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Full Issue, Information Literacy Collab Jul 2026

Full Issue, Information Literacy Collab

Information Literacy Collab

No abstract provided.


Editor's Note, Robert Rabe Jul 2026

Editor's Note, Robert Rabe

Journal of 20th Century Media History

Editor's Note for Vol. 4, Issue 1 (2026)


Mental Health Challenges Associated With Social Media Use And Effective Management Strategies: A Systematic Literature Review, Ebrahim Timol, Kebashnee Moodley Jul 2026

Mental Health Challenges Associated With Social Media Use And Effective Management Strategies: A Systematic Literature Review, Ebrahim Timol, Kebashnee Moodley

The African Journal of Information Systems

This study conducts a Systematic Literature Review (SLR) to investigate the mental health challenges associated with increasing social media (SM) usage. The review compares these effects across youth and adult age groups and explores how mental health issues related to SM use have evolved before, during, and after the COVID-19 pandemic. Through a comprehensive search of databases including ProQuest, Scopus, JSTOR, and Google Scholar, 43 relevant articles were analyzed using thematic analysis. The findings reveal that social media usage exacerbates mental health issues such as depression, anxiety, fear of missing out (FOMO), social and financial comparisons. The COVID-19 pandemic notably …


The Use Of Public Relations Departments In Palestinian Private Companies In The Northern Governorates On Social Media And Its Impact On Achieving Competitive Advantage, Ahmed Ammar Jul 2026

The Use Of Public Relations Departments In Palestinian Private Companies In The Northern Governorates On Social Media And Its Impact On Achieving Competitive Advantage, Ahmed Ammar

Middle East Journal of Communication Studies

This study aimed to examine the use of public relations departments in private Palestinian companies in the northern governorates for social media and their impact on achieving competitive advantage. The study adopted a descriptive-analytical approach, with data collected via a questionnaire distributed to a sample of 49 employees in public relations and related administrative roles. Descriptive analysis indicated that digital content management, media communication, audience engagement, relationship building, and performance monitoring and strategic analysis are all key factors in enhancing competitive advantage, with varying levels of impact. Multiple regression analysis showed that digital content management and media communication and audience …


Technical Disclosure: The Urban Biosphere Ziggurat (Ubz), Affordable Housing And Urban Planning, Christopher L. Eckes Jul 2026

Technical Disclosure: The Urban Biosphere Ziggurat (Ubz), Affordable Housing And Urban Planning, Christopher L. Eckes

Defensive Publications Series

Current high-density urban housing models in the United States routinely fail because they optimize strictly for initial cost-per-square-foot, resulting in double-loaded corridor containment layouts that restrict natural light, induce community stagnation, and induce severe benefit "cliff effects" on upwardly mobile residents. The Urban Biosphere Ziggurat (UBZ) framework resolves this systemic crisis by decoupling high-tech, factory-precise structural engineering from regional, artistic architectural cladding. This disclosure outlines a scalable, non-speculative structural chassis integrated into a Community Land Trust (CLT) and Limited-Equity Housing Cooperative (LEHC) [1.5] governance ecosystem, permanently divesting real estate from predatory international speculation. [1]

To maximize municipal feasibility …


Concurrent Presentation And Evaluation Of Multi-Stream Media, Guillaume Vernon Bailey Jul 2026

Concurrent Presentation And Evaluation Of Multi-Stream Media, Guillaume Vernon Bailey

Defensive Publications Series

Current techniques for displaying vertical videos on landscape displays suffer from inefficient use of lateral screen space and rely on linear navigation that yields limited, dwell-time-based engagement data. The disclosed technology addresses this by replacing single-video presentation with a concurrent multi-stream interface, displaying multiple vertical videos side-by-side in a user interface on a screen of a television. The disclosed technology maintains one media content item in an active playback state while keeping peripheral media content items in a subdued state, such as dimmed or paused. Users navigate horizontally to shift the active focus or vertically to populate a completely new …


Power Flow Calculation Method And Application Of Low-Frequency Alternating Current Transmission System For Offshore Wind Power Based On Dru, Hao Yu, Yuwei Yao, Minjia Zheng, Honglin Chen, Zhengmin Zuo, Chenxin Yu, Haishun Sun Jul 2026

