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Target-Site Resistance To Glyphosate In Eleusine Indica Biotypes From South Sulawesi And Lampung, Indonesia, Ahmad Nur Lazuardi, Denny Kurniadie, Uum Umiyati, Ryan Widianto Apr 2026

Target-Site Resistance To Glyphosate In Eleusine Indica Biotypes From South Sulawesi And Lampung, Indonesia, Ahmad Nur Lazuardi, Denny Kurniadie, Uum Umiyati, Ryan Widianto

Jurnal Kultivasi

Glyphosate is a non-selective systemic herbicide that has been widely used to control weeds by local corn farmers in South Sulawesi and Lampung Provinces of Indonesia. However, some corn farmers in these two regions were considered that glyphosate herbicide at the standard field dose no longer effective against goosegrass (Eleusine indica). To confirms the level of its resistance to glyphosate, seeds of E. indica suspected to be glyphosate-resistant were collected from corn fields in Soppeng Regency-South Sulawesi and South Lampung Regency-Lampung (designated as GR-1 and GR-2 respectively), along with a known susceptible biotype from Sumedang Regency-West Java (GS) as a …

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The Effect Of Liquid Foliar Fertilizer And Pruning Combinations On The Growth Of Productive Phase Arabica Coffee Plants (Coffea Arabica L.), Syifa Djuita Putri, Alvito Krishna Balapradhana, Mira Ariyanti, Intan Ratna Dewi Anjarsari, Yudithia Maxiselly Apr 2026

The Effect Of Liquid Foliar Fertilizer And Pruning Combinations On The Growth Of Productive Phase Arabica Coffee Plants (Coffea Arabica L.), Syifa Djuita Putri, Alvito Krishna Balapradhana, Mira Ariyanti, Intan Ratna Dewi Anjarsari, Yudithia Maxiselly

Jurnal Kultivasi

In recent years, productivity decline in arabica coffee has become a real issue in Indonesia. This decay has been brought about by various external and internal factors that are beyond human control. Various factors, including suboptimal cultivation practices, take part in this process. The objective of the present study was to evaluate the effect of pruning combined with foliar fertilizer application (coconut water and sugarcane molasses) and 6-benzylaminopurine (BAP) on the vegetative growth of arabica coffee plants during the production phase. The research was conducted at Ciparanje Experimental Field, Universitas Padjadjaran, using a randomized complete block design with seven treatments …

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Arc Suppression Method For Grounding Fault Based On Additional Energy Loop, Ming Li, Chengzhi Wei, Yang Liu, Runhong Huang, Ruifeng Zhao, Jiangang Lu, Yizhe Chen, Zejun Huang Apr 2026

Arc Suppression Method For Grounding Fault Based On Additional Energy Loop, Ming Li, Chengzhi Wei, Yang Liu, Runhong Huang, Ruifeng Zhao, Jiangang Lu, Yizhe Chen, Zejun Huang

Journal of Electric Power Science and Technology

The problems of low utilization and high cost of traditional arc suppression devices can be effectively solved by a multi-function arc suppression device (MF-ASD). However, active power is consumed by the MF-ASD during arc suppression. How to realize the DC-link voltage stability of the active module without an additional power supply unit is worth further discussion. An arc suppression method for grounding faults based on an additional energy loop is proposed. First, the topological structure and working principle of the MF-ASD are briefly described. Second, the influence mechanism of traditional arc suppression methods on the output active power and energy …

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Method For Enhancing Resilience Of Smart Grids Based On Adaptive Graph Attention Multi-Agent Reinforcement Learning, Peng Chang, Yun Wang, Fei Meng, Qing Wang, Yang Sun Apr 2026

Method For Enhancing Resilience Of Smart Grids Based On Adaptive Graph Attention Multi-Agent Reinforcement Learning, Peng Chang, Yun Wang, Fei Meng, Qing Wang, Yang Sun

