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CSEE Journal of Power and Energy Systems 2024年第2期10卷 584-592页

作者： Zhi Ding Tianyao Ji mengshi li Q.H.Wu School of Electric Power Engineering South China University of Technology(SCUT)Guangzhou 510641China

In this paper, a novel signal processing method combining mathematical morphology (MM) and Walsh theory is proposed, which uses Walsh functions to control the structuring element (SE) and MM operators. Based on the Walsh-MM method, a scheme for power quality disturbances detection and classification is developed, which involves three steps: denoising, feature extraction and morphological clustering. First, various evolution rules of Walsh function are used to generate groups of SEs for the multiscale Walsh-ordered morphological operation, so the original signal can be denoised. Next, the fundamental wave of the denoised signal is suppressed by Hadamard matrix;thus, disturbances can be extracted. Finally, the Walsh power spectrum of the waveform extracted in the previous step is calculated, and the parameters of which are taken by morphological clustering to classify the disturbances. Simulation results reveal the proposed scheme can effectively detect and classify disturbances, and the Walsh-MM method is less affected by noise and only involves simple calculation, which has a potential to be implemented in hardware and more suitable for real-time application.

关键词： Hadamard matrix mathematical morphology morphological clustering power quality disturbance Walsh theory

Location of Asymmetric Ground Fault Using Virtual Injected Current Ratio and Two-stage Recovery Strategy in Distribution Networks

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CSEE Journal of Power and Energy Systems 2024年第1期10卷 151-161页

作者： Haiting Shan Luliang Zhang Q.H.Wu mengshi li School of Electric Power Engineering South China University of Technology(SCUT)Guangzhou 510641China

Sparse measurements challenge fault location in distribution *** paper proposes a method for asymmetric ground fault location in distribution networks with limited measurements.A virtual injected current vector is formulated to estimate the fault line,which can be reconstructed from voltage sags measured at a few buses using compressive sensing(CS).The relationship between the virtual injected current ratio(VICR)and fault position is deduced from circuit analysis to pinpoint the ***,a two-stage recovery strategy is proposed for improving reconstruction accuracy of the current vector,where two different sensing matrixes are utilized to improve the *** proposed method is validated in IEEE 34 node test *** results show asymmetric ground fault type,resistance,fault position and access of distributed generators(DGs)do not significantly influence performance of our *** addition,it works effectively under various scenarios of noisy measurement and line parameter *** on 134 node test feeders prove the proposed method is also suitable for systems with more complex structure.

关键词： Distribution networks fault location reconstruction accuracy two-stage recovery virtual injected current ratio

Risk-averse Robust Interval Economic Dispatch for Power Systems with Large-scale Wind Power Integration

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CSEE Journal of Power and Energy Systems 2024年第1期10卷 105-116页

作者： Zhenjia lin Haoyong Chen Jinbin Chen Jianping Huang mengshi li School of Electric Power Engineering South China University of TechnologyGuangzhou 510641China Department of Electrical Engineering Technical University of DenmarkDenmark

This paper presents a robust interval economic dispatch(RIED)model for power systems with large-scale wind power *** from existing interval optimization(IO)approaches that merely rely on the upper and lower boundaries of random variables,the distribution information retained in the historical data is introduced to the IO method in this *** on the available probability distribution function(PDF),wind power curtailment and load shedding are quantified as the operational risk and incorporated into the decision-making *** this model,we need not rely on the forecasted value of wind power,which is randomly fluctuating and quite ***,when the PDFs of wind power are taken into account,the resulting dispatch solution makes a good tradeoff between the generation cost and the operational ***,the RIED model yields an optimal dispatch solution for thermal units and the allowable intervals of wind power for the wind farms,which efficiently mitigates the uncertainty in wind power generation and provides more practical suggestions for system *** studies are conducted on a modified IEEE-118 bus system and the results verify the effectiveness of the proposed RIED model.

关键词： Economic dispatch interval optimization risk-averse wind power generation

音乐“莎剧”的粤剧化改编呈现——以《刁蛮公主戆驸马》为例

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四川戏剧 2024年第5期 31-35页

作者：李梦石上海师范大学音乐学院

粤剧《刁蛮公主戆驸马》改编自莎士比亚戏剧作品《驯悍记》,初版首演于1933年,由粤剧著名艺术家马师曾先生参与编演。经历多年的实践、改版的沉淀,该剧已经成为了广府百姓熟悉的粤剧传统剧目,直至今日,仍然活跃在各大剧团的舞台之上,是... 详细信息

