Global Energy Interconnection最新文献

{"title":"Performance assessment of meta-heuristic MPPT strategies for solar panels under complex partial shading conditions and load variation","authors":"Abdulbari Talib Naser ,&nbsp;Nur Fadilah Ab Aziz ,&nbsp;Karam Khairullah Mohammed ,&nbsp;Karmila binti Kamil ,&nbsp;Saad Mekhilef","doi":"10.1016/j.gloei.2025.03.004","DOIUrl":"10.1016/j.gloei.2025.03.004","url":null,"abstract":"<div><div>Weather variations present a major challenge for photovoltaic (PV) systems in obtaining the optimal output during maximum power point tracking (MPPT), particularly under partial shadowing conditions (PSCs). Bypass diodes are typically installed across the series-connected PV modules to avoid the occurrence of the hotspots. Consequently, the power curve exhibits several local peaks (LPs) and one global peak (GP). The conventional MPPTs typically become stuck in one of these LPs, presenting a significant decrease in both the power output and overall efficiency of the PV system. A major constraint of several optimization techniques is their inability to differentiate between the irradiance fluctuations and load alterations. In this study, we analyze seven different methods for MPPT. These include: the team game algorithm (TGA), social ki driver algorithm (SSD), differential evolution (DE), grey wolf optimization (GWO), particle swarm optimization (PSO), cuckoo search (CS), and the perturb and observe (P&amp;O) method. These algorithms were applied in practice, and their effectiveness was experimentally demonstrated under different amounts of solar irradiation while maintaining a constant temperature. The results indicate that the CS and TGA approaches can accurately track the MPPT across various positions on the P-V curve. These methods achieve average efficiencies of 99.59% and 99.54%, respectively. Additionally, the TGA achieves superior performance with the shortest average tracking time of 0.92 s, outperforming the existing MPPT algorithms.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 4","pages":"Pages 554-571"},"PeriodicalIF":2.6,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144902454","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":"Assessing the technical and economic potential of rooftop solar panels in Nador, Morocco, using advanced GIS methodology and remote sensing data","authors":"Rachid Lambarki ,&nbsp;Elmostafa Achbab ,&nbsp;Mehdi Maanan ,&nbsp;Hassan Rhinane","doi":"10.1016/j.gloei.2025.01.010","DOIUrl":"10.1016/j.gloei.2025.01.010","url":null,"abstract":"<div><div>The utilization of unused rooftops is a promising solution to meet the growing energy needs of urban areas. This study identifies the strategic locations for installing photovoltaic (PV) systems and assesses the energy production in Nador, Morocco, comparing various PV modules based on sunlight, while also integrating an economic analysis. A key innovation of this study lies in the novel application of LiDAR (Light Detection and Ranging) point clouds combined with photogrammetric restitution, enabling the construction of a 3D model of buildings. A Boolean multicriteria analysis was implemented to determine the effective surface area of each roof, considering parameters, such as slope, orientation, shadow, and accessibility, while excluding unsuitable buildings. A substantial area of 336 ha suitable for solar systems was identified, representing 61% of the total area of existing structures, with an average annual irradiation of 1,413.71 kWh/m². The CIS (copper/indium/selenium) PV module stands out as an attractive option, offering an energy capacity of 168.56 MWp and significant energy production of 311.35 GWh. Their moderate initial cost of 376.95 million USD makes them financially appealing with a feasible return on investment within 10 years. Environmentally, the CIS module contributes notably to reduced CO₂ emissions, thereby mitigating its environmental impact. By implementing the CIS module, solar energy production is expected to significantly exceed the estimated demand of the urban population. The data were integrated into a Geographic Information System to target roofs suitable for solar panels, forming the basis of an accurate solar cadastre. This study actively contributes to shaping a sustainable energy landscape by promoting environment-friendly solutions, thereby playing a role in transitioning to a more sustainable energy future in Nador.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 4","pages":"Pages 625-639"},"PeriodicalIF":2.6,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144902450","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":"Optimized control of grid-connected photovoltaic systems: Robust PI controller based on sparrow search algorithm for smart microgrid application","authors":"Youssef Akarne ,&nbsp;Ahmed Essadki ,&nbsp;Tamou Nasser ,&nbsp;Maha Annoukoubi ,&nbsp;Ssadik Charadi","doi":"10.1016/j.gloei.2025.05.004","DOIUrl":"10.1016/j.gloei.2025.05.004","url":null,"abstract":"<div><div>The integration of renewable energy sources into modern power systems necessitates efficient and robust control strategies to address challenges such as power quality, stability, and dynamic environmental