Journal of Electric Power Science and Technology

Enhancing the resilience of smart grids is crucial for maintaining the security and reliability of power systems. An adaptive graph attention multi-agent reinforcement learning (AGA-MARL) method is proposed, through which the learning efficiency and collaborative ability of the system in complex grid environments are improved by an adaptive learning rate and a dynamic task allocation mechanism, thereby enhancing the resilience and interpretability of smart grids. First, adaptive multi-agent deep reinforcement learning (AMA-DRL) and dynamic spatial-temporal graph convolutional networks (DST-GCN) are combined to enhance the information interaction among multiple agents and utilize the dynamic graph structure to capture the complex dependencies …

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Arc Resonant Trajectory Soft Starting Strategy Of Llc Resonant Converter And Its Experimental Verification, Di Wu, Faqiang Wang, Baohai Zhang Apr 2026

Arc Resonant Trajectory Soft Starting Strategy Of Llc Resonant Converter And Its Experimental Verification, Di Wu, Faqiang Wang, Baohai Zhang

Journal of Electric Power Science and Technology

LLC converters offer outstanding advantages when used i n data center power supply applications. To solve the problems of slow start-up of LLC resonant converters during traditional down-frequency soft starting and high MCU calculation and storage pressure in the process of optimal trajectory control soft starting, an arc resonant trajectory soft starting strategy based on trajectory control is proposed. The two charging stages of an LLC converter under the strategy are analyzed, and an adjustment stage, an entry stage, and an exit stage are designed based on the charging stages, which effectively suppresses the transient current overshoot phenomenon in the …

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Risk Identification And Load Transfer Calculation Method For Distribution Network Framework Considering New Energy Access, Ji Su, Tao Chen, Yu Duan, Zhantao Gao, Wei Yang, Yuqiao Ou Apr 2026

Risk Identification And Load Transfer Calculation Method For Distribution Network Framework Considering New Energy Access, Ji Su, Tao Chen, Yu Duan, Zhantao Gao, Wei Yang, Yuqiao Ou

Journal of Electric Power Science and Technology

Driven by the "dual carbon" target, it has become a trend for an extremely high proportion of new energy to be integrated into the distribution network. The random "bidirectional flow" of power flow in the distribution network has a great impact on its operational safety. It is urgent to identify the network framework risks and load transfer methods of the distribution network. A risk identification and load transfer calculation method for the distribution network framework considering the integration of new energy is proposed. First, a risk identification method for the distribution network with a high proportion of new energy access …

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A Review Of Vehicle-Grid Interaction With Introduction Of Virtual Power Plants, Yanxia Wang, Yuchen Wang, Shaojun Gan Apr 2026

A Review Of Vehicle-Grid Interaction With Introduction Of Virtual Power Plants, Yanxia Wang, Yuchen Wang, Shaojun Gan

Journal of Electric Power Science and Technology

The advent of virtual power plants (VPPs) promotes the development of the interaction between electric vehicles (EVs) and the power grid, and plays an important role in promoting the load balance of urban power grids. By systematically reviewing the relevant literature on EVs, integrated photovoltaic storage and charging stations, and VPPs and their aggregators, this paper analyzes the vehicle-grid interactions with the introduction of VPPs, summarizes the commonly used EV load forecasting methods, and describes the siting and capacity planning model of integrated photovoltaic storage and charging stations. Further, it summarizes the game relationship among the grid layer, the VPP …

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Hybrid Attack Detection Method For Lfc Based On Enhanced Kalman Filter And Residual Analysis, Yunning Zhang, Yuxuan Fu, Zhenxing Li, Fayun Fu Apr 2026

Hybrid Attack Detection Method For Lfc Based On Enhanced Kalman Filter And Residual Analysis, Yunning Zhang, Yuxuan Fu, Zhenxing Li, Fayun Fu

Journal of Electric Power Science and Technology

Against the backdrop of extensively interconnected cyber-physical power systems (CPPS), this paper proposes an attack detection method based on an enhanced Kalman filter to address hybrid attacks involving denial-of-service (DoS) attacks and false data injection (FDI) attacks. First, a load-frequency control model is established for a two-region interconnected power system, and a hybrid attack model incorporating both DoS and FDI attacks is constructed. Second, an enhanced Kalman filter is introduced, incorporating an adaptive process noise adjustment mechanism and a residual history sliding window to enhance the robustness of state estimation. Subsequently, an improved attack detector is designed, integrating chi-square detection, …

