习算法

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2025-05-19 DOI: 10.1049/rpg2.70057

Yi Ding, Chao Pang, Liyong Wei, Jiaqi Shi, Xinzhi Li, Qi Gao, Wenyu Bian, Qiqi Guo, Nian Liu

{"title":"An Online Learning Algorithm for Ultra-Short-Term Load Forecasting in Real-Time Electricity Spot Market Based on Deep Extreme Learning Machine","authors":"Yi Ding, Chao Pang, Liyong Wei, Jiaqi Shi, Xinzhi Li, Qi Gao, Wenyu Bian, Qiqi Guo, Nian Liu","doi":"10.1049/rpg2.70057","DOIUrl":"https://doi.org/10.1049/rpg2.70057","url":null,"abstract":"In the context of the deregulated electricity market, ultra-short-term load forecasting is crucial for market pricing and trading. Accurate forecasting outputs effectively aid market participants in making rational bidding and purchasing decisions. In our paper, an advanced online learning algorithm is introduced for ultra-short-term load forecasting under the background of the real-time electricity spot market, by leveraging an online deep extreme learning machine (DELM) and a heuristic algorithm. Firstly, the abnormal data type in the smart grid is considerably classified into several typical scenarios, and a Fourier residual sequence is deployed to restore incorrect data to the original form. Additionally, DELM is employed as the core online training algorithm to map the relationship between input features and forecasting output by feeding newly generated data. Subsequent optimization of the model hyper parameter is achieved through the lion swarm optimization (LSO) algorithm, which effectively improves the training efficiency and generalization of DELM. The case study shows the superiority of the LSO-DELM over traditional machine learning models on the real-world data in the electricity spot market. The integration of these advanced methodologies significantly enhances the precision and efficiency of the load forecasting task; participants in the electricity spot market are empowered to optimize resource allocation and minimize operational costs.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70057","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144085283","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

Robustly Optimal Operation in Grid-Interactive Efficient Buildings Facilitating Small-Signal Stability 电网交互高效建筑的鲁棒优化运行促进小信号稳定性

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2025-05-15 DOI: 10.1049/rpg2.70056

Jun Wang, Yunhe Hou, Xiaodong Zheng, Nengling Tai, Wei Bao, Weibin Li, Qiyu Lu

{"title":"Robustly Optimal Operation in Grid-Interactive Efficient Buildings Facilitating Small-Signal Stability","authors":"Jun Wang, Yunhe Hou, Xiaodong Zheng, Nengling Tai, Wei Bao, Weibin Li, Qiyu Lu","doi":"10.1049/rpg2.70056","DOIUrl":"https://doi.org/10.1049/rpg2.70056","url":null,"abstract":"Grid-interactive efficient buildings (GEBs) have garnered global attention for their ability to achieve flexible, resilient, and environmentally friendly objectives. However, the increasing integration of renewable energy sources (RESs) introduces challenges which can compromise power system stability. Traditional robust energy management approaches fall short as they fail to address the adverse impacts on small-signal stability. Additionally, the complexity of coordinating diverse devices and their intricate interactions leave the concept of co-optimization in GEBs in its nascent stages. To address these challenges, this paper proposes a robust optimization model for GEBs that minimizes costs while ensuring system stability. The model integrates adjustable droop gains in inverters connected to distributed energy resources (DERs). First, dynamic models for various GEB devices are developed. Next, an hourly optimal power flow problem is formulated using interval predictions for RESs to ensure robustness against uncertainties. Leveraging a polyhedral uncertainty set, the model is solved via a Benders decomposition-based method, incorporating analytical stability sensitivity cuts. Simulations on a 33-bus GEB demonstrate that the proposed model significantly enhances small-signal stability at a relatively low cost, outperforming benchmark models in handling uncertainties. This approach marks a significant step forward in advancing the co-optimization of energy management and stability in GEBs.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70056","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144074265","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

Optimized Sizing of BESS for Primary Frequency Control in a Hybrid O&G FPSO Unit 混合油气FPSO机组主频率控制BESS优化尺寸

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2025-05-14 DOI: 10.1049/rpg2.70061

Cecília B. M. Mufalo, Bruna C. Lima, Liciane Otremba, Renato M. Monaro, Maurício B. C. Salles

{"title":"Optimized Sizing of BESS for Primary Frequency Control in a Hybrid O&G FPSO Unit","authors":"Cecília B. M. Mufalo, Bruna C. Lima, Liciane Otremba, Renato M. Monaro, Maurício B. C. Salles","doi":"10.1049/rpg2.70061","DOIUrl":"https://doi.org/10.1049/rpg2.70061","url":null,"abstract":"The need to reduce emissions in the oil and gas (O&G) sector is boosting studies aiming to integrate renewable energy sources (RES) and replace fossil fuel generation. Several studies address the frequency control in isolated grids. Still, there's a lack of studies focused on frequency support in O&G facilities, where high demand, space, and weight restrictions bring additional challenges. This study proposes an optimization problem based on a penalty cost function to determine the optimal sizing of a battery energy storage system (BESS) for primary frequency support in an floating production and storage offloading (FPSO) unit. A complete and simplified FPSO model is developed, with the latter used in the optimization to reduce simulation time. The results show that the simplified model provides a frequency response similar to the more robust one but with some disparity due to the absence of voltage influence in the system dynamics. This discrepancy between the two systems' response in terms of voltage led to optimized BESS requiring a minimum 7.5% safety margin to ensure frequency stability within established limits during the steady-state period when considering the complete model to validate the results. The BESS power determined through the optimization process shows a 20% reduction in size compared to the value obtained using an analytical methodology.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70061","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143950084","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 Comprehensive Analysis of Potential Revenue and Breakeven Viability of Energy Storage in the Day-Ahead Market of MISO MISO日前市场储能潜在收益与盈亏平衡可行性综合分析

