IET Renewable Power Generation最新文献_第10页

Distributed multi-layer control of hybrid AC/DC grids: Design and experimental validation 交直流混合电网的分布式多层控制：设计与实验验证

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2024-11-21 DOI: 10.1049/rpg2.13161

Riccardo Lazzari, Alessio La Bella

{"title":"Distributed multi-layer control of hybrid AC/DC grids: Design and experimental validation","authors":"Riccardo Lazzari, Alessio La Bella","doi":"10.1049/rpg2.13161","DOIUrl":"https://doi.org/10.1049/rpg2.13161","url":null,"abstract":"As the electrical system becomes more and more decentralized, new control algorithms are necessary to manage the intermittent and non-deterministic production of non-programmable renewable sources, as well as the consumption of new loads like electric vehicles and heat pumps. Traditionally, electrical networks are controlled centrally, which provides full controllability of the system but introduces issues on scalability and complexity. This paper proposes a distributed multilayer control scheme based on model predictive control (MPC) applied to different portions of an electrical grid, optimizing power exchanges for balancing services. The first layer comprises local decentralized MPC controllers managing their areas, while the high-level distributed supervisor layer coordinates the exchange of flexibility between the network areas by acting on AC/DC converters. The overall distributed control architecture is applied and experimentally validated through the distributed energy resources test facility of RSE, showing enhanced performances in terms of prompt control action and compensation of the power disturbances.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 S1","pages":"4414-4425"},"PeriodicalIF":2.6,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13161","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143252942","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

Advanced exergy analysis and performance enhancement of air-cooled solar recompression supercritical carbon dioxide systems 先进的气冷太阳能再压缩超临界二氧化碳系统的火用分析和性能增强

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2024-11-21 DOI: 10.1049/rpg2.13163

Amin Atarzadeh, Mehran Ameri, Ebrahim Jahanshahi Javaran

{"title":"Advanced exergy analysis and performance enhancement of air-cooled solar recompression supercritical carbon dioxide systems","authors":"Amin Atarzadeh, Mehran Ameri, Ebrahim Jahanshahi Javaran","doi":"10.1049/rpg2.13163","DOIUrl":"https://doi.org/10.1049/rpg2.13163","url":null,"abstract":"This study advances the efficiency of a recompression power generation cycle using supercritical carbon dioxide, leveraging solar energy as a sustainable alternative to fossil fuels. It is the first to uniquely address the performance of air-cooled solar recompression cycles by evaluating both the heat and cooling source. Traditional water and cooling towers are replaced with air and fans to conserve water and enhance cooling efficiency. The study employs advanced exergy analysis to identify optimization strategies and reduce exergy destruction. The baseline system “System A” identifies the precooler and main compressor as key areas for improvement. Two novel systems are proposed: “System B,” which integrates an intercooler and a secondary compressor to significantly cut exergy losses, and “System C,” which uses a single-effect absorption refrigeration cycle to further reduce exergy destruction. The results show an increase in energy efficiency and exergy efficiency from 23.24% in System A to 25.72% in System B and 24.28% in System C. Advanced exergy analysis reveals that, although the central receiver and high-temperature recuperator are major sources of exergy destruction, the heliostat and low-temperature recuperator are crucial for system optimization. This study's unique approach combines comprehensive exergy analysis with innovative system proposals based on the results.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 S1","pages":"4497-4518"},"PeriodicalIF":2.6,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13163","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143252940","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

Modeling solar power plants with daily data using genetic programming and equivalent circuit 利用遗传规划和等效电路对太阳能发电厂的日常数据进行建模

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2024-11-18 DOI: 10.1049/rpg2.13162

Alireza Reisi, Abbas-Ali Zamani, Seyyed Masoud Barakati

{"title":"Modeling solar power plants with daily data using genetic programming and equivalent circuit","authors":"Alireza Reisi, Abbas-Ali Zamani, Seyyed Masoud Barakati","doi":"10.1049/rpg2.13162","DOIUrl":"https://doi.org/10.1049/rpg2.13162","url":null,"abstract":"Among the various methods proposed for modeling solar panels, those based on equivalent circuits have received significant attention. In these approaches, determining unknown parameters varies depending on the modeling objective. To model voltage–current characteristics, circuit analysis methods are employed to extract these unknown parameters. However, this modeling method relies on data provided by the solar panel manufacturer, leading to increased modeling error over time as coefficients change. In this article, a method independent of the manufacturer's data for modeling solar panels is presented. This method enables accurate modeling of pre-installed solar power plants. By utilizing genetic programming on a single day's worth of data from a solar panel, the proposed method can establish relationships with a high degree of fit for the open-circuit voltage, maximum power point, and short-circuit current based on weather conditions. Through these relationships, the voltage–current characteristics can be modeled with greater precision compared to traditional circuit analysis methods, and without the need for data from the solar panel manufacturer. Finally, for further evaluation, a 3 kW solar power plant is modeled, which demonstrates the effectiveness of the proposed method.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 16","pages":"4222-4232"},"PeriodicalIF":2.6,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13162","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142762819","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 MPPT method using phasor particle swarm optimization for PV-based generation system under varying irradiance conditions 一种基于相量粒子群优化的变辐照条件下pv发电系统的MPPT方法