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Coordinated Optimal Configuration Of Grid-Forming Inverters And Statcoms For Enhancing Transient Voltage Security Of Regional Power Grid, Xiaofeng Yu, Ronghao Tan, Binbin Tang, Shunjiang Lin, Ye Cheng, Weikun Liang Apr 2026

Coordinated Optimal Configuration Of Grid-Forming Inverters And Statcoms For Enhancing Transient Voltage Security Of Regional Power Grid, Xiaofeng Yu, Ronghao Tan, Binbin Tang, Shunjiang Lin, Ye Cheng, Weikun Liang

Journal of Electric Power Science and Technology

At present, renewable energy stations in a regional power grid mainly adopt grid-following control. Since it has the current source control characteristic and does not have the voltage support capability similar to that of traditional synchronous generators, it will reduce the transient voltage security of the regional power grid. When short circuit faults occur or the impact loads start up frequently in the regional power grid, it is more likely to result in the transient voltage instability and thus affect the secure and reliable power supply to users. In response, a coordinated optimal configuration model of grid-forming inverters and static …

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Reliability Analysis Of Photovoltaic System Based On Output Prediction, Feilong Zhai, Xingyong Zhao, Lilong Hao, Zhiyi Zhang, Qiang Yan, Xing Wen Apr 2026

Reliability Analysis Of Photovoltaic System Based On Output Prediction, Feilong Zhai, Xingyong Zhao, Lilong Hao, Zhiyi Zhang, Qiang Yan, Xing Wen

Journal of Electric Power Science and Technology

To study the reliability of photovoltaic (PV) power generation in the context of "double high" (i.e., high penetration of renewable energy plus high penetration of power electronics equipment) of PV systems, this paper proposes a method of analyzing the reliability of PV output based on the combination of output prediction and an improved Monte Carlo method. Firstly, output characteristic analysis and output prediction are performed on the PV historical data to obtain the probability distribution of PV output under different meteorological conditions. After that, a probabilistic model of PV system reliability is established by taking into account the failure rate …

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Analysis Method For Power System Ine Rtia Intervals With Coupled Uncertainty Of New Energy Output, Xuebin Wang, Guobin Fu, Kaix Uan Yang, Qixuan Wen, Rui Song, Yunfeng Wen Apr 2026

Analysis Method For Power System Ine Rtia Intervals With Coupled Uncertainty Of New Energy Output, Xuebin Wang, Guobin Fu, Kaix Uan Yang, Qixuan Wen, Rui Song, Yunfeng Wen

Journal of Electric Power Science and Technology

The large-scale grid connection of new energy leads to the continuous compression of the start-up capacity of synchronous power sources, and the system faces the risk of low-inertia operation. Existing deterministic inertia trend assessment methods ignore the time-varying impact of random new energy fluctuations on unit commitment, which may lead to the misjudgment of inertia adequacy. In this regard, an analysis method for power system inertia intervals is proposed to realize a panoramic portrayal of inertia boundaries by coupling the uncertainty of new energy output. First, a confidence interval is constructed based on probability modeling of wind and solar power …

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Identification Method For Control Parameters Of Grid-Connected Photovoltaic System Based On Sensitivity Characteristic Analysis, Yunhe Chen, Peiqiang Li, Jiajie Xiao Apr 2026

Identification Method For Control Parameters Of Grid-Connected Photovoltaic System Based On Sensitivity Characteristic Analysis, Yunhe Chen, Peiqiang Li, Jiajie Xiao

Journal of Electric Power Science and Technology

Accurate identification of fault control parameters is the basis for establishing an accurate simulation model of a grid-connected photovoltaic system. The dynamic coupling of multiple control links and the low sensitivity of some parameters lead to a low overall identification accuracy of control parameters. To address this problem, an identification method for control parameters of a grid-connected photovoltaic system based on sensitivity characteristic analysis is proposed in this paper. Firstly, a method of injecting disturbances into the measurement signals on the secondary side of the system is proposed to decouple the dynamics of multiple controllers. Secondly, a sensitivity algorithm is …

