Automatic Transfer Switch (ATS) for Floating Lift Net Powered by Hybrid Energy Source by Hariyanto Surya, Lobo’ Darmin, Mahmuddin Faisal, Klara Syerly

“…The increasing demand for renewable energy as an alternative to fossil fuels has driven innovations in hybrid power systems. This study focuses on optimizing a hybrid energy system for a floating lift net utilizing solar panels (photovoltaic) and a backup generator managed by an Automatic Transfer Switch (ATS). …”
Get full text

Simultaneous Planning of the Medium and Low Voltage Distribution Networks under Uncertainty: A Bi-Level Optimization Approach by Abdollah Rastgou, Saman Hosseini-Hemati

“…Distribution network expansion planning (DNEP) is one of the important matters in the field of planning and operation of electrical power systems. Since many costs and losses have occurred in the distribution networks, it has increased attention towards this network. …”
Get full text

Artificial Intelligence and Physics-Based Anomaly Detection in the Smart Grid: A Survey by Giovanni Battista Gaggero, Paola Girdinio, Mario Marchese

“…The integration of advanced communication systems and distributed resources has transformed power systems, enhancing control and efficiency in the Smart Grid. …”
Get full text

Research on OPF Control of Three-Phase Four-Wire Low-Voltage Distribution Network considering Uncertainty by Rui Wang, Xiaoqing Bai, Shengquan Huang, Shoupu Wei

“…As power systems become more complex and uncertain, low-voltage distribution networks face numerous challenges, including three-phase imbalances caused by asymmetrical loads and distributed energy resources. …”
Get full text

Observations on Harmonics Summation in Transmission Systems: Alternative Aggregation Estimation by Rafael S. Salles, Maise N. S. Silva, Paulo F. Ribeiro

“…The aggregation of harmonic components from different sources is one of the critical and challenging assessments in electric power systems. Harmonic summation analysis and estimation is not a simple task since there will be variations because of the grid complexity, nonlinear sources, and unpredictable behaviour of harmonic currents that affect the results. …”
Get full text

Enhanced High Performance Power Compensation Methodology by IPFC Using PIGBT-IDVR by Subramanian Arumugom, Marimuthu Rajaram

“…Currently, power systems are involuntarily controlled without high speed control and are frequently initiated, therefore resulting in a slow process when compared with static electronic devices. …”
Get full text

Optimal Site Selection for a Solar Power Plant in the Central Anatolian Region of Turkey by Ozge Pinar Akkas, Mustafa Yasin Erten, Ertugrul Cam, Nihat Inanc

“…Today, required photovoltaic power systems (PVPS) and wind energy systems (WES) are widely used as RES for addressing these problems. …”
Get full text

An optimized method for short-term load forecasting based on feature fusion and ConvLSTM-3D neural network by Xiaofeng Yang, Shousheng Zhao, Kangyi Li, Wenjin Chen, Si Zhang, Jingwei Chen

“…As renewable energy continues to penetrate modern power systems, accurate short-term load forecasting is crucial for optimizing power generation resource allocation and reducing operational costs. …”
Get full text

A low‐rating 40‐pulse AC–DC rectifier based on a new passive harmonic mitigation circuit by Rohollah Abdollahi, Gevork B. Gharehpetian

“…Abstract A novel 40‐pulse autotransformer rectifier is proposed to reduce total harmonic distortion (THD) of the input current in aircraft electrical power systems. The 40‐pulse rectifier (40PR) includes a passive harmonic reduction circuit (PHMC) with a low kVA rating (about 0.95% of the load power) to enhance the performance of the conventional 40PR. …”
Get full text

A hybrid model for smart grid theft detection based on deep learning by Yinling LIAO, Jincan LI, Bing WANG, Jun ZHANG, Yaoyuan LIANG

“…A hybrid deep learning model was proposed to effectively detect electricity theft in smart grids.The hybrid model employed a deep learning convolutional neural network (AlexNet) to tackle the curse of dimensionality, significantly enhancing data processing accuracy and efficiency.It further improved classification accuracy by differentiating between normal and abnormal electricity usage using adaptive boosting (AdaBoost).To resolve the issue of class imbalance, undersampling techniques were utilized, ensuring balanced performance across various data classes.Additionally, the artificial bee colony algorithm was used to optimize hyperparameters for both AdaBoost and AlexNet, effectively boosting overall model performance.The effectiveness of this hybrid model was evaluated using real smart meter datasets from an electricity company.Compared to similar models, this hybrid model achieves accuracy, precision, recall, F1-score, Matthews correlation coefficient (MCC), and area under the curve-receiver operating characteristic curve (AUC-ROC) scores of 88%, 86%, 84%, 85%, 78%, and 91%, respectively.The proposed model not only increases the accuracy of electricity usage monitoring, but also offers a new perspective for intelligent analysis in power systems.…”
Get full text