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2024-11-15 DOI: 10.1049/rpg2.13158

Injila Sajid, Adil Sarwar, Mohd Tariq, Shafiq Ahmad, Farhad Ilahi Bakhsh, Adamali Shah Noor Mohamed, Md. Rasidul Islam

{"title":"An MPPT method using phasor particle swarm optimization for PV-based generation system under varying irradiance conditions","authors":"Injila Sajid, Adil Sarwar, Mohd Tariq, Shafiq Ahmad, Farhad Ilahi Bakhsh, Adamali Shah Noor Mohamed, Md. Rasidul Islam","doi":"10.1049/rpg2.13158","DOIUrl":"https://doi.org/10.1049/rpg2.13158","url":null,"abstract":"The dependency of photovoltaic (PV) systems-based generation systems on constantly varying temperatures and incident sunlight affect the non-linear behaviour of PV panels. Therefore, tracking the maximum power output of the PV panels for efficient utilization becomes a challenge, resulting in power losses and the creation of intense heating spots in the shaded areas of the PV modules when the PV modules receive varying degrees of insolation, that is, under partial shading conditions (PSCs). The inclusion of bypass diodes in parallel to each PV module mitigates this problem to an extent but leads to the formation of several peaks in the P-V characteristics. As a result, maximum power point tracking (MPPT) to deliver maximum power at the load becomes a limitation for conventional optimization algorithms as they are normally based on hill climbing algorithm and get stuck at local maxima of the P-V curve. Therefore, metaheuristic algorithms are used thereby eliminating the possibility of getting trapped at the local optima. However, particle swarm optimization (PSO) suffers from delayed convergence, more iterations to reach the optimal point, and random parameter selection. Hence, this study employs an improved version of PSO called Phasor-PSO (P-PSO) in an MPPT controller. The proposed algorithm is parameter-less which results in reduced computational complexity and thus provides quick decision in achieving the maximum power point (MPP). The hardware-in-loop real-time analysis demonstrates the supremacy of P-PSO over PSO in faster convergence, higher efficiency, and reduced power losses during tracking under various PSCs. The P-PSO based MPPT method will find application in grid connected and stand-alone solar PV system with better efficiency of power transfer.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 16","pages":"4197-4209"},"PeriodicalIF":2.6,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13158","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142762287","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

Conv-ELSTM: An ensemble deep learning approach for predicting short-term wind power 卷积- elstm：预测短期风力发电的集成深度学习方法

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2024-11-15 DOI: 10.1049/rpg2.13159

Guibin Wang, Xinlong Huang, Yiqun Li, Hong Wang, Xian Zhang, Jing Qiu

{"title":"Conv-ELSTM: An ensemble deep learning approach for predicting short-term wind power","authors":"Guibin Wang, Xinlong Huang, Yiqun Li, Hong Wang, Xian Zhang, Jing Qiu","doi":"10.1049/rpg2.13159","DOIUrl":"https://doi.org/10.1049/rpg2.13159","url":null,"abstract":"Accurate and reliable forecasting of wind power is essential for the stable integration of wind energy into the electrical grid. However, the chaotic nature of wind power presents a significant challenge in utilizing data for effective short-term forecasting, such as 60-min predictions. This article introduces a hybrid data-driven framework that employs an ensemble deep learning model to provide highly precise short-term wind power predictions. The framework leverages a data-driven approach to identify the intrinsic components of wind power data, including high-frequency and low-frequency components. A convolutional layer-based feature fusion network is then established to properly extract important information from irrelevant wind energy features. Subsequently, an ensemble of long short-term memory (LSTM) networks is developed to forecast wind power using the fused features, thereby mitigating the disadvantage of a single prediction model. The numerical experiment is carried out based on two different real-life datasets. The results demonstrate the effectiveness of the proposed method in forecasting short-term wind power compared to five benchmarks.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 16","pages":"4084-4096"},"PeriodicalIF":2.6,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13159","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142762641","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

