Global Energy Interconnection最新文献

Empowering PV system modeling and forecasting: a review of public benchmark datasets 授权光伏系统建模和预测：对公共基准数据集的回顾

IF 2.6

Global Energy Interconnection Pub Date : 2026-04-01 Epub Date: 2026-03-26 DOI: 10.1016/j.gloei.2026.03.001

Bochao Zhao , Yaqing Wang , Wenpeng Luan , Hanju Cai

{"title":"Empowering PV system modeling and forecasting: a review of public benchmark datasets","authors":"Bochao Zhao , Yaqing Wang , Wenpeng Luan , Hanju Cai","doi":"10.1016/j.gloei.2026.03.001","DOIUrl":"10.1016/j.gloei.2026.03.001","url":null,"abstract":"<div><div>Driven by the high penetration of renewable energy, the inherent intermittency of photovoltaic (PV) generation poses severe challenges to grid stability. To manage this volatility and ensure reliable grid integration, precise PV system modeling and power forecasting have emerged as critical solutions. However, existing research predominantly focuses on algorithmic innovations and model architectures, frequently overlooking the foundational role of dataset selection. Because capturing the complex spatiotemporal dynamics of solar generation increasingly requires the integration of diverse data types, understanding how to select and fuse these multimodal sources is crucial for determining the upper bound of predictive performance. To address the persistent fragmentation of data resources in PV predictive modeling, this paper delivers a comprehensive taxonomy of publicly available benchmark datasets, establishing a roadmap for future data-driven research. We categorize these valuable resources into three core pillars: 1) meteorological datasets (encompassing observational, synthetic, hybrid, and reanalysis types); 2) PV generation datasets (grouped by temporal resolution); and 3) static system parameters (including plant-level geospatial data and module-level physical properties). Building upon this categorization, this review thoroughly examines multimodal data fusion strategies across various forecasting horizons and elucidates the specific data dependencies of persistence, physical, and data-driven modeling paradigms. Furthermore, we critically analyze key challenges in multi-source data fusion, particularly spatiotemporal misalignment and the lack of standardized quality control flags. Ultimately, this work provides researchers with an authoritative guide for robust data selection and model construction.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"9 2","pages":"Pages 219-242"},"PeriodicalIF":2.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807771","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}

引用次数: 0

Coordinated operation of multi-terminal SOP enabled multi-level multi-energy system considering coupled electrical and thermal demand response 考虑耦合电、热需求响应的多端SOP多级能系统协同运行

IF 2.6

Global Energy Interconnection Pub Date : 2026-04-01 Epub Date: 2025-12-27 DOI: 10.1016/j.gloei.2025.09.002

Feng Bi , Da Xu , Ziyi Bai , Dongjie Shi

{"title":"Coordinated operation of multi-terminal SOP enabled multi-level multi-energy system considering coupled electrical and thermal demand response","authors":"Feng Bi , Da Xu , Ziyi Bai , Dongjie Shi","doi":"10.1016/j.gloei.2025.09.002","DOIUrl":"10.1016/j.gloei.2025.09.002","url":null,"abstract":"<div><div>The increasing integration of distributed generation (DG) into distribution systems poses significant challenges such as voltage violations and line overloads. With the growing coupling between electrical and thermal energy carriers, developing coordinated strategies for multi-energy systems has become essential to accommodate high DG penetration levels. However, most existing studies primarily address single-level multi-energy systems, leaving the flexible interconnection potential of multi-level configurations largely unexplored. This paper proposes a coordinated operation framework for multi-level multi-energy systems based on an energy storage-integrated multi-terminal soft open point (SOP) configuration. The overall system architecture, comprising multi-voltage distribution networks and multi-level heating systems, is first presented. By integrating IoT-enabled electrical and thermal demand response, a coordinated energy storage-integrated multi-terminal SOP model is developed to minimize both planning and operational costs. Case studies conducted on a representative multi-level multi-energy system verify the effectiveness of the proposed approach, demonstrating its superior operational flexibility and notable economic benefits.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"9 2","pages":"Pages 386-404"},"PeriodicalIF":2.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807775","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}

引用次数: 0

Performance analysis of diffuser-augmented wind turbines with swept rotor 带掠型转子的扩压型风力机性能分析

IF 2.6

Global Energy Interconnection Pub Date : 2026-04-01 Epub Date: 2025-11-17 DOI: 10.1016/j.gloei.2025.10.002