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A Risk Assessment Method For Three-Phase Unbalance In Distribution Transformer Areas Considering Zero-Sequence Current, Mo Shi, Yingting Luo, Xin Li, Bin Zhang, Bowei Wei, Shenzhou Zhou, Qin Yan, Rui Ma Apr 2026

A Risk Assessment Method For Three-Phase Unbalance In Distribution Transformer Areas Considering Zero-Sequence Current, Mo Shi, Yingting Luo, Xin Li, Bin Zhang, Bowei Wei, Shenzhou Zhou, Qin Yan, Rui Ma

Journal of Electric Power Science and Technology

With the significant growth of seasonal loads such as agriculture and tourism, power equipment failures and power outages caused by the three-phase unbalance problem in distribution transformer areas become major challenges in the operation and maintenance of distribution networks. Therefore, it is urgent to strengthen the assessment of three-phase unbalance in distribution transformer areas. To address the problems of few evaluation indices and single weight distribution methods for three-phase unbalance in existing distribution transformer areas, a risk assessment method for three-phase unbalance in distribution transformer areas considering zero-sequence current is proposed based on the traditional three-phase unbalance evaluation method for …

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Risk Assessment Of Power System Frequency Based On Dynamic Inertia Factor, Jie Fu, Qian Zhang Apr 2026

Risk Assessment Of Power System Frequency Based On Dynamic Inertia Factor, Jie Fu, Qian Zhang

Journal of Electric Power Science and Technology

Against the background of the continuous integration of a high proportion of renewable energy into the power system, the system inertia provided by traditional synchronous units shows a continuous downward trend, which significantly increases the risk of power system frequency instability. A frequency risk assessment method based on the dynamic inertia contribution factor (DICF) is proposed to solve the problem of insufficient spatiotemporal resolution in traditional static inertia assessment. By defining the dynamic equivalent inertia, the real-time contribution of each unit to the system inertia is quantified, and the weighted inertia-risk index (WIRI) is constructed. Combined with the frequency deviation …

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Identification Method For Household-Phase-Transformer Relationship In Distribution Station Area Based On Fddtw And K-Median Clustering, Qiangsheng Bu, Ye Guo, Jiangping Jing, Wenfei Yi, Pengpeng Lyu, Shuyi Zhuang Apr 2026

Identification Method For Household-Phase-Transformer Relationship In Distribution Station Area Based On Fddtw And K-Median Clustering, Qiangsheng Bu, Ye Guo, Jiangping Jing, Wenfei Yi, Pengpeng Lyu, Shuyi Zhuang

Journal of Electric Power Science and Technology

To study the hierarchical relationship of branch nodes involving the identification of distributed power generation access and effectively perform the topology identification of distribution station areas, a topology identification method combining the fast derivative dynamic time-regularization algorithm (FDDTW) and K-median clustering is proposed for low-voltage active distribution station areas. Firstly, under the premise of not changing the data characteristics, the input original voltage data of the station area are normalized by utilizing the characteristics of removing the mean and standardizing the variance of the Z-score standardization method. Secondly, the distance value is calculated by adopting the FDDTW algorithm; the clustering …

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An Evaluation Method Of Carrying Capacity Of New Energy Based On Two-Stage Scenario Reduction For Multi-Time-Scale Time Series Simulation, Yongming Jing, Qiang Li, Linna Zhang, Hongli Liu, Minru Xu, Weihao Wang Apr 2026

An Evaluation Method Of Carrying Capacity Of New Energy Based On Two-Stage Scenario Reduction For Multi-Time-Scale Time Series Simulation, Yongming Jing, Qiang Li, Linna Zhang, Hongli Liu, Minru Xu, Weihao Wang

