A5090520695- Microgrid Control and Optimization
- Smart Grid Energy Management
- Power Systems and Renewable Energy
- Islanding Detection in Power Systems
- Optimal Power Flow Distribution
- Energy Load and Power Forecasting
- Electric Power System Optimization
- Solar Radiation and Photovoltaics
- Electric Vehicles and Infrastructure
- Machine Fault Diagnosis Techniques
- Photovoltaic System Optimization Techniques
- Power System Optimization and Stability
- Smart Grid Security and Resilience
- Integrated Energy Systems Optimization
- Advanced Battery Technologies Research
- Wind Turbine Control Systems
- Power System Reliability and Maintenance
- Frequency Control in Power Systems
- Multilevel Inverters and Converters
- Hybrid Renewable Energy Systems
- Machine Learning and ELM
- Grey System Theory Applications
- Green IT and Sustainability
- Advanced DC-DC Converters
- Transportation and Mobility Innovations
Guangdong University of Technology
2019-2025
South China University of Technology
2013-2023
Guangxi University of Science and Technology
2023
Brunel University of London
2022-2023
Aalborg University
2023
Technical University of Denmark
2022
China Southern Power Grid (China)
2022
Imperial College London
2015
A microgrid is considered to be a smart power system that can integrate local renewable energy effectively. However, the intermittent nature of causes operating pressure and additional expense in maintaining stable operation by management microgrid. The structure multi-microgrids provides possibility construct flexible various trading framework. In this paper, order reduce adverse effects uncertain output, distributed robust model predictive control (DRMPC)-based strategy proposed for...
In this paper, an islanded medium-voltage (MV) microgrid placed in Dongao Island is presented, which integrates renewable-energy-based distributed generations (DGs), energy storage system (ESS), and local loads. isolated without connection to the main grid support frequency, it more complex control manage. Thus, order maintain frequency stability multiple time scales, a hierarchical strategy proposed. The proposed architecture divides three zones: (A) stable zone, (B) precautionary (C)...
As the penetration of photovoltaic (PV) generation increases, there is a growing operational demand on PV systems to participate in microgrid frequency regulation. It expected that future distribution will consist multiple clusters. However, interconnecting microgrids may lead system interactions and instability. To date, no research work has been done analyze dynamic behavior enhance stability clusters considering dynamics primary sources dc links. fill this gap, paper presents...
The multimicrogrids (MMGs) system of the island group is geographically dispersed with different ownership. In this article, a control strategy based on distributed model predictive proposed to optimize economic scheduling MMGs an group. designed dynamic noncooperative game theory regulate trading behavior among microgrids (MGs) belonging owners. mechanism maximizes benefits MGs under premise ensuring closed-loop stability single MG system. Only minimum amount communication information...
With the decreasing reserves of fossil energy and increasing capacity renewable generation, scale microgrid based on distributed generations is expanding. However, more operation data transaction information microgrids will also bring several problems: sufficient server in central management needed, crises trust among members, transparency confidentiality storage. In this paper, blockchain technology used to deal with these problems as storage technology. A double-layer framework...
Multi-microgrids (MMGs) provide an effective modality to integrate high-penetration renewable energy as well other distributed sources. However, the inherent uncertainties from nature and load demand significantly impact secure operation of MMGs system. Considering these challenges, this paper proposes a novel intraday robust management framework based on dynamic tube model predictive control (DD-TMPC) method for autonomous multi-microgrids, which has less conservativeness more economic...
Accurate load forecasting is essential to the operation and planning of power systems electricity markets. In this paper, an ensemble radial basis function neural networks (RBFNNs) proposed which trained by minimizing localized generalization error for short-term mid-term forecasting. Exogenous features extracted from series (with long memory multi-resolution wavelet transform) in various timescales are used train RBFNNs. Multiple RBFNNs fused as model with high capability using a weighted...
This work presents a novel blockchain-based energy trading mechanism for electric vehicles consisting of day-ahead and real-time markets. In the market, vehicle users submit their bidding price to participate in double auction mechanism. Subsequently, smart match will be conducted by charging system operator, meet both personal interests social benefits. After clearing result, operator uploads contract made market blockchain. checks status submits updated results encourages participants...
With the rapid development of high penetration offshore wind power, it becomes a challenge to achieve effective and economical operation maintenance (O&M) scheduling for turbines. Moreover, uncertain factors such as climate change bring difficulties decision-making complex frequent tasks. To overcome these challenges, this paper proposes practical O&M path planning model farms in Zhanjiang, China. Multi-types constraints costs are taken into account construct optimization problem....
As wind power generation transits from centralized development mode to decentralized on-site consumption mode, microgrid (MG) can provide an efficient solution for integration into the distribution network. However, high-penetration MG is typical weak grid system. The traditional turbine generator (WTG) participates in system frequency regulation through grid-following current source, which relies on phase-locked loop voltage phase synchronization and unable strong support conditions. To...
Multi-microgrids (MMGs) provide an effective solution for further improving the overall economy and ensuring resilience under major disasters, while high penetration level of renewable energy generations inevitably brings adverse oscillation problems to system. So far, no comprehensive study has been carried out assess interaction oscillatory stability autonomous wind-solar hybrid MMGs. Besides, feasible method giving consideration coordinated control simple communication architecture...
With the rapid promotion of photovoltaic (PV) power generation, local consumption distributed PV generation at medium and low voltage levels widely forms PV-based microgrids. The continuous increase in penetration rate uncertain requires it to actively participate frequency regulation weak microgrid systems. Finite control set-model predictive (FCS-MPC) for source converter (VSC) shows remarkable advantages fast dynamic response robustness compared with traditional cascaded linear methods....
In this article, a modified decentralized finite control set model predictive (FCS-MPC) scheme for the distributed energy resources (DERs) is proposed to improve power management quality of prosumers integrated microgrids under condition harmonic and unbalance loads. The strategy mainly consists droop controller, controller delay compensation, feedback correction compensation mechanism. method used correct which effectively reduces average switching frequency (ASF) voltage total distortion...
Ground faults can be caused by the abnormal grounding of several different modules in electrical traction drive system, leading to vulnerable train operation. Therefore, rapid and accurate diagnosis ground is great significance improve safety reliability electric locomotives multiple units. This article proposes a mechanism data hybrid-driven method diagnose faults. First, according fault analysis, characteristic variables are constructed features extracted using signals selected from...