Power Flow Calculation Method And Application Of Low-Frequency Alternating Current Transmission System For Offshore Wind Power Based On Dru, Hao Yu, Yuwei Yao, Minjia Zheng, Honglin Chen, Zhengmin Zuo, Chenxin Yu, Haishun Sun

Journal of Electric Power Science and Technology

The low-frequency alternating current transmission system for offshore wind power based on a diode rectifier unit (DRU) is a novel technical scheme with application prospects for the grid connection of deep-sea offshore wind power. Due to the uncontrollability of the DRU, the operation state of the low-frequency alternating current system is controlled by wind turbines using a grid-forming amplitude-phase control mode. To analyze the relationship between system operation state and wind power control characteristics, a power flow calculation model of the DRU-based low-frequency alternating current transmission system for offshore wind power was established. Definite conditions and equations to be solved …


Preventive Control Method For Transient Stability Of Power System With Wind Power Based On Hybrid Improved Grey Wolf Algorithm, Songkai Liu, Yifan Zhao, Lei Zhang, Wenpei Ding, Yukun Ai, Yuheng Wu, Biqing Ye Jul 2026

Preventive Control Method For Transient Stability Of Power System With Wind Power Based On Hybrid Improved Grey Wolf Algorithm, Songkai Liu, Yifan Zhao, Lei Zhang, Wenpei Ding, Yukun Ai, Yuheng Wu, Biqing Ye

Journal of Electric Power Science and Technology

To address the influence of large-scale wind power generation on power system stability, a new preventive control method for the transient stability of power systems was proposed. Firstly, the expression of wind power output was established based on the Weibull distribution. Secondly, in a system containing wind power, energy storage, and flexible load, taking the lowest adjustment cost as the objective function, a transient stability estimator based on a stacked ensemble deep belief network was used as the transient stability constraint to construct a preventive control model. Finally, to solve the problems of insufficient population diversity and easy trapping into …


Two-Stage Optimal Scheduling Of Wind-Storage Combined Power Generation System Based On Improved Beetle Swarm Algorithm, Shuai Xiao, Zhiyong Lin, G Chuyu Zhen, Zhiguo Ouyang, Lirou He, Xue Yu Jul 2026

Two-Stage Optimal Scheduling Of Wind-Storage Combined Power Generation System Based On Improved Beetle Swarm Algorithm, Shuai Xiao, Zhiyong Lin, G Chuyu Zhen, Zhiguo Ouyang, Lirou He, Xue Yu

Journal of Electric Power Science and Technology

To solve the problem that wind farms equipped with energy storage systems are difficult to balance the grid peak shaving demand and their own operational efficiency under the condition of limited local information, a two-stage optimal scheduling model for wind-storage combined systems with localized information is proposed. In the day-ahead optimal scheduling stage, based on the easily obtainable total system load curve, the charging and discharging power of the energy storage is actively optimized with the goal of minimizing the peak-valley difference of the net load at the grid connection point; under the premise of not relying on global information, …


An Adaptive Multi-Objective Reactive Power Optimization Control Strategy For Wind-Integrated Power Systems Based On Swarming Genetic Algorithm, Haoyu Liu, Yuan Zhao, Pengfei Dai, Xin Tang, Chongru Liu Jul 2026

An Adaptive Multi-Objective Reactive Power Optimization Control Strategy For Wind-Integrated Power Systems Based On Swarming Genetic Algorithm, Haoyu Liu, Yuan Zhao, Pengfei Dai, Xin Tang, Chongru Liu

Journal of Electric Power Science and Technology

An adaptive multi-objective reactive power optimization control strategy considering the scenario partitioning of wind turbines is proposed to address the issues of voltage fluctuation and reactive power imbalance in new power systems caused by the strong randomness and intermittency of wind power. A multi-scenario collaborative optimization model is constructed using the Weibull wind speed probability distribution. A comprehensive reactive power index based on scenario partitioning is proposed to quantify the impact of wind power output uncertainty, and a dynamic weighting mechanism is designed to adaptively balance the objectives of voltage security and network loss economy. A swarming genetic algorithm, which …