Journal of Electric Power Science and Technology

To tackle the intricate computat ional challenges arising from the multi-time-scale coupling in evaluation of the carrying capacity of new energy, a novel evaluation methodology is proposed. This approach, grounded in multi-time-scale time series simulation with a two-stage scenario reduction strategy, is designed to achieve precise and efficient evaluation of the carrying capacity of new energy. First, a time-series production simulation model of the power system is formulated, utilizing the minimization of operational costs as its objective function. A penalty mechanism is incorporated to quantitatively constrain photovoltaic curtailment, wind power curtailment, hydropower curtailment, and load shedding. The operational constraints of …

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Identification Method For High-Resistance Ground Faults In Distribution Networks Based On Traveling Wave Fault Feature Difference And Rmt Model, Junjie Shi, Daoyi Gu, Feng Deng, Pengyu Qi, Junwen Luo, Ruijun Li, Chang Tang Apr 2026

Identification Method For High-Resistance Ground Faults In Distribution Networks Based On Traveling Wave Fault Feature Difference And Rmt Model, Junjie Shi, Daoyi Gu, Feng Deng, Pengyu Qi, Junwen Luo, Ruijun Li, Chang Tang

Journal of Electric Power Science and Technology

When a high-resistance grounding fault occurs in a distribution network, the fault signal is weak, and traditional methods based on single-feature extraction are prone to causing protection maloperation. In response, this paper introduces an effective identification method for high-resistance ground faults in distribution networks based on differential features of traveling wave voltage signals and a "retentive network meets vision transformer" (RMT) model. Initially, the traveling wave voltage signal is extracted to implement wavelet packet time-frequency features, and the differences in the time-frequency domain responses between high-resistance ground faults and normal disturbance conditions are visualized. Then, a composite RMT model integrating …

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Low-Error Carbon Monitoring Method For Industrial Users Based On Equipment Sta Tus Identification, Yutao Xu, Zongyi Wang, Zhuk Ui Tan, Yun Zhao, Qihui Feng, Ziwen Cai Apr 2026

Low-Error Carbon Monitoring Method For Industrial Users Based On Equipment Sta Tus Identification, Yutao Xu, Zongyi Wang, Zhuk Ui Tan, Yun Zhao, Qihui Feng, Ziwen Cai

Journal of Electric Power Science and Technology

A low-error carbon monitoring method base d on equipment status identification is proposed to solve the problem of insufficient accuracy in existing carbon monitoring methods for industrial users. Firstly, an equipment status identification model based on temporal convolutional network-gated recurrent unit (TCN-GRU) is built to accurately identify the operating status of key carbon-emitting equipment for industrial users. Secondly, genetic algorithms (GAs) are introduced to dynamically optimize the parameters of the fully connected layer in the model, enhancing the classifier's identification capability for equipment with high carbon emissions. Finally, low-error carbon emission monitoring is achieved based on the optimized status identification …

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Game Bidding Strategy For Electric Thermal Gas Coupled Virtual Power Plants Participating In Main And Auxiliary Joint Markets, Chunyan Zhang, Zhenlan Dou, Ng Jihang Zha, Lingling Wang, Chuanwen Jiang Apr 2026

Game Bidding Strategy For Electric Thermal Gas Coupled Virtual Power Plants Participating In Main And Auxiliary Joint Markets, Chunyan Zhang, Zhenlan Dou, Ng Jihang Zha, Lingling Wang, Chuanwen Jiang

Journal of Electric Power Science and Technology

As integrated energy systems develop, multi-energy coupled virtual power plants have become an effective way to manage integrated energy systems. However, due to their numerous internal energy types, complex coupling relationships, and inability to obtain competitor information when participating in the market, it is difficult to solve their bidding strategies by adopting traditional mathematical methods. A game bidding strategy for electric thermal gas coupled virtual power plants participating in main and auxiliary joint markets based on constraint-aware multi-agent reinforcement learning is proposed. Firstly, a mathematical model of a multi-energy coupled virtual power plant is built and the energy flow relationship …

