Article_journal

A Data-driven Acceleration Method for Production Simulation of Power Systems with High-penetration Renewables
IET Renewable Power Generation
Case Study of Vehicle-to-Grid Incentive Design Under Multiple Scenarios: A Policy-Making Perspective
IET Generation, Transmission & Distribution
ABSTRACT The commercialization of vehicle-to-grid (V2G) technology is critically hindered by the absence of a cost-effective and …
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Distributed Control of Single-Phase Residential Energy Storages for Three-Phase Unbalance Mitigation With Consumer Benefit Preservation
IEEE Transactions on Industrial Informatics
The uneven allocation of single-phase residential systems and rooftop photovoltaic systems in low-voltage distribution networks leads …
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Distributed Control of Single-Phase Residential Energy Storages for Three-Phase Unbalance Mitigation With Consumer Benefit Preservation
基于两阶段级联模型的光伏功率群体预测方法
高电压技术
光伏发电系统的不确定性和波动性使得准确预测光伏发电量成为提高系统效率的关键挑战之一。相对于单站点光伏预测，光伏群体预测能够在一定程度上提高整体预测精度，从而有效服务于省级电网电力电量平衡。此外，通过多阶段级联模型的思想将群体预测模型分成2个阶段，能够加快训练的收敛速度。 …
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Capacity credit assessment of regional renewable generation considering multi-time-scale forecast errors
Energy
The temporal variability and forecast uncertainty of renewable energy pose great challenges to supply–demand balance in power systems. …
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Capacity credit assessment of regional renewable generation considering multi-time-scale forecast errors
Policy-Assisted Graph Reinforcement Learning for Real-Time Economic Dispatch
Journal of Modern Power Systems and Clean Energy
An online optimization framework with policy-assisted graph reinforcement learning (PAGRL) is proposed for real-time economic dispatch …
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Real-time estimation of aggregated electric vehicle charging load based on representative meter data
Energy
The uncontrolled integration of numerous electric vehicles (EVs) brings great uncertainty to grid regulation. Real-time monitoring of …
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基于Copula时空相关性模型的新能源容量置信度准时序评估
电力系统自动化
新能源渗透率的提升对电力系统的供电保障能力提出了挑战，如何考虑新能源的多维时空相关性对其容量置信度进行准确量化评估，对新型电力系统的可靠性分析与电源规划有着重要意义。为此，提出基于Copula转移核-连续状态空间马尔可夫链的时间相关性模型和基于D-Vine Copula …
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Data-Driven Dynamic Modeling for Inverter-Based Resources Using Neural Networks
Nature Communications
Dynamic models are a cornerstone of power system stability and control. The growing penetration of inverter-based resources, driven by …
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Data-Driven Dynamic Modeling for Inverter-Based Resources Using Neural Networks
Dynamics Enhanced Quasi-Steady-State Model of LCC-HVDC Systems Based on Neural Network
IEEE Transactions on Power Delivery
Existing time-domain simulation of LCC-HVDC systems faces a trade-off between accuracy and efficiency. The electromagnetic transient …
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