Global Energy Interconnection最新文献

{"title":"Research on the coordinated optimization of energy storage and renewable energy in off-grid microgrids under new electric power systems","authors":"Zhuoran Song ,&nbsp;Mingli Zhang ,&nbsp;Yuanying Chi ,&nbsp;Jialin Li ,&nbsp;Yi Zheng","doi":"10.1016/j.gloei.2024.12.004","DOIUrl":"10.1016/j.gloei.2024.12.004","url":null,"abstract":"<div><div>The supply of electricity to remote regions is a significant challenge owing to the pivotal transition in the global energy landscape. To address this issue, an off-grid microgrid solution integrated with energy storage systems is proposed in this study. Off-grid microgrids are self-sufficient electrical networks that are capable of effectively resolving electricity access problems in remote areas by providing stable and reliable power to local residents. A comprehensive review of the design, control strategies, energy management, and optimization of off-grid microgrids based on domestic and international research is presented in this study. It also explores the critical role of energy storage systems in enhancing microgrid stability and economic efficiency. Additionally, the capacity configurations of energy storage systems within off-grid networks are analyzed. Energy storage systems not only mitigate the intermittency and volatility of renewable energy generation but also supply power support during peak demand periods, thereby improving grid stability and reliability. By comparing different energy storage technologies, such as lithium-ion batteries, pumped hydro storage, and compressed air energy storage, the optimal energy storage capacity configurations tailored to various application scenarios are proposed in this study. Finally, using a typical microgrid as a case study, an empirical analysis of off-grid microgrids and energy storage integration has been conducted. The optimal configuration of energy storage systems is determined, and the impact of wind and solar power integration under various scenarios on grid balance is explored. It has been found that a rational configuration of energy storage systems can significantly enhance the utilization rate of renewable energy, reduce system operating costs, and strengthen grid resilience under extreme conditions. This study provides essential theoretical support and practical guidance for the design and implementation of off-grid microgrids in remote areas.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 2","pages":"Pages 213-224"},"PeriodicalIF":1.9,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Grouping control of electric vehicles based on improved golden eagle optimization for peaking","authors":"Yang Yu ,&nbsp;Yuhang Huo ,&nbsp;Shixuan Gao ,&nbsp;Qian Wu ,&nbsp;Mai Liu ,&nbsp;Xiao Chen ,&nbsp;Xiaoming Zheng ,&nbsp;Xinlei Cai","doi":"10.1016/j.gloei.2024.06.011","DOIUrl":"10.1016/j.gloei.2024.06.011","url":null,"abstract":"<div><div>To address the problem of high lifespan loss and poor state of charge (SOC) balance of electric vehicles (EVs) participating in grid peak shaving, an improved golden eagle optimizer (IGEO) algorithm for EV grouping control strategy is proposed for peak shaving scenarios. First, considering the difference between peak and valley loads and the operating costs of EVs, a peak shaving model for EVs is constructed. Second, the design of IGEO has improved the global exploration and local development capabilities of the golden eagle optimizer (GEO) algorithm. Subsequently, IGEO is used to solve the peak shaving model and obtain the overall EV grid connected charging and discharging instructions. Next, using the <em>k</em>-means algorithm, EVs are dynamically divided into priority charging groups, backup groups, and priority discharging groups based on SOC differences. Finally, a dual layer power distribution scheme for EVs is designed. The upper layer determines the charging and discharging sequences and instructions for the three groups of EVs, whereas the lower layer allocates the charging and discharging instructions for each group to each EV. The proposed strategy was simulated and verified, and the results showed that the designed IGEO had faster optimization speed and higher optimization accuracy. The proposed EV grouping control strategy effectively reduces the peak–valley difference in the power grid, reduces the operational life loss of EVs, and maintains a better SOC balance for EVs.