Guowei Cai
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View article: Mechanism-Guided Data-Driven assessment method for Multi-Scenario Short-Term voltage stability
Mechanism-Guided Data-Driven assessment method for Multi-Scenario Short-Term voltage stability Open
With the increasing integration of renewable energy sources and the expansion of direct current transmission systems, power system modeling has become increasingly complex, and the causes of voltage instability have grown more diverse. Thi…
View article: Design of an improved adaptive sliding mode observer for charge/discharge control in flywheel energy storage systems
Design of an improved adaptive sliding mode observer for charge/discharge control in flywheel energy storage systems Open
Aiming to address severe sliding mode chattering in traditional sliding mode observer (SMO), high-frequency harmonics in the back electromotive force (EMF), and low rotor position estimation accuracy, this paper proposes an improved adapti…
View article: Multi-objective configuration and evaluation of dynamic virtual inertia from DFIG based wind farm for frequency regulation
Multi-objective configuration and evaluation of dynamic virtual inertia from DFIG based wind farm for frequency regulation Open
Modern power systems are gradually evolving into low-inertia systems due to the integration of high penetration of renewable energy and power electronic equipment. For the natural inertia on the rotor, doubly-fed induction generator (DFIG)…
View article: Online assessment of short-term voltage stability based on hybrid model and data-driven approach
Online assessment of short-term voltage stability based on hybrid model and data-driven approach Open
With the continuously increasing integration of renewable energy sources into power grids, the dynamic response of a power system is becoming more complex. For example, the interaction between the dynamic loads and low-voltage ride-through…
View article: A Lithium Battery Fault Diagnosis Model Driven by Both Data and Models, Generated Based on Fault Data
A Lithium Battery Fault Diagnosis Model Driven by Both Data and Models, Generated Based on Fault Data Open
View article: A Lithium Battery Fault Diagnosis Model Driven by Both Data and Models, Generated Based on Fault Data
A Lithium Battery Fault Diagnosis Model Driven by Both Data and Models, Generated Based on Fault Data Open
View article: Improved LSTM based state of health estimation using random segments of the charging curves for lithium-ion batteries
Improved LSTM based state of health estimation using random segments of the charging curves for lithium-ion batteries Open
Battery State of Health (SOH) estimation is crucial for providing valuable information for optimizing battery usage and improving battery efficiency. Considering the uncertainties in battery charging behavior during practical usage, this p…
View article: Day-ahead and intra-day two-stage low-carbon economic scheduling method considering multi-form energy-intensive load
Day-ahead and intra-day two-stage low-carbon economic scheduling method considering multi-form energy-intensive load Open
To solve the problem of the large gap in the regulation resources of the power system due to the large number of wind power connected to the grid and to help achieve the strategic energy goal of “carbon neutrality and carbon peaking,” the …
View article: Ambient Data-Driven Participation Factors Related to Oscillation Modes Based on Subspace Dynamic Mode Decomposition
Ambient Data-Driven Participation Factors Related to Oscillation Modes Based on Subspace Dynamic Mode Decomposition Open
View article: Online Assessment of Short-Term Voltage Stability Based on Hybrid Model and Data-Driven Approach
Online Assessment of Short-Term Voltage Stability Based on Hybrid Model and Data-Driven Approach Open
View article: A wind power curtailment reduction strategy using electric vehicles based on individual differential evolution quantum particle swarm optimization algorithm
A wind power curtailment reduction strategy using electric vehicles based on individual differential evolution quantum particle swarm optimization algorithm Open
A wind power curtailment consumption strategy using electric vehicles (EVs) based on individual differential evolution quantum particle swarm optimization algorithm (IDE-QPSO) is proposed, with the objective of reducing the system’s wind c…
View article: Modified Approach of Manufacturer’s Power Curve Based on Improved Bins and K-Means++ Clustering
Modified Approach of Manufacturer’s Power Curve Based on Improved Bins and K-Means++ Clustering Open
The ideal wind turbine power curve provided by the manufacturer cannot monitor the practical performance of wind turbines accurately in the engineering stage; in this paper, a modified approach of the wind turbine power curve is proposed b…
View article: Discrete-Time Adaptive Decentralized Control for Interconnected Multi-Machine Power Systems with Input Quantization
Discrete-Time Adaptive Decentralized Control for Interconnected Multi-Machine Power Systems with Input Quantization Open
This study contrives a discrete-time adaptive decentralized control algorithm with input quantization for interconnected multi-machine power systems with SVC. First, a dynamic surface scheme is applied to the excitation controller design, …
View article: Research on the optimal allocation method of source and storage capacity of integrated energy system considering integrated demand response
Research on the optimal allocation method of source and storage capacity of integrated energy system considering integrated demand response Open
View article: Compressed-DMD for Electromechanical Mode Estimation from High-Dimensional Ambient Data
Compressed-DMD for Electromechanical Mode Estimation from High-Dimensional Ambient Data Open
Accurate and rapid estimation of electromechanical mode plays an important role in sensing the security situation of power systems. In this paper, the Compressed Dynamic Mode Decompensation (Compressed-DMD) based estimation approach was pr…
View article: Parameter Identification of Electromechanical Oscillation Mode in Power Systems Driven by Data: A Quasi-Real-Time Method Based on Randomized-DMD-Multilayer Artificial Neural Networks
Parameter Identification of Electromechanical Oscillation Mode in Power Systems Driven by Data: A Quasi-Real-Time Method Based on Randomized-DMD-Multilayer Artificial Neural Networks Open
With the increase in the power system scale, the identification of electromechanical oscillation mode parameters by traditional numerical methods can no longer meet the requirements of complete real-time analysis. Therefore, a method based…