Multi-Objective Interval Optimal Dispatch Method For Regional Power Grid Considering Hydrodynamics, Xiaofeng Yu, Xuan Sheng, Baohua Zhong, Rixin Luo, Shunjiang Lin Jul 2026

Multi-Objective Interval Optimal Dispatch Method For Regional Power Grid Considering Hydrodynamics, Xiaofeng Yu, Xuan Sheng, Baohua Zhong, Rixin Luo, Shunjiang Lin

Journal of Electric Power Science and Technology

The uncertainties of the power output of renewable energy stations such as wind power and photovoltaic and the hydrodynamic characteristics of the river channel connecting various run-of-river hydropower stations pose a great challenge to the generation dispatch scheduling of the regional power grid containing wind power-photovoltaic-run-of-river hydropower. The Saint-Venant equations are used to describe the dynamic relationship between flow rate and water level in the river channel. The numerical solution of the equations is obtained by the Preissmann difference method, and the convexified equations are further obtained through McCormick envelope and convex envelope relaxation methods. Interval numbers are used to …


A Novel Fault Location Method For Renewable Energy Transmission Lines Based On Time-Domain Transient Voltage Fitting, Li Zhang, Shengnan Li, Shiyao Wang, Shoudong Xu, Ligen Xie, Jinrui Tang Jul 2026

A Novel Fault Location Method For Renewable Energy Transmission Lines Based On Time-Domain Transient Voltage Fitting, Li Zhang, Shengnan Li, Shiyao Wang, Shoudong Xu, Ligen Xie, Jinrui Tang

Journal of Electric Power Science and Technology

Affected by the control strategy and parameters of renewable energy units, once a fault occurs in a renewable energy transmission line, the short-circuit current on the renewable energy side exhibits characteristics such as controlled amplitude, sudden phase change, and a high proportion of non-power-frequency components, which leads to the failure of traditional double-end and single-end fault location methods based on power-frequency components. To address this problem, higher-order fault transient differential equations of the renewable energy transmission line before and after the fault point were provided. A joint equation system for solving fault distance was constructed based on the time-domain sampled …


Adaptive Reclosing Strategy For Active Distribution Networks Considering Secondary Arc, Zhenxing Li, Xiaorong Zhang, Cong Hu, Yi Zhu, Ruofan Huang, Hanli Weng, Qiujie Wang Jul 2026

Adaptive Reclosing Strategy For Active Distribution Networks Considering Secondary Arc, Zhenxing Li, Xiaorong Zhang, Cong Hu, Yi Zhu, Ruofan Huang, Hanli Weng, Qiujie Wang

Journal of Electric Power Science and Technology

In view of the problem that the current adaptive reclosing scheme for active distribution networks recloses after an inherent delay upon identifying the disappearance of faults, without considering whether the accompanying arc is completely extinguished, an adaptive reclosing strategy for active distribution networks considering secondary arc was proposed. First, measurement points were set at the circuit breaker of the faulted line and the new energy outlet, and the reclosing and new energy off-grid operations were realized without interconnection communication according to the in-situ measured quantities of the two locations. Second, a secondary arc model of the distribution network was established, …


Optimal Power Flow Solving And Feasibility Restoration Method For Distribution Networks Based On Deep Learning, Ji Chen, Huihuang Cai, Weidong Zhong, Minghua Chu, Huan Long, Ziqing Shi Jul 2026

Optimal Power Flow Solving And Feasibility Restoration Method For Distribution Networks Based On Deep Learning, Ji Chen, Huihuang Cai, Weidong Zhong, Minghua Chu, Huan Long, Ziqing Shi

Journal of Electric Power Science and Technology

As the core of optimal dispatching decision-making for distribution networks, optimal power flow (OPF) urgently requires fast calculation methods under large-scale grid frameworks. A deep learning-based OPF solving method oriented toward feasibility restoration was proposed. First, an OPF solving architecture based on state-control variable decomposition was constructed, and an OPF state variable solving model was built based on a deep neural network. Second, to address the problem that OPF results based on deep neural networks fail to satisfy control variable constraints, samples with inequality constraint violations were screened to construct a correction sample set; considering actual physical constraints and supply-demand …


High-Impedance Ground Fault Identification Method For Distribution Networks Based On Data-Knowledge Joint Driving, Ming Chen, Tianle Li, Yilin Chen, Yang Li, Feng Deng Jul 2026

