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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 …


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 …


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 …


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 …


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 …


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 …


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 …


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 …


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 …


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 …


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 …


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 …


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 …


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 …


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 …


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 …


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 …


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 …


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 …


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 …


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 …


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 …


Children Facing The Law: Addressing Narcotics Offenses Through Restorative Justice, Nashriana Nashriana, Desia R. Banjarani Apr 2026

Children Facing The Law: Addressing Narcotics Offenses Through Restorative Justice, Nashriana Nashriana, Desia R. Banjarani

Indonesia Law Review

In recent years, the increasing number of children involved in narcotics-related crimes in Indonesia has raised concerns about the effectiveness of the current juvenile justice system. While the Juvenile Criminal Justice System Law promotes the use of diversion and restorative justice, in practice, punitive measures such as imprisonment remain the dominant approach. This gap between normative ideals and legal reality highlights the need for reform. Drawing from comparative legal frameworks in countries such as the United States, Germany, and Spain, this study explores the potential of therapeutic treatment as a more humane and effective response to juvenile narcotics offenses. Therapeutic …


Reassessing Mining Share Divestment In Indonesia: Legal Challenges And Environmental Accountability, Ida Sumarsih, Luo Yuan Yuan Apr 2026

Reassessing Mining Share Divestment In Indonesia: Legal Challenges And Environmental Accountability, Ida Sumarsih, Luo Yuan Yuan

Indonesia Law Review

This article examines mining share divestment in Indonesia as an instrument of state control over natural resources and assesses the legal, institutional, and environmental challenges affecting its implementation. Using a normative legal approach, the study analyzes the applicable constitutional, statutory, and regulatory framework, supported by cases involving PT Kasongan Bumi Kencana, PT Newmont Nusa Tenggara, and PT Freeport Indonesia. The analysis identifies recurring problems relating to delayed compliance, fragmented institutional authority, limited financial capacity among Indonesian participants, and disputes concerning share valuation. Public Choice Theory and Rational Choice Theory are employed as supplementary analytical lenses to explain governmental decision-making concerning …


The Rodrigo Duterte Case At The International Criminal Court: Towards The Erosion Of States’ Right To Withdraw From The Rome Statute?, Giovanni Chiarini Dr Apr 2026

The Rodrigo Duterte Case At The International Criminal Court: Towards The Erosion Of States’ Right To Withdraw From The Rome Statute?, Giovanni Chiarini Dr

Indonesia Law Review

The Rodrigo Duterte case raises complex questions concerning the interpretation of Article 127 of the Rome Statute (RS), particularly regarding its statutory limits relating to the one-year window governing the effects of withdrawal, as well as the interpretation of the procedural identity of the preliminary examination. This paper is divided into two parts: the first briefly outlines the procedural history of the war on drugs case from 2016 to 2024; the second analyses the dissenting opinion concerning the interpretation of Article 127 RS and explores the key developments from 2025 to 2026, focusing on the main issues raised by the …


Strategies To Increase Service Utilization And Profitability In The Non-Emergency Medical Transportation Business, Ugochukwu Obidiugwu Onyemaobi Apr 2026

Strategies To Increase Service Utilization And Profitability In The Non-Emergency Medical Transportation Business, Ugochukwu Obidiugwu Onyemaobi

Walden Dissertations and Doctoral Studies

Underutilization of services is a concern for business managers because it reduces organizational profitability and efficiency. Business leaders in non-emergency medical transportation organizations are particularly affected by this issue due to its impact on operational sustainability. Grounded in change management and innovation theories, this qualitative pragmatic inquiry explores strategies managers use to mitigate service underutilization and increase profitability. The participants were six managers of non-emergency medical transportation businesses who implemented successful strategies to mitigate service underutilization and increase profitability. Data were collected using semi-structured interviews and publicly available documents. Through thematic analysis, six themes were identified: (a) optimizing scheduling efficiency, …


Perceptions Of Instructional Accommodations Among Nursing Students With Information Processing Disorder, Imaobong Aliyu Apr 2026

Perceptions Of Instructional Accommodations Among Nursing Students With Information Processing Disorder, Imaobong Aliyu

Walden Dissertations and Doctoral Studies

Instructional accommodations in nursing education often emphasize testing adjustments, while classroom-based instructional support for students with information processing challenges remains underexamined. This descriptive qualitative study explored pre-licensure nursing students’ perceptions of instructional accommodations for students with information processing disorders in Southern California. Guided by humanistic learning theory, the study addressed the research question: What are the perceptions of instructional accommodations in the classroom setting among pre-licensure nursing students with information processing disorders? Seven pre-licensure nursing students participated in semistructured Zoom interviews. Data were analyzed using an inductive process consistent with Saldaña’s analytic approach. Analysis revealed one overarching theme- Instructional accommodations …


Strategies Used By Software Leaders To Manage Technical Debt, Noel G. Alexander Apr 2026

Strategies Used By Software Leaders To Manage Technical Debt, Noel G. Alexander

Walden Dissertations and Doctoral Studies

A lack of effective strategies for managing software technical debt (TD) can negatively affect organizational performance. Software leaders are concerned that unmanaged TD threatens business growth and competitiveness. Grounded in bounded rationality theory, the purpose of this qualitative pragmatic inquiry was to explore effective strategies used by software leaders to reduce software TD. The participants were six senior software leaders from private software companies in the United States. Data were collected through semistructured interviews and the review of publicly available industry reports. Through thematic analysis, four themes were identified: (a) balancing product delivery and technical health; (b) leadership, stewardship, and …


Narratives From Law Enforcement Officers Who Leave Policing, Hector Rene Matascastillo Apr 2026

Narratives From Law Enforcement Officers Who Leave Policing, Hector Rene Matascastillo

Walden Dissertations and Doctoral Studies

Beginning in May 2020, a national exodus of law enforcement officers (LEOs) from the profession occurred. There has been speculation about the causes, including social unrest and trauma, while some claim that there has always been this level of attrition. The purpose of this study was to capture the narratives of LEOs regarding what motivated them to leave the profession after May 2020 and before achieving their retirement goals. The theoretical lens of general strain theory guided this study, as it posits that people under great strain resort to options that they would not usually consider, such as leaving the …


Effective Strategies For Onboarding Programs Mitigating Turnover Of Recently Separated Veterans, Jamie Reed Apr 2026

Effective Strategies For Onboarding Programs Mitigating Turnover Of Recently Separated Veterans, Jamie Reed

Walden Dissertations and Doctoral Studies

High rates of early turnover among recently separated veterans weaken workforce stability and disrupt both family and organizational outcomes. Employers, veteran service organizations, and families are concerned that without comprehensive onboarding programs, veterans’ adjustment and retention will suffer. Grounded in Schlossberg’s adult transition theory and the 4S transition model, the purpose of this qualitative pragmatic inquiry was to explore effective onboarding strategies to mitigate turnover among recently separated veterans. The participants were six business leaders with experience onboarding veterans in Department of Defense-contracted industries in the United States. Data were collected through semistructured interviews and publicly available documents. Through thematic …