Conference

Photovoltaic Cluster Forecasting Based on Spatial Correlation-Informed Deep Learning
Due to the uncertainty and volatility of photovoltaic (PV) power generation systems, accurately forecasting the PV power output has …
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Photovoltaic Cluster Forecasting Based on Spatial Correlation-Informed Deep Learning
Energy Storage Configuration Method of Sending End Grid considering Frequency Deviation Limit
As a large proportion of new energy is connected to the power grid, the impact of its intermittency and volatility on the safe and …
Energy Storage Configuration Method of Sending End Grid considering Frequency Deviation Limit
Frequency Emergency Control Strategy using Energy Storage based on Model Predictive Control
Energy storage has the potential to take part in the frequency regulation in the power grid because of its flexible control function, …
Frequency Emergency Control Strategy using Energy Storage based on Model Predictive Control
D-Vine Copula Based Spatial Correlation Characterization for Capacity Credit Assessment of Wind and PV Power
As the share of renewable energy in the power system increases, the risk of inadequate load supply also rises. Therefore, the concept …
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D-Vine Copula Based Spatial Correlation Characterization for Capacity Credit Assessment of Wind and PV Power
Automatic Generation Control Strategy with Aggregated Generation Units Based on Mesh Adaptive Multi-Objective Optimization Algorithm
To enable renewable energy sources (RES) to better and more efficiently assist traditional generators in attending the automatic …
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Automatic Generation Control Strategy with Aggregated Generation Units Based on Mesh Adaptive Multi-Objective Optimization Algorithm
Continuous Fault Ride-Through Control of Wind Turbine Using Energy Storage Based DVR
Continuous fault ride-through (CFRT) of wind turbines (WTs) requires WTs to go through continuously from a low voltage stage to a high …
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Continuous Fault Ride-Through Control of Wind Turbine Using Energy Storage Based DVR
Multi-Time-Scale Shapelet Based Feature Extraction for Non-Intrusive Load Monitoring
The performance of non-intrusive load monitoring (NILM) system is closely related to the uniqueness and comprehensiveness of the load …
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Multi-Time-Scale Shapelet Based Feature Extraction for Non-Intrusive Load Monitoring
Coordinated Charging of Electric Vehicle Group Using Smart Meters
In the context of the energy crisis and global warming, electric vehicles (EVs) development has emerged as a significant initiative for …
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Coordinated Charging of Electric Vehicle Group Using Smart Meters
Probabilistic Forecasting of Electric Vehicle Charging Load Using Composite Quantile Regression LSTM
With the explosive development of electric vehicles (EVs), the impact on the operation and planning of low voltage distribution network …
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Probabilistic Forecasting of Electric Vehicle Charging Load Using Composite Quantile Regression LSTM
基于储能的风电机组故障电压穿越自适应协调控制
With the wide application of distributed generation and electric vehicles, energy storage (ES) technology has been further developed on …
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基于储能的风电机组故障电压穿越自适应协调控制