IET Renewable Power Generation最新文献_第6页

Improving photovoltaic hosting capacity of distribution networks with coordinated inverter control: A case study of the EPRI J1 feeder

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2025-01-28 DOI: 10.1049/rpg2.13181

Dhaval Dalal, Madhura Sondharangalla, Rajapandian Ayyanar, Anamitra Pal

引用次数: 0

DC-link voltage stability enhancement in intermittent microgrids using coordinated reserve energy management strategy

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2025-01-27 DOI: 10.1049/rpg2.13197

Saqif Imtiaz, Lijun Yang, Hafiz Mudassir Munir, Zulfiqar Ali Memon, Heybet Kilic, Muhammad Naveed Naz

{"title":"DC-link voltage stability enhancement in intermittent microgrids using coordinated reserve energy management strategy","authors":"Saqif Imtiaz, Lijun Yang, Hafiz Mudassir Munir, Zulfiqar Ali Memon, Heybet Kilic, Muhammad Naveed Naz","doi":"10.1049/rpg2.13197","DOIUrl":"https://doi.org/10.1049/rpg2.13197","url":null,"abstract":"In recent years, due to its cost effectiveness and environmental advantages, demand for renewable energy resources has grown and their contributions to grid power has therefore increased while requiring effective frequency and voltage regulation. DC link voltage instability is a potential problem in solar energy microgrids, especially during an intermittency, where the system reliability degrades and DC link capacitor is under higher stress. In this article, a novel reserve energy management scheme based on battery and super capacitor storage is presented to stabilize the DC link voltage and reduce capacitor stress, while enhancing the system reliability. The scheme is tested in four different scenarios: Inverter connected DC-microgrid with irradiance intermittencies, standalone DC-microgrid without inverter and irradiance intermittencies, standalone DC-microgrid without inverter and load intermittencies, and standalone DC-microgrid with inverter under irradiance intermittencies. Simulation results indicate that the proposed control strategy stabilizes DC link voltage over all scenarios, even subject to large instances of irradiance or load changes. During low solar irradiance, the battery and super-capacitor promote voltage stability by compensating power deficits from the utility grid in the inverter connected grid case. In stand alone mode, the battery provides power during intermittencies and the supercapacitor provides fast transient voltage compensation. The strategy is notable in reducing stress on DClink capacitors and mitigating inverter voltage fluctuations, ultimately enhancing inverter longevity. The results show that the proposed control scheme can improve voltage stability, mitigate the transient effects and guarantee the reliable operation of solar microgrids in variable conditions.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13197","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143119918","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

Statistical approach to deadband estimation to inform TESS energy specification

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2025-01-24 DOI: 10.1049/rpg2.13183

Yiheng Hu, Nigel Schofield, Nan Zhao

{"title":"Statistical approach to deadband estimation to inform TESS energy specification","authors":"Yiheng Hu, Nigel Schofield, Nan Zhao","doi":"10.1049/rpg2.13183","DOIUrl":"https://doi.org/10.1049/rpg2.13183","url":null,"abstract":"The increasing use of renewable energy and decreasing inertia from large generators necessitate studying transient energy storage systems (TESSs) for better frequency stability. This paper examines UK National Grid data from 2014 to 2022 to propose initial design requirements for a TESS power-train. It assesses second-by-second historical frequency data across various time frames to explore the impact on TESS sizing and strategies using the enhanced frequency response service 1 approach. The results establish an approach for determining the suitable battery energy capacity of TESSs offering frequency control services, contributing to the reduction of power demand and energy losses in the distribution grid. Moreover, the study presents a suitable deadband strategy for the enhanced frequency response service. The findings provide insights into the design and operational needs of TESSs in supporting grid frequency response, utilizing a statistical methodology driven by frequency data from the UK transmission network managed by National Grid Electricity Transmission. The primary aims of the paper are (a) to develop a suitable power and energy management philosophy for TESSs and thus inform future control objectives, and (b) assess the system energy specification requirements.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13183","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143118890","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 active-support control strategy for multi-winding medium-frequency power electronics transformer for renewable generation

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2025-01-22 DOI: 10.1049/rpg2.13196

Xuejiao Li, Jiawei Man, Mingyan Wang, Bingda Zhu, Chuang Liu

引用次数: 0

Individual pitch control for load reduction of offshore wind turbine based on particle swarm optimization and fuzzy logic

