A5041809349- Energy Load and Power Forecasting
- Power Systems and Renewable Energy
- Power System Optimization and Stability
- Electric Power System Optimization
- Smart Grid Energy Management
- Optimal Power Flow Distribution
- High-Voltage Power Transmission Systems
- Power System Reliability and Maintenance
- Integrated Energy Systems Optimization
- Microgrid Control and Optimization
- Smart Grid and Power Systems
- Regional Development and Environment
- Hydrology and Watershed Management Studies
- Smart Grid Security and Resilience
- Global Energy Security and Policy
- Advanced Computational Techniques and Applications
- Solar Radiation and Photovoltaics
- Hydrological Forecasting Using AI
- Magnetic Bearings and Levitation Dynamics
- Hybrid Renewable Energy Systems
- Power Systems and Technologies
- Metallurgy and Material Forming
- Educational Reforms and Innovations
- Flood Risk Assessment and Management
- Geoscience and Mining Technology
Dalian University of Technology
2024
Zhengzhou University
2024
Hohai University
2024
Northeast Electric Power University
2024
Central Queensland University
2024
Aalborg University
2024
University of Technology Sydney
2024
Arizona State University
2024
China Southern Power Grid (China)
2022-2024
This paper proposes a runoff-based hydroelectricity prediction method based on meteorological similar days and XGBoost model. Accurately predicting the supply demand is critical for conserving resources, ensuring power supply, mitigating impact of natural disasters. To achieve this, historical runoff data are analyzed to select that current data, forming day dataset. The model then trained used predict dataset obtain results. evaluate proposed method, cluster in Yunnan, China, as sample...
Abstract Amidst the ongoing evolution and substantial reforms within electric power market, development of an auxiliary service pricing model grounded in game theory emerges as crucial. This study delineates construction electricity model, utilizing a dual mechanism approach: cooperative game-based price formation Stackelberg time-sharing mechanism. Furthermore, it incorporates demand response technology to conduct detailed analysis optimization results applicability proposed model. The...
In order to consider the impact of source-load uncertainty on traditional power system planning methods, a medium- and long-term optimization method based modeling time-series production simulation is proposed. First, new energy output probability model developed using non-parametric kernel density estimation, spatial correlation described pair-copula theory analysis output. Secondly, large number scenarios are generated Markov chain Monte Carlo method, optimal selection for discrete state...
The grid-connected of the energy storage system (ESS) makes optimization distribution network not only limited to unilateral reactive power optimization, but can be controlled and optimized by active power-reactive coordination with better effect. In this paper, distributed photovoltaic (DPV), switching capacity parallel capacitor banks, charging discharging ESS are used as control variables, minimum voltage deviation loss utilizes comprehensive indicators design objective function. By...
Abstract The traditional microgrid electric energy system exhibits low damping and inertia, making it susceptible to load fluctuations that can significantly impact the system. A new study suggests a way control virtual synchronous generator (VSG) using adaptive regulation of rotational inertia. This lowers frequency steady-state offset VSG system’s output by non-differential method. excitation regulator regulates voltage deviation. Meanwhile, we establish small-signal model grid-connected...
In order to accurately analyze the load supply capability of power systems with high penetration renewable energy generation, this paper proposes a probabilistic available (ALSC) forecasting method. Firstly, optimal input features are selected by calculating maximal information coefficient (MIC) between and target output. Based on this, stacking ensemble learning model is applied for prediction wind power, photovoltaic power. Secondly, distributions objects obtained based errors error...
One of the most critical tasks China’s power sector reformation is re-designing transmission and distribution (T&D) prices, which are essential in establishing fair ordered markets encouraging efficient allocation resources. In view problems market, such as lack a market mechanism for reasonable congestion revenue, unreasonable cost composition, failure pricing to reflect utilization degree resources by users different geographical locations, this study proposes price design under...
With the massive access of renewable energy, frequency characteristics system have changed greatly. In power where proportion energy is high, evaluation index obtained will no longer be applicable. Therefore, this paper proposed strength suitable for high system. Firstly, and unified transfer function structure (UTFS) model are established. Secondly, error caused by using to evaluate in different scenarios analyzed. Furthermore, used based on index, steps given. Finally, effectiveness...
The substitution of large-scale renewable energy for traditional synchronous generators reduces the frequency strength power system and increases risk instability. Currently, online evaluation monitoring stability margin are great significance to safe stable operation system. Therefore, this paper proposes an method suitable actual provincial asynchronous grid. includes three parts: data acquisition preprocessing, modulation model simplification evaluation. Firstly, based on control system,...
The construction of new power system with energy as the principal part is being promoted, which poses challenges to safety, economy, and stability system. It requires more regulatory resources stronger capabilities. Based on integrated grid operation smart (OS2) China Southern Power Grid, a deployment architecture for source-grid-load-storage collaborative control proposed. In this architecture, platform deployed in Zone III, can expand functions OS2 through data model interaction, realize...
With the advancement of "carbon peaking and carbon neutrality goals", proportion clean energy such as hydropower has gradually increased. Under background accelerating construction China's power spot market, consumption through market mechanism is an important direction for development current market. There are many challenges in design operation participating electricity with strong seasonality. In this paper, key problem clearing modeling considering constraints vibration area analyzed,...
In our study, we used a deep learning approach, namely U-Net, to enhance the forecasting accuracy of 10-meter wind speed in Yunnan-Kweichow Plateau. We conducted analysis using GEFS for forecast lead time ranging from 1 7 days. To assess effectiveness U-Net model, compared it with two conventional linear statistical techniques: DAM and ULR. The findings revealed that forecasts exhibited inadequate predicting central region plateau. However, they performed well western northern regions. All...
Along with the large-scale new energy grid connection, number of synchronous units starting up has declined, and rotating moment inertia gradually become a scarce resource. Under market clearing method pricing electricity at marginal cost, it is difficult to guarantee recovery resource cost by relying only on compensation mechanism in energy. China's latest power auxiliary service management taken as one varieties, while China currently mainly using secondary FM for design. As service, focus...
Renewable energy sources, including wind farms and solar power plants, are gradually replacing traditional synchronous generators (SGs) as part of the effort to achieve net-zero carbon emissions. However, this transition also leads a reduction in system's inertia, especially significant proportion renewable is integrated into grid. Over time, operators provincial-level grids have faced challenge assessing monitoring inertia levels within system, which crucial for guiding planning new...
In the context of new power system construction, grid will face structural changes. However, safety operation and guarantee demands differ between sending receiving grids due to their different conditions. Therefore, it is important analyze development path ancillary service market under construction for both electricity grids. Firstly, current situation relevant experience domestic foreign are analyzed; then, operational characteristics or analyzed with evoluton objectives system; finally,...
Renewable energy sources exhibit significant variability and uncertainty, showing numerous distinct scenarios. In the context of generation planning, it's imperative to employ scenario reduction techniques select representative scenarios that capture characteristics renewable outputs. However, traditional methods often fail adequately preserve extreme output these renewables. This paper improves simultaneous backward method (SBR), enhancing its capability effectively sources. As a result,...