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Research On Multi-Time Scale Fast Voltage Control Strategy For Regional Power Grids With Large-Scale New Energy Collection, Zimin Zhu, Xiaoyun Wang, Yu Duan, Xiaofang Wu, Jian Ma, Xiaoyu Deng Apr 2026

Research On Multi-Time Scale Fast Voltage Control Strategy For Regional Power Grids With Large-Scale New Energy Collection, Zimin Zhu, Xiaoyun Wang, Yu Duan, Xiaofang Wu, Jian Ma, Xiaoyu Deng

Journal of Electric Power Science and Technology

To address the problems of frequent voltage fluctuations and significantly increased voltage control complexity caused by high-proportion new energy connected to the power grid, a voltage control strategy considering fast response and fine regulation capabilities is constructed for large-scale new energy collection areas, combined with the requirements of multi-time scale voltage regulation, to realize the joint control between devices with discrete response characteristics (CB) and devices with continuous regulation capabilities (SVC). According to the day-ahead expected results, coarse adjustment of discrete reactive power devices is realized by this strategy in the day-ahead stage; robust reinforcement learning is utilized in the …

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Research On Monitoring Strategy For Direct Power Supply Of Distributed Photovoltaic Power Sources, Shidong Chen, Shuai Yang, Xing He, Minqi Yu, Rui Huang Apr 2026

Research On Monitoring Strategy For Direct Power Supply Of Distributed Photovoltaic Power Sources, Shidong Chen, Shuai Yang, Xing He, Minqi Yu, Rui Huang

Journal of Electric Power Science and Technology

The randomness and intermittency of the output of distributed photovoltaic power sources pose significant challenges to the stable operation and power quality of distribution networks. In this paper, a method based on affinity propagation clustering algorithm (APCA) is proposed to effectively identify the direct power supply situations of photovoltaic power sources. Unlike traditional methods, photovoltaic power sources in the same station area are selected by this algorithm, which reduces the influence of factors such as climate and light intensity and improves the accuracy and operability of the algorithm. First, correlation coefficients are used to screen out photovoltaic power sources with …

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Identification Of Winding Deformation And Inter-Turn Short Circuit Faults In Dry-Type Transformers Based On A Combined Vibration/Ultrasound Method, Shenjiong Yao, Jialu O Chai, Yingjing Chen, Yiyang Zhou, Lingxuan Zhang, Zhousheng Zhang Apr 2026

Identification Of Winding Deformation And Inter-Turn Short Circuit Faults In Dry-Type Transformers Based On A Combined Vibration/Ultrasound Method, Shenjiong Yao, Jialu O Chai, Yingjing Chen, Yiyang Zhou, Lingxuan Zhang, Zhousheng Zhang

Journal of Electric Power Science and Technology

The insulation structure of dry-type transformers differs from that of oil-immersed transformers, and their oil-free nature makes it impossible to diagnose and forewarn inter-turn insulation faults in real time via chromatographic analysis of gas in oil. To solve this problem, a method based on a combined vibration/ultrasound method is proposed to identify winding deformation and inter-turn short circuit faults in dry-type transformers. First, the ultrasonic and vibration signals generated during winding deformation and inter-turn short circuits in dry-type transformers are collected, and the time-frequency features of the ultrasonic and vibration signals are extracted, including kurtosis, variance, mean, centroid frequency, root …

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Cable Fault Identification And Precise Location Method Based On Ssa-Bp And Iceemdan-Nteo Algorithms, Fating Yuan, Haoyue Li, Huqiang Li, Yi Yang, Shengkai Jian, Yuqing Jiang, Bo Tang Apr 2026

Cable Fault Identification And Precise Location Method Based On Ssa-Bp And Iceemdan-Nteo Algorithms, Fating Yuan, Haoyue Li, Huqiang Li, Yi Yang, Shengkai Jian, Yuqing Jiang, Bo Tang