Jean C.A. Nobre , Silvia C.P. Andrade , David L.P. Sousa , Tamara Guimarães , Silvio B. Vale , Jerson R.P. Vaz

{"title":"Performance analysis of diffuser-augmented wind turbines with swept rotor","authors":"Jean C.A. Nobre , Silvia C.P. Andrade , David L.P. Sousa , Tamara Guimarães , Silvio B. Vale , Jerson R.P. Vaz","doi":"10.1016/j.gloei.2025.10.002","DOIUrl":"10.1016/j.gloei.2025.10.002","url":null,"abstract":"<div><div>This work presents a novel performance analysis model of diffuser-augmented wind turbines (DAWT) with swept blades, considering the influence of diffuser efficiency and thrust. Blade element momentum theory (BEMT) is extended to incorporate the effect of blade sweep at each radial position along the rotor. An algorithm is developed and implemented to evaluate the performance of wind turbines with diffuser and sweep effect based on the BEMT model. The impact of the diffuser is assessed through the augmentation factor, defined as the ratio between the turbine efficiency and the Betz-Joukowsky limit. The comparison between the experiment and the algorithm considers the same rotor and diffuser geometry used by Hoopen [<span><span>1</span></span>]. The straight blade is optimized to include the sweep effect. The model is validated using the experimental results provided by Hoopen [<span><span>1</span></span>], which include a power output of 531.0 W, a torque of 7.10 Nm, and a thrust coefficient of 0.80. The simulations using the proposed model with straight blades result in power of 532.6 W, torque of 7.10 Nm, and thrust coefficient of 0.77, compared to power of 531.0 W, torque of 7.10 Nm, and thrust coefficient of 0.80 from the experimental data. The optimized rotor with a forward sweep effect at 40° presented the highest power at 541.60 W, torque of 7.22 Nm, and a thrust coefficient of 0.63. Furthermore, the optimized rotor with backward sweep effect of 30° resulted in the highest power at 542.3 W, torque of 7.23 Nm, and a thrust coefficient of 0.69. The augmentation factor and power coefficient achieved a good gain in performance with the rotor optimized at 30° and 40°. Therefore, applying the sweep effect in a DAWT can result in a considerable increase in energy production.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"9 2","pages":"Pages 405-418"},"PeriodicalIF":2.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807776","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}

引用次数: 0

A context-driven dynamic modeling method for ultra-short-term wind power forecasting 一种情景驱动的超短期风电预测动态建模方法

IF 2.6

Global Energy Interconnection Pub Date : 2026-04-01 Epub Date: 2026-02-18 DOI: 10.1016/j.gloei.2025.09.006

Xuanru Chen , Han Wang , Yuhao Li , Jie Yan , Shuang Han , Yongqian Liu

{"title":"A context-driven dynamic modeling method for ultra-short-term wind power forecasting","authors":"Xuanru Chen , Han Wang , Yuhao Li , Jie Yan , Shuang Han , Yongqian Liu","doi":"10.1016/j.gloei.2025.09.006","DOIUrl":"10.1016/j.gloei.2025.09.006","url":null,"abstract":"<div><div>Ultra-short-term wind power forecasting is a critical technology for ensuring secure and stable operation of power systems and promoting new energy integration. Current research usually employ offline models, some scholars study on online modeling strategies to address the problem of concept drift, but have difficulty in determining model update timing and catastrophic forgetting. Therefore, a context-driven dynamic modeling method for ultra-short-term wind power forecasting is proposed in this paper, including three components: initial model construction, online concept drift detection, and online model fine-tuning. First, a sequence-to-sequence model is adopted to construct the initial forecasting model based on all historical power data. Then, the divergence degree of contextual relevance among samples similar to model’s inputs is calculated for online concept drift detection. Finally, numerical weather prediction (NWP) are introduced to obtain a sample set with both similar input power and NWP wind speed if concept drift is detected, thereby enabling online model fine-tuning. Operational data of two wind farms in China is used to verify the effectiveness and robustness of the proposed method. Results show that, compared with offline and three traditional online methods, the proposed method improves forecasting accuracy by 15.60% to 17.92% and 11.92% to 15.30% under five basic models, respectively, when root mean squared error is used as the evaluation index.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"9 2","pages":"Pages 243-254"},"PeriodicalIF":2.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147808098","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}

引用次数: 0

Empowering the grid: A comprehensive review of vehicle-to-grid technology, digital twins, and intelligent energy systems 赋予电网力量：对车辆到电网技术、数字孪生和智能能源系统的全面回顾