粤剧《刁蛮公主戆驸马》改编自莎士比亚戏剧作品《驯悍记》,初版首演于1933年,由粤剧著名艺术家马师曾先生参与编演。经历多年的实践、改版的沉淀,该剧已经成为了广府百姓熟悉的粤剧传统剧目,直至今日,仍然活跃在各大剧团的舞台之上,是一部成功且具备意义的作品。以《刁蛮公主戆驸马》作为研究对象,对剧目分别从剧本、唱腔音乐以及舞台表演三个方面进行研究,探究其中粤剧创作手法的运用和独特之处,能够令更多人体会到粤剧传统技艺的魅力和价值。

关键词：粤剧莎士比亚戏剧《驯悍记》《刁蛮公主戆驸马》

徐景新艺术歌曲《无题》的音乐创作与演唱分析

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南京艺术学院学报（音乐与表演版） 2024年第1期 190-193页

作者：李梦石上海师范大学音乐学院上海200235

徐景新的代表作之一《无题》不仅是一首成功的艺术歌曲,更反映了当时中国艺术歌曲的创作水平,其技法运用既有时代创作共性,又有作曲家的个人特色。《无题》采用交响乐编制为歌曲配乐,以中国的五声调式为基点,旋律极具民族性。后根据交... 详细信息

徐景新的代表作之一《无题》不仅是一首成功的艺术歌曲,更反映了当时中国艺术歌曲的创作水平,其技法运用既有时代创作共性,又有作曲家的个人特色。《无题》采用交响乐编制为歌曲配乐,以中国的五声调式为基点,旋律极具民族性。后根据交响乐改编而作的钢琴伴奏版本,也最大化呈现了乐曲的交响性思维,使得乐曲兼具民族特色与时代感,这对于当下的乐曲创作与改编具有一定的借鉴意义。

关键词：徐景新《无题》音乐创作演唱分析

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现代汉语副词“活活”的用法及其来源

汉语学报 2024年第3期 16-27页

作者：董正存李孟诗中国人民大学文学院 100872

现代汉语副词“活活”的三种义项和用法之间不存在引申关系。在汉语史中,双音节“活活”的所有意义和用法几乎都能在单音节“活”的意义和用法中找到系统对应,这表明双音节“活活”是不同意义和用法的单音节“活”经由重叠这一语法手段... 详细信息

现代汉语副词“活活”的三种义项和用法之间不存在引申关系。在汉语史中,双音节“活活”的所有意义和用法几乎都能在单音节“活”的意义和用法中找到系统对应,这表明双音节“活活”是不同意义和用法的单音节“活”经由重叠这一语法手段所共同征用的同一语言编码形式。

关键词： “活活” “活” 重叠

基于多层级条件风险价值的高渗透可再生能源电力系统低碳运行联合优化

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电网与清洁能源 2024年第2期40卷 37-46页

作者：沈佳程李梦诗季天瑶林镇佳华南理工大学电力学院广东广州510006

在双碳目标下,风电渗透率增加给新型电力系统的安稳运行带来挑战,而条件风险价值法(Conditional Value-at-Risk,CVaR)可对风电的随机风险进行分类量化评估,以用于系统调度运行。根据CVaR提出了改进的多层级条件风险价值法(Multi-layer C... 详细信息

在双碳目标下,风电渗透率增加给新型电力系统的安稳运行带来挑战,而条件风险价值法(Conditional Value-at-Risk,CVaR)可对风电的随机风险进行分类量化评估,以用于系统调度运行。根据CVaR提出了改进的多层级条件风险价值法(Multi-layer Conditional Value-at-Risk,MCVaR),并建立了基于MCVaR的高渗透可再生能源电力系统低碳运行联合优化模型。仿真算例结果表明,MCVaR相较于CVaR能够显著降低系统的弃风与切负荷量,同时系统的极端损失下降了49.45%。所提方法能够在满足系统可控风险约束的前提下,实现运行经济效益与低碳环保收益的综合最优化。

关键词：条件风险价值低碳运行可再生能源备用优化

结合地基PM_(2.5)观测资料构建京津冀MODIS AOD完整数据集

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环境科学学报 2024年第5期44卷 368-383页

作者：魏强宋春杰李梦诗段继福李夫星韩芳李伟妙王卫河北师范大学地理科学学院石家庄050024 河北省环境演变与生态建设实验室石家庄050024 河北省环境变化遥感技术识别创新中心石家庄050024

针对遥感气溶胶光学厚度(AOD)产品普遍存在的非随机性缺失问题,本文选取2020年京津冀地区10km×10km的MODIS_MYDMOD04_L2日值数据和地基PM_(2.5)浓度观测日值数据,经过MODIS AOD单星两种算法产品的逆方差加权及双星算术平均融合、PM_(2... 详细信息