High-Impedance Ground Fault Identification Method For Distribution Networks Based On Data-Knowledge Joint Driving, Ming Chen, Tianle Li, Yilin Chen, Yang Li, Feng Deng

Journal of Electric Power Science and Technology

When a high-impedance ground fault occurs in a distribution network, traditional knowledge-driven methods suffer from low accuracy in threshold selection, while data-driven methods have poor interpretability due to the lack of mechanism support. To address this problem, a data-knowledge joint-driven approach was proposed for identifying high-impedance ground faults in distribution networks. First, wavelet packet time-frequency entropy was used to quantitatively analyze the panoramic characteristics of high-impedance ground faults and normal disturbance conditions, thus revealing significant differences in their time-frequency distributions. Then, by qualitatively analyzing the characteristics of time-frequency energy spectrum matrices at different fault points, the knowledge-driven identification method based …


Multi-Dimensional Feature Fusion Identification Of Tree-Line Grounding Faults, Lei Han, Chun Chen Jul 2026

Multi-Dimensional Feature Fusion Identification Of Tree-Line Grounding Faults, Lei Han, Chun Chen

Journal of Electric Power Science and Technology

High-resistance grounding faults induced by tree-line contact are characterized by weak signal features and difficult fault localization, and are one of the significant hidden risks in power grid operations. Existing studies mostly focus on the feature extraction, monitoring, and early warning of faults, but there are still deficiencies in the precise identification and classification of tree-line grounding faults. To address this issue, a tree-line grounding fault identification method combining Bayesian optimization-extreme gradient boosting (Bayes-XGBoost) was proposed. First, a tree-line grounding fault simulation model was established to simulate the zero-sequence current characteristics of different tree species under high-resistance grounding faults, and …


Generalized Load Modeling Based On Som-Gwo-Tcn Integrated Algorithm, Qikai Zhao, Ying Wang, Jia Min Lyu, Wenqian Fang, Yi Ru, Di Zheng Jul 2026

Generalized Load Modeling Based On Som-Gwo-Tcn Integrated Algorithm, Qikai Zhao, Ying Wang, Jia Min Lyu, Wenqian Fang, Yi Ru, Di Zheng

Journal of Electric Power Science and Technology

To address the complication of load characteristics caused by the extensive integration of distributed generation into distribution networks, a high-precision generalized load modeling method is proposed. Firstly, the self-organizing map (SOM) neural network is utilized to perform feature extraction and dimensionality reduction on grid node load data, and nodes with similar dynamic characteristics are divided into typical subnetwork systems through unsupervised clustering. Secondly, the grey wolf optimization (GWO) algorithm is adopted to perform global optimization on the hyperparameters of the temporal convolutional network (TCN), establishing a generalized load model for the subnetwork systems. Finally, simulation experiments based on the IEEE …


Dynamic Interleaved Charging And Discharging Strategy For Electric Vehicles Coupling Travel Chains And Regional Characteristics, Qin Yan, Jinxin Wang, Jun Wu, Qisheng Wang, Daoyi Gu Jul 2026

Dynamic Interleaved Charging And Discharging Strategy For Electric Vehicles Coupling Travel Chains And Regional Characteristics, Qin Yan, Jinxin Wang, Jun Wu, Qisheng Wang, Daoyi Gu

Journal of Electric Power Science and Technology

In view of the increasingly significant differences in the spatiotemporal distribution of regional loads caused by the large-scale development of electric vehicles, an optimization strategy for regional dynamic interleaved electricity prices based on travel chains was proposed, and a three-dimensional coupling mechanism of “user travel characteristics, regional load characteristics, and dynamic time-series response of electricity prices” was constructed to meet the differentiated electricity demand in different regions. Firstly, based on the travel chain theory, the time characteristics of cross-regional movements of electric vehicles were analyzed, and the temporal correlation of electricity price strategies in each region was dynamically adjusted: in …


Layered Energy Management Strategy For Extended-Range Electric Vehicles, Jiayi Wang, Ci Tang, Min Luo, Shihui Zhou, Zhenzhong Wang Jul 2026

