- Smart Grid Energy Management
- Integrated Energy Systems Optimization
- Power Systems and Renewable Energy
- Microgrid Control and Optimization
- Electric Power System Optimization
- Energy Load and Power Forecasting
- Electric Vehicles and Infrastructure
- Power Systems and Technologies
- Energy Harvesting in Wireless Networks
- Smart Grid and Power Systems
- Building Energy and Comfort Optimization
- Advanced Decision-Making Techniques
- Innovative Energy Harvesting Technologies
- HVDC Systems and Fault Protection
- Islanding Detection in Power Systems
- Hybrid Renewable Energy Systems
- High-Voltage Power Transmission Systems
- Computational Physics and Python Applications
- Advanced Sensor and Energy Harvesting Materials
- Photovoltaic System Optimization Techniques
- Wireless Power Transfer Systems
- Evaluation and Optimization Models
- Spacecraft Dynamics and Control
- Elevator Systems and Control
- Machine Learning and ELM
China Southern Power Grid (China)
2023-2024
Shanghai Micro Satellite Engineering Center
2020-2024
North China Electric Power University
2011-2023
Shanghai Electric (China)
2019-2022
Nanogrid (NG) cluster (NGC) has the potential to act as one type of basic structure for future low voltage distribution networks. In this paper, an online energy sharing method is proposed improving self-sufficiency and photovoltaic (PV) consumption NGC. First, a hybrid cyber-physical peer-to-peer (P2P) framework proposed, which combination P2P physical system (i.e., NG-to-NG) client-server cyber NG controllers-central controller). Moreover, strategy with classification exporting importing...
As an important component of the smart grid on user side, a home energy management system is core optimal operation for home. In this paper, scheduling problem household equipped with photovoltaic devices was investigated. An online algorithm based event triggering proposed. The Lyapunov optimization method adopted to schedule controllable load in household. Without forecasting related variables, real-time decisions were made only current information. Energy could be rapidly regulated under...
Abstract In this work, an oscillating float-type piezoelectric-triboelectric-electromagnetic hybrid wave energy harvester (PTE-HEH) used in fish-attracting lamp is proposed. It integrates three power generation methods and makes reasonable use of space, the can complement each other. The theoretical analysis, simulation experimental test PTE-HEH are carried out. variation trend optimal parameters unit found analysis simulation. experiment, when cantilever beam clamping length 10 mm,...
China has developed a preliminary policy system for the development of new energy vehicles regarding law, electricity price, grid-connected standards, project management, and financial support, however, defects remain in market environment, mechanism, control technology, infrastructure, etc. We analyze based on analysis basic data such as number electric charging facilities, focusing industrial strategies, related subsidies, tax policies. First, this paper summarizes status China’s different...
Abstract Wave energy is a widespread clean source, but harvesting low-frequency wave efficiently remains challenge. In this paper, frequency-increasing piezoelectric harvester (FPWEH) based on gear mechanism and magnetic rotor proposed. The transforms the vertical motion of into higher-frequency rotational rotor. equipped with several rotating magnets one revolution enables multiple excitations cantilevers. Therefore, excitation frequency increased, so that FPWEH can obtain better output...
Based on the intermittent output and inverse peak regulation characteristics of wind power, a multisource transaction optimization model that considers feasibility combining thermal energy storage, demand response for both power generation consumption is proposed in this paper. First, cost established by considering flexible load participation price- incentive-based responses. Subsequently, with objective minimizing curtailment rate, reduced half gradient membership function selected to...
Integrated Energy System (IES) is far-reaching significance for improving energy utilization efficiency and reducing carbon dioxide emissions. However, due to the lack of consideration construction sequencing, trading development trends uncertainty risks in current IES planning scheme, problems such as mismatch between supply demand, excess emissions weak renewable carrying capacity have emerged. To address these problems, this study proposes a multi-stage time sequence robust model that...
The recently proposed concept virtual synchronous generator (VSG) has been intensively researched. Its core idea is to add a segment in traditional inverter control simulate generator's rotor motion characteristic so that the distributed energy resources (DER) can have inertia. VSG usually contains output current amplitude limiting part avoid too large from damaging inverter, may saturate under big disturbance, which could cause more complicated stability problems. This paper first analyzes...
To improve reliability of micro-grid system without energy storage, a maximum power point tracking (MPPT) algorithm considered spinning reserve capacity was proposed. Using implicit curve fitting method, the set aside 10% PV array's output as distributed generation (DG), and tracked load in real simultaneously. Moreover, to contribution DG required inertia system, photovoltaic virtual synchronous generator (PV-VSG) model designed. The VSG controller presented for its outer-loop, based on...
“World Energy Outlook 2021” has mentioned the fact that with current pledges announced, 2050 net-zero carbon emission target would not be realized. To further improve energy efficiency, integration will important. Therefore, this paper introduced virtual power plant (VPP) and to gas (P2G) technology analyze improvement of integration. Firstly, structure VPP connected P2G is proposed, physical output model constructed. Secondly, combined economic operation objectives, a multi-objective...
A multi-objective optimization model based on real time pricing, controllable load and a heuristic technique is proposed for household micro-grids. The objective of the to reduce electricity bill cost minimize difference between temperature Heating, Ventilation Air Conditioning (HVAC), Electric Water Heater (EWH) their user-defined target temperature. hybrid coding differential evolution algorithm used appliance operation resource management. In model, appliances are classified into three...
In this paper, an online scheduling algorithm based on Lyapunov optimization for smart energy management in household micro-grids is proposed. Household appliances are classified into baseline load and controllable load. The consumption power of Electric Water Heater (EWH), Heating, Ventilation Air Conditioning (HVAC) Pure Vehicle (PEV) set as decision variables. To reduce the electricity bill cost users, allocation strategy PV maximum delay time priorities three introduced. Based...
Motivated by the potential ability of air conditioning (A/C) units in demand response, this paper explores how to utilize A/C increase profit a smart community. A coalitional game between households and load serving entity (LSE) community is studied, where LSE joins selling renewable energy householders providing an saving service them through controller. The controller designed reduce amount electricity purchased from main grid controlling units. An online management algorithm developed,...