检索结果-南通市图书馆

Short-term photovoltaic power forecasting based on a new hybrid deep learning model incorporating transfer learning strategy

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Global Energy Interconnection 2024年第6期7卷 825-835页

作者： Tiandong Ma Feng Li Renlong Gao Siyu Hu Wenwen Ma State Grid Ningxia electric power Co. LtdYinchuan 750001P.R.China china electric power Research Institute Nanjing 200003P.R.China

The accurate prediction of photovoltaic(PV)power generation is an important basis for hybrid grid *** the expansion of the scale of PV power plants and the popularization of distributed PV,this study proposes a multilayer PV power generation prediction model based on transfer learning to solve the problems of the lack of data on new PV bases and the low accuracy of PV power generation *** proposed model,called DRAM,concatenates a dilated convolutional neural network(DCNN)module with a bidirectional long short-term memory(BiLSTM)module,and integrates an attention ***,the processed data are input into the DCNN layer,and the dilation convolution mechanism captures the spatial features of the wide sensory field of the input ***,the temporal characteristics between the features are extracted in the BiLSTM ***,an attention mechanism is used to strengthen the key features by assigning weights to efficiently construct the relationship between the features and output *** addition,the power prediction accuracy of the new PV sites was improved by transferring the pre-trained model parameters to the new PV site prediction *** this study,the pre-training of models using data from different source domains and the correlations between these pre-trained models and the target domain were analyzed.

关键词： Multi-layer PV power generation prediction model Pre-training model Parameter transfer

A state-of-the-art review on transition between the fast fluidization and pneumatic transport of Geldart group B particles

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Particuology 2023年第2期73卷 78-94页

作者： Boyu Deng Yi Zhang Man Zhang Yi Ding Tuo Zhou Xinhua Yang Zhong Huang Hairui Yang Guangxi Yue State Key Laboratory of power Systems Department of Energy and Power EngineeringTsinghua UniversityBeijing100084China china electric power Planning&Engineering Institute Beijing100120China SDIC power Holding Co. LtdBeijing100034China

The fluidization state in the circulating fluidized bed(CFB)boiler is crucial to its stable and safe ***,up to now,the research field has not reached unanimity on whether the fluidization regime that the upper furnace of the boiler operates in is the fast fluidization or pneumatic *** this end,this paper reviewed relevant research on the transition between the fast fluidization and pneumatic transport of Geldart group B particles,including the flow characteristics of the fast fluidization,the transition condition between the fast fluidization and pneumatic transport,the determination methods of the transport velocity utr and saturation carrying capacity G_(s)* and the influencing factors on these two *** research findings can provide certain guidelines for the design and optimization of the CFB boiler,and result in plenty of prediction correlations for utr and G_(s)*.Nonetheless,owing to insufficient data available on Geldart group B particles,especially the ones obtained under high temperature or pressure conditions and in large-scale CFB apparatuses,the existing correlations are not well suited for the prediction of u_(tr) and G_(s)* of Geldart group B ***,further efforts are urgently demanded on the fast fluidization transition of Geldart group B particles.

关键词： Fast fluidization transition Transport velocity Saturation carrying capacity Geldart group B particles Circulating fluidized bed

RL and AHP-Based Multi-Timescale Multi-Clock Source Time Synchronization for Distribution power Internet of Things

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2024年第3期78卷 4453-4469页

作者： Jiangang Lu Ruifeng Zhao Zhiwen Yu Yue Dai Kaiwen Zeng electric power Dispatching and Control Center Guangdong Power Grid Co.Ltd.Guangzhou510600China

Time synchronization(TS)is crucial for ensuring the secure and reliable functioning of the distribution power Internet of Things(IoT).Multi-clock source time synchronization(MTS)has significant advantages of high reliability and accuracy but still faces challenges such as optimization of the multi-clock source selection and the clock source weight calculation at different timescales,and the coupling of synchronization latency jitter and pulse phase *** this paper,the multi-timescale MTS model is conducted,and the reinforcement learning(RL)and analytic hierarchy process(AHP)-based multi-timescale MTS algorithm is designed to improve the weighted summation of synchronization latency jitter standard deviation and average pulse phase ***,the multi-clock source selection is optimized based on Softmax in the large timescale,and the clock source weight calculation is optimized based on lower confidence bound-assisted AHP in the small *** shows that the proposed algorithm can effectively reduce time synchronization delay standard deviation and average pulse phase difference.