IF 2.6

Global Energy Interconnection Pub Date : 2026-04-01 Epub Date: 2026-03-12 DOI: 10.1016/j.gloei.2026.01.002

Nagarajan Munusamy, Indragandhi Vairavasundaram

{"title":"Empowering the grid: A comprehensive review of vehicle-to-grid technology, digital twins, and intelligent energy systems","authors":"Nagarajan Munusamy, Indragandhi Vairavasundaram","doi":"10.1016/j.gloei.2026.01.002","DOIUrl":"10.1016/j.gloei.2026.01.002","url":null,"abstract":"<div><div>The market for electric vehicles is booming. This surge poses challenges for power systems as the simultaneous charging of electric vehicles occurs without enough organization. This situation may slow our transition to clean energy. An innovative approach in Electric Vehicles (EVs) is Vehicle-to-Grid (V2G) technology, which allows EVs to interact with the power grid and become active participants in the energy system rather than passive consumers. By transferring unused battery power from vehicles to the grid, this technology can help balance electricity supply and demand, particularly during peak periods. This review examines the functionality of V2G systems, including their architecture, communication protocols, converter technology, battery performance and degradation rates, and various control methods (from traditional techniques to machine learning approaches), as well as security issues. Digital twins are highly significant. They are utilized for virtual replicas, real-time observation, estimating battery health, and assessing feasibility within Distributed Energy Resource Management Systems (DERMS). This assessment contrasts traditional methods with emerging technologies such as machine learning for predictive analytics, IoT, and blockchain, considering current offerings and anticipated market introductions by 2026. These viewpoints offer crucial guidance to stakeholders in building sustainable, intelligent energy systems.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"9 2","pages":"Pages 275-297"},"PeriodicalIF":2.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807769","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}

引用次数: 0

Optimal scheduling of renewable energy system based on probabilistic power balance under dynamic frequency security 动态频率安全下基于概率功率均衡的可再生能源系统优化调度

IF 2.6

Global Energy Interconnection Pub Date : 2026-04-01 Epub Date: 2026-01-06 DOI: 10.1016/j.gloei.2025.12.001

Zhiwei Li, Jiakai Wang, Nayang Dong, Yuze Zhao

{"title":"Optimal scheduling of renewable energy system based on probabilistic power balance under dynamic frequency security","authors":"Zhiwei Li, Jiakai Wang, Nayang Dong, Yuze Zhao","doi":"10.1016/j.gloei.2025.12.001","DOIUrl":"10.1016/j.gloei.2025.12.001","url":null,"abstract":"<div><div>Aiming at the issues of reduced power system inertia, increased source − load uncertainties, and exacerbated frequency security risks caused by the integration of high − penetration renewable energy and power electronic devices, this paper innovatively prioritizes frequency security in dispatch decisions and proposes an optimal scheduling model that integrates dynamic frequency security constraints and probabilistic power balance. Specifically, a dynamic frequency response model incorporating wind turbines and energy storage is established, and a frequency security margin is introduced to convert frequency constraints into power constraints that can be directly embedded in the dispatch model. Meanwhile, based on the Wasserstein metric, the differences in the probabilistic distributions of source and load power are quantified, and a probabilistic power balance model is constructed to reduce supply − demand deviations. Ultimately, a multi − objective optimization framework is formed to achieve the coordinated optimization of frequency security and economic efficiency. Simulation verification shows that the proposed model can control frequency deviations within the safety threshold (reducing the maximum deviation by 0.23 Hz compared to the unconstrained scenario). Compared with traditional deterministic models, the total cost is reduced by 15.7%, and the wind curtailment cost is reduced by 22.1%. Additionally, when the frequency security constraint and probabilistic balance act synergistically, the system achieves the optimal comprehensive benefits, with an additional 6.6% reduction in the total cost. This provides an effective solution for the secure and economic dispatch of power systems with high penetration renewable energy under the bidirectional uncertainties of source and load.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"9 2","pages":"Pages 337-355"},"PeriodicalIF":2.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807772","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}

引用次数: 0

Optimized design and energy management of a hybrid electric traction substation integrating photovoltaic generation and storage systems: case study of the Moroccan railway network 集成光伏发电和存储系统的混合电力牵引变电站的优化设计和能源管理：摩洛哥铁路网案例研究

IF 2.6

Global Energy Interconnection Pub Date : 2026-04-01 Epub Date: 2026-03-04 DOI: 10.1016/j.gloei.2026.02.002

