A5020551506- Microgrid Control and Optimization
- Smart Grid Energy Management
- Distributed Control Multi-Agent Systems
- Energy Load and Power Forecasting
- Optimal Power Flow Distribution
- Neural Networks Stability and Synchronization
- Power System Optimization and Stability
- Electric Vehicles and Infrastructure
- Nonlinear Dynamics and Pattern Formation
- Smart Grid Security and Resilience
- Power Systems and Renewable Energy
- Photovoltaic System Optimization Techniques
- Solar Radiation and Photovoltaics
- Electric Power System Optimization
- Gas Sensing Nanomaterials and Sensors
- Model Reduction and Neural Networks
- Advanced Battery Technologies Research
- Molecular Junctions and Nanostructures
- Advanced Photocatalysis Techniques
- Islanding Detection in Power Systems
- Composite Structure Analysis and Optimization
- Advanced ceramic materials synthesis
- Real-time simulation and control systems
- Guidance and Control Systems
- Topology Optimization in Engineering
University of Science and Technology of China
2022-2025
Binghamton University
2016-2025
Wuhan University
2024-2025
Beijing University of Chemical Technology
2022-2024
East China University of Science and Technology
2024
Zhejiang Normal University
2024
Suzhou Institute of Nano-tech and Nano-bionics
2022-2023
Chinese Academy of Sciences
2022-2023
Ocean University of China
2020-2023
State Key Laboratory of Pollution Control and Resource Reuse
2022-2023
In a smart grid, effective distributed control algorithms could be embedded in controllers to properly allocate electrical power among connected buses autonomously. By selecting the incremental cost of each generation unit as consensus variable, (ICC) algorithm is able solve conventional centralized economic dispatch problem manner. The mathematical formulation has been presented this paper. results several case studies have also show that difference between network topologies will influence...
In this paper, we introduce the incremental welfare consensus algorithm for solving energy management problem in a smart grid environment populated with distributed generators and responsive demands. The proposed is cooperative such that it eliminates need central energy-management unit, price coordinator, or leader. optimum solution found through local peer-to-peer communications among devices. Each generation unit connected to regulator, as each consumer unit. response of by regulators,...
Electric load forecasting plays a vital role in smart grids. Short term electric forecasts the that is several hours to weeks ahead. Due nonlinear, non-stationary and nonseasonal nature of short time series small scale power systems, accurate challenging. This paper explores Long-Short-Term-Memory (LSTM) based Recurrent Neural Network (RNN) deal with this challenge. LSTM-based RNN able exploit long dependencies for more forecasting. Experiments are conducted demonstrate capable accurately...
Given its physical characteristics and the range of services that it can provide, energy storage raises unique modeling challenges. This paper summarizes capabilities operational, planning, resource-adequacy models include should have surveys gaps in extant models. Existing represent differ fidelity representing balance power system energy-storage applications. Modeling results are sensitive to these differences. The importance capturing chronology raise challenges modeling. Some 'decouple'...
In a smart grid, effective distributed control algorithms could be embedded in controllers to properly allocate electrical power among connected buses autonomously. By selecting the incremental cost of each generation unit as consensus variable, Incremental Cost Consensus (ICC) algorithm can solve economic dispatch problem manner instead using conventional centralized approaches. this paper, we further decrease requirement communication network by an average acquire system mismatch...
This paper demonstrates that polarization plays an important role in the formation of interference patterns, pattern contrasts, and periods four-beam lithography. Three different modes are presented to study effects on laser based theoretical analysis, simulations, experiments. A system was set up modify silicon surface. It found secondary periodicity or modulation result misaligned unequal incident angles only case TE-TE-TM-TM mode. The resulting patterns have shown a good correspondence...
Accurate forecasting of solar photovoltaic (PV) power for the next day plays an important role in unit commitment, economic dispatch, and storage system management. However, PV high temporal resolution such as five-minute is challenging because most models can only achieve same their predictors(i.e., weather variables), whose usually low (i.e., hourly). To address this challenge, similarity-based (SBFMs) are advocated paper to forecast using variables. effectively generalize model different...
The morphing wing with large deformation can benefit its flight performance a lot in different conditions. In this study, variable camber compliant leading and trailing edges is designed by large-displacement mechanisms. mechanisms are carried out hyperelastic structure topology optimization, based on nonlinear meshless method. A laminated leading-edge skin to fit the curvature changing phenomenon of edge during deformation. demonstrator was manufactured testify capability. Comparing other...
Detecting polyps through colonoscopy is an important task in medical image segmentation, which provides significant assistance and reference value for clinical surgery. However, accurate segmentation of a challenging due to two main reasons. Firstly, exhibit various shapes colors. Secondly, the boundaries between their normal surroundings are often unclear. Additionally, differences different datasets lead limited generalization capabilities existing methods. To address these issues, we...
With the increasing penetration of solar photovoltaic (PV) generation in power system, reliability distribution system and efficiency PV systems have garnered attention recent years. Forecasting output is one way to decrease uncertainty such systems. In this study, we present a K-Nearest Neighbors algorithm based forecasting model, which can provide estimated by utilizing numerical weather irradiance prediction data. This model also includes condition classification process physical units....
This paper discusses a simulation-based generator-level stability index and demonstrates the use of to quantify impact different load scenarios, transmission line reactances, generator parameters on transient stability. A basin concept that is based recent works in physics community complex systems power used, which estimates regions attraction through time-domain simulation. The quantitative results generated by can provide general ranking metric reflect or group generators likely become...
In order to understand the impact of individual communities on global sustainability, we need a community sustainability assessment system (CSAS). While many systems exist, they prove inadequate task. This article presents results systematic review literature existing systems; offers definition sustainable community; provides multi-scale, approach thinking about and makes recommendations from field performance measurement for construction CSAS.