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 2","pages":"Pages 286-299"},"PeriodicalIF":1.9,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Self-reduction multi-head attention module for defect recognition of power equipment in substation","authors":"Yifeng Han,&nbsp;Donglian Qi,&nbsp;Yunfeng Yan","doi":"10.1016/j.gloei.2024.11.016","DOIUrl":"10.1016/j.gloei.2024.11.016","url":null,"abstract":"<div><div>Safety maintenance of power equipment is of great importance in power grids, in which image-processing-based defect recognition is supposed to classify abnormal conditions during daily inspection. However, owing to the blurred features of defect images, the current defect recognition algorithm has poor fine-grained recognition ability. Visual attention can achieve fine-grained recognition with its ability to model long-range dependencies while introducing extra computational complexity, especially for multi-head attention in vision transformer structures. Under these circumstances, this paper proposes a self-reduction multi-head attention module that can reduce computational complexity and be easily combined with a Convolutional Neural Network (CNN). In this manner, local and global features can be calculated simultaneously in our proposed structure, aiming to improve the defect recognition performance. Specifically, the proposed self-reduction multi-head attention can reduce redundant parameters, thereby solving the problem of limited computational resources. Experimental results were obtained based on the defect dataset collected from the substation. The results demonstrated the efficiency and superiority of the proposed method over other advanced algorithms.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 1","pages":"Pages 82-91"},"PeriodicalIF":1.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrated paralleling of NPC inverters with suppressed circulating current for high-power renewable energy conversion","authors":"Weiwei Li ,&nbsp;Guoxiang Hua ,&nbsp;Xing Huang ,&nbsp;Xueguang Zhang","doi":"10.1016/j.gloei.2024.12.001","DOIUrl":"10.1016/j.gloei.2024.12.001","url":null,"abstract":"<div><div>The development of renewable energy power generation for carbon neutrality and energy transition has been increasing worldwide, leading to an increasing demand for high-power conversion. Compared with traditional interleaved paralleling, the integrated paralleling of three-level inverters can further reduce the output harmonics. Moreover, a well-designed switching sequence ensures that the average circulating current is zero, which provides a superior and feasible solution to satisfy the demands of high-power operations. However, a large instantaneous loop current exists between shunt converters, which leads to disadvantages such as higher switching device stress and loss. In this study, by utilizing the state-distribution redundancy provided by the integrated modulation process, a new design for switching sequences is suggested for the integrated modulation of shunt three-level converters. This design aims to reduce the circulating current while better preserving the same output current harmonics than traditional parallel methods. The proposal includes an in-depth analysis and explanation of the implementation process. Finally, the proposed method is validated through simulations and prototype experiments. The results indicate that compared with traditional methods, the adoption of the improved switching sequence presented in this study leads to an average reduction of 3.2 % in the total harmonic distortion of the inverter’s output and an average decrease of 32 % in the amplitude of the circulating current. Both the output harmonics and circulating currents are significantly suppressed across various modulation indices.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 1","pages":"Pages 134-142"},"PeriodicalIF":1.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Technical and economic feasibility assessment for hybrid energy system electricity and hydrogen generation: A case study","authors":"Paul C. Okonkwo ,&nbsp;Samuel Chukwujindu Nwokolo ,&nbsp;El Manaa Barhoumi ,&nbsp;Ibrahim B. Mansir ,&nbsp;Usman Habu Taura ,&nbsp;Barun Kumar Das ,&nbsp;Ahmed Bahgat Radwan ,&nbsp;Wilfred Emori ,&nbsp;Ephraim Bonah Agyekum ,&nbsp;Khalid Al Kaaf","doi":"10.1016/j.gloei.2025.01.001","DOIUrl":"10.1016/j.gloei.2025.01.001","url":null,"abstract":"<div><div>Hydrogen is emerging as a promising alternative to fossil fuels in the transportation sector.This study evaluated the feasibility of establishing hydrogen refueling stations in five cities in Oman, Duqm, Haima, Sur, Al Buraymi, and Salalah, using Hybrid Optimization of Multiple Electric Renewables (HOMER) software. Three hybrid energy systems, photovoltaic-wind turbine-battery, photovoltaic-battery, and