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Short-Term Interval Prediction of Photovoltaic power Considering Correlation Information Matching of Meteorological Resources and Trend Mutation Perception

SSRN

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SSRN 2023年

作者： Yang, Mao Li, Yi Zhang, Wei Su, Xin Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin 132012 China

Since errors in deterministic forecasting of photovoltaic power cannot be avoided, interval prediction can adequately characterize the uncertainty in photovoltaic power, which in turn provides further guidance for decision making in the dispatch department. The current interval prediction method is still incomplete in mining the physical change process of photovoltaic power, and there is a problem of low matching degree of gridded meteorological forecast data in the provincial area. Aiming at the above problems, a short-term interval prediction framework of photovoltaic power considering meteorological correlation information matching and trend mutation perception is proposed in this paper. Firstly, the NWP information is reconstructed for low matching degree power stations, and the weather type is predicted by photovoltaic output level. Next, the prediction interval is calculated based on the state transition probability matrices for trend-change factor, time-correlation factor, and numerical-mutation factor. Finally, the framework of this paper is applied to a photovoltaic power plant in Jilin Province, China, and the results of the arithmetic example show that, compared with other methods, the average RMSE of this paper's method is reduced by 5.3%, and the CWC is improved by at least 2.1%, which verifies the effectiveness of this paper's method. © 2023, The Authors. All rights reserved.

关键词： Decision making

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Wind power Ultra-Short-Term Prediction Method Based on Nwp Wind Speed Correction and Double Clustering Division of Transitional Weather Process

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SSRN 2023年

作者： Yang, Mao Guo, Yunfeng Huang, Yutong Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education [Northeast Electric Power University Jilin132012 China

Wind power prediction technology is important for building novel power systems with a high proportion of renewable energy. Numerical weather prediction (NWP) data quality has a significant impact on the accuracy of ultra-short-term wind power prediction (USTWPP). However, existing NWP do not reflect the adaptability of different weather processes, because of it’ s forecasting errors. In view of this, this paper proposes an USTWPP method based on NWP wind speed correction and transitional weather process division. The BILSTM-INFO-HKELM was first used to correct the NWP wind speed, and then the multiple clustering method was used to divide the transitional weather processes to establish a model for USTWPP based on different scenarios, the overall method was finally applied to a wind farm in west inner Mongolia, China. Compared to the pre-correction, the wind speed forecasted RMSE was reduced by 1.702 and the MAE by 1.366. Based on the wind power ultra-short-term prediction method proposed in this paper, the average reduction in RMSR is 4.96% and in MAE is 4.36% compared to the various comparison methods in this paper. The wind power ultra-short-term prediction method combining wind speed correction and double clustering division of weather scenarios can significantly improve prediction accuracy. © 2023, The Authors. All rights reserved.

关键词： Wind power

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control and Stability of Large-scale power system with Highly Distributed renewable energy Generation:Viewpoints from Six Aspects

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CSEE Journal of power and energy systems 2023年第1期9卷 8-14页

作者： Qing-Hua Wu Anjan Bose Chanan Singh Joe H.Chow Gang Mu Yuanzhang Sun Zhaoxi Liu Zhigang Li Yang Liu School of Electric Power Engineering South China University of TechnologyGuangzhou 510640China School of Electrical Engineering&Computer Science Washington State UniversityPullmanWA 99164USA Department of Electrical and Computer Engineering Texas A&M UniversityCollege StationTX 77843USA Department of Electrical Computer and Systems EngineeringRensselaer Polytechnic Institute(RPI)TroyNYUSA Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin 132012China School of Electrical Engineering and Automation Wuhan UniversityWuhan 430072China

power systems are moving toward a low-carbon or carbon-neutral future where high penetration of renewables is *** conventional fossil-fueled synchronous generators in the transmission network being replaced by renewable energy generation which is highly distributed across the entire grid,new challenges are emerging to the control and stability of large-scale power *** analysis and control methods are needed for power systems to cope with the ongoing *** the CSEE JPES forum,six leading experts were invited to deliver keynote speeches,and the participating researchers and professionals had extensive exchanges and discussions on the control and stability of power ***,potential changes and challenges of power systems with high penetration of renewable energy generation were introduced and explained,and advanced control methods were proposed and analyzed for the transient stability enhancement of power grids.

关键词： Distributed energy resources high converter penetration power system control renewable energy generation stability control transient stability

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Research on the Grid-connected Photovoltaic power Scheduling Strategy Considering the Flexible Load 3

Research on the Grid-connected Photovoltaic Power Scheduling...