Journal of Electric Power Science and Technology

Existing power cable traveling wave ranging methods rely on the accurate identification of the initial traveling wave and suffer from the problem of inaccurate fault location. Based on the electromagnetic transient simulation software ATP-EMTP, this paper establishes a 10 kV power cable transmission line model and proposes a double-ended traveling wave location method based on back propagation (BP) neural network optimized by the sparrow search algorithm (SSA) and novel Teager energy operator (NTEO). Firstly, the power cable transmission line model is established, the fault current waveforms under different working conditions are studied, and the SSA-BP algorithm is utilized to identify …

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Long-Term Optimal Scheduling Method For Cascade Hydro-Wind-Solar Systems Based On L2-Box Admm Algorithm, Dasong Chen, Haojie Shi, Yaoxi He, Bin Liu, Jun Yan, Xiao Zhou, Yihao Guo, Rouyu Lin Apr 2026

Long-Term Optimal Scheduling Method For Cascade Hydro-Wind-Solar Systems Based On L2-Box Admm Algorithm, Dasong Chen, Haojie Shi, Yaoxi He, Bin Liu, Jun Yan, Xiao Zhou, Yihao Guo, Rouyu Lin

Journal of Electric Power Science and Technology

The construction of integrated hydro-wind-solar energy bases is a key initiative to promote the development of the new energy industry and achieve energy transition. However, the randomness and intermittency of new energy output pose significant challenges to the long-term optimal scheduling of cascade hydro-wind-solar systems. In response, this paper proposes a coordinated dispatch method for cascade hydro-wind-solar systems that incorporates new energy confidence capacity. First, a definition of new energy confidence capacity incorporating hydropower reserve compensation is proposed and transformed into a mixed-integer linear programming problem. Based on this, the constraints of hydropower units are meticulously modeled. To solve the …

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Active Distribution Network Self-Healing Method Based On Microgrid Splitting, Zhi Zhang, Jun Hu, Li Ding, Fu Li, Yongwei Qiu Apr 2026

Active Distribution Network Self-Healing Method Based On Microgrid Splitting, Zhi Zhang, Jun Hu, Li Ding, Fu Li, Yongwei Qiu

Journal of Electric Power Science and Technology

A distribution network can be divided into small-scale microgrids to respond effectively to system disturbances. This flexible structural change not only facilitates fast fault recovery, but also ensures the supply of critical loads. Therefore, a regional microgrid division and adjustable interval self-healing optimization approach for high uncertainty conditions is proposed. First, the existing large-scale distribution network is split into a collection of well-supplied microgrids with sufficient resilience to facilitate the system's self-healing function during faults. Under this framework, the operation of microgrids is decomposed into interconnection and island modes by identifying the combination of heterogeneous renewable generation resources and the …

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Multi-Dimensional Quantitative Assessment Method For Flexibility Of Hydro-Wind-Pv Multi-Energy Complementary Power Generation Systems Across Multiple Time Scales, Xiangyi Chen, Quan Qing, Chunyi Huang, Yonglong Zhao, Ruoyun Wang, Tu Xu, Kai Liao Apr 2026

Multi-Dimensional Quantitative Assessment Method For Flexibility Of Hydro-Wind-Pv Multi-Energy Complementary Power Generation Systems Across Multiple Time Scales, Xiangyi Chen, Quan Qing, Chunyi Huang, Yonglong Zhao, Ruoyun Wang, Tu Xu, Kai Liao

Journal of Electric Power Science and Technology

With the gradual transition of the energy system toward clean energy, multi-energy complementary power generation systems with hydro-wind-PV (MCPSs-HWP) have developed rapidly. However, the volatility and uncertainty of wind and PV output, as well as the seasonal variation of hydropower regulation capability, make the dynamic interactions of diversified generation resources across multiple time scales complex, and the key influencing factors of the flexible regulation capability of MCPSs-HWP and their influence mechanisms remain unclear. Therefore, this paper explores the differentiated characteristics of hydropower, wind power, and PV power over long-term and medium- to short-term horizons, and proposes a multi-dimensional quantitative assessment …

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A Soft-Switching High Voltage Gain Dc-Dc Converter Based On Coupled Inductor, Zhixia Bai, Yushu Cheng, Xiangyuan Lyu, Jiayi Liu, Xuerui Zhang Apr 2026

