Peishuai Li , Yihan Wang , Tao Zheng , Yulong Jin , Weizhi Yuan , Wenwen Guo
{"title":"Coordinated optimization of P2P energy trading and network operation for active distribution network with multi-microgrids","authors":"Peishuai Li , Yihan Wang , Tao Zheng , Yulong Jin , Weizhi Yuan , Wenwen Guo","doi":"10.1016/j.gloei.2025.01.007","DOIUrl":"10.1016/j.gloei.2025.01.007","url":null,"abstract":"<div><div>Microgrids (MGs) and active distribution networks (ADNs) are important platforms for distributed energy resource (DER) consumption. The increasing penetration of DERs has motivated the development ADNs coupled with MGs. This paper proposes a distributed co-optimization method for peer-to-peer (P2P) energy trading and network operation for an ADN integrated with multiple microgrids (MMGs). A framework that optimizes P2P energy trading among MMGs and ADN operations was first established. Subsequently, an energy management model that aims to minimize the operation and energy trading costs was constructed for each MG. Accordingly, the MMGs’ cooperative game model was established based on Nash bargaining theory to incentivize each stakeholder to participate in P2P energy trading, and a distributed solution method based on the alternating direction method of multipliers was developed. Moreover, an algorithm that adjusts the amount of energy trading between the ADN and MG is proposed to ensure safe operation of the distribution network. With the communication between the MG and ADN, the MMGs’ P2P trading and ADN operations are optimized in a coordinated manner. Finally, numerical simulations were conducted to verify the accuracy and effectiveness of the proposed method.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 3","pages":"Pages 474-485"},"PeriodicalIF":1.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502832","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}
Hussein A. Kazem , Miqdam T. Chaichan , Ali H.A. Al-Waeli , K. Sopian , Waheeb E. Alnaser , Lawrence Kazmerski , Naser W. Alnaser
{"title":"A review of photovoltaic/thermal (PV/T) incorporation in the hydrogen production process","authors":"Hussein A. Kazem , Miqdam T. Chaichan , Ali H.A. Al-Waeli , K. Sopian , Waheeb E. Alnaser , Lawrence Kazmerski , Naser W. Alnaser","doi":"10.1016/j.gloei.2025.03.001","DOIUrl":"10.1016/j.gloei.2025.03.001","url":null,"abstract":"<div><div>Integrating the photovoltaic/thermal (PV/T) system in green hydrogen production is an improvement in sustainable energy technologies. In PV/T systems, solar energy is converted into electricity and thermal energy simultaneously using hot water or air together with electricity. This dual use saves a significant amount of energy and officially fights greenhouse gases. Different cooling techniques have been proposed in the literature for improving the overall performance of the PV/T systems; employing different types of agents including nanofluids and phase change materials. Hydrogen is the lightest and most abundant element in the universe and has later turned into a flexible energy carrier for transportation and other industrial applications. Issues, including the processes of Hydrogen manufacturing, preservation as well as some risks act as barriers. This paper provides an analysis of several recent publications on the efficiency of using PV/T technology in the process of green hydrogen production and indicates the potential for its increased efficiency as compared to conventional systems that rely on fossil fuels. Due to the effective integration of solar energy, the PV/T system can play an important role in the reduction of the levelized cost of hydrogen (LCOH) and hence play an important part in reducing the economic calculations of the decarbonized energy system.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 3","pages":"Pages 363-393"},"PeriodicalIF":1.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502756","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 capacity value of demand flexibility from aggregated small Internet data centers in power distribution systems","authors":"Bo Zeng, Xinzhu Xu, Fulin Yang","doi":"10.1016/j.gloei.2024.08.013","DOIUrl":"10.1016/j.gloei.2024.08.013","url":null,"abstract":"<div><div>With the advent of the digital economy, there has been a rapid proliferation of small-scale Internet data centers (SIDCs). By leveraging their spatiotemporal load regulation potential through data workload balancing, aggregated SIDCs have emerged as promising demand response (DR) resources for future power distribution systems. This paper presents an innovative framework for assessing capacity value (CV) by aggregating SIDCs participating in DR programs (SIDC-DR). Initially, we delineate the concept of CV tailored for aggregated SIDC scenarios and establish a metric for the