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3rd International Conference on energy Engineering and power systems, EEPS 2023

作者： Meng, Tao Li, Chenggang Li, Dexin Zhang, Jiajun State Grid Jilin Electric Power Co. Ltd Electric Power Research Institute China Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education School of Electrical Engineering Changchun China State Grid Jilin Electric Power Co. Ltd Electric Power Research Institute Changchun China

ISBN: (纸本)9798350313857

With the target of "peak carbon dioxide emission"and "carbon neutrality", the installed capacity of renewable energy power generation is increasing rapidly. To improve the absorption capacity of renewable energy, the frequency regulation ability of flexible load is considered. Diffusion strategy is an optimal strategy for the distributed multi-agent system. Considering the flexible load, the grid-connected photovoltaic power applies the diffusion strategy to optimize the scheduling strategy. The effectiveness of the proposed optimal algorithm is verified by a simulation example. The results show that the proposed algorithm can realize frequency regulation, and improve the installed capacity of photovoltaic power generation. © 2023 IEEE.

关键词： Multi agent systems

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A Novel Directional Pilot Protection for Flexible DC Distribution Grid

A Novel Directional Pilot Protection for Flexible DC Distrib...

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power and Electrical Engineering (ACPEE), 5th Asia Conference on

作者： Xiuyan Wei Guibin Zou Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Ji’nan China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

ISBN: (数字)9798350309638

ISBN: (纸本)9798350309645

The existing directional pilot protection (DPP) is susceptible to the line distributed capacitance and the fault resistance, and mostly rely on the current limiting reactance (CLR) at the line ends. To solve the above problems, the line-mode fault component power (LFCP) based DPP is proposed for flexible DC distribution grid (FDCDG). First, the characters of LFCP are discussed under different faults. The theoretical analysis show that the polarity of the LFCP under internal fault is same, while the polarity of the LFCP is opposite under external fault. Then, the LFCP is built as the directional criterion, and the corresponding protection scheme is constructed. The electromagnetic transient simulations of the PSCAD/EMTDC verify that the proposed DPP is less affected by the noise, and has low requirement on the sampling rate, strong engineering applicability.

关键词： Resistance Electrical engineering Sensitivity Limiting simulation Noise Capacitance

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Modeling and small-signal stability analysis of doubly-fed induction generator integrated system

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Global energy Interconnection 2023年第4期6卷 438-449页

作者： Tianming Gu Puyu Wang Dingyuan Liu Ao Sun Dejian Yang Gangui Yan Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin132012P.R.China School of Automation Nanjing University of Science and TechnologyNanjing 210094Jiangsu ProvinceP.R.China

Owing to their stability,doubly-fed induction generator(DFIG)integrated systems have gained considerable interest and are the most widely implemented type of wind turbines and due to the increasing escalation of the wind generation penetration rate in power *** this study,we investigate a DFIG integrated system comprising four modules:(1)a wind turbine that considers the maximum power point tracking and pitch-angle control,(2)induction generator,(3)rotor/grid-side converter with the corresponding control strategy,and(4)AC power *** detailed small-signal modeling of the entire system is performed by linearizing the dynamic characteristic equation at the steady-state ***,a dichotomy method is proposed based on the maximum eigenvalue real part function to obtain the critical value of the ***-locus analysis is employed to analyze the impact of changes in the phase-locked loop,short-circuit ratio,and blade inertia on the system ***,the accuracy of the small-signal model and the real and imaginary parts of the calculated dominant poles in the theoretical analysis are verified using PSCAD/EMTDC.

关键词： Doubly-fed induction generator(DFIG) Maximum power point tracking Dichotomy Small-signal stability

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Research on a New Integrated Device for Remote control of power Cable Testing and Cutting

Research on a New Integrated Device for Remote Control of Po...

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2024 Boao New power system International Forum - power system and New energy technology Innovation Forum, NPSIF 2024

作者： Cao, Kangyangyong Xing, Hongquan Zhang, Yilin Xue, Chuan Li, Feiyi Gao, Ziyang State Grid Changchun Power Supply Company Changdian Group Cable Engineering Branch Jilin Changchun130000 China State Grid Changchun Power Supply Company Operation Maintenance Department Jilin Changchun130000 China Northeast Electric Power University Engineering Training and Teaching Center Jilin Jilin132011 China Jilin Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin132011 China

ISBN: (纸本)9798331504557

With the continuous improvement and development of urban power grid structures, it is inevitable that cable lines will need to be renovated and replaced. In the process of cable construction, the traditional cable cutting process involves independent operations, requiring a large amount of equipment and occupying a large area. Workers need to wear protective clothing when cutting, which is inflexible and inefficient. This approach is no longer adequate for the diverse and complex construction sites of today. To this end, a new type of integrated power cable cutting device is specially designed and developed, which combines testing and cutting, reducing the use of cable cutting tools. The newly developed circuit cutter is designed with features such as compact size, high structural strength, good cutting effect, strong adaptability, and remote control function. It can significantly improve the safety and convenience of cable cutting operations, which is of positive significance for improving construction quality and efficiency and ensuring the personal safety of operators. © 2024 IEEE.