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2025-01-20 DOI: 10.1049/rpg2.70000

Chuanzhi Zhang, Yijing Chen, Dawei Zhao, Chunhua Li, Xiaojiang Guo, Jing Bu

{"title":"Individual pitch control for load reduction of offshore wind turbine based on particle swarm optimization and fuzzy logic","authors":"Chuanzhi Zhang, Yijing Chen, Dawei Zhao, Chunhua Li, Xiaojiang Guo, Jing Bu","doi":"10.1049/rpg2.70000","DOIUrl":"https://doi.org/10.1049/rpg2.70000","url":null,"abstract":"As wind turbine grow in size, the uneven distribution of wind speeds within the rotor-wept area results in unbalanced loads, which have become a significant factor affecting wind turbine performance. Load feedback-based individual pitch control (IPC) for wind turbine addresses this issue. However, traditional proportional-integral (PI) controllers may not have optimal proportional and integral coefficients in engineering applications, and fixed-coefficient PI controllers are not ideal for complex operating conditions. Therefore, this paper proposes an offline optimization-online self-correction control method based on particle swarm optimization (PSO) and fuzzy logic. The PSO algorithm is employed offline to minimize unbalanced rotor loads by optimizing the PI coefficients, which are then subjected to online self-correction based on fuzzy logic. Joint simulations using OpenFAST and MATLAB demonstrate that the proposed offline optimization-online self-correction control method enhances the load reduction effectiveness of IPC in wind turbine.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70000","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143117398","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 learning-based energy management strategy for hybrid energy storage systems with compressed air and solid oxide fuel cells

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2025-01-20 DOI: 10.1049/rpg2.13192

Yundie Guan, Xiangyu Zhang, Zheming Liang, Tao Chen

{"title":"A learning-based energy management strategy for hybrid energy storage systems with compressed air and solid oxide fuel cells","authors":"Yundie Guan, Xiangyu Zhang, Zheming Liang, Tao Chen","doi":"10.1049/rpg2.13192","DOIUrl":"https://doi.org/10.1049/rpg2.13192","url":null,"abstract":"The intermittency and volatility of renewable energy have been major challenges in modern power systems. This paper proposes a self-adaptive energy management strategy based on deep reinforcement learning (DRL) to integrate renewable energy sources into a system comprising compressed air energy storage, battery energy storage systems, and solid oxide fuel cells. However, the basic deep deterministic policy gradient algorithm lacks sensitivity to environmental changes, particularly when there is a mismatch in module capacity within the system. This limitation may affect the proper selection of the charging and discharging actions for the hybrid energy storage system. Thus, some modifications are dedicated to the careful replay buffer design in the basic algorithm, improving the ability to identify subtle changes in the reward function. The proposed method is also compared with other DRL methods to validate the feasibility and effectiveness. The simulation results demonstrate the compatibility of the improved algorithm with the proposed energy management strategy and better performance in terms of economic benefits.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13192","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143117445","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

Effective sizing and optimization of hybrid renewable energy sources for micro distributed generation system

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2025-01-16 DOI: 10.1049/rpg2.13193

Shanmuganatha Vadivel Kasi, Narottam Das, Sanath Alahakoon, Nur Hassan

{"title":"Effective sizing and optimization of hybrid renewable energy sources for micro distributed generation system","authors":"Shanmuganatha Vadivel Kasi, Narottam Das, Sanath Alahakoon, Nur Hassan","doi":"10.1049/rpg2.13193","DOIUrl":"https://doi.org/10.1049/rpg2.13193","url":null,"abstract":"Renewable energy sources (RES) are vital for addressing fossil fuel challenges and promoting environmental sustainability by reducing air pollution. Hybrid RES (HRES) in microgrids (MGs) enhance energy efficiency and reliability but face issues like energy management, load demand, and efficiency. Existing research on HRES in MGs often lacks efficiency, reliability, and accuracy. This model proposes a solution using ant lion colony optimization with particle swarm optimization (ALCO-PSO) for Maximum Power Point Tracking (MPPT) to improve power efficiency. The ant colony optimization (ACO) algorithm offers higher efficiency and better global search, but suffers from limitations such as computational complexity and premature convergence. The lion optimization algorithm (LOA) addresses these issues, enhancing the algorithm's robustness. However, ALCO faces challenges like limited scalability and global search ability, which are overcome by integrating particle swarm optimization (PSO). Additionally, direct current (DC) fault detection is enhanced using an artificial neural network (ANN) with solar data. The model's performance is evaluated using power, voltage, and power quality metrics, achieving 99.56% accuracy, faster convergence (0.11 s), an oscillation around 4.25 W, a tracking time of 0.2 s, an interruptible load of 0.009%, cost of energy (COE) of 0.0413%, and a penalty of 0.94 $/kWh.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13193","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143115387","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