Mohamed Amine Ouaid, Mohammed Ouassaid

{"title":"Optimized design and energy management of a hybrid electric traction substation integrating photovoltaic generation and storage systems: case study of the Moroccan railway network","authors":"Mohamed Amine Ouaid, Mohammed Ouassaid","doi":"10.1016/j.gloei.2026.02.002","DOIUrl":"10.1016/j.gloei.2026.02.002","url":null,"abstract":"<div><div>The integration of renewable energy sources into railway traction substations has become a strategic priority to reduce operational costs and CO<sub>2</sub> emissions. This paper presents a novel optimization framework specifically designed for Hybrid Traction Substations (HTS), which differ from conventional microgrids due to their traction-specific load dynamics, bidirectional energy flows, and grid-integration constraints. A stochastic multi-objective optimization model is developed to jointly minimize total system cost and maximize renewable energy utilization, while accounting for Moroccan grid code restrictions, including the prohibition of reverse power injection and the absence of braking energy recovery. Solar irradiance uncertainty is captured via historical data clustering with K-means, enabling efficient computation and robust sizing. The optimization is solved with a Multi-Objective Particle Swarm Optimization (MOPSO) algorithm, demonstrating reliable performance. Seasonal load and irradiance profiles are incorporated to ensure representative results, and a sensitivity analysis on key economic and operational parameters confirms the robustness of the optimized solutions. A case study of the Asilah substation highlights Pareto trade-offs between investment cost, operational cost, and renewable penetration, confirming the framework’s effectiveness, scalability, and practical relevance for decarbonizing railway electrification.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"9 2","pages":"Pages 356-371"},"PeriodicalIF":2.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807773","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}

引用次数: 0

Electrical power generation in Antarctica: challenges, opportunities and future work for Turkish Antarctic Research Station 南极洲的发电：土耳其南极研究站的挑战、机遇和未来工作

IF 2.6

Global Energy Interconnection Pub Date : 2026-04-01 Epub Date: 2025-12-04 DOI: 10.1016/j.gloei.2025.10.007

Muhammad Fahad Shinwari , Norhafidzah Mohd Saad , Erhan Arslan , Burcu Özsoy , Muhamad Zahim Sujod

{"title":"Electrical power generation in Antarctica: challenges, opportunities and future work for Turkish Antarctic Research Station","authors":"Muhammad Fahad Shinwari , Norhafidzah Mohd Saad , Erhan Arslan , Burcu Özsoy , Muhamad Zahim Sujod","doi":"10.1016/j.gloei.2025.10.007","DOIUrl":"10.1016/j.gloei.2025.10.007","url":null,"abstract":"<div><div>Antarctica’s extreme environment, marked by frigid temperatures, fierce winds, and prolonged periods of darkness, presents significant challenges for sustaining energy needs at research stations. The Turkish Antarctic Research Station (TARS), located on Horseshoe Island, represents a strategic opportunity to explore renewable energy solutions to overcome logistical, environmental, and operational challenges associated with conventional fossil fuel reliance. This paper provides a comprehensive assessment of the potential for renewable energy (RE) power generation in Antarctica, focusing on challenges, opportunities, and future work for TARS. The study begins with an overview of existing Antarctic stations, highlighting installations with renewable energy systems, such as Princess Elisabeth Station and McMurdo Station. The integration of renewable energy at these facilities underscores the viability and limitations of current technologies. Key challenges, including extreme weather, logistical complexities, and technological barriers, are examined, along with opportunities to harness the continent’s abundant wind and solar resources. The paper further proposes a renewable energy framework for TARS on Horseshoe Island. Using Random Forest Regression and Grey Wolf Optimization, optimal sizing and placement for wind, solar PV, and battery systems are determined, considering local weather conditions and future load demands. The proposed system also incorporates advanced energy storage and optimized power flow within the TARS microgrid. This research aims to establish a sustainable energy model for TARS, reduce its carbon footprint, and contribute to global efforts to transition Antarctic research stations towards renewable energy-based solutions.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"9 2","pages":"Pages 419-436"},"PeriodicalIF":2.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807777","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}

引用次数: 0

AI-driven forecasting of the world energy index: The role of Iraq’s GDP in global energy interconnection 人工智能驱动的世界能源指数预测：伊拉克GDP在全球能源互联中的作用

IF 2.6

Global Energy Interconnection Pub Date : 2026-04-01 Epub Date: 2026-02-26 DOI: 10.1016/j.gloei.2025.09.007

