IET Renewable Power Generation最新文献

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

Integrated energy microgrids participating in voltage regulation ancillary services: An improved ADMM based distributed optimization approach 集成能源微电网参与电压调节辅助服务：一种改进的基于ADMM的分布式优化方法

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2024-11-10 DOI: 10.1049/rpg2.13140

Hao Xiao, Wei Pei, Daoxin Han, Xiaowei Pu, Jiarui Wang

引用次数: 0

Impact of using text classifiers for standardising maintenance data of wind turbines on reliability calculations 使用文本分类器规范风力涡轮机维护数据对可靠性计算的影响

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2024-11-07 DOI: 10.1049/rpg2.13151

Julia Walgern, Katharina Beckh, Neele Hannes, Martin Horn, Marc-Alexander Lutz, Katharina Fischer, Athanasios Kolios

{"title":"Impact of using text classifiers for standardising maintenance data of wind turbines on reliability calculations","authors":"Julia Walgern, Katharina Beckh, Neele Hannes, Martin Horn, Marc-Alexander Lutz, Katharina Fischer, Athanasios Kolios","doi":"10.1049/rpg2.13151","DOIUrl":"https://doi.org/10.1049/rpg2.13151","url":null,"abstract":"This study delves into the challenge of efficiently digitalising wind turbine maintenance data, traditionally hindered by non-standardised formats necessitating manual, expert intervention. Highlighting the discrepancies in past reliability studies based on different key performance indicators (KPIs), the paper underscores the importance of consistent standards, like RDS-PP, for maintenance data categorisation. Leveraging on established digitalisation workflows, we investigate the efficacy of text classifiers in automating the categorisation process against conventional manual labelling. Results indicate that while classifiers exhibit high performance for specific datasets, their general applicability across diverse wind farms is limited at the present stage. Furthermore, differences in failure rate KPIs derived from manual versus classifier-processed data reveal uncertainties in both methods. The study suggests that enhanced clarity in maintenance reporting and refined designation systems can lead to more accurate KPIs.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 15","pages":"3463-3479"},"PeriodicalIF":2.6,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13151","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142674130","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 spatial arrangement of modules for large-scale photovoltaic farms in complex topography 复杂地形下大型光伏农场模块的最佳空间布局

IF 2.6 4区工程技术

IET Renewable Power Generation Pub Date : 2024-11-05 DOI: 10.1049/rpg2.13150

Xu Tai, Hanlin Ru, Fei Wu, Wanbing Zhao, Yifan Ding, Qiang Yang

{"title":"Optimal spatial arrangement of modules for large-scale photovoltaic farms in complex topography","authors":"Xu Tai, Hanlin Ru, Fei Wu, Wanbing Zhao, Yifan Ding, Qiang Yang","doi":"10.1049/rpg2.13150","DOIUrl":"https://doi.org/10.1049/rpg2.13150","url":null,"abstract":"The existing methods for determining the module arrangement in photovoltaic (PV) farms are considered insufficient as they are generally limited to the environment of flat ground without considering both physical and electrical factors. The orientations of PV modules may be very diverse when installed in places with complex topography, e.g. mountains and abandoned mine sites. Thus, the received irradiance by the modules is inconsistent directly results in current differences and hence leads to significant mismatch loss in the PV arrays. This paper proposes a solution to determine the most appropriate combination of tilts and orientations of PV modules as well as the arrangement of PV arrays. The complex topographies are fully considered to minimize the mismatch loss phenomenon, and hence the power generation degradation. The solution adopts a set of models, i.e. the irradiation model for the calculation of optimal module tilts and orientations, the shadow model for shadow effect analysis, and the mismatch model for mismatch condition analysis. A two-layer multi-objective optimization is implemented for the optimal arrangement. The proposed solution is assessed through the case study of a 30 MW PV farm. The result confirms the effectiveness of the proposed solution for the optimal spatial module placement.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 15","pages":"3452-3462"},"PeriodicalIF":2.6,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13150","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142674007","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