variations. This paper presents a novel sparrow search algorithm (SSA)-tuned proportional-integral (PI) controller for grid-connected photovoltaic (PV) systems, designed to optimize dynamic performance, energy extraction, and power quality. Key contributions include the development of a systematic SSA-based optimization framework for real-time PI parameter tuning, ensuring precise voltage and current regulation, improved maximum power point tracking (MPPT) efficiency, and minimized total harmonic distortion (THD). The proposed approach is evaluated against conventional PSO-based and P&amp;O controllers through comprehensive simulations, demonstrating its superior performance across key metrics: a 39.47% faster response time compared to PSO, a 12.06% increase in peak active power relative to P&amp;O, and a 52.38% reduction in THD, ensuring compliance with IEEE grid standards. Moreover, the SSA-tuned PI controller exhibits enhanced adaptability to dynamic irradiance fluctuations, rapid response time, and robust grid integration under varying conditions, making it highly suitable for real-time smart grid applications. This work establishes the SSA-tuned PI controller as a reliable and efficient solution for improving PV system performance in grid-connected scenarios, while also setting the foundation for future research into multi-objective optimization, experimental validation, and hybrid renewable energy systems.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 4","pages":"Pages 523-536"},"PeriodicalIF":2.6,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144902452","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":"Signal processing and machine learning techniques in DC microgrids: a review","authors":"Kanche Anjaiah ,&nbsp;Jonnalagadda Divya ,&nbsp;Eluri N.V.D.V. Prasad ,&nbsp;Renu Sharma","doi":"10.1016/j.gloei.2025.05.002","DOIUrl":"10.1016/j.gloei.2025.05.002","url":null,"abstract":"<div><div>Low-voltage direct current (DC) microgrids have recently emerged as a promising and viable alternative to traditional alternating current (AC) microgrids, offering numerous advantages. Consequently, researchers are exploring the potential of DC microgrids across various configurations. However, despite the sustainability and accuracy offered by DC microgrids, they pose various challenges when integrated into modern power distribution systems. Among these challenges, fault diagnosis holds significant importance. Rapid fault detection in DC microgrids is essential to maintain stability and ensure an uninterrupted power supply to critical loads. A primary challenge is the lack of standards and guidelines for the protection and safety of DC microgrids, including fault detection, location, and clearing procedures for both grid-connected and islanded modes. In response, this study presents a brief overview of various approaches for protecting DC microgrids.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 4","pages":"Pages 598-624"},"PeriodicalIF":2.6,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144902458","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":"Study on the investment and construction models and value assessment of shared energy storage in the context of the new power system","authors":"Yuanying Chi,&nbsp;Zihang Jin,&nbsp;Xufeng Zhang,&nbsp;Yanzhao Zhang,&nbsp;Yuxi Wu,&nbsp;Junqi Wang","doi":"10.1016/j.gloei.2025.07.002","DOIUrl":"10.1016/j.gloei.2025.07.002","url":null,"abstract":"<div><div>New energy-storage systems play a pivotal role in the development of the new power system for advancing the energy transition in China. In the “14th Five-Year Plan” for the New Energy-Storage Development, it is proposed to expand investment and construction models by promoting the deployment of energy-storage facilities through the ways of self-construction, leasing, and purchasing, and to encourage the development of the shared energy-storage. However, the current scarcity in the model of the shared energy-storage investment and construction substantially restricts its development, particularly due to unclear mechanisms for cost and benefit allocation, which also discourages potential investors. To address the issue, this paper proposes investment and construction models for shared energy-storage that aligns with the present stage of energy storage development. In specific, three main models are introduced: (1) Centralized Self-built Shared Energy-Storage model (CSSES), (2) Third-party Investment Shared Energy-Storage model (TISES), and (3) Distributed Self-built Shared Energy Storage (DSSES) model. The cost–benefit analysis is conducted for each model. The results indicate that the CSSES model achieves the highest internal rate of return (11.5%) and the shortest payback period, while the DSSES model performs acceptable with an IRR of 9.4%. In contrast, the TISES model shows the lowest IRR (6.7%) and requires higher electricity price for being feasible. Furthermore, the study employs the entropy weight method and the analytic hierarchy process (AHP) for indicator evaluation, and integrates the technique for order preference by the similarity to an ideal solution (TOPSIS) for scheme optimization. The results show that both the CSSES model and the DSSES model achieve the highest proximity scores. Under environmental regulations, these models demonstrate superior economic benefits by optimizing energy storage utilization, reducing user costs, and enhancing overall profitability.