IET Renewable Power Generation最新文献

{"title":"Intelligent parking lot power management: Augmented epsilon-constraint concept with correlation analysis","authors":"Seyyed Mostafa Nosratabadi,&nbsp;Ali Peivand,&nbsp;Amin Saadat","doi":"10.1049/rpg2.13143","DOIUrl":"https://doi.org/10.1049/rpg2.13143","url":null,"abstract":"<p>This paper addresses essential aspects of decision-making and management in energy resources. To achieve this, a tri-objective model is proposed that seeks to find the best solution within the basic constraints framework of the optimization problem so that all three proposed objective functions can approach their ideal point. The uncertainty is used for the photovoltaic and wind power plants’ output in the proposed multi-objective optimization problem as a scenario-based stochastic approach. The proposed objective functions are realizing the operating cost, the amount of emission produced by generation resources, the amount of load-shedding, and the maximum participation of responsive demands in the management program. The idea of employing plug-in electric vehicle (PHEV) units in the form of intelligent parking lots within the network is also included in the proposed study, which can increase network flexibility and help improve the main features of the network. A modified IEEE 83-bus test system is used to ensure the accuracy and effectiveness of the proposed model. The properties of PHEVs significantly affect the simulation results and compensate for the uncertainty associated with renewable energy sources. Randomly considering the parameters of PHEVs can also realistically bring the results of power management more realistic. In addition, the multi-objective problem defined for each scenario is solved by the augmented epsilon-constraint method with the correlation coefficient concept for the network under study, and the Pareto front curves are obtained separately and the best solution is extracted by a proper decision-making method.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 15","pages":"3378-3404"},"PeriodicalIF":2.6,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13143","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142674102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On adaptive resilient secondary control for DC microgrids under false data injection attacks","authors":"Shahab Tawan,&nbsp;Yazdan Batmani,&nbsp;Qobad Shafiee,&nbsp;Charalambos Konstantinou","doi":"10.1049/rpg2.13144","DOIUrl":"https://doi.org/10.1049/rpg2.13144","url":null,"abstract":"<p>Distributed cooperative control strategies for DC microgrids have been rapidly evolving in recent years. However, introducing a cyber layer to enhance robustness, scalability, and reliability also exposes the system to potential cyber-attacks. The damage inflicted by such attacks on the system performance can be catastrophic, reaching a point where it may devastate the system normal operation. By using model reference adaptive control (MRAC), this article proposes a resilient approach that does not require an accurate model of the system and despite the uncertainties for detecting false data injections into the reference DC voltage and simultaneously mitigating their adverse effects on the system stability and performance. The proposed technique employs an observer to detect possible false data injections in an online manner. By emulating the behavior of an ideal reference model, the MRAC ensures adaptive adjustments of the control parameters over time to mitigate the negative effects of potential attacks effectively and despite non-idealities such as measurement noise, parameter variations, and environmental changes in DC microgrids, the MRAC effectively manages false data injection attacks. Simulation studies are conducted using diverse scenarios involving a three-node DC microgrid to show the effectiveness of the proposed method.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 15","pages":"3405-3415"},"PeriodicalIF":2.6,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13144","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142679902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An optimal parameter design method for cascaded H-bridge multi-level converter in wind farm","authors":"Huagen Xiao,&nbsp;Yongxi Zhang","doi":"10.1049/rpg2.13148","DOIUrl":"https://doi.org/10.1049/rpg2.13148","url":null,"abstract":"<p>The cascaded H-bridge multi-level converter is the main topology of high-voltage and high-capacity converter in renewable energy power generation, energy storage system and reactive power compensation equipment. The parameter design of cascaded H-bridge multi-level converters directly determines the material cost and performance. Taking the output current distortion rate and the ripple voltage of the capacitor of the cascaded H-bridge multi-level converter as the constraint conditions, this paper proposes an overall parameter optimal design method of the cascaded H-bridge multi-level converter based on the optimization of the total material cost. Finally, the effectiveness of the proposed parameter design method is verified by the simulation result.