针对遥感气溶胶光学厚度(AOD)产品普遍存在的非随机性缺失问题,本文选取2020年京津冀地区10km×10km的MODIS_MYDMOD04_L2日值数据和地基PM_(2.5)浓度观测日值数据,经过MODIS AOD单星两种算法产品的逆方差加权及双星算术平均融合、PM_(2.5)浓度数据的嵌套式时空混合效应模型转换融合和基于上述两种融合产品的时空克里金插值融合等方法集成,建立了研究区完整的AOD日值数据集.结果显示:经AERONET AOD数据验证,双星MODIS AOD融合结果R^(2)为0.87,RMSE为0.27;混合效应模型转换融合结果R^(2)为0.82,RMSE为0.31;时空克里金插值融合结果R^(2)为0.83,RMSE为***数据年平均每日空间覆盖率从MODIS原始数据的58.36%提高到时空克里金插值融合后的98.00%.MODIS AOD多算法多星数据融合的作用是增强与PM_(2.5)浓度日均值数据在时间尺度上的匹配度.地基PM_(2.5)浓度转换融合的作用一是补充区域内分布较均匀的局域AOD相对高值数据,保障了后续时空克里金插值的整体精度;二是能改善大片区域原始AOD数据缺失问题,可明显提高插值的时空覆盖率.所设计的数据融合方法体系,具有方法较简便、精度较高、数据集完整性好的特点.

关键词： MODIS AOD 地基PM_(2.5)观测数据逆方差加权嵌套式时空混合效应模型时空克里金插值京津冀

基于Attention和残差网络的非侵入式负荷监测

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电测与仪表 2024年第6期61卷 173-180页

作者：何健明李梦诗张禄亮季天瑶华南理工大学广州510006

非侵入式负荷监测(non-intrusive load monitoring,NILM)可以从家庭电能表的总功率读数,估算出各用电器的功率。由于对于同一类用电器,其状态种类、各状态持续时长、各状态的功率波形都不同,这使得基于特征工程和聚类的模型的泛化能力不... 详细信息

非侵入式负荷监测(non-intrusive load monitoring,NILM)可以从家庭电能表的总功率读数,估算出各用电器的功率。由于对于同一类用电器,其状态种类、各状态持续时长、各状态的功率波形都不同,这使得基于特征工程和聚类的模型的泛化能力不强;回归模型的分解功率难以迅速跟踪真实功率。针对这些问题,文中将回归问题转化为在序列每个时刻的多分类问题,并提出基于Attention和残差网络的非侵入式负荷监测模型。该模型基于具有编码器和解码器的seq2seq框架,首先通过嵌入矩阵将高维稀疏one-hot向量映射为低维稠密向量;在编码部分,通过双向GRU从前后两个方向提取序列信息,引入Attention机制计算序列中当前时刻最重要的信息,引入残差连接学习残差部分输入输出之间的差异;在解码部分,用回归层组合BiGRU解码结果,取经过softmax函数处理的最大概率功率类别作为结果。该模型在选取REFIT数据集中表现良好,其中测试集与训练集完全独立,表明训练好的模型可以直接应用在新的住宅用户中。

关键词：非侵入式负荷监测深度学习 BiGRU 残差网络注意力机制

Fault Identification in Power Network Based on Deep Reinforcement Learning

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CSEE Journal of Power and Energy Systems 2022年第3期8卷 721-731页

作者： mengshi li Huanming Zhang Tianyao Ji Q.H.Wu School of Electric Power Engineering South China University of TechnologyGuangzhou510641China

With the integration of alternative energy and renewables,the issue of stability and resilience of the power network has received considerable *** basic necessity for fault diagnosis and isolation is fault identification and *** conventional intelligent fault identification method needs supervision,manual labelling of characteristics,and requires large amounts of labelled *** enhance the ability of intelligent methods and get rid of the dependence on a large amount of labelled data,a novel fault identification method based on deep reinforcement learning(DRL),which has not received enough attention in the field of fault identification,is investigated in this *** proposed method uses different faults as parameters of the model to expand the scope of fault *** addition,the DRL algorithm can intelligently modify the fault parameters according to the observations obtained from the power network environment,rather than requiring manual and mechanical tuning of *** methodology was tested on the IEEE 14 bus for several scenarios and the performance of the proposed method was compared with that of population-based optimization methods and supervised learning *** obtained results have confirmed the feasibility and effectiveness of the proposed method.

关键词： Artificial intelligence deep Q network deep reinforcement learning fault diagnosis fault identification parameter identification power network