A New Strategy for Short-Term Load Forecasting by Yi Yang, Jie Wu, Yanhua Chen, Caihong Li

“…Accurate short-term load forecasting (STLF) plays a vital role in power systems because it is the essential part of power system planning and operation, and it is also fundamental in many applications. …”
Get full text

Novel intelligent adaptive sliding mode control for marine fuel cell system via hybrid algorithm by Shiyi Fang, Daifen Chen, Xinyu Fan

“…This technology is not only limited to small vessels, but also is applicable to the auxiliary power systems of larger ships. In this paper, a hybrid control scheme based on optimization algorithms and observer are presented. …”
Get full text

Day-ahead Clearing Method for High-proportion Hydropower Electricity Market by ZHANG Yang, SHEN Jianjian, ZHAO Qihao, XIE Mengfei, JIA Zebin

“…How to handle the complex characteristics of cascade hydropower and solve the competitive spillage and power shortage problem is one of the key issues in the clearing of the high-proportion hydropower day-ahead spot electricity market.Therefore,combined with the project in Yunnan,this paper proposes a day-ahead clearing method for the high-proportion hydropower electricity market.In this method,the hydraulic constraints in the clearing model are replaced by the post-hydraulic check.Combined with the essential causes of competitive spillage and power shortage problems,the paper constructs a conditional constraint set including cascaded hydropower linkage constraints and spillage control constraints,and corresponding trigger conditions respectively.Moreover,the constraint boundaries are dynamically updated to gradually reduce competitive spillage and power shortage in the iterative solution procedure.A settlement compensation strategy is finally designed to provide corresponding benefits for plants involved in solving the spillage.The proposed method is validated by a real-world hydropower-dominated provincial system ranking second in China.The results show that competitive spillage and power shortage can be avoided or reduced substantially.It is demonstrated that this method meets the requirements of practicability and timeliness for day-ahead spot clearing of hydropower-dominated provincial power systems.…”
Get full text

A Review on Impact of the Marine Salt Spray Environment on the Performance of Proton Exchange Membrane Fuel Cells by Shian Li, Jiakai Zhu, Guogang Yang, Qiuwan Shen

“…With the escalating global demand for clean energy, the proton exchange membrane fuel cell (PEMFC), as an efficient and environmentally friendly energy conversion device, has emerged as a pivotal component of new power systems, playing a crucial role in achieving global carbon emission reduction targets. …”
Get full text

An Effective Node-To-Edge Interdependent Network and Vulnerability Analysis for Digital Coupled Power Grids by Yifan Li, Bo Wang, Hongxia Wang, Fuqi Ma, Hengrui Ma, Jiaxin Zhang, Yingchen Zhang, Mohamed A. Mohamed

“…With the deep coupling between the cyber side and the physical side of power systems, the failure of any link of both sides may lead to power outages, so it is necessary to analyze their vulnerability and vulnerable links for targeted improvement of systems. …”
Get full text

Numerical Algorithm for Solving Market Clearing Problem in Power Electronics-Based Power Distribution Systems by Musharrat Sabah, Aaron M. Cramer, Yuan Liao

“…The algorithm is applied on a complex representative power system and three simplified power systems based on the representative system under different operational scenarios. …”
Get full text

Cyber–Physical–Social Security of High-DER-Penetrated Smart Grids: Threats, Countermeasures, and Challenges by Qiuyu Lu, Jun’e Li, Zhao Peng, Ming Ni

“…Subsequently, the limitations of the deployed security measures in current power systems are discussed, and an overview of the state-of-art countermeasures for the SGs security faced by the threats is organized in three stages: prevention, detection, and mitigation. …”
Get full text

Fault Diagnosis of Power Transformers With Membership Degree by Enwen Li, Linong Wang, Bin Song

“…Power transformers are important equipment for power systems, and a dissolved gas analysis (DGA) is widely used to detect incipient faults in oil-pregnant transformers. …”
Get full text

Effect of DGs on Power Quality of Distribution System: An Analytical Review by Iqbal Javed, Rashid Zeeshan

“…Future power generating networks have a bright outlook on consideration of DG’s potential for utilising alternative energy sources. The quality of power systems is a crucial concern for energy providers and consumers. …”
Get full text

Review and Performance Evaluation of Photovoltaic Array Fault Detection and Diagnosis Techniques by Albert Yaw Appiah, Xinghua Zhang, Ben Beklisi Kwame Ayawli, Frimpong Kyeremeh

“…Consequently, installation and utilization of PV power systems have seen much growth in recent years. …”
Get full text