Development of optimal participating strategy for source-grid-load-storage integrated projects in electricity markets with multi-stage joint optimization 电力市场多阶段联合优化下源-网-蓄一体化项目最优参与策略研究

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2024-11-14 DOI: 10.1049/rpg2.13139

Zihao Li, Yu Yang, Yifan Shi, Li Yao, Wei Liu, Fushuan Wen

{"title":"Development of optimal participating strategy for source-grid-load-storage integrated projects in electricity markets with multi-stage joint optimization","authors":"Zihao Li, Yu Yang, Yifan Shi, Li Yao, Wei Liu, Fushuan Wen","doi":"10.1049/rpg2.13139","DOIUrl":"https://doi.org/10.1049/rpg2.13139","url":null,"abstract":"To promote peer-to-peer trading in a distribution system with the franchise owned by the concerned distribution company respected, a so-called “source-grid-load-storage” (SGLS) integrated project is promoted in China. Given this background, this paper proposes a multi-stage joint optimization model to optimize the participating strategy for SGLS-IPs in electricity energy and ancillary service markets. A multi-energy flow park model is presented with electricity, gas, and heat included. A two-stage model for optimal participating strategy of SGLS-IPs in electricity and ancillary service markets is then presented. Through scenario analysis of a sample system, the attained revenue of an SGLS-IP in different markets is evaluated. Additionally, a bilevel Stackelberg game model is introduced for internal electric vehicle clusters (EVCs) within an SGLS-IP, with the upper level representing an SGLS-IP, and the lower level representing EV users engaging in the game. The effectiveness of the model is validated through case studies. Simulation results demonstrate that reasonable market participation and pricing strategies contribute to the efficient allocation of resources within a SGLS-IP and a win-win outcome for both the SGLS-IP entity and EV users.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 16","pages":"4056-4068"},"PeriodicalIF":2.6,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13139","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142762800","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 techno-enviro-economic multi-objective framework for optimal sizing of a biomass/diesel generator-driven hybrid energy system 生物质/柴油发电机驱动的混合能源系统的技术-环境-经济多目标优化框架

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2024-11-14 DOI: 10.1049/rpg2.13157

Amir Akbarzadeh, Alireza Askarzadeh

{"title":"A techno-enviro-economic multi-objective framework for optimal sizing of a biomass/diesel generator-driven hybrid energy system","authors":"Amir Akbarzadeh, Alireza Askarzadeh","doi":"10.1049/rpg2.13157","DOIUrl":"https://doi.org/10.1049/rpg2.13157","url":null,"abstract":"This article investigates multi-objective size optimization of a hybrid energy system (HES) composed of biomass, photovoltaic (PV) and diesel generator considering technical, economic and environmental aspects. For this aim, two multi-objective frameworks (techno-economic and techno-enviro-economic) are developed where in the techno-economic framework, total net present cost (TNPC) and loss of power supply probability (LPSP) are considered as the conflicting objectives. LPSP value is used as an index to measure the system reliability (by decrease of LPSP value, reliability will increase). In the techno-enviro-economic framework, net present cost of CO2 emission is also included in TNPC value. Furthermore, to determine the impact of biomass and diesel generator fuel costs on the Pareto front, a sensitivity analysis is conducted. Over the case study, simulated results show that in techno-economic framework, at small values of LPSP, it is cost-effective to use PV-diesel rather than PV-biomass system. In techno-enviro-economic framework, though at LPSP = 0, it is cost-effective to use PV-diesel system, in other levels of LPSP, it is desired to use PV-biomass system.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 16","pages":"4177-4196"},"PeriodicalIF":2.6,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13157","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142762799","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 and verification of monitoring system of DC microgrid based on Ethernet communication 基于以太网通信的直流微电网监控系统的设计与验证

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2024-11-13 DOI: 10.1049/rpg2.13156