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 15","pages":"3443-3451"},"PeriodicalIF":2.6,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13148","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142674103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic modelling and equilibrium manifold of multi-converter systems: A study on grid-forming and grid-following converters in renewable energy power plants","authors":"Ziqian Zhang,&nbsp;Robert Schuerhuber,&nbsp;Lothar Fickert,&nbsp;Guochu Chen","doi":"10.1049/rpg2.13103","DOIUrl":"https://doi.org/10.1049/rpg2.13103","url":null,"abstract":"<p>This study explores the optimal balance between grid-forming (GFM) and grid-following (GFL) converter capacities within power stations to ensure stable operations. The investigation introduces a novel, generic modelling approach for analysing multiple converter systems in the wind and photovoltaic power plants. The method aims to elucidate the dynamic characteristics of the converters in power plants, particularly focusing on the continuity and existence of the equilibrium manifolds and their impact on system stability. Findings reveal a pronounced difference in the recovery capabilities of GFM and GFL following synchronization losses, highlighting an asymmetry in their abilities. Specifically, GFL converters exhibit more effectiveness in reinstating synchrony after synchronization losses caused by GFM. Conversely, GFM demonstrates a lesser capacity to recover from synchronization losses induced by GFL. Furthermore, analysis indicates that when the capacity ratio of GFL to the system's short-circuit capacity significantly exceeds that of GFM (exceeding a 1:5 ratio), the system experiences an absence of a stable equilibrium point, thereby affecting the synchronization stability of GFM. These conclusions have been validated through joint controller hardware-in-the-loop testing.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 15","pages":"3253-3267"},"PeriodicalIF":2.6,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13103","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142679901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A cooperative approach for generation and lines expansion planning in microgrid-based active distribution networks","authors":"Bizhan Nemati,&nbsp;Seyed Mohammad Hassan Hosseini,&nbsp;Hassan Siahkali","doi":"10.1049/rpg2.13142","DOIUrl":"https://doi.org/10.1049/rpg2.13142","url":null,"abstract":"<p>With the growth of the load in the electricity networks, sufficient investment in the generation and lines expansion should be made in order to provide the energy needed by consumers with the lowest possible investment and operation costs. This issue is especially important in distribution networks, which are faced with the uncertainties of renewable energy generation and the development of microgrids and related issues.</p><p>In this article, the planning of generation and lines expansion has been modeled with the aim of minimizing the total costs of microgrids, based on the cooperative approach. For this purpose, a bi-level model has been developed; on the upper level, microgrids make investment decisions with a cooperative approach, and a constrained stochastic formulation has been developed with considering operational uncertainties on the lower level. Also, in this article, in order to ensure the supply of critical loads in island conditions, the self-sufficiency index is defined. Three case studies have been considered to ensure the effectiveness of the developed model. In case 1, each microgrid will be able to supply its load only by generating of its units and purchasing from the retail market. In case 2, the possibility of trading with other microgrids in a non-cooperative approach will also be available to the microgrids operators, and in case 3, microgrids can exchange energy with other microgrids in a cooperative manner. The simulation results showed that due to the possibility of using nearby microgrid resources, the cost of microgrid load supply in case 2 was reduced by 4.84% compared to case 1. Also, this cost in case 3 was reduced by 5.23% and 0.38%, respectively, compared to cases 1 and 2, due to the use of a cooperative manner in microgrid load providing.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 15","pages":"3355-3377"},"PeriodicalIF":2.6,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13142","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142674082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Models and applications of stochastic programming with decision-dependent uncertainty in power systems: A review","authors":"Wenqian Yin,&nbsp;Yunhe Hou","doi":"10.1049/rpg2.13082","DOIUrl":"https://doi.org/10.1049/rpg2.13082","url":null,"abstract":"<p>Stochastic programming is a competitive tool in power system uncertainty management. Traditionally, stochastic programming assumes uncertainties to be exogenous and independent of decisions. However, there are situations where statistical features of uncertain parameters are not constant but dependent on decisions, classifying such uncertainties as decision-dependent uncertainty (DDU). This is particularly the case with future power systems highly penetrated by multi-source uncertainties, where planning or