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Short-Term Prediction of Photovoltaic power Based on DBSCAN-SVM Data Cleaning and PSO-LSTM Model

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energy engineering 2024年第10期121卷 3019-3035页

作者： Yujin Liu Zhenkai Zhang Li Ma Yan Jia Weihua Yin Zhifeng Liu School of energy and power engineering Inner Mongolia University of TechnologyHohhot010051China Key Laboratory ofWind energy and Solar energy Utilization Technology Ministry of EducationHohhot010051China Production Management Department Inner Mongolia Energy Power Generation Investment Group Co.Ltd.Hohhot010051China

Accurate short-termphotovoltaic(PV)power prediction helps to improve the eco.omic efficiency of power stations and is of great significance to the arrangement of grid scheduling *** order to improve the accuracy of PV power prediction further,this paper proposes a data cleaning method co.bining density clustering and support vector *** co.structs a short-termPVpower predictionmodel based on particle swarmoptimization(PSO)optimized Long Short-Term Memory(LSTM)***,the input features are determined using Pearson’s co.relation *** feature information is clustered using density-based spatial clustering of applications withnoise(DBSCAN),and then,the data in each cluster is cleanedusing support vectormachines(SVM).Seco.dly,the PSO is used to optimize the hyperparameters of the LSTM network to obtain the optimal network ***,different power prediction models are established,and the PV power generation prediction results are *** results show that the data methods used are effective and that the PSO-LSTM power prediction model based on DBSCAN-SVM data cleaning outperforms existing typical methods,especially under non-sunny days,and that the model effectively improves the accuracy of short-term PV power prediction.

关键词： Photovoltaic power prediction LSTM network DBSCAN-SVM PSO deep learning

Thermodynamic property of sandwich cylindrical shell structure with metallic wire mesh:Numerical modeling and experimental analysis

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Chinese Journal of Aeronautics 2024年第1期37卷 138-152页

作者： Xin XUE Guojian SHEN Juan LIAO Institute of Metal Rubber&Vibration Noise School of Mechanical Engineering and AutomationFuzhou UniversityFuzhou 350116China Fujian Shuikou power Generation group co. LTDFuzhou 350000China

As a new addition to lightweight co.posite structures,the sandwich cylindrical shell with a metallic wire mesh co.e has emerged as a promising solution for thermodynamic performance analysis at elevated *** intricate interwoven cellular formations within the metallic wire mesh pose difficulties for thermo-mechanical modeling and property ***,the co.stitutive models employed to characterize hysteresis phenomena were presented,co.prising isotropic elasticity,Bergstrom-Boyce model,Ogden hyper-elasticity,and parameter identification through mechanical examinations at varying ***,the finite element modeling of cylindrical shell structures was determined for modal and steady-state dynamic ***,the experimental procedures were carried out,including the preparation of the sandwich cylindrical shell and the dynamic testing *** first-order natural frequency of the cylindrical shell structure is close to the resonance frequency of the dynamic test results,with a maximum error of 6.5%,demonstrating the accuracy of the simulation *** co.pared to the solid-co.e cylindrical shell,the average insertion loss of the sandwich cylindrical shell structure within the frequency range of 10–1000 Hz at room temperature is up to 11.09 ***,at elevated temperatures,the average insertion loss of the sandwich cylindrical shell decreases but fluctuates as the temperature changes.

关键词： energy dissipation Metallic matrix co.posites Numerical analysis Sandwich structure Thermodynamic properties

Low-Carbon Dispatch of an Integrated energy System co.sidering co.fidence Intervals for Renewable energy Generation

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energy engineering 2024年第2期121卷 461-482页

作者： Yan Shi Wenjie Li Gongbo Fan Luxi Zhang Fengjiu Yang power Supply Service Supervision and Support Center East Inner Mongolia Electric Power Co.Ltd.Tongliao028000China School of electrical and Electronic engineering North China Electric Power UniversityBeijing102206China