Lirong Zhang, Xianwen Bao

{"title":"Design and verification of monitoring system of DC microgrid based on Ethernet communication","authors":"Lirong Zhang, Xianwen Bao","doi":"10.1049/rpg2.13156","DOIUrl":"https://doi.org/10.1049/rpg2.13156","url":null,"abstract":"Real-time acquisition of microgrid (MG) operation data and remote control play a crucial role in the safe and stable operation of MG. A design scheme of monitoring system is proposed for the wind/photovoltaic/energy storage islanded direct current MG. The core controllers used in direct current MG system are programmable logic controller and digital signal processor. The monitoring system mainly adopts Ethernet communication, together with serial port communication mode Recommend Standard 232 (RS232) and Recommended Standard 485 (RS485) communication modes. A heterogeneous networking is built with controllers and data display instruments. Different monitoring interfaces are designed, the important information can be real-time detected, collected and displayed. The multi-energy and multi-load dispatching operation control are realized according to scheduling operation plan. The parameters of the inverter can be adjusted, and the output voltage waveform and sinusoidal pulse width modulation waveform of the inverter can be measured. The communication of the proposed monitoring system is reliable, flexible and expandable, and easy to realize remote operation control. Moreover, the detection and control functions can be extended further. Through experiments, the effective control and monitoring of the designed monitoring system is verified, and the intelligent management is realized.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 16","pages":"4166-4176"},"PeriodicalIF":2.6,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13156","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142762342","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 capacity configuration of joint system considering uncertainty of wind and photovoltaic power and demand response 考虑风电、光伏不确定性和需求响应的联合系统最优容量配置

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2024-11-13 DOI: 10.1049/rpg2.13160

Yuanxiang Luo, Haixin Hao, Lidong Fan

{"title":"Optimal capacity configuration of joint system considering uncertainty of wind and photovoltaic power and demand response","authors":"Yuanxiang Luo, Haixin Hao, Lidong Fan","doi":"10.1049/rpg2.13160","DOIUrl":"https://doi.org/10.1049/rpg2.13160","url":null,"abstract":"To reduce phenomenon of abandoning wind and photovoltaic power, improve the limitations of traditional methods in dealing with uncertainty of wind and photovoltaic power and system planning, and improve the optimal configuration of resources, an optimal capacity configuration of joint system considering uncertainty of wind and photovoltaic power and demand response is proposed. Firstly, using probability distribution information of wind and photovoltaic power output, the distance between actual probability distribution and forecast probability distribution is constrained based on the 1-norm and ∞-norm. A fuzzy set considering uncertainty probability distribution is constructed, and a two-stage distributed robust planning model is established. The first stage involves optimizing joint system capacity for scenarios with the lowest probability of wind and photovoltaic power; the second stage builds on capacity optimization scheme from the first stage and aims to minimize operating costs through simulation optimization. Secondly, column and constraint generation is used to solve the model. Finally, constructing an example based on actual data from a power grid in Northeast China for simulation and analysis, the results show that the method achieves a balanced optimization of robustness and economy, effectively reduces carbon emissions and improves ability of the system to consume wind and photovoltaic power.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 16","pages":"4210-4221"},"PeriodicalIF":2.6,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13160","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142762747","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

Integration of a solid oxide electrolysis system with solar thermal and electrical energy: A testing campaign for operation and control strategy definition 固体氧化物电解系统与太阳能热能和电能的集成：操作和控制策略定义的测试活动

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2024-11-11 DOI: 10.1049/rpg2.13141

Elena Crespi, Francesca Panaccione, Davide Ragaglia, Matteo Testi

{"title":"Integration of a solid oxide electrolysis system with solar thermal and electrical energy: A testing campaign for operation and control strategy definition","authors":"Elena Crespi, Francesca Panaccione, Davide Ragaglia, Matteo Testi","doi":"10.1049/rpg2.13141","DOIUrl":"https://doi.org/10.1049/rpg2.13141","url":null,"abstract":"The EU project PROMETEO has the scope of testing a 25 kW solid oxide electrolysis system integrated with a concentrated solar power plant via thermal energy storage in a relevant environment. Given the plant layout and the hydrogen demand characteristics, this work aims to identify how to operate the system effectively when renewable electricity is unavailable and how to modulate the load during hydrogen generation, thus defining the system's operation modes and control strategy. A 5 kWe stack has been tested at the FBK facility. The hot standby tests show that feeding a reducing gas at the negative electrode and air at the positive electrode, without polarizing the stack, effectively keeps the stack hot at 750°C and prevents degradation. Conversely, the electric protection approach leads to significant stack degradation (15% voltage drop in 200 h for one cluster). Regarding modulation of hydrogen generation, with low steam flowrates, the stack current and the flow rate of produced hydrogen mainly depend on the steam flow rate, while it is not affected by the stack temperature; conversely, with high steam flowrates, the current depends only on the stack temperature (from 25 A at 670°C to 65 A at 760°C). Based on the results, two hot standby modes and two load control strategies to be implemented and tested in the PROMETEO prototype are proposed.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 S1","pages":"4399-4413"},"PeriodicalIF":2.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13141","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143252361","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