operation decisions might exert unneglectable impacts on uncertainty features. This paper reviews the stochastic programming with DDU, especially those applied in the field of power systems. Mathematical properties of diversified types of DDU in stochastic programming are introduced, and a comprehensive review on sources and applications of DDU in power systems is presented. Then, focusing on a specific type of DDU, that is, decision-dependent probability distributions, a taxonomy of available modelling techniques and solution approaches for stochastic programming with this type of DDU and different structural features are presented and discussed. Eventually, the outlook of two-stage stochastic programming with DDU for future power system uncertainty management is explored, including both exploring the applications and developing efficient modelling and solution tools.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 14","pages":"2819-2834"},"PeriodicalIF":2.6,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13082","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142541088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hystimator: DRT-based hysteresis modelling for accurate SoC estimation in LFP battery cells","authors":"Guillaume Thenaisie,&nbsp;Claudio Brivio","doi":"10.1049/rpg2.13130","DOIUrl":"https://doi.org/10.1049/rpg2.13130","url":null,"abstract":"<p>State of Charge (SoC) estimation for Lithium-Iron Phosphate (LFP) batteries is challenging due to a flat Open Circuit Voltage (OCV) curve and a well-known hysteresis effect. The authors built upon a previous study, which has shown that hysteresis in LFP is not an inherent characteristic but a very slow relaxation process when compared to other battery chemistries. Distribution of Relaxation Times (DRT) is used to deconvolve Electro-Impedance Spectroscopy (EIS) measurements and model the hysteresis effect. The extracted DRT parameters show good agreement at low frequencies with previous thermodynamic studies in both fresh and aged cell conditions. The proposed model, called hystimator, integrates the hysteresis characteristics into a physics-based Electro-Chemical Model (ECM). The validation results show a significant reduction in the Root Mean Square Error (RMSE) during real-world laboratory testing. This approach holds promise for SoC estimation in LFP battery cells, especially in embedded Battery Management System (BMS).</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 S1","pages":"4387-4398"},"PeriodicalIF":2.6,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13130","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143253077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A distributed photovoltaic short-term power forecasting model based on lightweight AI for edge computing in low-voltage distribution network","authors":"Yuanliang Fan,&nbsp;Han Wu,&nbsp;Jianli Lin,&nbsp;Zewen Li,&nbsp;Lingfei Li,&nbsp;Xinghua Huang,&nbsp;Weiming Chen,&nbsp;Jian Zhao","doi":"10.1049/rpg2.13093","DOIUrl":"https://doi.org/10.1049/rpg2.13093","url":null,"abstract":"<p>Recent years, the tremendous number of distributed photovoltaic are integrated into low-voltage distribution network, generating a significant amount of operational data. The centralized cloud data centre is unable to process the massive data precisely and promptly. Therefore, the operational status of distributed photovoltaic systems in low-voltage distribution network becomes difficult to predict. However, edge computing in the distribution network enable local processing of data to improve the real-time and reliability of the forecasting service. In this regard, this paper proposes a distributed photovoltaic short-term power forecasting model based on lightweight AI algorithms. Firstly, based on the Pearson correlation coefficient method, an analysis is conducted on the historical operational data in the network to extract important meteorological features that are correlated with the photovoltaic power output. Secondly, a distributed photovoltaic power forecasting model for the distribution network is constructed based on the Xception and attention mechanism. Finally, the model is trained using pruning, which involves removing redundant parts of the model, resulting in a compact and efficient forecasting model. By conducting validation on real-world datasets, the results demonstrate that the model presented in this article possesses a smaller size and higher forecasting accuracy compared to other state-of-the-art forecasting models.