assessment. Considering the effects of the data load dynamics, equipment constraints, and user behavior, we developed a sophisticated DR model for aggregated SIDCs using a data network aggregation method. Unlike existing studies, the proposed model captures the uncertainties associated with end tenant decisions to opt into an SIDC-DR program by utilizing a novel uncertainty modeling approach called Z-number formulation. This approach accounts for both the uncertainty in user participation intentions and the reliability of basic information during the DR process, enabling high-resolution profiling of the SIDC-DR potential in the CV evaluation. Simulation results from numerical studies conducted on a modified IEEE-33 node distribution system confirmed the effectiveness of the proposed approach and highlighted the potential benefits of SIDC-DR utilization in the efficient operation of future power systems.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 3","pages":"Pages 460-473"},"PeriodicalIF":1.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502830","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":"Optimizing PV power utilization in standalone battery systems with forecast-based charging management strategy","authors":"Utpal Kumar Das , Ashish Kumar Karmaker","doi":"10.1016/j.gloei.2025.01.006","DOIUrl":"10.1016/j.gloei.2025.01.006","url":null,"abstract":"<div><div>Optimizing photovoltaic (PV) power utilization in battery systems is challenging due to solar intermittency, battery efficiency, and lifespan management. This paper proposes a novel forecast-based battery charging management (BCM) strategy to enhance PV power utilization. A string of Li-ion battery cells with diverse capacities and states of charge (SOC) is contemplated in this constant current/constant voltage (CC/CV) battery-charging scheme. Significant amounts of PV power are often wasted because the CC/CV mode cannot fully exploit the available power to maintain appropriate charging rates. To address this issue, the proposed BCM algorithm selects an optimal set of battery cells for charging at any given time based on forecasted PV power generation, ensuring maximum power is obtained from the PV system. Additionally, a support vector regression (SVR)-based forecasting model is developed to predict PV power generation precisely. The results indicate that the anticipated BCM strategy achieves an overall utilization rate of 87.47% of the PV-generated power for battery charging under various weather conditions.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 3","pages":"Pages 407-419"},"PeriodicalIF":1.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502759","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}
Aripriharta , Satria Adiguna , Arif N. Afandi , Muhammad Cahyo Bagaskoro
{"title":"Techno-economic modeling and analysis of a PV EV charged with battery energy storage system (BESS) on Kalimantan Island","authors":"Aripriharta , Satria Adiguna , Arif N. Afandi , Muhammad Cahyo Bagaskoro","doi":"10.1016/j.gloei.2025.01.003","DOIUrl":"10.1016/j.gloei.2025.01.003","url":null,"abstract":"<div><div>This research examines the optimal combination of solar panel and battery capacity in hybrid systems in 11 cities on the island of Borneo, utilizing the region’s significant solar energy potential and high irradiation levels. This research analyses the optimal combination of solar panels and battery capacity in 11 cities in Kalimantan using particle swarm optimization (PSO) and grey wolf optimization (GWO) algorithms to maximize energy output, reduce levelised energy costs, and maximally reduce carbon emissions. Results show Tarakan as the most optimal location, generating 215,804.88 kWh for IDR 916.9/kWh and lowering emissions by 435,884.29 kgCO<sub>2</sub>e, while Samarinda is the least optimal location. Economically, electricity tariffs of IDR 2,466.78/kWh and IDR 2,000/kWh generate a positive Net Present Value (NPV) with a payback period (PP) of 9–12 years, while a tariff of IDR 1,500/kWh is considered unfavorable. The findings demonstrate the effectiveness of PSO and GWO in optimizing the renewable energy system and confirm the project’s financial viability, with a positive NPV and reasonable PP. Implementing renewable energy systems in Kalimantan Island can improve energy efficiency and significantly reduce carbon emissions, supporting environmental sustainability goals.