Layered Energy Management Strategy For Extended-Range Electric Vehicles, Jiayi Wang, Ci Tang, Min Luo, Shihui Zhou, Zhenzhong Wang

Journal of Electric Power Science and Technology

To improve the overall fuel economy of extended-range electric vehicles and optimize battery usage, a hierarchical energy management strategy combining the advantages of model predictive control and fuzzy control was proposed to address the trade-off between real-time control and optimal performance in electric vehicle energy management. An energy flow model for an extended-range electric vehicle, consisting of a generator set, a hybrid energy storage system, and an electric motor, was developed. To optimize equivalent fuel consumption, optimal power allocation between the range extender and the hybrid energy storage system was determined through online rolling optimization using a model predictive controller. …


Optimized Configuration Of Power Sources For Distributed Photovoltaic Power Stations Based On Bi-Level Programming, Xing He, Shuai Yang, Cong Wu, Rui Huang, Mouhai Liu Jul 2026

Optimized Configuration Of Power Sources For Distributed Photovoltaic Power Stations Based On Bi-Level Programming, Xing He, Shuai Yang, Cong Wu, Rui Huang, Mouhai Liu

Journal of Electric Power Science and Technology

The large-scale integration of distributed photovoltaics (DPV) poses significant threats to the safe and stable operation of distribution networks, creating an urgent need to optimize the configuration of power resources. A bi-level programming model that considers the dynamic clustering of DPV was proposed; it uses an improved adaptive genetic algorithm for dynamic DPV cluster partitioning. Based on the proposed bi-level programming model, the dynamic optimized configuration of power resources was achieved, node voltages were maintained, and power losses were reduced. The results show that, compared with the voltage optimization scheme, the comprehensive optimization approach reduces the total cost by 4.68%. …


Research On Resonance Detection And Suppression Methods For Wind Farms With Svg, Jikai Chen, Ziming Mu, Shuangshuang Yao, Qianxin Li, Jiayang Zhang, Zhuang Chu, Haoru Li Jul 2026

Research On Resonance Detection And Suppression Methods For Wind Farms With Svg, Jikai Chen, Ziming Mu, Shuangshuang Yao, Qianxin Li, Jiayang Zhang, Zhuang Chu, Haoru Li

Journal of Electric Power Science and Technology

To address the resonance problem of wind farms with grid-following (GFL) static var generator (SVG), a resonance detection model based on the fuzzy cognitive map (FCM) algorithm was proposed. Granular computing combined with Fourier transform was used to preprocess the operation data of the constructed wind farm. Based on the processed data, the model was trained, and the detection accuracy test was completed. By using the overall sequence impedance model of the constructed wind farm combined with the impedance analysis method, the influence of SVG using GFL and grid-forming (GFM) control on the overall stability of the wind farm system …


Collaborative Planning Of Distributed Energy Storage In Industrial Parks Considering Stepped Carbon Trading And Demand-Side Response, Shuai Huang, Jing Gao, Jinya Zhou, Keteng Jiang, Jian Xiong, Caiqian Wang, Qian Hu Jul 2026

Collaborative Planning Of Distributed Energy Storage In Industrial Parks Considering Stepped Carbon Trading And Demand-Side Response, Shuai Huang, Jing Gao, Jinya Zhou, Keteng Jiang, Jian Xiong, Caiqian Wang, Qian Hu

Journal of Electric Power Science and Technology

With the aggravation of global climate change and the energy crisis, distributed energy storage systems play an important role in reducing users’ energy consumption costs and carbon emissions. However, few studies fully consider the synergy of various demand-side responses and flexible resources when planning distributed energy storage systems. To solve this problem, first, a stepped carbon trading calculation method considering carbon quotas and a characterization method for demand-side responses were proposed, and the elasticity matrix was used to characterize the transfer-type and reduction-type responses. Then, a collaborative planning method for distributed energy storage in industrial parks considering stepped carbon trading …


Early Warning And Fault Diagnosis Of Abnormal States In Key Components Of Power Maintenance Equipment Under Complex Disturbance Of Power Grid Lines, Zhuang Liu, Huanqing Cai, Guiwei Shao, Houxuan Liu, Zhike Wen, Bo Zhang Jul 2026