A Soft-Switching High Voltage Gain Dc-Dc Converter Based On Coupled Inductor, Zhixia Bai, Yushu Cheng, Xiangyuan Lyu, Jiayi Liu, Xuerui Zhang

Journal of Electric Power Science and Technology

To solve the problem of voltage mismatch among photovoltaic systems, fuel cells, and high-voltage direct current (DC) buses, a soft-switching high voltage gain DC-DC converter based on a coupled inductor is proposed, which is suitable for non-isolated input-output scenarios. First, the working principle of the converter is analyzed, and the voltage gain of the converter is derived; then, the soft-switching characteristics and voltage stress are analyzed, and a comparison of parameters and characteristics with other converters is provided. Finally, an experimental prototype with an input of 25‒35 V, an output of 200 V, and a power of 500 W is …

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Stochastic Load Disturbance Estimation And Compensation Control Method For Grid-Forming Energy Storage Systems, Xinchi Wei, Chenwei Deng, Chen Fang, Weiyu Wang, Jinsong Liu Apr 2026

Stochastic Load Disturbance Estimation And Compensation Control Method For Grid-Forming Energy Storage Systems, Xinchi Wei, Chenwei Deng, Chen Fang, Weiyu Wang, Jinsong Liu

Journal of Electric Power Science and Technology

The grid-forming energy storage system is an effective means to support the independent operation of islanded microgrids. Due to the small overall inertia of the microgrid, its frequency is easily affected by distributed generation and load fluctuations, resulting in a weak disturbance rejection capability of the system. To improve the frequency stability of the microgrid during islanded operation, a stochastic load disturbance estimation and compensation control method for grid-forming converters is proposed. First, an equivalent nonlinear model of the islanded microgrid containing grid-forming energy storage systems is constructed. Then, the Ornstein-Uhlenbeck process is used to describe the stochastic load disturbances …

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Fast Identification Algorithm For Wide-Band Oscillation Parameters Based On Sfft, Yongyan Chen, Liang Luo, I Yue Me, Ying Xia, Ying Lu, Zhonghao Pan, Shuang Feng Apr 2026

Fast Identification Algorithm For Wide-Band Oscillation Parameters Based On Sfft, Yongyan Chen, Liang Luo, I Yue Me, Ying Xia, Ying Lu, Zhonghao Pan, Shuang Feng

Journal of Electric Power Science and Technology

As the "dual-carbon" strategy goals are implemented, the oscillations induced by high-penetration power electronic devices are increasingly characterised by the wide frequency domain, strong time-varying and multimodality. The sampling frequency of modern wide-band measurement devices has been substantially increased accordingly to monitor such oscillations. Traditional fast Fourier transform (FFT) parameter identification methods face a contradiction between identification accuracy and identification speed. To this end, a fast identification algorithm for oscillation parameters of multi-modal wide-band signals based on the sparse Fourier transform (SFT) is proposed. Firstly, by utilizing the frequency-domain sparsity of wide-band signals of power systems, multiple non-zero frequency-domain coefficients …

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Promoting Climate Justice Through Smr Licensing In The United States And Canada: Legal Comparison And Lessons For Vietnam And Developing Countries, Nhut Le Minh, Tran Quang Huy, Tran Vu Thien An Apr 2026

Promoting Climate Justice Through Smr Licensing In The United States And Canada: Legal Comparison And Lessons For Vietnam And Developing Countries, Nhut Le Minh, Tran Quang Huy, Tran Vu Thien An

Indonesia Law Review

Climate justice is an issue raised in Vietnam and many developing countries around the world due to the increasing number of serious climate change events in recent years. For this reason, energy transition is chosen as one of the solutions for climate justice promotion in Vietnam, as well as in other developing countries. Across the options, Small modular reactor (SMR) investment is under significant consideration for climate justice promotion in Vietnam and the developing countries. SMR can ensure that every person has access to clean energy while protecting the environment. However, developing SMR requires the harmonisation between innovation and nuclear …

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