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 16","pages":"3955-3966"},"PeriodicalIF":2.6,"publicationDate":"2024-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13093","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142762726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integration and control of grid-scale battery energy storage systems: challenges and opportunities","authors":"Kumars Rouzbehi,&nbsp;Fazel Mohammadi,&nbsp;Juan Manuel Escaño,&nbsp;Vijay K. Sood,&nbsp;Carlos Bordons,&nbsp;Josep M. Guerrero,&nbsp;Mohammad J. Sanjari,&nbsp;Gevork. B. Gharehpetian,&nbsp;Takeshi Hatanaka,&nbsp;Raúl S. Muñoz Aguilar,&nbsp;Jahangir Hossain,&nbsp;José María Maestre","doi":"10.1049/rpg2.13136","DOIUrl":"https://doi.org/10.1049/rpg2.13136","url":null,"abstract":"&lt;p&gt;The current energy storage system technologies are undergoing a historic transformation to become more sustainable and dynamic. Beyond the traditional applications of battery energy storage systems (BESSs), they have also emerged as a promising solution for some major operational and planning challenges of modern power systems and microgrids, for example, enabling the integration of renewable energy sources by reducing their intermittency and improving the voltage, frequency, and reliability profiles of power grids. In other words, energy arbitrage, increased capacity of renewable energy resources, deferred investment in power grid components, reduced congestions, reduced carbon footprint, reduced losses, and stability stress the importance of conducting extensive and ground-breaking research and experimentation in the area of BESSs. This effort will maximize the benefits of using existing and novel BESS technologies in power systems. However, the success in the use of BESSs is driven by many technological developments and cost reductions. The current special issue enables a unique, dedicated opportunity to disseminate state-of-the-art research works in innovative aspects of BESSs from the technology and system points of view.&lt;/p&gt;&lt;p&gt;In this special issue, twenty-two articles have been received, all of which underwent peer review. Of the twenty-two originally submitted articles, seven have been accepted and the rest have been “rejected,” that is, they did not meet the IET Renewable Power Generation journal criteria for publication. Thus, the overall submissions were of high quality, which marks the success of this special issue. A brief presentation of each of the articles in this special issue follows:&lt;/p&gt;&lt;p&gt;In [&lt;span&gt;1&lt;/span&gt;], the use of a multi-port DC/DC power converter-based BESS as a multi-functional device in improving the transient stability and enhancing the power transmission capacity of high voltage direct current (HVDC) grids is analyzed. The presented control structure is an effective control framework that deals with multi-port DC/DC power converters to achieve DC voltage control and eliminate voltage and power oscillations. Also, the control scheme of the DC/DC converter can control the power flow in the intended transmission line. Analysis and time-domain simulations of the system demonstrate that the presented method gives the system an appropriate and acceptable damping improvement. The presented method simultaneously improves the transient stability of DC voltage and controls power oscillation damping within HVDC grids using BESS.&lt;/p&gt;&lt;p&gt;In [&lt;span&gt;2&lt;/span&gt;], a construction method of lithium-ion batteries' thermoelectric coupling model based on digital twin for the problems of long simulation time and low accuracy in existing models is presented. In this regard, the digital twin structure system of lithium-ion batteries is analyzed, and then the thermoelectric coupling model of the batteries is constructed on the digital twin ","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 15","pages":"2835-2837"},"PeriodicalIF":2.6,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13136","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142674355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An enhanced sensitivity-based combined control method of battery energy storage systems for voltage regulation in PV-rich residential distribution networks","authors":"Farzaneh Rezaei,&nbsp;Saeid Esmaeili","doi":"10.1049/rpg2.13109","DOIUrl":"https://doi.org/10.1049/rpg2.13109","url":null,"abstract":"<p>Commercial off-the-shelf (OTS) photovoltaic systems coupled with battery energy storage units (PV-BES) are typically designed to increase household self-consumption, neglecting their potential for voltage regulation in low voltage distribution networks (LVDNs). This work proposes an enhanced sensitivity-based combined (ESC) control method for voltage regulation, using BES control as level 1 and reactive power compensation as level 2. A centralized controller manages charging/discharging intervals, while local inverters handle real-time power rates and reactive power, ensuring effective LVDN voltage regulation. The BES set points are obtained concerning the measured local bus voltage and according to enhanced sensitivity coefficients. The enhancement algorithm ensures that the full capacity of BES is utilized and that there is adequate capacity during charging and discharging time intervals. The proposed method, tested on 8-bus and 116-bus LV test feeders, outperforms OTS and an adaptive decentralized (AD) control method by completely preventing overvoltage issues, minimizing various changes in the direction of BES power, and reducing voltage deviation without significantly affecting consumers' grid dependency.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 14","pages":"2641-2657"},"PeriodicalIF":2.6,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13109","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142540843","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}