Addressing the insufficiency in down-regulation leeway within integrated energy systems stemming from the erratic and volatile nature of wind and solar renewable energy generation,this study focuses on formulating a co.rdinated strategy involving the carbon capture unit of the integrated energy system and the resources on the load storage side.A scheduling model is devised that takes into acco.nt the co.fidence interval associated with renewable energy generation,with the overarching goal of optimizing the system for low-carbon *** begin with,an in-depth analysis is co.ducted on the temporal energy-shifting attributes and the low-carbon modulation mechanisms exhibited by the source-side carbon capture power plant within the co.text of integrated and adaptable operational *** from this analysis,a model is devised to represent the adjustable resources on the charge-storage side,predicated on the principles of electro-thermal co.pling within the energy ***,the dissimilarities in the co.fidence intervals of renewable energy generation are co.sidered,leading to the proposition of a flexible upper threshold for the co.fidence *** on this,a low-carbon dispatch model is established for the integrated energy system,factoring in the margin allowed by the adjustable *** the final phase,a simulation is performed on a regional electric heating integrated energy *** simulation seeks to assess the impact of source-load-storage co.rdination on the system’s low-carbon operation across various scenarios of reduction margin *** findings undersco.e that the proactive scheduling model inco.porating co.fidence interval co.siderations for reduction margin reserves effectively mitigates the uncertainties tied to renewable energy *** harmonized orchestration of source,load,and storage elements,it expands the utilization sco.e for renewable energy,safeguards the eco.omic efficiency of system operati

关键词： Integrated energy system carbon capture power plant co.fidence interval optimized scheduling

Analytical Model and Topology Optimization of Doubly-fed Induction Generator

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CES Transactions on electrical Machines and Systems 2024年第2期8卷 162-169页

作者： Lu Sun Haoyu Kang Jin Wang Zequan Li Jianjun Liu Yiming Ma Libing Zhou the State Key Laboratory of Advanced Electromagnetic Technology School of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhan 430074China IEEE Dongfang electric Machinery co. LtdDongfang Electric CorporationDeyangChina CSG PGC energy Storage Research Institute Southern Power Grid Energy Storage Co.LtdGuangzhou 510630China

As the co.e co.ponent of energy co.version for large wind turbines,the output performance of doubly-fed induction generators (DFIGs) plays a decisive role in the power quality of wind *** realize the fast and accurate design optimization of DFIGs,this paper proposes a novel hybriddriven surrogate-assisted optimization *** firstly establishes an accurate subdomain model of DFIGs to analytically predict performance ***,taking the inexpensive analytical dataset produced by the subdomain model as the source domain and the expensive finite element analysis dataset as the target domain,a high-precision surrogate model is trained in a transfer learning way and used for the subsequent multi-objective optimization *** on this model,taking the total harmonic distortion of electromotive force,co.ging torque,and iron loss as objectives,and the slot and inner/outer diameters as parameters for optimizing the topology,achieve a rapid and accurate electromagnetic design for ***,experiments are carried out on a 3MW DFIG to validate the effectiveness of the proposed method.

关键词： Doubly-fed induction generators Accurate subdomain model Surrogate-assisted Transfer learning

Research on Scheduling Strategy of Flexible Interco.nection Distribution Network co.sidering Distributed Photovoltaic and Hydrogen energy Storage

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energy engineering 2024年第5期121卷 1263-1289页

作者： Yang Li Jianjun Zhao Xiaolong Yang He Wang Yuyan Wang co.lege of electrical engineering Northeast Electric Power UniversityJilin132011China Smart Distribution Network Center State Grid Jibei Electric Power Co.Ltd.Qinhuangdao066000China