关键词： Multi-clock source time synchronization(TS) power Internet of Things reinforcement learning analytic hierarchy process

Evaluation method for electromagnetic interference complexity of high voltage switch based on feature extraction and GCC-GRU network

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

High Voltage 2024年第3期9卷 749-761页

作者： Wenchao Lu Jiandong Duan Lin Cheng Jiangping Lu Jiaxin Tao Jianning Yin School of electrical Engineering Xi'an University of TechnologyXi'anChina power Research Institute of State Grid Shaanxi electric power Co. LtdXi'anChina

When some new-type sensors are subjected electromagnetic interference(EMI),the traditional standard can no longer serve as the guidance for their EMI ***,it is necessary to evaluate the complexity of the new sensing equipment's suffering from electromagnetic interference.A hybrid method of feature extraction and complexity evaluation of Electromagnetic Interference signals based on generalised correntropy criterion(GCC)is ***,a variational mode decomposition al-gorithm for adaptive extraction of decomposed signals is constructed using GCC,and Generalised S-transform is used for processing and ***,according to the time-frequency space model,a new quantitative evaluation criterion interference factor is proposed,which overcomes the shortcomings of the traditional qualitative classification and the inability to solve the cross classification of ***,the Gated Recurrent Unit is introduced,and the GCC-GRU evaluation model with GCC as the loss function is *** authors conduct EMI tests and measured signal eval-uation with Medium Voltage and High Voltage switches,and the results show that the method proposed is correct and effective.

关键词： complexity criterion network

Wind farm polymerization influences on security and economic operation in power system based on Copula function

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Modern power Systems and Clean Energy 2015年第3期3卷 381-392页

作者： Xiong PAN Zhuo LIU Wenxia LIU Yanqing LI Postgraduate Workstation of Yunnan power Gird Company Ltd.North China Electric Power UniversityKunming 650217China North china electric power University Baoding 071000China Grid Planning&Research Center Guizhou Power Grid CooporationCSGGuiyang 550002China

Wind speed dependences on different areas in a wind farm have influences on security and economic operation in power *** order to simulate the correlation of wind speed series between different positions,this paper applies Copula function and rank correlation matrix methods to measure the coherence of wind speed in a wind *** correlated wind sample space is *** to active power output characteristics of wind turbines,the polymerization model in a wind farm can be *** Carlo optimal power flow is applied to IEEE-30 and IEEE-300 bus systems based on the principle of energy saving *** study shows that the accuracy of outputs is improved,thus reducing the fluctuation ranges in unit generating costs and power flow in branches while considering wind speed *** approach provides a new method to improve the effectiveness of energy saving dispatching and system operation *** have been tested to be effective.

关键词： Copula function Wind farm polymerized model Rank correlation Optimal power flow

CPFD modeling of hydrodynamics,combustion and NOx emissions in an industrial CFB boiler

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Particuology 2023年第10期81卷 174-188页

作者： Jian Chang Xinrui Ma Xin Wang Xiaohang Li School of Energy Power and Mechanical EngineeringNorth China Electric Power UniversityBeijing102206China Bluestar(Beijing)Chemical Machinery Co. LtdBeijing100176China

The ultra-low NOx emission requirement(50 mg/m^(3))brings great challenge to CFB boilers in *** further tap the NOx abatement potential,full understanding the fundamentals behind CFB boilers is *** achieve this,a comprehensive CPFD model is established and verified;gas-solid flow,combustion,and NOx emission behavior in an industrial CFB boiler are elaborated;influences of primary air volume and coal particle size on furnace performance are *** results indicate that there exists a typical core-annular flow structure in the boiler *** temperature is highest in the bottom dense-phase zone(about 950℃)and decreases gradually along the furnace ***-deficient combustion results in high CO concentration and strong reducing atmosphere in the lower *** concentration gradually increases in the bottom furnace,reaches maximum at the elevation of secondary air inlet,and then decreases slightly in the upper *** decreasing the primary air volume and coal particle size would increase the CO concentration and intensify the in-furnace reducing atmosphere,which favors for NOx reduction and low NOx emission from CFB boilers.

