- Optimal Power Flow Distribution
- Integrated Energy Systems Optimization
- Electric Power System Optimization
- Smart Grid Energy Management
- Microgrid Control and Optimization
- Energetic Materials and Combustion
- Thermal and Kinetic Analysis
- Smart Grid and Power Systems
- Power System Optimization and Stability
- Power Systems and Renewable Energy
- Power System Reliability and Maintenance
- HVDC Systems and Fault Protection
- High-Voltage Power Transmission Systems
- Energy Load and Power Forecasting
- Power Systems and Technologies
- Crystallization and Solubility Studies
- Thermal Analysis in Power Transmission
- Hybrid Renewable Energy Systems
- Rocket and propulsion systems research
- Electric Vehicles and Infrastructure
- X-ray Diffraction in Crystallography
- Advanced Sensor Technologies Research
- Power Transformer Diagnostics and Insulation
- Asymmetric Hydrogenation and Catalysis
- Chemical Thermodynamics and Molecular Structure
Northeast Electric Power University
2016-2025
Nanjing University of Science and Technology
2014-2025
North China Electric Power University
2009-2024
Electric Power University
2022-2024
Shanghai Jiao Tong University
2012
Sinochem Group (China)
2012
State Administration of Foreign Experts Affairs
2011
Shaanxi Research Association for Women and Family
2006
Nanjing Tech University
2005
Power-to-gas (P2G) technology is an effective way to provide additional flexibility electricity systems with high penetration of renewable energy. Effective P2G bidding strategies in markets can bring arbitrage opportunities. This article proposes a coordinated strategy for wind farms and facilities using cooperative game approach. A coordination framework optimizing the profit presented, which power participates day-ahead, real-time reserve markets, participate day-ahead arbitrage. Wind...
Green energy is driving the evolutions of industry and carbon emission becoming an important concern. Considering increasing couplings among various sectors, this paper investigates multi-period optimal flow pricing in carbon-emission embedded integrated systems, including electricity, natural gas, district heating networks. Firstly, scheduling model systems was proposed paper. The models DC power flow, gas pipeline network are presented linearized for optimization problem. Natural gas-fired...
Active distribution networks (ADNs) with distributed generators (DGs) can provide flexibility for the upstream grid by participating in energy and markets. In this paper, a novel market-clearing model is proposed to facilitate transactions through coordinating providers both transmission networks. The problem formulated as bi-level optimization model. upper-level models transmission-level joint market clearings while lower-level represents distribution-level ADN clearings. model, locational...
With the construction of new-type power system under "double carbon" target and increasing diversification energy demand user side, short-term load forecasting is facing new challenges. In order to fully exploit massive information contained in big data, this paper proposed a method for considering multiple factors, which based on Graph Convolutional Network (GCN) Long Short-Term Memory network (LSTM). Spearman rank correlation coefficient was used analyze between meteorological quantitative...
The integration of large-scale wind power brings challenges to the operation integrated energy systems (IES). In this paper, a day-ahead scheduling model for IES with and multi-type storage is proposed in scenario-based stochastic programming framework. structure consists electricity, natural gas, heating networks which are all included model. Operational constraints incorporating devices also considered. electricity network, gas network formulated, nonlinear linearized. calculation method...
With the development of demand-side management in smart grid, load-serving entity (LSE) plays a more important role for consumers, which purchases energy from electricity market and sells it to consumers. Moreover, aggregated thermostatically controlled loads (TCLs) buildings can provide additional demand response capacities require efficient methods. This article proposes stochastic optimal pricing model LSE with TCLs storage based on Stackelberg game programming. The problem are formulated...
Distribution-level electricity market provides a platform for trading energy and grid services from large-amount of small-scale distributed resources (DERs) located on distribution grids. The behavior the DERs in may ultimately impact market-clearing locational marginal prices (LMPs) wholesale market. This paper proposes bi-level optimization model clearing pricing (DLMP) considering interactions between transmission markets. In proposed model, upper-level represents system operator (DSO)...
This study proposes a distributed load restoration method to effectively model and solve the problem of integrated power distribution natural gas systems (IDGSs) after faults for resilient operation. The IDGS is devised as mixed-integer second-order cone programming (MISOCP) minimize total loss cost IDGS. considers network reconfiguration coupling effect between system (PDS) (NGS). Moreover, bidirectional flow used offer more flexibility when NGS faulty. By considering independent management...
The combination of the hydrothermal method with in situ synthesis has been successfully employed to prepare a family tetrazole-based energetic metal-organic frameworks (EMOFs) ([Ag(Mtta)]n, 1; [Cd5(Mtta)9]n, 2; [Pb3(bta)2(O)2(H2O)]n, 3; and [Pb(tztr)2(H2O)]n, 4) through [2 + 3] cycloaddition azide anions nitrile groups. All synthesized EMOFs were characterized by single crystal X-ray diffraction, IR spectroscopy, elemental analysis (EA), different scanning calorimetry (DSC), thermogravimetry...
The requirements for high energy and green primary explosives are more stringent because of the rising demand in application micro initiation explosive devices. Four new energetic compounds with powerful ability reported their performances experimentally proven as designed, including non-perovskites ([H2 DABCO](H4 IO6 )2 ·2H2 O, named TDPI-0) perovskitoid materials (PEMs) DABCO][M(IO4 )3 ]; DABCO=1,4-Diazabicyclo[2.2.2]octane, M=Na+ , K+ NH4+ TDPI-1, -2, -4, respectively). tolerance factor...