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 2","pages":"Pages 225-239"},"PeriodicalIF":1.9,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089144","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":"The impact of EU carbon border adjustment mechanism on China’s export and its countermeasures","authors":"Libing Wang , Ya Wen , Yun Zhang","doi":"10.1016/j.gloei.2024.11.017","DOIUrl":"10.1016/j.gloei.2024.11.017","url":null,"abstract":"<div><div>This study analyzes the potential impact of EU carbon border regulation mechanism (CBAM) on the export of China’s carbon-intensive products. First, we summarized the main content of the CBAM. Next, based on the input–output theory, this study proposes a calculation model for the implicit carbon emissions and indirect carbon emissions from electricity consumption in export products and presents the corresponding calculation results. Based on the scenario analysis method, six carbon tariff scenarios were designed to evaluate the impact of the CBAM on the major export sectors under each scenario. The results showed that in 2021, the implicit carbon emissions in all products exported to Europe from China were approximately 375 million tons, of which the indirect carbon emissions from electricity were approximately 41.8 million tons, accounting for more than 10%. According to the current levy plan, China is expected to be subject to carbon tariffs of approximately USD 1.4 billion, accounting for 0.3% of its total export value to Europe in 2021. Finally, to reduce the adverse effects of CBAM, four measures were proposed from the perspective of the power industry.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 2","pages":"Pages 205-212"},"PeriodicalIF":1.9,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089142","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":"Modeling and control of automatic voltage regulation for a hydropower plant using advanced model predictive control","authors":"Ebunle Akupan Rene , Willy Stephen Tounsi Fokui","doi":"10.1016/j.gloei.2024.12.003","DOIUrl":"10.1016/j.gloei.2024.12.003","url":null,"abstract":"<div><div>Fluctuating voltage levels in power grids necessitate automatic voltage regulators (AVRs) to ensure stability. This study examined the modeling and control of AVR in hydroelectric power plants using model predictive control (MPC), which utilizes an extensive mathematical model of the voltage regulation system to optimize the control actions over a defined prediction horizon. This predictive feature enables MPC to minimize voltage deviations while accounting for operational constraints, thereby improving stability and performance under dynamic conditions. The findings were compared with those derived from an optimal proportional integral derivative (PID) controller designed using the artificial bee colony (ABC) algorithm. Although the ABC-PID method adjusts the PID parameters based on historical data, it may be difficult to adapt to real-time changes in system dynamics under constraints. Comprehensive simulations assessed both frameworks, emphasizing performance metrics such as disturbance rejection, response to load changes, and resilience to uncertainties. The results show that both MPC and ABC-PID methods effectively achieved accurate voltage regulation; however, MPC excelled in controlling overshoot and settling time—recording 0.0 % and 0.25 s, respectively. This demonstrates greater robustness compared to conventional control methods that optimize PID parameters based on performance criteria derived from actual system behavior, which exhibited settling times and overshoots exceeding 0.41 s and 5.0 %, respectively. The controllers were implemented using MATLAB/Simulink software, indicating a significant advancement for power plant engineers pursuing state-of-the-art automatic voltage regulations.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 2","pages":"Pages 269-285"},"PeriodicalIF":1.9,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089147","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}
You Zuo , Minxiao Han , Bing Liu , Tamara Egamnazarova
{"title":"Analysis of multi-infeed receiving AC system with incompletely segmented VSC-HVDC","authors":"You Zuo , Minxiao Han , Bing Liu , Tamara Egamnazarova","doi":"10.1016/j.gloei.2024.10.015","DOIUrl":"10.1016/j.gloei.2024.10.015","url":null,"abstract":"<div><div>When multiple LCC-HVDC transmission lines are densely fed into a receiving AC system, voltage dips can easily propagate in the power system, resulting in multiple LCC commutation failures simultaneously. The VSC-HVDC can be used to divide the receiving system into several interconnected sub-partitions and improve the voltage support capability of the receiving system. Compared with asynchronous interconnection, which completely separates the receiving systems with VSC-HVDC, incomplete segmentation with an AC connection is a more pertinent segmenting method for multilayer complex regional power grids. To analyze the voltage support capability of the VSC in incomplete segmentation, a micro-incremental model of the VSC was established, the operating impedance of the VSC was calculated, and the voltage support function of the VSC was quantified. The effect of the fault on the system short-circuit capacity was analyzed, and a calculation method for the multi-infeed short-circuit ratio in an incompletely segmented scenario was obtained. A VSC-segmented model of a two-infeed DC system was built on the EMTDC/PSCAD simulation platform, and the validity of the micro-increment model and accuracy of the proposed conclusions were verified.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 2","pages":"Pages 338-348"},"PeriodicalIF":1.9,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089033","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}