关键词： Hydrodynamics Combustion NOx emission CFB boiler CPFD

An Efficient Method for Estimating Capability Curve of Virtual power Plant

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

CSEE Journal of power and Energy Systems 2022年第3期8卷 780-788页

作者： Zhenfei Tan Haiwang Zhong Xuanyuan Wang Honghai Tang Department of electrical Engineering State Key Laboratory of Power SystemsTsinghua UniversityBeijingChina power exchange center State Grid Jibei Electric Power Co.LtdBeijingChina Beijing power Exchange Center BeijingChina

To incorporate the operating constraints of a virtual power plant(VPP)in transmission-level operation and market clearing,the concept of the VPP capability curve(VPP-CC)is proposed which explicitly characterizes the allowable range of active and reactive power outputs of a VPP.A two-step projection-based calculation framework is proposed to approximate the VPP-CC by the convex hull of critical points on its *** output of the proposed algorithm is concise and can be easily incorporated in the existing system operation and market *** studies based on the IEEE 33 and 123 test feeders show the computational efficiency of the proposed method outperforms existing methods by 4~7 ***,many fewer inequalities are needed to depict the VPP-CC while achieving the comparative approximation accuracy compared to sampling-based methods,which will relieve the communication and computation burden.

关键词： Aggregation model capability curve optimal power flow projection algorithm virtual power plant

Distributed Robust Optimal Dispatch for the Microgrid Considering Output Correlation between Wind and Photovoltaic

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Energy Engineering 2023年第8期120卷 1775-1801页

作者： Ming Li Cairen Furifu Chengyang Ge Yunping Zheng Shunfu Lin Ronghui Liu New power SystemTechnology Research Institute Electric Power Research InstituteThe Electric Power Research Institute of State Grid Xinjiang Electric Power Co.Ltd.Urumqi830000China The College of electrical Engineering Shanghai University of Electric PowerShanghai200090China

As an effective carrier of integrated clean energy,the microgrid has attracted wide *** randomness of renewable energies such as wind and solar power output brings a significant cost and impact on the economics and reliability of *** paper proposes an optimization scheme based on the distributionally robust optimization(DRO)model for a microgrid considering solar-wind ***,scenarios of wind and solar power output scenarios are generated based on non-parametric kernel density estimation and the Frank-Copula function;then the generated scenario results are reduced by K-means clustering;finally,the probability confidence interval of scenario distribution is constrained by 1-norm and∞-*** model is solved by a column-and-constraint generation *** studies are conducted on a microgrid system in Jiangsu,china and the obtained scheduling solution turned out to be superior under wind and solar power uncertainties,which verifies the effectiveness of the proposed DRO model.

关键词： Microgrid uncertainty distributionally robust optimization Frank-Copula function scenario generation and reduction

Efficient anomaly detection method for offshore wind turbines

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Electronic Science and Technology 2024年第4期22卷 81-95页

作者： Yi-Feng Li Zhi-Ang Hu Jia-Wei Gao Yi-Sheng Zhang Peng-Fei Li Hai-Zhou Du Shanghai electric power Energy Technology Co. Ltd.Shanghai200233China School of Computer Science and Technology Shanghai University of Electric PowerShanghai201306China

Time-series anomaly detection plays a crucial role in the operation of offshore wind *** wind turbine monitoring systems rely on time-series data to monitor and identify anomalies in real-time,as well as to initiate early warning ***,for offshore wind turbines with a high data density,conventional methods have high computational overhead in detecting anomalies while failing to accurately detect anomalies due to variations in data *** address this challenge,we propose an efficient anomaly detection method with contrastive learning,called *** is based on residual clustering,an unsupervised anomaly detection method for multivariate time-series *** ensure accurate anomaly detection,a trend-capturing prediction module is also combined with an automatic labeling *** a result,the most common information can be learned from multivariate time-series data to reconstruct data *** evaluating Hawkeye on public datasets and real-world offshore wind turbine operational datasets,the results show that Hawkeye’s F_(1)-score improves by an average of 14% compared with Isolation Forest,and its size shrinks by up to 11.5 times on the largest dataset compared with other *** proposed Hawkeye is potential to real-time monitoring and early warning systems for wind turbines,accelerating the development of intelligent operation and maintenance.

关键词： Anomaly detection Offshore wind turbines Residual clustering Time-series Unsupervised learning