Integrating the strategic response of parking lots in active distribution networks: An equilibrium approach

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2025-01-16 DOI: 10.1049/rpg2.13195

Marcos Tostado-Véliz, Rohit Bhakar, Mohammad Sadegh Javadi, Ali Esmaeel Nezhad, Francisco Jurado

{"title":"Integrating the strategic response of parking lots in active distribution networks: An equilibrium approach","authors":"Marcos Tostado-Véliz, Rohit Bhakar, Mohammad Sadegh Javadi, Ali Esmaeel Nezhad, Francisco Jurado","doi":"10.1049/rpg2.13195","DOIUrl":"https://doi.org/10.1049/rpg2.13195","url":null,"abstract":"The increasing penetration of electric vehicles will be accompanied for a wide deployment of charging infrastructures. Large charging demand brings formidable challenges to existing power networks, driving them near to their operational limits. In this regard, it becomes pivotal developing novel energy management strategies for active distribution networks that take into account the strategic behaviour of parking lots. This paper focuses on this issue, developing a novel energy management tool for distribution networks encompassing distributed generators and parking lots. The new proposal casts as a tri-level game equilibrium framework where the profit maximization of lots is implicitly considered, thus ensuring that network-level decisions do not detract the profit of parking owners. The original tri-level model is reduced into a tractable single-level mixed-integer-linear programming by combining equivalent primal-dual and first-order optimality conditions of the distribution network and parking operational models. This way, the model can be solved using off-the-shelf solvers, with superiority against other approaches like metaheuristics. The developed model is validated in well-known 33-, and 85-bus radial distribution systems. Results show that, even under unfavourable conditions with limited distributed generation, charging demand is maximized, thus preserving the interests of parking owners. Moreover, the model is further validated through a number of simulations, showing its effectiveness. Finally, it is demonstrated that the developed tool scales well with the size of the system, easing its implementation in real-life applications.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13195","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143115771","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 method for determining stability range of grid-side converter parameters of PMSG based on negative feedback modelling of phase-locked loop and outer control loop

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2025-01-15 DOI: 10.1049/rpg2.13191

Xumeng Cui, Lei Chen, Yong Min

{"title":"A method for determining stability range of grid-side converter parameters of PMSG based on negative feedback modelling of phase-locked loop and outer control loop","authors":"Xumeng Cui, Lei Chen, Yong Min","doi":"10.1049/rpg2.13191","DOIUrl":"https://doi.org/10.1049/rpg2.13191","url":null,"abstract":"Direct-drive wind farms are integrated into power grid through power electronic devices, extensively utilizing voltage source converters (VSCs) for grid connection, which has precipitated frequent stability challenges within the grid integration systems of wind farms; it is imperative to properly tune the VSC parameters consequently. In grid-connected VSC system, the interaction between phase-locked loop (PLL) and outer control loop (OCL) has a significant impact on system stability. Therefore, it is essential to account for the interactions when establishing the stability boundaries for VSC parameters. This article proposes a new method to determine the parameter stability range in grid-side converter of direct-drive permanent magnet synchronous generator (PMSG), based on the interactions between PLL and OCL. This method simplifies the modelling process and improves the accuracy of stability range calculations compared to traditional methods. The system is modelled as a negative feedback system with PLL as the forward path and OCL as the feedback path. Both paths include grid dynamics. This modelling approach not only captures the interaction between PLL and OCL, but is also straightforward and clear. Using the Bode diagram, stability mechanism of the system considering interaction between PLL and OCL is studied. The VSC parameter stability criterion of the system is analysed based on the open-loop frequency characteristics of the system. Then an analytical description of the stability range for parameters is provided. Simulation results confirm the effectiveness of our proposed method.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13191","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143115121","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

Voltage support strength analysis and stability control strategy for grid-forming wind power transmission system

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2025-01-15 DOI: 10.1049/rpg2.13194

Xiangyu Zhang, Jiahui Wu, Yuan Fu

引用次数: 0