Early Warning And Fault Diagnosis Of Abnormal States In Key Components Of Power Maintenance Equipment Under Complex Disturbance Of Power Grid Lines, Zhuang Liu, Huanqing Cai, Guiwei Shao, Houxuan Liu, Zhike Wen, Bo Zhang

Journal of Electric Power Science and Technology

Transmission line maintenance is an important way to ensure highly reliable power supply. The adoption of intelligent power maintenance equipment to replace manual labor has become a trend. Transmission line maintenance equipment operates in the environment of high-altitude strong wind disturbance and strong electric interference for a long time, and its key components are easily damaged, which leads to failures. Therefore, it is significant to accurately diagnose the faults of intelligent power maintenance equipment for ensuring the safe and stable operation of the power grid. In this paper, spatial-temporal graphs are created from the measured signals by short-time Fourier transform, …


Fuzzy Robust Low-Carbon Optimal Scheduling Of Island Park Multi-Microgrid Considering Green Hydrogen Trading And Offshore Wind Power–Based Hydrogen Production, Xiaodan Wang, Huanhuan Han, M Ingge Li, Sixing Ji, Boyang Zheng Jul 2026

Fuzzy Robust Low-Carbon Optimal Scheduling Of Island Park Multi-Microgrid Considering Green Hydrogen Trading And Offshore Wind Power–Based Hydrogen Production, Xiaodan Wang, Huanhuan Han, M Ingge Li, Sixing Ji, Boyang Zheng

Journal of Electric Power Science and Technology

Research on offshore wind power-based hydrogen production technology provides an effective way for meeting the energy supply-demand of remote island users and promoting the realization of the goals of “carbon peaking and carbon neutrality.” Therefore, a fuzzy robust optimal operation strategy for an island park multi-microgrid system considering offshore wind power-based hydrogen production and green hydrogen trading was proposed. Firstly, the operation mechanism of offshore wind power-based hydrogen production was explored, and an offshore wind power-based hydrogen production system integrating seawater desalination, offshore wind power-based hydrogen production, hydrogen compression, and hydrogen transportation was constructed. Secondly, to improve green hydrogen consumption, …


Source-Load Extreme Scenario Generation Method For Integrated Energy Systems Based On Wgan-Gp, Zhengxing Zhong, Tong Xing, Chaoyu Xiong, Dechang Yang, Lijun Zhang Jul 2026

Source-Load Extreme Scenario Generation Method For Integrated Energy Systems Based On Wgan-Gp, Zhengxing Zhong, Tong Xing, Chaoyu Xiong, Dechang Yang, Lijun Zhang

Journal of Electric Power Science and Technology

To enhance the operational security of integrated energy systems (IES) under extreme weather conditions, it is essential to fully consider the impact of extreme scenarios in production scheduling. However, because historical samples of extreme scenarios are scarce, IES face challenges in operational scenario modeling and scheduling, making effective methods for generating extreme scenarios highly significant. To address this issue, a method based on a Wasserstein generative adversarial network with gradient penalty (WGAN-GP) was proposed for generating source-load extreme scenarios in IES. By introducing the Wasserstein distance and gradient penalty, the proposed method improves model training stability, increases the diversity of …


Low-Carbon Optimization In Master-Slave Game Of Integrated Energy System Considering Demand Response Guided By Carbon Quota, Yan Zhang, Ruifang Li, Jian Zhao, Ying Wang, Chuang Song Jul 2026

Low-Carbon Optimization In Master-Slave Game Of Integrated Energy System Considering Demand Response Guided By Carbon Quota, Yan Zhang, Ruifang Li, Jian Zhao, Ying Wang, Chuang Song

Journal of Electric Power Science and Technology

To build a green and low-carbon energy operation mode, it is of great significance to study the coordination between carbon quota and demand response, as well as the low-carbon and clean characteristics of hydrogen energy. Therefore, a low-carbon coordinated optimization strategy for the master–slave game of electricity–heat–gas–hydrogen integrated energy system (IES) based on comprehensive demand response guided by carbon quota is proposed. First, given the low-carbon and clean characteristics of hydrogen energy, a hydrogen energy utilization system composed of an electrolytic cell, a methane reactor, and a hydrogen fuel cell is introduced, and an electricity–heat–gas–hydrogen IES coupling model is constructed. …