wind turbine-battery were analyzed for each city. Results indicated that Duqm offers the lowest net present cost (NPC), levelized cost of energy, and levelized cost of hydrogen, making it the most cost-effective location. Additionally, Sensitivity analysis showed that as the life of electrolyzer increases during operation, the initial capital expenditure is distributed over a longer operational period, leading to a reduction in the NPC. More so, renewable energy systems produced no emissions which supports Oman’s mission target. This comprehensive analysis confirms the feasibility of establishing a hydrogen refueling station in Duqm, Oman, and highlights advanced optimization techniques’ superior capability in designing cost-effective, sustainable energy systems.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 1","pages":"Pages 62-81"},"PeriodicalIF":1.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Flexible region aggregation of adjustable loads via an adaptive convex hull strategy","authors":"Yisha Lin ,&nbsp;Zongxiang Lu ,&nbsp;Ying Qiao ,&nbsp;Ruijie Chen","doi":"10.1016/j.gloei.2024.11.015","DOIUrl":"10.1016/j.gloei.2024.11.015","url":null,"abstract":"<div><div>Increasing interest has been directed toward the potential of heterogeneous flexible loads to mitigate the challenges associated with the increasing variability and uncertainty of renewable generation. Evaluating the aggregated flexible region of load clusters managed by load aggregators is the crucial basis of power system scheduling for the system operator. This is because the aggregation result affects the quality of the scheduling schemes. A stringent computation based on the Minkowski sum is NP-hard, whereas existing approximation methods that use a special type of polytope exhibit limited adaptability when aggregating heterogeneous loads. This study proposes a stringent internal approximation method based on the convex hull of multiple layers of maximum volume boxes and embeds it into a day-ahead scheduling optimization model. The numerical results indicate that the aggregation accuracy can be improved compared with methods based on one type of special polytope, including boxes, zonotopes, and homothets. Hence, the reliability and economy of the power system scheduling can be enhanced.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 1","pages":"Pages 106-120"},"PeriodicalIF":1.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Distribution network gray-start and emergency recovery strategy with pumped storage unit under a typhoon","authors":"Zhenguo Wang ,&nbsp;Hui Hou ,&nbsp;Chao Liu ,&nbsp;Shaohua Wang ,&nbsp;Zhengtian Li ,&nbsp;Xiangning Lin ,&nbsp;Te Li","doi":"10.1016/j.gloei.2024.07.002","DOIUrl":"10.1016/j.gloei.2024.07.002","url":null,"abstract":"<div><div>Typhoons can cause large-area blackouts or partial outages of distribution networks. We define a partial outage state in the distribution network as a gray state and propose a gray-start strategy and two-stage distribution network emergency recovery framework. A phase-space reconstruction and stacked integrated model for predicting wind and photovoltaic generation during typhoon disasters is proposed in the first stage. This provides guidance for second-stage post-disaster emergency recovery scheduling. The emergency recovery scheduling model is established in the second stage, and this model is supported by a thermal power-generating unit, mobile emergency generators, and distributed generators. Distributed generation includes wind power generation, photovoltaics, fuel cells, etc. Simultaneously, we consider the gray-start based on the pumped storage unit to be an important first step in the emergency recovery strategy. This model is validated on the improved IEEE 33 node system, which utilizes data from the 2022 super typhoon “Muifa” in Zhoushan, Zhejiang, China. Simulations indicate the superiority of a gray start with a pumped storage unit and the proposed emergency recovery strategy.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 1","pages":"Pages 121-133"},"PeriodicalIF":1.