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 4","pages":"Pages 700-718"},"PeriodicalIF":2.6,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144903165","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":"Demand Response in power off-grid microgrids in Nigeria: a game theory approach","authors":"Racine Diatta,&nbsp;Rodica Loisel,&nbsp;Lionel Richefort","doi":"10.1016/j.gloei.2025.06.003","DOIUrl":"10.1016/j.gloei.2025.06.003","url":null,"abstract":"<div><div>Most developing countries continue to face challenges in accessing sustainable energy. This study investigates a solar panel and battery-powered system for an urban off-grid microgrid in Nigeria, where demand-side flexibility and strategic interactions between households and utilities can optimize system sizing. A nonlinear programming model is built using bilevel problem formulation that incorporates both the households’ willingness to reduce their energy consumption and the utility’s agreement to provide price rebates. The results show that, for an energy community of 10 households with annual energy demand of 7.8 MWh, an oversized solar-storage system is required (12 kWp of photovoltaic solar panels and 26 kWh of battery storage). The calculated average cost of 0.31 €/kWh is three times higher than the current tariff, making it unaffordable for most Nigerian households. To address this, the utility company could implement Demand Response programs with direct load control that delay the use of certain appliances, such as fans, irons and air conditioners. If these measures reduce total demand by 5%, both the required system size and overall costs could decrease significantly, by approximately one-third. This adjustment leads to a reduced tariff of 0.20 €/kWh. When Demand Response is implemented through negotiation between the utility and households, the amount of load-shaving achieved is lower. This is because households experience discomfort from curtailment and are generally less willing to provide flexibility. However, negotiation allows for greater flexibility than direct control, due to dynamic interactions and more active consumer participation in the energy transition. Nonetheless, tariffs remain higher than current market prices. Off-grid contracts could become competitive if financial support is provided, such as low-interest loans and capital grants covering up to 75% of the upfront cost.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 4","pages":"Pages 581-597"},"PeriodicalIF":2.6,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144902361","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":"A novel balance method for determining the energy efficiency of electric traction networks","authors":"Konstantin Suslov ,&nbsp;Andrey Kryukov ,&nbsp;Aleksandr Cherepanov ,&nbsp;Andrey Batukhtin ,&nbsp;Yanhong. Luo","doi":"10.1016/j.gloei.2025.04.005","DOIUrl":"10.1016/j.gloei.2025.04.005","url":null,"abstract":"<div><div>Modern electric traction networks (ETN) are equipped with automated systems for commercial accounting of power consumption (ASCAPC), which allows solving properly the problems of enhancing the energy efficiency of transportation processes. Energy efficiency of ETNs is defined as the amount of power losses in ETN components: overhead catenary systems and traction transformers. Due to the instability of traction loads and changes in their location in space, the electric traction network is different from the general network. It is necessary to develop an approach for loss analysis in traction networks and in transformers of traction substations. To solve this problem, a balance-based technique for power loss calculation in traction networks based on ASCAPC data is proposed. First, the balance-based technique presented here breaks down the power consumption of the train by source. Then, calculates technical power losses in 25 and 2 × 25 kV traction networks as well as in traction transformers. Last, the technique is implemented in the form of an algorithm tested on real-life data and it is ready for practical use.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 4","pages":"Pages 640-656"},"PeriodicalIF":2.6,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144902451","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":"Electrical and aging modeling of PEM water electrolyzers for sustainable hydrogen production: Insights into behavior, degradation, and reliability","authors":"Haniyeh Marefat,&nbsp;Francois Auger,&nbsp;Jean-Christophe Olivier,&nbsp;Mohammed Rharda","doi":"10.1016/j.gloei.2025.06.004","DOIUrl":"10.1016/j.gloei.2025.06.004","url":null,"abstract":"<div><div>Proton Exchange Membrane Water Electrolyzers (PEMWE) are efficient and sustainable hydrogen production devices. This article analyzes their static and dynamic electrical models integrated with degradation mechanisms. Static models reveal steady-state behavior, while dynamic models capture transient responses to input variations. The developed