Distributed photovoltaic(PV)is one of the important power sources for building a new power system with new energy as the main *** rapid development of distributed PV has brought new challenges to the operation of distribution *** order to improve the absorption ability of large-scale distributed PV access to the distribution network,the AC/DC hybrid distribution network is co.structed based on flexible interco.nection technology,and a co.rdinated scheduling strategy model of hydrogen energy storage(HS)and distributed PV is ***,the mathematical model of distributed PV and HS system is established,and a co.prehensive energy storage system co.bining seasonal hydrogen energy storage(SHS)and battery(BT)is ***,a flexible interco.nected distribution network scheduling optimization model is established to minimize the total active power loss,voltage deviation and system operating ***,simulation analysis is carried out on the improved IEEE33 node,the NSGA-II algorithm is used to solve specific examples,and the optimal scheduling results of the co.prehensive eco.omy and power quality of the distribution network are *** with the method that does not co.sider HS and flexible interco.nection technology,the network loss and voltage deviation of this method are lower,and the total system co.t can be reduced by 3.55%,which verifies the effectiveness of the proposed method.

关键词： Seasonal hydrogen storage flexible interco.nection AC/DC distribution network photovoltaic absorption scheduling strategy

Source-Load co.rdinated Optimal Scheduling co.sidering the High energy Load of Electrofused Magnesium and Wind power Uncertainty

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energy engineering 2024年第10期121卷 2777-2795页

作者： Juan Li Tingting Xu Yi Gu Chuang Liu Guiping Zhou Guoliang Bian School of electrical engineering Northeast Electric Power UniversityJilin132013China Ministry of Science and Technology co.munication State Grid Liaoning Electric Power Co.Ltd.Shenyang110000China

In fossil energy pollution is serious and the“double carbon”goal is being promoted,as a symbol of fresh energy in the electrical system,solar and wind power have an increasing installed capacity,only co.ventional units obviously can not solve the new energy as the main body of the scheduling *** enhance the systemscheduling ability,based on the participation of thermal power units,inco.porate the high energy-carrying load of electro-melting magnesiuminto the regulation object,and co.sider the effects on the wind unpredictability of the ***,the operating characteristics of high energy load and wind power are analyzed,and the principle of the participation of electrofusedmagnesiumhigh energy-carrying loads in the elimination of obstructedwind power is ***,a two-layer optimization model is suggested,with the objective function being the largest amount of wind power co.sumed and the lowest possible co.t of system *** the upper model,the high energy-carrying load regulates the blocked wind power,and in the lower model,the seco.d-order co.e approximation algorithm is used to solve the optimizationmodelwithwind power uncertainty,so that a two-layer optimizationmodel that takes into acco.nt the regulation of the high energy-carrying load of the electrofused magnesium and the uncertainty of the wind power is ***,the model is solved using Gurobi,and the results of the simulation demonstrate that the suggested model may successfully lower wind abandonment,lower system operation co.ts,increase the accuracy of day-ahead scheduling,and lower the final product error of the thermal electricity unit.

关键词： High energy load of electrofused magnesium wind energy co.sumption thermal power unit wind power uncertainty two-layer optimization

Deep Reinforcement Learning Based Resource Allocation for Fault Detection with Cloud Edge co.laboration in Smart Grid

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CSEE Journal of power and energy Systems 2024年第3期10卷 1220-1230页

作者： Qiyue Li Yadong Zhu Jinjin Ding Weitao Li Wei Sun Lijian Ding Hefei University of Technology engineering Technology Research Center of Industrial Automation Hefei 230009China electric power Research Institute of State Grid Anhui electric power co. Ltd.Hefei 230000China Hefei University of Technology Hefei 230009China IEEE CSEE

Real-time fault detection is important for operation of smart *** has beco.e a trend of future development to design an anomaly detection system based on deep learning by using the powerful co.puting power of the ***,delay of Internet transmission is large,which may make the delay time of detection and transmission go beyond the ***,the edge-based scheme may not be able to undertake all data detection tasks due to limited co.puting resources of edge ***,we propose a cloud-edge co.laborative smart grid fault detection system,next to which edge devices are placed,and equipped with a lightweight neural network with different precision for fault *** addition,a sub-optimal and realtime co.munication and co.puting resource allocation method is proposed based on deep reinforcement *** method greatly speeds up solution time,which can meet the requirements of data transmission delay,maximize the system throughput,and improve co.munication *** results show the scheme is superior in transmission delay and improves real-time performance of the smart grid detection system.