Tingzhe Pan , Chao Li , Chen Yang , Zijie Meng , Zongyi Wang , Zean Zhu
{"title":"Multiagent, multitimescale aggregated regulation method for demand response considering spatial–temporal complementarity of user-side resources","authors":"Tingzhe Pan , Chao Li , Chen Yang , Zijie Meng , Zongyi Wang , Zean Zhu","doi":"10.1016/j.gloei.2025.01.004","DOIUrl":"10.1016/j.gloei.2025.01.004","url":null,"abstract":"<div><div>The integration of substantial renewable energy and controllable resources disrupts the supply–demand balance in distribution grids. Secure operations are dependent on the participation of user-side resources in demand response at both the day-ahead and intraday levels. Current studies typically overlook the spatial–-temporal variations and coordination between these timescales, leading to significant day-ahead optimization errors, high intraday costs, and slow convergence. To address these challenges, we developed a multiagent, multitimescale aggregated regulation method for spatial–-temporal coordinated demand response of user-side resources. Firstly, we established a framework considering the spatial–-temporal coordinated characteristics of user-side resources with the objective to minimize the total regulation cost and weighted sum of distribution grid losses. The optimization problem was then solved for two different timescales: day-ahead and intraday. For the day-ahead timescale, we developed an improved particle swarm optimization (IPSO) algorithm that dynamically adjusts the number of particles based on intraday outcomes to optimize the regulation strategies. For the intraday timescale, we developed an improved alternating direction method of multipliers (IADMM) algorithm that distributes tasks across edge distribution stations, dynamically adjusting penalty factors by using historical day-ahead data to synchronize the regulations and enhance precision. The simulation results indicate that this method can fully achieve multitimescale spatial–-temporal coordinated aggregated regulation between day-ahead and intraday, effectively reduce the total regulation cost and distribution grid losses, and enhance smart grid resilience.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 2","pages":"Pages 240-257"},"PeriodicalIF":1.9,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089145","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}
Yaxin Wang , Zhihang Zhu , Zhihong Yu , Zigan Wang
{"title":"NSGA-II-based load resource management for frequency and voltage support","authors":"Yaxin Wang , Zhihang Zhu , Zhihong Yu , Zigan Wang","doi":"10.1016/j.gloei.2025.01.005","DOIUrl":"10.1016/j.gloei.2025.01.005","url":null,"abstract":"<div><div>Ensuring stable frequency and voltage has recently become increasingly challenging for modern power systems. This is primarily due to the fluctuating and intermittent nature of renewable energy sources and the uncertain electricity demand. To address these issues, this study proposes a load resource management (LRM) method to cope with the sudden power disturbances. The LRM method supports primary frequency and voltage regulation, and its integration with network dynamics minimizes the established disutility function caused by load participation. For better control performance, a non-dominated sorting genetic algorithm-II (NSGA-II)-based gain-tuning procedure was utilized for LRM, aiming to enhance the frequency/voltage nadir, reduce the frequency/voltage steady-state error, and minimize the total load control efforts. To validate the effectiveness of the proposed approach, comparative experiments were conducted with three load–resource management technologies for primary regulation auxiliary services in MATLAB/Simulink. Compared to the conventional optimal load control or using LRM alone, the improved NSGA-II-based LRM demonstrates superior performance. It achieves better frequency response, voltage transients, and steady-state responses, while also considering disutility.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 2","pages":"Pages 258-268"},"PeriodicalIF":1.9,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089146","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}