关键词： Remote control

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A Short-Term power Prediction Method for Wind Farm Cluster Based on Time Dynamic Graph Network and Improved Transformer Model

A Short-Term Power Prediction Method for Wind Farm Cluster B...

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International Russian Smart Industry Conference (SmartIndustryCon)

作者： Chao Han Zihang Chen Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China Jiangmen Power Supply Bureau of Guangdong Power Grid Co. Ltd Jiangmen China

ISBN: (数字)9798331511241

ISBN: (纸本)9798331511258

In recent years, wind power has gradually replaced thermal power as the main source of new energy generation. Wind power prediction in advance can help formulate scheduling strategies and improve the stability of the power system. With the advent of the Industry 4.0 and the widespread application of artificial intelligence technology, artificial algorithms have been extensively used in the field of wind power prediction. To further explore the spatiotemporal correlation of every wind farm in the wind farm cluster, a temporal dynamic graph network is used to divide the wind farm farm into several sub-clusters. Then, the KAN-BiLSTM-Transformer algorithm is used to predict wind power of each wind sub-cluster. Finally, the wind power of each sub-cluster is added to attain the final predicted power of the wind farm cluster. After verification, the RMSE and MAE of the proposed method is 0.06849 and 0.05805 respectively, with an accuracy of 93.15%, which is superior to the compared algorithms. Proposed method can provide more accurate prediction results.

关键词： Accuracy Heuristic algorithms Clustering algorithms Wind power generation Wind farms Predictive models Prediction algorithms Transformers Spatiotemporal phenomena Wind forecasting

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Visual simulation Platform for Optimization Configuration and Coordinated control of Thermal-Storage Joint Frequency Regulation

Visual Simulation Platform for Optimization Configuration an...

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IEEE Conference on energy Internet and energy system Integration (EI2)

作者： Cuiping Li Ziyun Zong Zheng Fang Zhijun Li Ping Zhang Qinglin Sui Xingxu Zhu Junhui Li Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University China Huadian Electric Power Research Institute Co. LTD Hangzhou China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

First, analyze the frequency modulation demand situation and propose an optimized configuration method for coordinating the control strategy of a thermal-mixed energy storage system to assist thermal power units in frequency modulation. Then, based on the proposed optimized configuration method and coordination control strategy, develop a visualization simulation platform for the optimized configuration and coordinated control of thermal energy storage joint frequency modulation using Matlab App Designer. Finally, the case study is based on the measured data from a 300 MW thermal power unit in a certain region of China, and it conducts an analysis to verify the effectiveness of the visualization simulation platform.

关键词： Visualization Frequency modulation Data visualization Thermal conductivity Thermal analysis MATLAB Frequency control Optimization Thermal energy energy storage

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Economic Analysis of energy Storage Peak Shaving Considering Full Life Cycle Cost 5

Economic Analysis of Energy Storage Peak Shaving Considering...

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5th IEEE International Electrical and energy Conference, CIEEC 2022

作者： Li, Junhui An, Chenyu Zhang, Jingxiang Li, Cuiping Zhao, Haiji Yu, Jun Jin, Xuezhu Hou, Kaiyuan Xu, Fei Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin132012 China Northeast Branch of State Grid Corporation of China Liaoning Shenyang110180 China Haidian District Beijing100084 China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

As an effective means to improve the wind power consumption capacity of power system, the economy of energy storage participation auxiliary service has received extensive attention from academic circles. In this paper, the cost composition of the whole life cycle of the electrochemical energy storage system is comprehensively considered, and the economic analysis of different Wheres of electrochemical energy storage participating in peak shaving auxiliary services is conducted according to the operation rules of the power market in northeast China. Firstly, four widely used electrochemical energy storage systems were selected as the representative, and the control strategy of source-side energy storage system was proposed for real-time peak modulation in wind farms. Secondly, the peak shaving economic model based on the life cycle cost of energy storage is constructed. Finally, by selecting the annual data of a wind farm in northeast China, the economic benefits of different Wheres of electrochemical energy storage are analyzed and compared, and the reasonable opinions on improving the benefits of energy storage are given. © 2022 IEEE.

关键词： Life cycle

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