Low-Carbon Economic Dispatch For Multi-Park Integrated Energy Systems Considering Electricity-Carbon Coupling And Differentiated Demand Response, Liwei Yang, Fei Jiang, Xinhe Zhang, Zhenlan Dou, Xiaojia Zhang Jul 2026

Low-Carbon Economic Dispatch For Multi-Park Integrated Energy Systems Considering Electricity-Carbon Coupling And Differentiated Demand Response, Liwei Yang, Fei Jiang, Xinhe Zhang, Zhenlan Dou, Xiaojia Zhang

Journal of Electric Power Science and Technology

In order to reduce the carbon emissions of park integrated energy systems and to explore the demand response potential of different types of loads, a low-carbon economic dispatch method for multi-park integrated energy systems considering electricity–carbon coupling and differentiated demand response is proposed. Considering the electricity–carbon coupling among different parks and the characteristics of the external carbon trading market, a multi-park carbon trading model with a stepped external carbon trading mechanism is constructed; in view of the differences in energy demands and demand response capabilities of users in different parks, a differentiated demand response model including flexible and adjustable electrical …


High-Frequency Direct Current Converter Based On Gallium Nitride Devices And Planar Magnetic Technology, Zhiyuan Ma, Zhong Xu, Yiping Cui Jul 2026

High-Frequency Direct Current Converter Based On Gallium Nitride Devices And Planar Magnetic Technology, Zhiyuan Ma, Zhong Xu, Yiping Cui

Journal of Electric Power Science and Technology

With the rapid development of electric vehicles and the energy storage industry, the production scale of high-rate batteries such as lithium batteries expands continuously, and the efficiency and power density of direct current converters in the battery formation process become research hot spots in the industry. In view of the shortcomings of traditional high-gain direct current converters, such as the high voltage stress of high-voltage side devices, the large current stress of low-voltage side devices, and the low efficiency and power density, a high-gain direct current converter topology suitable for the intermediate stage of the battery formation power supply system …


Modeling And Stability Improvement Methods For Grid-Connected Systems Of Heterogeneous Distributed Photovoltaic Interconnected Inverters, Diyang Gong, Xiangjin Wang, Junhao Li, Jiayuan Gao, Shuai Huang Jul 2026

Modeling And Stability Improvement Methods For Grid-Connected Systems Of Heterogeneous Distributed Photovoltaic Interconnected Inverters, Diyang Gong, Xiangjin Wang, Junhao Li, Jiayuan Gao, Shuai Huang

Journal of Electric Power Science and Technology

After grid-following and grid-forming heterogeneous interconnected photovoltaic inverters are connected to the power grid, interactive influences easily occur, resulting in the instability of grid-connected inverters and threatening the safe and stable operation of the new energy grid-connected system. Therefore, considering the dynamic influence of photovoltaic direct current side voltage, small-signal impedance models of grid-following, grid-forming, and their interconnected heterogeneous distributed photovoltaic inverters connected to the grid were constructed, respectively, and the adaptability of heterogeneous grid-connected inverters to grid impedance was analyzed. Meanwhile, to expand the adaptation range of heterogeneous interconnected systems to grid impedance and promote the consumption of new …


Design Method For End Shape Of Explosion-Proof High-Voltage Cable Joints Based On Virtual Objective Optimization, Xiang Gao, Xin Yang, Honghua Hu, Yafei Huang, Wei Qiu, Yangning Chen, Rui Qin Jul 2026

Design Method For End Shape Of Explosion-Proof High-Voltage Cable Joints Based On Virtual Objective Optimization, Xiang Gao, Xin Yang, Honghua Hu, Yafei Huang, Wei Qiu, Yangning Chen, Rui Qin

Journal of Electric Power Science and Technology

For the explosion-proof weak points at the end of the intermediate joint of high-voltage cables, an optimization design method for the end of the explosion-proof copper shell was proposed. By using a finite element calculation method coupling the temperature field, displacement field, and flow field, the stress concentration factor K at the copper shell end of the joint under different deflection angles α was calculated; then, under the deflection angle with the minimum stress concentration factor, a circularization and copper shell thickness coordination design was conducted. Orthogonal experimental design is conducted on the two arc curvature radii and the thickness …