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Communication-Free Distributed Charging Control for Electric Vehicle Group
Large-scale renewable integration presents an effective way to decarbonize power grids, but carries increased risk of supply shortfalls …
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Communication-Free Distributed Charging Control for Electric Vehicle Group
Optimal Power Sharing in Microgrids Using the Artificial Bee Colony Algorithm
In smart grids, a hybrid renewable energy system that combines multiple renewable energy sources (RESs) with storage and backup systems …
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Optimal Power Sharing in Microgrids Using the Artificial Bee Colony Algorithm
基于合作联盟的电化学储能共享模式研究
随着“双碳”战略的确定，新型电力系统建设已成为“十四五”期间国家重大战略布局的关键环节，而作为灵活性调节资源的储能配套建设将构成电力系统安全稳定运行的重要保障。针对现阶段电源侧储能成本疏导的难点，提出了一种由新能源场站和储能运营商组成的“合作联盟”共享储能方案，储能在满 …
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基于合作联盟的电化学储能共享模式研究
Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach Based on Multi-Task Attribution Map
Transmission interface power flow adjustment is a critical measure to ensure the security and economy operation of power systems. …
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Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach Based on Multi-Task Attribution Map
基于多元特征分析的居民非侵入式相似电器辨识算法
在面向居民的非侵入式负荷辨识场景中，存在部分电路结构、功率相近的相似电器。对于这些电器，现有算法辨识成功率较低。为提高对居民相似电器辨识的准确率，提出了一种基于多元特征分析的非侵入式相似电器辨识算法。该算法使用一对多维的低频电器特征数据进行分析，先将特征规范化，计算两种 …
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基于多元特征分析的居民非侵入式相似电器辨识算法
Degradation diagnosis of lithium-ion batteries considering internal gas evolution
Degradation diagnosis is essential for the safety of lithium-ion batteries. However, there lacks a method to provide detailed …
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Degradation diagnosis of lithium-ion batteries considering internal gas evolution
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
Privacy-preserving demand response of aggregated residential load
The randomness, dispersion, and small capacity of residential load make it difficult to participate in incentive-based demand response. …
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Privacy-preserving demand response of aggregated residential load
Scalable multi-site photovoltaic power forecasting based on stream computing
Photovoltaic (PV) is essential for global carbon neutrality, it is imperative to forecast PV generation accurately for power operation. …
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Scalable multi-site photovoltaic power forecasting based on stream computing
基于物理信息神经网络的同步发电机建模
采用物理机理建立的同步发电机模型在表达发电机真实的非线性特性方面存在不足，电力系统正在不断研究和采纳新的同步发电机模型以增强模型的准确性。数据驱动模型具有更强的非线性表达能力，但在同步发电机建模实际应用中面临着模型泛化性不强和所需数据量大等问题。为克服上述问题，该文结合 …
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基于物理信息神经网络的同步发电机建模