View article: Power‐frequency oscillation suppression algorithm for AC microgrid with multiple virtual synchronous generators based on fuzzy inference system
Power‐frequency oscillation suppression algorithm for AC microgrid with multiple virtual synchronous generators based on fuzzy inference system Open
In the microgrid, virtual synchronous generator technology can significantly enhance the anti‐interference characteristics of the system frequency and bus voltage, as well as solve the problems of insufficient damping and low inertia. Howe…
View article: Online Inertia Estimation Using Electromechanical Oscillation Modal Extracted from Synchronized Ambient Data
Online Inertia Estimation Using Electromechanical Oscillation Modal Extracted from Synchronized Ambient Data Open
An ambient modal framework for inertia estimation using synchrophasor data is proposed in this letter. Specifically, an analytical formulation is developed for the estimation of inertia based on the frequency and damping ratio modes extrac…
View article: Wind Speed Reinforcement Correction Method for Numerical Weather Prediction Based on Rdpg Algorithm Considering Lateral and Longitudinal Error
Wind Speed Reinforcement Correction Method for Numerical Weather Prediction Based on Rdpg Algorithm Considering Lateral and Longitudinal Error Open
View article: Multinodes Interval Electric Vehicle Charging Load Forecasting Based on Joint Adversarial Generation
Multinodes Interval Electric Vehicle Charging Load Forecasting Based on Joint Adversarial Generation Open
View article: An adaptative control strategy for interfacing converter of hybrid microgrid based on improved virtual synchronous generator
An adaptative control strategy for interfacing converter of hybrid microgrid based on improved virtual synchronous generator Open
Inertial support for hybrid AC/DC microgrid systems is provided by the virtual synchronous generator (VSG). However, the fast performance of the system is neglected while enhancing the stability of the system. To address this problem, an a…
View article: An integrated control algorithm of power distribution for islanded microgrid based on improved virtual synchronous generator
An integrated control algorithm of power distribution for islanded microgrid based on improved virtual synchronous generator Open
Virtual synchronous generator technology can effectively improve the anti‐interference characteristics of the system frequency and bus voltage in the microgrid, and solve the problems of insufficient damping and low inertia of the system. …
View article: Synchronised ambient data‐driven electromechanical oscillation modes extraction for interconnected power systems using the output‐only observer/Kalman filter identification method
Synchronised ambient data‐driven electromechanical oscillation modes extraction for interconnected power systems using the output‐only observer/Kalman filter identification method Open
Ambient‐based oscillation modes extraction is an effective means of monitoring the small signal stability of a power system on‐line. In this study, a data‐driven approach based on output‐only observer/Kalman filter identification (O 3 KID)…
View article: Dispatching of a Wind Farm Incorporated With Dual-Battery Energy Storage System Using Model Predictive Control
Dispatching of a Wind Farm Incorporated With Dual-Battery Energy Storage System Using Model Predictive Control Open
The battery energy storage system (BESS) integrated with a wind farm is an efficient way to smooth wind power fluctuations and improve wind farm dispatchability. The presented study proposed a model predictive control (MPC)-based power dis…
View article: Optimal Mode Decomposition-Based Analysis of Electromechanical Oscillations of Power Systems Using Synchrophasors
Optimal Mode Decomposition-Based Analysis of Electromechanical Oscillations of Power Systems Using Synchrophasors Open
Synchrophasor-based electromechanical modes extraction offers essential information for monitoring the small-signal stability of power systems without models. This article proposes an optimal mode decomposition (OMD) method for extracting …
View article: Phase-Locked Strategy of Photovoltaic Connected to Distribution Network With High Proportion Electric Arc Furnace
Phase-Locked Strategy of Photovoltaic Connected to Distribution Network With High Proportion Electric Arc Furnace Open
With the rapid development of industrialization, the proportion of electric arc furnaces (EAF) in distribution networks is getting higher and higher. Aiming at the problem that grid voltage is distorted by a large number of arc furnace non…
View article: Ambient-Data-Driven Modal-Identification-Based Approach to Estimate the Inertia of an Interconnected Power System
Ambient-Data-Driven Modal-Identification-Based Approach to Estimate the Inertia of an Interconnected Power System Open
A novel approach for estimating the inertia of an interconnected power system is presented using the identification of interarea oscillation modes (frequency, damping and mode shape) extracted from ambient data. The proposed method concent…
View article: Incorporating Load Fluctuation in Feature Importance Profile Clustering for Day-Ahead Aggregated Residential Load Forecasting
Incorporating Load Fluctuation in Feature Importance Profile Clustering for Day-Ahead Aggregated Residential Load Forecasting Open
Residents clustering in different periods of load fluctuation and aggregated forecasting can increase the load prediction accuracy. But the strength of load fluctuation reflects the difference in the electricity consumption behavior of res…
View article: The Hierarchical Control Algorithm for DC Microgrid Based on the Improved Droop Control of Fuzzy Logic
The Hierarchical Control Algorithm for DC Microgrid Based on the Improved Droop Control of Fuzzy Logic Open
In the direct current (DC) microgrid composed of multiple distributed generations, due to the different distances between various converters and the DC bus in the system, the difference of the line resistance will reduce the current sharin…
View article: Research on the Operation Control Strategy of a Low-Voltage Direct Current Microgrid Based on a Disturbance Observer and Neural Network Adaptive Control Algorithm
Research on the Operation Control Strategy of a Low-Voltage Direct Current Microgrid Based on a Disturbance Observer and Neural Network Adaptive Control Algorithm Open
Low-voltage direct current (DC) microgrid based on distributed generation (DG), the problems of load mutation affecting the DC bus under island mode, and the security problems that may arise when the DC microgrid is switched from island mo…