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2025-05-14 DOI: 10.1049/rpg2.70058

Muhammad Zubair, Mateus L. de Sousa, Maurício B. C. Salles

{"title":"A Comprehensive Analysis of Potential Revenue and Breakeven Viability of Energy Storage in the Day-Ahead Market of MISO","authors":"Muhammad Zubair, Mateus L. de Sousa, Maurício B. C. Salles","doi":"10.1049/rpg2.70058","DOIUrl":"https://doi.org/10.1049/rpg2.70058","url":null,"abstract":"This study investigates the economic feasibility of Energy Storage Systems (ESS) in volatile market nodes within the Midcontinent Independent System Operator (MISO). As MISO transitions from a coal-dominant energy mix to a more diverse composition of natural gas and renewables, new arbitrage opportunities for ESS emerge, particularly at nodes like ALTW.SPRVAUN1 and NSP.FRENCH3. Utilizing a linear optimization model with perfect price forecasting, the study estimates the potential arbitrage revenues from these nodes from 2008 to 2014 and then from 2020 to 2022. The sensitivity analysis indicates that current market conditions do not favour immediate profitability for ESS due to high relative battery costs. However, projections up to 2030 reveal a potential shift. With battery costs expected to decrease and electricity price volatility likely to increase due to the growing presence of renewables, the future profitability of ESS appears promising. This is particularly evident in the breakeven analysis, which predicts that NSP.FRENCH3 might reach financial viability before 2030, with ALTW.SPRVAUN1 closely following. Conclusively, the study emphasizes the need for ESS operators to adopt flexible strategies, considering long-term market evolutions. The ongoing shift towards renewable energies in the MISO market suggests an advantageous future for ESS, especially in capitalizing on the forecasted market volatility.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70058","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143950083","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

Numerical Assessment of Vertical Axis Hydrokinetic Turbine Efficiencies With Different Grate Protections 不同篦栅保护下垂直轴水动力水轮机效率的数值评估

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2025-05-09 DOI: 10.1049/rpg2.70060

Derya Karakaya, Sebnem Elçi

{"title":"Numerical Assessment of Vertical Axis Hydrokinetic Turbine Efficiencies With Different Grate Protections","authors":"Derya Karakaya, Sebnem Elçi","doi":"10.1049/rpg2.70060","DOIUrl":"https://doi.org/10.1049/rpg2.70060","url":null,"abstract":"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 (CP) and torque coefficient (CT) 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.","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}

引用次数: 0

Islanding Detection in DC Microgrids Based on Empirical Mode Decomposition 基于经验模态分解的直流微电网孤岛检测

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2025-05-06 DOI: 10.1049/rpg2.70013

Hengameh Chabok, Behrooz Zaker, Haidar Samet

{"title":"Islanding Detection in DC Microgrids Based on Empirical Mode Decomposition","authors":"Hengameh Chabok, Behrooz Zaker, Haidar Samet","doi":"10.1049/rpg2.70013","DOIUrl":"https://doi.org/10.1049/rpg2.70013","url":null,"abstract":"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.","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}

引用次数: 0

Capacity Compensation Mechanism Design for Energy Storage Sharing in New Energy Base 新能源基地储能共享容量补偿机制设计

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2025-05-05 DOI: 10.1049/rpg2.70059

Yan Liang, Ming Zhou, Xue Bai, Hongli Liu, Minru Xu, Zhaoyuan Wu

{"title":"Capacity Compensation Mechanism Design for Energy Storage Sharing in New Energy Base","authors":"Yan Liang, Ming Zhou, Xue Bai, Hongli Liu, Minru Xu, Zhaoyuan Wu","doi":"10.1049/rpg2.70059","DOIUrl":"https://doi.org/10.1049/rpg2.70059","url":null,"abstract":"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.","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}

引用次数: 0

Optimal Sizing of Photovoltaic and Battery Energy Storage for Residential Houses in South Australia by Considering Vehicle-to-Home Operation 考虑车到户运行的南澳大利亚住宅光伏和电池储能的最优规模

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2025-04-29 DOI: 10.1049/rpg2.70053

Golsa Azarbakhsh, Amin Mahmoudi, Solmaz Kahourzade, Amirmehdi Yazdani, Apel Mahmud

引用次数: 0