- Power System Reliability and Maintenance
- HVDC Systems and Fault Protection
- Optimal Power Flow Distribution
- Power System Optimization and Stability
- Vibration Control and Rheological Fluids
- Probabilistic and Robust Engineering Design
- Seismic Performance and Analysis
- Structural Engineering and Vibration Analysis
- High-Voltage Power Transmission Systems
- Energy Load and Power Forecasting
- Microgrid Control and Optimization
- Electric Power System Optimization
- Integrated Energy Systems Optimization
- Evaluation Methods in Various Fields
- Wind Energy Research and Development
- Thermal Analysis in Power Transmission
- Advanced Decision-Making Techniques
- Hybrid Renewable Energy Systems
- Power Systems and Renewable Energy
- Smart Grid Energy Management
- Wind Turbine Control Systems
- Power Systems Fault Detection
- Mobile Crowdsensing and Crowdsourcing
- Iterative Learning Control Systems
- Supply Chain and Inventory Management
China Southern Power Grid (China)
2018-2025
Harbin Institute of Technology
2005-2024
Chongqing University
2016-2024
China Mobile (China)
2024
Shijiazhuang Tiedao University
2021-2023
Nanchang University
2015
Nanchang Hangkong University
2014
A new, unscented transformation (UT) based probabilistic power flow method for Alternate Current/Voltage Source Control-Multiple Terminal Direct Current hybrid grids is presented herein. The able to accurately tackle various random variables, including renewable energy sources with uncertainties such as wind speeds and solar radiations, which are rank correlated likely follow different types of probability distributions. concept Gaussian copula adopted transform the variables into a group...
Some innovative works have been done to probabilistic power flow (PPF) analysis for hybrid HVAC and LCC-VSC HVDC system in this paper. Firstly, a unified method considering precise model of converters is proposed solve general deterministic (DPF) calculation including LCC (Line Current Converter) VSC (Voltage Source Converter), the pure VSC-MTDC Converter-Multiple Terminal Direct Current) system. Meanwhile, with large amount renewable energy sources integrated main grid through DC grids, it...
Probabilistic power flow (PPF) is the fundamental to reveal influence of stochastic sources on AC-DC hybrid grids. In operational PPF analysis, accurate probability density functions (PDFs) responses must be obtained in a very short period, which quite challenging for existing methods. this paper, fractional moments based adaptive scaled unscented transformation (ASUT) proposed overcome challenge. The ASUT creates new path fully catch information, adaptively selects sample point sets from...
The modular multilevel converter based high voltage direct current (MMC-HVDC) is a dynamic power balancing system. control system of MMC generally adopts dual closed-loop vector strategy on the traditional instantaneous model under asymmetric grid state, which has complex structure and low accuracy. This paper introduces flexible establishes general equation with active new reactive as objects. Based this, an improved sliding-mode MMC-HVDC proposed combines method to eliminate twice...
In a Magnetically Coupled Resonant Wireless Power Transfer (MCR-WPT) system, the magnetic coupling coil is one of key factors that determines system’s output power, transmission efficiency, anti-offset capability, and so on. This article proposes parameter optimization method for wireless power transfer system based on crowding distance division adaptive genetic operators. Through optimizing design decision variables, such as numbers transmitting receiving turns, spacings between inner radii...
In practical AC/DC hybrid grids, the uncertainty sources such as wind speeds and loads are massive bounded intrinsically, latter feature of which is neglected in most probabilistic power flow (PPF) analyses unfortunately. this paper, a scaled unscented transformation (SUT)-based PPF on large particular for addressing boundary issue these high-dimensional random input variables under Pearson correlation, proposed investigated. The empirical formula used determining scaling parameter SUT...
In the field of dynamics and control, some typical vibration devices, including grounded stiffness, inerter amplifying mechanism, have good isolation reduction effects, especially in dynamic absorber (DVA). However, most current research studies only focus on performance a single device system, those DVAs are gradually becoming difficult to meet growth demand for control. On basis Voigt absorber, novel model based combined structure inerter, mechanism is presented, analytical solution...
To explore the advantages in flexibility of ternary pumped storage units (T-PSUs) compared with fixed-speed (FS-PSUs) and variable-speed (VS-PSUs) day-ahead optimal scheduling power systems, this paper firstly establishes mathematical model T-PSUs which is suitable for target application, a new hybrid combining both FS-PSUs purpose improving existing FS-PSUs. Secondly, used wind-thermal-pumped bundled transmission system goal obtaining lowest operating cost established. Additionally, various...
The inerter-based dynamic vibration absorber (DVA) is a promising technique for control. In most studies, the inerter usually mounted in same direction as that of motion, which may not adequately reflect suppression capability and two-terminal inertial feature inerter, even weakens performance absorbers. Considering potentiality improving control by unconventional mounting methods, rarely studied structure geometrically nonlinear inerters introduced into system. This novel presented to...
Abstract The oil chromatography online monitoring system can monitor the insulation status of power transformers continuously and real‐time. accuracy its detection data directly affects stable operation transformers. Aiming at problem abnormal in current transformer set, this paper proposes an chromatographic processing method based on association rules support vector regression (SVR) analysis. First, using piecewise linearization to convert numerical variables into Boolean variables, then...
With the interconnection of asynchronous ac grids through a voltage source converter-based multiterminal direct current (AGs/VSC-MTDC) system and large-scale integration renewable energy, it is important to resolve power flow calculation problems efficiently robustly for secure economic operation such under stochastic context. Therefore, an improved sequential algorithm deterministic (DPF) AGs/VSC-MTDC proposed first. This enhances conventional manner updating losses VSCs, which leads...
It is the direction of future development electricity market to assess power quality and determine tariff in accordance with quality. This paper established attribute recognition theoretical model, determined weight each evaluation index based on Analytic Hierarchy Process (AHP) algorithm, proposed comprehensive assessment theory AHP algorithm. Even considering various impact factors steady state transient state, this algorithm able avoid subjectivity affecting results for weight, ensuring...
Hybrid AC/DC microgrid is consist of AC subsystem, DC subsystem and an interlinking converter (ILC) used for connecting the subsystems. Flexible integration coordination different distributed generations (DGs) essential to meet increasing demand electricity. The impacts frequency voltage offset caused by load fluctuation have not been considered in existing control strategies autonomous microgrid, such as droop control, master-slave average current-sharing control. To address this issue,...
Due to highly correlated uncertainties of wind, solar radiation and power demand, it is imperative that probabilistic flow (PPF) a reliable option handle the corresponding issues hybrid AC/DC microgrid (MG) in islanding operation mode. A Nataf transformation based unscented (UT) employed conduct PPF analysis for an autonomous MG this paper. The method able deal with various random variables, including wind speed, loads, which both symmetric asymmetric distributions can be used model their...
This paper proposes a new probabilistic power flow method for the hybrid AC/VSC-MTDC (Voltage Source Control-Multiple Terminal Direct Current) grids, which is based on combination of ninth-order polynomial normal transformation (NPNT) and inherited Latin hypercube sampling (ILHS) techniques. NPNT utilized to directly handle historical records uncertain sources build accurate probability model random inputs, ILHS adopted propagate randomness from inputs target outputs. Regardless whether...
Probabilistic power flow (PPF) approach based on unscented transformation (UT) method, which is particular for a variety of interdependent uncertainty sources associated with AC/DC hybrid grid, presented herein. The applied traditional UT method inherent capability to tackle correlated random variables, however, the accuracy poor in case asymmetric distributions. In order address this issue, correlation matrix adopted accordingly transform linear variables following arbitrary distributions...