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Models Of Advocacy And Support- A Cross-Organizational Study, Kaylee Allen

Celebrating Scholarship and Creativity Day (2018-)

I will be comparing other organizations to my job. Over the semester, I will look at the similarities and differences between TLH, QC, OM, and REM. Through these companies, I will examine how each advocates and supports disabled individuals in achieving independence, inclusion, and these individuals’ quality of life. The main goal of this study is to understand how these companies advocate for these individuals, what support services are offered, and the community integration efforts that are used by these companies. By analyzing these examples, this research aims to bring a better understanding of how community-based services can promote empowerment …

Predicting Epileptic Seizures From Eeg Signals Using Machine Learning, Hamzah Luqman, Galal M Binmakhashen, Hanan Alali, Marwa Alsleebi, Hamdi A. Al-Jamimi, Motaz Alfarraj, Shahid Bashir, Brent Hedgcock, Ali Mir, Raidah Albaradie

Neurosciences

Objective: To develop a machine learning-based model for predicting epileptic seizures by analyzing electroencephalogram (EEG) signals and classifying the interictal and preictal phases.

Methods: The EEG signals were analyzed in both the time and frequency domains using advanced feature extraction techniques. Three different machine learning approaches were employed, with special focus on long short-term memory (LSTM) networks. Features were extracted and classified to differentiate between seizure and non-seizure phases. The proposed models were evaluated using the publicly available CHB-MIT EEG dataset. The study was conducted between September 2022 and September 2024.

Results: Among the tested models, the LSTM-based approach using …

Epilepsy And Cluster C Personality Disorders: A Saudi Cross-Sectional Study, Mohammed A. Aljaffer, Ahmad H. Almadani, Ayedh H. Alghamdi, Mohammad N. Aljarba, Azzam A. Alotaibi, Mohammed A. Alorayyidh, Abdulaziz M. Alawwad, Rakan S. Alromayan, Faisal M. Alkhunein, Sohaila A. Alshimemeri, Bandar N. Aljafen

Neurosciences

Objective: Epilepsy is a neurological disorder with profound impacts on various aspects of life. It may lead to significant medical and psychiatric comorbidities, one of which is personality disorders (PDs). This study aims to assess the prevalence of Cluster C PDs among adult patients with epilepsy (PWE) at a tertiary care hospital in Riyadh, Saudi Arabia. Method: This cross-sectional study, conducted between January 2024 and April 2025, enroled 360 adult PWE using convenience sampling. The study tool included the Structured Clinical Interview for DSM Disorders criteria, along with additional demographic and epilepsy-related questions developed by the research team. Results: Cluster …

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 …

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 …

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 …

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, …

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 …

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 …

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 …

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 …

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 …

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 …

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

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 …

Strengthening Adolescent Self-Regulation Through School-Based Psychological Empowerment Programs, Masfuukhatur Rokhmah

Bhakti: Jurnal Pengabdian Masyarakat

Adolescence is a critical developmental stage characterized by increasing academic demands, emotional fluctuations, and the need for effective self-management skills. Many senior high school students experience difficulties in regulating time, emotions, and priorities, which may hinder both academic adaptation and psychological well-being. This study reports a school-based psychological empowerment program designed to strengthen self-regulation among students of a public senior high school in Indonesia. Using a pretest–posttest design, the program involved 323 tenth-grade students who participated in a structured intervention consisting of psychoeducation, self-reflection, case-based discussions, journaling exercises, and self-care training. Self-regulation was measured using the Short Self-Regulation Questionnaire (SSRQ). …

Quality Improvement Project: Impact Of An Escape Room Simulation Tool On Nursing Confidence, Farren M. Moore

Doctor of Nursing Practice Projects

This quality improvement project aims to address the need for innovative teaching strategies to meet the demands of licensure exams and the increasing complexity of patient care. Evidence supports simulation-based learning as an effective method to enhance critical thinking and clinical judgment; however, faculty members lack confidence in implementing innovative strategies in their courses. The purpose of this project is to determine whether a standardized escape room simulation tool would impact faculty’s self-confidence in developing and implementing simulation-based activities. Guided by the National League for Nursing (NLN) Jeffries Simulation Theory and Lewin’s Change Theory, the project evaluates the change in …

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