Hawraa H. Abbas , Blessing Olamide Taiwo , Angesom Gebretsadik , Esma Kahraman , Yewuhalashet Fissha , Mohammad Khishe , N. Rao Cheepurupalli

{"title":"AI-driven forecasting of the world energy index: The role of Iraq’s GDP in global energy interconnection","authors":"Hawraa H. Abbas , Blessing Olamide Taiwo , Angesom Gebretsadik , Esma Kahraman , Yewuhalashet Fissha , Mohammad Khishe , N. Rao Cheepurupalli","doi":"10.1016/j.gloei.2025.09.007","DOIUrl":"10.1016/j.gloei.2025.09.007","url":null,"abstract":"<div><div>Energy indices are essential for analyzing global energy trends and their economic and societal impacts. These indices guide investment decisions, set performance standards, and help mitigate risks in energy assets. They are crucial for monitoring energy security, identifying supply chain vulnerabilities, and shaping policies to improve efficiency, sustainability, and fair energy distribution. This study employs mathematical-based artificial intelligence models to forecast the World Energy Index (WEI) using nine parameters, including Iraq’s GDP. Mathematical-based artificial intelligence (AI) models that rely on extensive data have demonstrated significant promise in utilizing enormous datasets and capturing intricate correlations for the goal of making predictions. Twelve AI models were tested, with the Gaussian Process Regression-Exponential Kernel model showing superior performance, with a training result <em>M</em><sub>SE</sub> = 0.011501, <em>R</em><sub>MSE</sub> = 0.107243, <em>V</em><sub>AF</sub> = 0.9998, <em>M</em><sub>AE</sub> = 0.0638, <em>M</em><sub>APE</sub> = 0.0800, <em>R</em><sup>2</sup> = 0.9999, <em>P</em><sub>EI</sub> = 1.9197, and testing result <em>M</em><sub>SE</sub> = 298.5360, <em>R</em><sub>MSE</sub> = 17.2782, <em>V</em><sub>AF</sub> = 0.9608, <em>M</em><sub>AE</sub> = 6.1548, <em>M</em><sub>APE</sub> = 3.0699, <em>R</em><sup>2</sup> = 0.9660, <em>P</em><sub>EI</sub> = −1.1430. The findings offer valuable insights for policymakers and investors to make informed decisions in energy markets. Mathematical-based artificial intelligence (AI) models that rely on extensive data have demonstrated significant promise in utilizing enormous datasets and capturing intricate correlations for the goal of making predictions.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"9 2","pages":"Pages 255-274"},"PeriodicalIF":2.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147808099","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}

引用次数: 0

An ethical assessment framework for AI security and ethics in smart grid 智能电网人工智能安全伦理评估框架

IF 2.6

Global Energy Interconnection Pub Date : 2026-04-01 Epub Date: 2025-11-21 DOI: 10.1016/j.gloei.2025.10.006

Yiying Zhang , Congcong Zhao , Ziang Meng , Chun Sing Lai , Xi Chen

{"title":"An ethical assessment framework for AI security and ethics in smart grid","authors":"Yiying Zhang , Congcong Zhao , Ziang Meng , Chun Sing Lai , Xi Chen","doi":"10.1016/j.gloei.2025.10.006","DOIUrl":"10.1016/j.gloei.2025.10.006","url":null,"abstract":"<div><div>The advancement of smart grid, facilitated by the extensive integration of information communication, automated control, and artificial intelligence (AI) technologies, signifies a significant transformation of the power system towards holistic perception, intelligent management, and secure operation. This article focuses on the security and ethical compliance of smart grid, intending to offer guiding insights for this new technological domain. This study initially delineates the potential applications, technical attributes, and design of smart grid, followed by a thorough examination of the security threats and ethical dilemmas arising from technological advancements. This study examines the pivotal role of AI in smart grid and its intricate interplay with security and ethical concerns. It performs a comprehensive analysis of the possible technical deficiencies and ethical challenges of AI systems in smart grid and assesses the extensive repercussions that these difficulties may entail. This study presents a security ethics evaluation methodology for smart grid, which thoroughly examines the ethical implications of AI technology in power grid applications and identifies existing obstacles and threats. This paper conducts a thorough policy analysis to evaluate the present security and ethical conditions of smart grid, with the objective of offering substantive theoretical support to enhance their security and ethical advancement, thereby fostering their healthy and sustainable development.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"9 2","pages":"Pages 298-314"},"PeriodicalIF":2.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807770","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}

引用次数: 0