Tusongjiang Kari
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View article: Collaborative Game Theory Between Microgrid Operators and Distribution System Operator Considering Multi-Faceted Uncertainties
Collaborative Game Theory Between Microgrid Operators and Distribution System Operator Considering Multi-Faceted Uncertainties Open
In the vigorous development of the power system, to address the economic challenges of multi-microgrid systems, this paper proposes a Nash bargaining model for collaboration between microgrid operators (MGs) and a distribution system opera…
View article: Dynamic Comprehensive Evaluation of a 660 MW Ultra-Supercritical Coal-Fired Unit Based on Improved Criteria Importance through Inter-Criteria Correlation and Entropy Weight Method
Dynamic Comprehensive Evaluation of a 660 MW Ultra-Supercritical Coal-Fired Unit Based on Improved Criteria Importance through Inter-Criteria Correlation and Entropy Weight Method Open
To address the issue of traditional static evaluation models being unable to comprehensively analyze the performance of ultra-supercritical coal-fired units under varying loads, we propose a dynamic comprehensive evaluation model based on …
View article: Dynamic Comprehensive Evaluation of a 660MW Ultra-Supercritical Coal-Fired Unit Based on Improved Criteria Importance through Inter-criteria Correlation and Entropy Weight Method
Dynamic Comprehensive Evaluation of a 660MW Ultra-Supercritical Coal-Fired Unit Based on Improved Criteria Importance through Inter-criteria Correlation and Entropy Weight Method Open
To address the issue of traditional static evaluation models being unable to comprehensively analyse the performance of ultra-supercritical coal-fired units under varying loads, we propose a dynamic comprehensive evaluation model based on …
View article: Power Transformer Fault Diagnosis Using Random Forest and Optimized Kernel Extreme Learning Machine
Power Transformer Fault Diagnosis Using Random Forest and Optimized Kernel Extreme Learning Machine Open
Power transformer is one of the most crucial devices in power grid. It is significant to determine incipient faults of power transformers fast and accurately. Input features play critical roles in fault diagnosis accuracy. In order to furt…
View article: Hybrid Feature Selection Approach for Power Transformer Fault Diagnosis Based on Whale Optimization Algorithm and Extreme Learning Machine
Hybrid Feature Selection Approach for Power Transformer Fault Diagnosis Based on Whale Optimization Algorithm and Extreme Learning Machine Open
To further improve fault diagnosis performance, a new hybrid feature selection approach combined with whale optimization algorithm and extreme learning machine is presented in this study.Firstly, three filter methods based on different eva…
View article: Health Assessment and Remaining Useful Life Prediction of Wind Turbine High-Speed Shaft Bearings
Health Assessment and Remaining Useful Life Prediction of Wind Turbine High-Speed Shaft Bearings Open
Vibration signals contain abundant information that reflects the health status of wind turbine high-speed shaft bearings ((HSSBs). Accurate health assessment and remaining useful life (RUL) prediction are the keys to the scientific mainten…
View article: Mixed Kernel Function Support Vector Regression with Genetic Algorithm for Forecasting Dissolved Gas Content in Power Transformers
Mixed Kernel Function Support Vector Regression with Genetic Algorithm for Forecasting Dissolved Gas Content in Power Transformers Open
Forecasting dissolved gas content in power transformers plays a significant role in detecting incipient faults and maintaining the safety of the power system. Though various forecasting models have been developed, there is still room to fu…
View article: Identification of Power Transformer Winding Fault Types by a Hierarchical Dimension Reduction Classifier
Identification of Power Transformer Winding Fault Types by a Hierarchical Dimension Reduction Classifier Open
Frequency response analysis (FRA) demonstrates significant advantages in the diagnosis of transformer winding faults. The instrument market desires intelligent diagnostic functions to ensure that the FRA technique is more practically usefu…
View article: Power transformer fault diagnosis using FCM and improved PCA
Power transformer fault diagnosis using FCM and improved PCA Open
In order to improve fault diagnosis accuracy of power transformer, a new fault diagnosis model based on fuzzy C‐means (FCM) clustering algorithm and improved principal component analysis (IPCA) is presented. First, dissolve gas analysis sa…