Zhihuai Xiao
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View article: Suppression and Analysis of Low-Frequency Oscillation in Hydropower Unit Regulation Systems with Complex Water Diversion Systems
Suppression and Analysis of Low-Frequency Oscillation in Hydropower Unit Regulation Systems with Complex Water Diversion Systems Open
Low-frequency oscillation (LFO) poses significant challenges to the dynamic performance of hydropower unit regulation systems (HURS) in hydropower units sharing a tailwater system. Previous methods have struggled to effectively suppress LF…
View article: Optimization of Hydropower Unit Startup Process Based on the Improved Multi-Objective Particle Swarm Optimization Algorithm
Optimization of Hydropower Unit Startup Process Based on the Improved Multi-Objective Particle Swarm Optimization Algorithm Open
In order to improve the dynamic performance during the startup process of hydropower units, while considering the efficient and stable speed increase and effective suppression of water pressure fluctuations and mechanical vibrations, optim…
View article: Hydroelectric Unit Vibration Signal Feature Extraction Based on IMF Energy Moment and SDAE
Hydroelectric Unit Vibration Signal Feature Extraction Based on IMF Energy Moment and SDAE Open
Aiming at the problem that it is difficult to effectively characterize the operation status of hydropower units with a single vibration signal feature under the influence of multiple factors such as water–machine–electricity coupling, a mu…
View article: Stability analysis of a hydropower plant containing pipe and channel flows
Stability analysis of a hydropower plant containing pipe and channel flows Open
This work studies the operational stability of the tailrace network containing mixed types of flows in a hydropower station with the complex frequency-domain networked transfer matrix method. First, the networked transfer matrix of the sys…
View article: Study on the hydraulic turbine modeling method based on IGSA-NN revision strategy
Study on the hydraulic turbine modeling method based on IGSA-NN revision strategy Open
With the further increase of renewable energy such as wind power and photovoltaic in the power grid, the hydraulic turbine regulating system (HTRS) faces enormous challenges. As simulation modeling is the basis for studying the optimal con…
View article: Improved Grey Wolf Algorithm and Application to Optimal State Feedback Robust H∞ Control for Hydraulic Turbine Regulation System with Uncertain Singular Time-Delay
Improved Grey Wolf Algorithm and Application to Optimal State Feedback Robust H∞ Control for Hydraulic Turbine Regulation System with Uncertain Singular Time-Delay Open
View article: Design of Intelligent Nonlinear H2/H∞ Robust Control Strategy of Diesel Generator-Based CPSOGSA Optimization Algorithm
Design of Intelligent Nonlinear H2/H∞ Robust Control Strategy of Diesel Generator-Based CPSOGSA Optimization Algorithm Open
In today’s human society, diesel generators (DGs) are widely applied in the human energy and electricity supply system due to its technical, operational, and economic advantages. This paper proposes an intelligent nonlinear H2/H∞ robust co…
View article: Design of Intelligent Nonlinear H<sub>2</sub>/H<sub>∞</sub> Robust Control Strategy of Diesel Generator Based CPSOGSA Optimization Algorithm
Design of Intelligent Nonlinear H<sub>2</sub>/H<sub>∞</sub> Robust Control Strategy of Diesel Generator Based CPSOGSA Optimization Algorithm Open
In today's human society, diesel generators (DGs) are highly applied into the human energy and electricity supply system due to its technical, operational and economic advantages. This paper proposes an intelligent nonlinear $H_2/H_{\…
View article: Design of Intelligent Nonlinear Robust Controller for Hydro-Turbine Governing System Based on State-Dynamic-Measurement Hybrid Feedback Linearization Method
Design of Intelligent Nonlinear Robust Controller for Hydro-Turbine Governing System Based on State-Dynamic-Measurement Hybrid Feedback Linearization Method Open
View article: A Transformer Fault Diagnosis Model Based on Chemical Reaction Optimization and Twin Support Vector Machine
A Transformer Fault Diagnosis Model Based on Chemical Reaction Optimization and Twin Support Vector Machine Open
The condition monitoring and fault diagnosis of power transformers plays a significant role in the safe, stable and reliable operation of the whole power system. Dissolved gas analysis (DGA) methods are widely used for fault diagnosis, how…
View article: Fault diagnosis of rotor using EMD thresholding-based de-noising combined with probabilistic neural network
Fault diagnosis of rotor using EMD thresholding-based de-noising combined with probabilistic neural network Open
De-noising of signal processing is crucial for fault diagnosis in order to successfully conduct feature extraction and is an efficient method for accurate determination of cause. In this paper, the empirical mode decomposition (EMD) thresh…