A5075430947- Photovoltaic System Optimization Techniques
- Smart Grid Energy Management
- Solar Thermal and Photovoltaic Systems
- Solar Radiation and Photovoltaics
- Air Traffic Management and Optimization
- Aviation Industry Analysis and Trends
- Microgrid Control and Optimization
- Integrated Energy Systems Optimization
- Transportation Planning and Optimization
- HVDC Systems and Fault Protection
- Vehicle emissions and performance
- Environmental Impact and Sustainability
- Power System Reliability and Maintenance
- solar cell performance optimization
- Electric Power System Optimization
- Hybrid Renewable Energy Systems
- Smart Grid Security and Resilience
- Multilevel Inverters and Converters
- Advancements in Solid Oxide Fuel Cells
- Energy, Environment, Economic Growth
- Railway Systems and Energy Efficiency
- High-Voltage Power Transmission Systems
- Advanced DC-DC Converters
- Vibration and Dynamic Analysis
- Reliability and Maintenance Optimization
Shandong University
2018-2024
North China Electric Power University
2016-2024
Heilongjiang Provincial Hospital
2023
Chongqing Jiaotong University
2023
China Construction Eighth Engineering Division (China)
2023
Northwest A&F University
2023
Shanghai Jiao Tong University
2023
Ruijin Hospital
2023
Second Affiliated Hospital of Nanchang University
2023
Nanchang University
2023
Airlines and Air Navigation Service Providers are united in their goal to reduce fuel consumption. While changes flight operations technology investments the focus of a number studies, our study is among first investigate an untapped source aviation consumption: excess contingency loading. Given downside risk exhaustion diverting alternate airport, airline dispatchers may load onto aircraft. Such conservatism comes at cost consuming fuel, as consumed function of, other factors, aircraft...
This paper empirically investigates the interactions among CO2 emissions, economic growth, and three selected types of fossil energy consumption (coal, gas, oil) using time series data from China over period 1965–2015. Classic econometric analysis technologies including Johansen cointegration test, vector error correction model (VECM), Granger causality test based on VECM are employed to meet our objectives, presence breaks in is also considered. Cointegration result supports existence a...
The current–voltage (I–V) equation in the equivalent circuit model of photovoltaic (PV) module is implicit, and dependence parameters on environmental conditions uncertain, which causes inconvenience output performance prediction. In this paper, a novel method based power-law (PLM) proposed to predict I–V characteristics power PV modules under varying operating conditions. relationship between PLM manufacturer datasheet information established. irradiance temperature dependences shape are...
More and more attention has been paid to the development of renewable energy in world. Microgrids with flexible regulation abilities provide an effective way solve problem connected power grids. In this article, optimization strategy a microgrid participating day-ahead market operations considering demand responses is proposed, where uncertainties distributed generation, electrical load, prices are taken into account. The results show that, when implements response, operation cost decreases...
The parameters identification of the diode model under reference condition are crucial and have significant impact on output characteristics estimation photovoltaic (PV) module varying operating conditions. traditional methods extracting always focused solving parameter optimization problem only some certain condition, which neglects their effect performance other condition. In this paper, a novel method is proposed to identify physical enhance accuracy electrical property for PV modules New...
Efficient and accurate photovoltaic (PV) modeling is significant for ensuring the stable operation of power grid. The nonlinear output characteristics PV modules are usually described by current–voltage (I–V) curves or power–voltage (P–V) curves. Traditional models normally include a diode model an analytical model. process parameter's extraction complex inconvenient because equations non-linear. In traditional methods using neural network, all irradiance training data input into which...
Energy crisis and climate changes have brought great challenges to traditional power generation transmission. Nowadays, the transmission system of VSC-HVDC attracts more attention. The reactive active can be separately controlled, which greatly improves flexibility Moreover, harmonic content this is extremely low. As an important topology HVDC system, modular multilevel converters (MMC) significant advantages. However, there a problem excessive circulating current between phases in MMC,...