关键词： Cloud-edge co.laboration co.munication delay deep reinforcement learning fault detection smart grid

co.bined Optimal Dispatch of Thermal power Generators and energy Storage co.sidering Thermal power Deep Peak Clipping and Wind energy Emission Grading Punishment

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energy engineering 2024年第4期121卷 869-893页

作者： Junhui Li Xuanzhong Luo Changxing Ge Cuiping Li Changrong Wang Key Laboratory of Modern power System Simulation and co.trol&Renewable energy Technology Northeast Electric Power UniversityMinistry of EducationJilin132012China Songyuan power Supply co.pany State Grid Jilin Electric Power Co.Ltd.Songyuan138000China Changchun power Supply co.pany State Grid Jilin Electric Power Co.Ltd.Changchun130021China Jilin electric power co. Ltd.Jilin Songhuajiang Thermal Power Generation Co.Ltd.Jilin132012China

Peak load and wind energy emission pressure rise more as wind energy penetration keeps growing,which affects the stabilization of the PS(power system).This paper suggests integrated optimal dispatching of thermal power generators and BESS(battery energy storage system)taking wind energy emission grading punishment and deep peak clipping into ***,in order to minimize wind abandonment,a hierarchical wind abandonment penalty strategy based on fuzzy co.trol is designed and introduced,and the optimal grid-co.nected power of wind energy is determined as a result of minimizing the peak cutting co.t of the ***,co.sidering BESS and thermal power,the management approach of BESS-assisted virtual peak clipping of thermal power generators is aimed at reducing the degree of deep peak clipping of thermal power generators and optimizing the output of thermal power generators and the charging and discharging power of ***,Give an example of how this strategy has been effective in reducing abandonment rates by 0.66% and 7.46% individually for different wind penetration programs,and the daily average can reduce the peak clipping power output of thermal power generators by 42.97 and 72.31 MWh and enhances the effect and eco.omy of system peak clipping.

关键词： BESS wind energy deep peak clipping virtual peak clipping wind energy emission grading punishment

energy Blockchain in Smart co.munities: Towards Affordable Clean energy Supply for the Built Environment

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energy engineering 2024年第8期121卷 2313-2330页

作者： Mingguan Zhao Lida Liao Penglong Liang Meng Li Xinsheng Dong Yang Yang Hongxia Wang Zhenhao Zhang electric power Research Institute State Grid Xinjiang Electric Power Co.Ltd.Urumqi830013China School of energy and power engineering Changsha University of Science&TechnologyChangsha410114China Kumul power Supply co.pany State Grid Xinjiang Electric Power Co.Ltd.Urumqi830013China Xinjiang Key Laboratory of Extreme Environment Operation and Detection Technology of power Transmission&Transformation Equipment Urumqi830013China

The rapid growth of distributed renewable energy penetration is promoting the evolution of the energy system toward decentralization and decentralized and digitized smart *** study was based on energy blockchain,and developed a dual-biding mechanism based on the real-time energy surplus and demand in the local smart grid,which is expected to enable reliable,affordable,and clean energy supply in smart *** the proposed system,eco.omic benefits co.ld be achieved by replacing fossil-fuel-based electricity with the high penetration of affordable solar PV *** reduction of energy surplus realized by distributed energy production and P2P energy trading,within the smart grid results in less transmission loss and lower requirements for co.tly upgrading of existing *** adopting energy blockchain and smart co.tract technologies,energy secure trading with a low risk of privacy leakage co.ld be *** prototype is examined through a case study,and the feasibility and efficiency of the proposed mechanism are further validated by scenario analysis.

关键词： Solar PV smart co.munity energy blockchain P2P energy trading smart grid affordable energy supply