modeling approach combines the activation and diffusion phenomena, resulting in a novel PEMWE model that closely reflects real-world conditions and enables fast simulations. The electrical model is integrated with the aging model through two key ratios, surface degradation ratio and membrane degradation ratio, which characterize degradation mechanisms affecting electrode and membrane performance. The linear model using second-order Taylor approximation enables the development of a diagnosis approach that can contribute to estimating the remaining useful life of PEMWEs. By associating aging models with electrical models through the proposed ratios, a deeper understanding is achieved regarding how degradation phenomena evolve and influence electrolyzer efficiency and durability. The integrated framework enables predictive maintenance strategies, making it valuable for industrial hydrogen production applications.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 4","pages":"Pages 537-553"},"PeriodicalIF":2.6,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144902453","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":"Comparative analysis of GA and PSO algorithms for optimal cost management in on-grid microgrid energy systems with PV-battery integration","authors":"Mouna EL-Qasery ,&nbsp;Ahmed Abbou ,&nbsp;Mohamed Laamim ,&nbsp;Lahoucine Id-Khajine ,&nbsp;Abdelilah Rochd","doi":"10.1016/j.gloei.2025.05.003","DOIUrl":"10.1016/j.gloei.2025.05.003","url":null,"abstract":"<div><div>The advent of microgrids in modern energy systems heralds a promising era of resilience, sustainability, and efficiency. Within the realm of grid-tied microgrids, the selection of an optimal optimization algorithm is critical for effective energy management, particularly in economic dispatching. This study compares the performance of Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) in microgrid energy management systems, implemented using MATLAB tools. Through a comprehensive review of the literature and simulations conducted in MATLAB, the study analyzes performance metrics, convergence speed, and the overall efficacy of GA and PSO, with a focus on economic dispatching tasks. Notably, a significant distinction emerges between the cost curves generated by the two algorithms for microgrid operation, with the PSO algorithm consistently resulting in lower costs due to its effective economic dispatching capabilities. Specifically, the utilization of the PSO approach could potentially lead to substantial savings on the power bill, amounting to approximately $15.30 in this evaluation. The findings provide insights into the strengths and limitations of each algorithm within the complex dynamics of grid-tied microgrids, thereby assisting stakeholders and researchers in arriving at informed decisions. This study contributes to the discourse on sustainable energy management by offering actionable guidance for the advancement of grid-tied microgrid technologies through MATLAB-implemented optimization algorithms.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 4","pages":"Pages 572-580"},"PeriodicalIF":2.6,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144902455","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":"Peer-to-peer transaction with voltage management strategy in distribution network considering trading risk","authors":"Lei Dong ,&nbsp;Kuang Zhang ,&nbsp;Shiming Zhang ,&nbsp;Tao Zhang ,&nbsp;Ye Li ,&nbsp;Ji Qiao","doi":"10.1016/j.gloei.2025.02.004","DOIUrl":"10.1016/j.gloei.2025.02.004","url":null,"abstract":"<div><div>P2P trading is driving the decentralization of the electricity market, the autonomy and privacy requirements of prosumers may introduce safety risks such as voltage violations. Existing security management methods based on price guidance may face unsolvable situations in trading scenarios and have difficulty assessing the impact of P2P transactions on voltage security. To this end, this paper proposes a novel distribution system operator (DSO)-prosumers bi-level optimization framework incorporating the dynamic operating envelope (DOE) and risk coefficient-based network usage charge (RC-NUC). In the upper-level, the DOE is employed for dynamic voltage management to prevent violations while the RC-NUC further guides prosumers to engage in grid-friendly transactions. The lower-level decentralized market enables prosumers to optimize trading decisions autonomously. Only price signals and energy quantities are exchanged between the two levels, ensuring the privacy of both parties. Additionally, an alternating direction method of multipliers (ADMM) with adaptive penalty factor is introduced to improve computational efficiency. Case studies on a modified IEEE 33-bus system demonstrate that the proposed method reduces voltage violation risks by 18.31% and enhances trading efficiency by 32.3%. These results highlight the feasibility and effectiveness of the approach in advancing secure and efficient distributed energy transactions.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 4","pages":"Pages 685-699"},"PeriodicalIF":2.6,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144902456","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}