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hash-based FDI attack-resilient distributed self-triggered secondary frequency control for islanded microgrids","authors":"Xing Huang ,&nbsp;Yulin Chen ,&nbsp;Donglian Qi ,&nbsp;Yunfeng Yan ,&nbsp;Shaohua Yang ,&nbsp;Ying Weng ,&nbsp;Xianbo Wang","doi":"10.1016/j.gloei.2024.07.001","DOIUrl":"10.1016/j.gloei.2024.07.001","url":null,"abstract":"<div><div>Given the rapid development of advanced information systems, microgrids (MGs) suffer from more potential attacks that affect their operational performance. Conventional distributed secondary control with a small, fixed sampling time period inevitably causes the wasteful use of communication resources. This paper proposes a self-triggered secondary control scheme under perturbations from false data injection (FDI) attacks. We designed a linear clock for each DG to trigger its controller at aperiodic and intermittent instants. Subsequently, a hash-based defense mechanism (HDM) is designed for detecting and eliminating malicious data infiltrated in the MGs. With the aid of HDM, a self-triggered control scheme achieves the secondary control objectives even in the presence of FDI attacks. Rigorous theoretical analyses and simulation results indicate that the introduced secondary control scheme significantly reduces communication costs and enhances the resilience of MGs under FDI attacks.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 1","pages":"Pages 1-12"},"PeriodicalIF":1.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A coherent generator group identification algorithm under extreme conditions","authors":"Yizhe Zhu ,&nbsp;Yulin Chen ,&nbsp;Li Li ,&nbsp;Donglian Qi ,&nbsp;Jinhua Huang ,&nbsp;Xudong Song","doi":"10.1016/j.gloei.2025.01.002","DOIUrl":"10.1016/j.gloei.2025.01.002","url":null,"abstract":"<div><div>With the rapid development of large-scale regional interconnected power grids, the risk of cascading failures under extreme conditions, such as natural disasters and military strikes, has increased significantly. To enhance the response capability of power systems to extreme events, this study focuses on a method for generator coherency detection. To overcome the shortcomings of the traditional slow coherency method, this paper introduces a novel coherent group identification algorithm based on the theory of nonlinear dynamical systems. By analyzing the changing trend of the Euclidean norm of the state variable derivatives in the reduced system, the algorithm can accurately identify the magnitude of the disturbances. Based on the slow coherency methods, the algorithm can correctly recognize coherent generator groups by analyzing system characteristics under varying disturbance magnitudes. This improvement enhances the applicability and accuracy of the coherency detection algorithm under extreme conditions, providing support for emergency control and protection in the power system. Simulations and comparison analyses on IEEE 39-bus system are conducted to validate the accuracy and superiority of the proposed coherent generator group identification method under extreme conditions.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 1","pages":"Pages 92-105"},"PeriodicalIF":1.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A transient stability assessment method for power systems incorporating residual networks and BiGRU-attention","authors":"Shan Cheng ,&nbsp;Qiping Xu ,&nbsp;Haidong Wang ,&nbsp;Zihao Yu ,&nbsp;Rui Wang ,&nbsp;Tao Ran","doi":"10.1016/j.gloei.2024.09.001","DOIUrl":"10.1016/j.gloei.2024.09.001","url":null,"abstract":"<div><div>The traditional transient stability assessment (TSA) model for power systems has three disadvantages: capturing critical information during faults is difficult, aperiodic and oscillatory unstable conditions are not distinguished, and poor generalizability is exhibited by systems with high renewable energy penetration. To address these issues, a novel ResGRU architecture for TSA is proposed in this study. First, a residual neural network (ResNet) is used for deep feature extraction of transient information. Second, a bidirectional gated recurrent unit combined with a multi-attention mechanism (BiGRU-Attention) is used to establish temporal feature dependencies. Their combination constitutes a TSA framework based on the ResGRU architecture. This method predicts three transient conditions: oscillatory instability, aperiodic instability, and stability. The model was trained offline using stochastic gradient descent with a thermal restart (SGDR) optimization algorithm in the offline training phase. This significantly improves the generalizability of the model. Finally, simulation tests on IEEE 145-bus and 39-bus systems confirmed that the proposed method has higher adaptability, accuracy, scalability, and rapidity than the conventional TSA approach. The proposed model also has superior robustness for PMU incomplete configurations, PMU noisy data, and packet loss.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 1","pages":"Pages 143-159"},"PeriodicalIF":1.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}