A5077659449- Integrated Energy Systems Optimization
- Hybrid Renewable Energy Systems
- Microgrid Control and Optimization
- Building Energy and Comfort Optimization
- Water-Energy-Food Nexus Studies
- Power Systems and Renewable Energy
- Electric Vehicles and Infrastructure
- Optimal Power Flow Distribution
- Smart Grid and Power Systems
- Process Optimization and Integration
- Smart Grid Energy Management
- Probabilistic and Robust Engineering Design
- Cavitation Phenomena in Pumps
- Advanced Battery Technologies Research
- Power System Reliability and Maintenance
- Electric Power System Optimization
- Water resources management and optimization
- Heat Transfer and Optimization
- Smart Grid Security and Resilience
- Microbial Metabolic Engineering and Bioproduction
Southeast University
2022-2025
Heat-electrical integrated energy systems (HE-IES) are gaining popularity due to their high efficiency. However, the stronger couplings between sub-energy system increase risk of cascading faults, limiting wider application HE-IES. To address this issue, paper investigates fault propagation mechanism heating and power using a simulation-based method, specifically focusing on pipe leakage as an example, provides insights for enhancing resilience Firstly, we introduce detailed model that...
The heat-electric-integrated energy system (HE-IES) represents a prominent approach to achieving low-carbon supply, garnering considerable attention from both theoretical and practical perspectives. However, verifying the analysis of HE-IES is challenging due limited availability operational data for heating (HS). This difficulty, in turn, poses challenges monitoring, state estimation, optimized operation. To tackle these issues, this article, we establish an HS platform based on similarity...
Dynamic simulation of heat-electric coupled system (HECS) can accurately describe the operating condition networks and equipment system, where space-time step plays a crucial role in accuracy speed. To optimally determine step, this paper identifies main influencing parameters for elapsed time by distance correlation (DC) analysis establishes prediction model with stepwise regression (SR) method. Meanwhile, quadratic curve fitting (QCF) method is adopted to obtain error model. A optimal...
The existing optimal scheduling of terraced hydropower plants (THPs) only considers several factors such as the runoff conditions and electrovalence fluctuations. Given escalating issue greenhouse gas emissions, certified emission reduction (CER) mechanism has been further developed, which provides additional revenues for renewable energy power projects improves efficiency use. Therefore, it is essential to establish a low-carbon economical operation strategy THPs considering CER. In this...