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7th International Conference on Information Science and control Engineering, ICISCE 2020

作者： Liang, Yinghui Tang, Haiyan Chu, Zhaobi Xu, Chen China Electric Power Research Institute State Key Laboratory of Operation and Control of Renewable Energy Storage Systems Beijing China Hefei University of Technology School of Electrical and Automation Engineering Hefei China

ISBN: (纸本)9781728164069

This paper presents a method based on adaptive internet model to identify the time delay, the frequency and the amplitude of sinusoidal signals received from two spatially separated sensors. Slow integral manifold, averaging method, Lyapunov stability theorem are used in sequence to analyze the exponential convergence property, the dynamic performance and the ultimate boundedness under bounded disturbance. The advantages of the proposed technique are revealed in the following aspects: the little effect of the actual value of the signal frequency on the ultimate convergence property and the little effect of the actual value of the signal amplitude on the convergence speed, the adjustable boundary values of the identification errors of amplitude, frequency and delay time by tuning the three design parameters. Simulation results verify the validity. © 2020 IEEE.

关键词： Frequency estimation

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Study on coordinated control strategy of wind farm's frequency regulation based on multi-layer hierarchical structure 12

Study on coordinated control strategy of wind farm's frequen...

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12th IEEE PES Asia-Pacific Power and energy Engineering Conference, APPEEC 2020

作者： Wang, Wancheng Yang, Yi Zhao, Dawei Qian, Minhui Hohai University College of Energy and Electrical Engineering Nanjing211100 China China Electric Power Research Institute State Key Laboratory of Operation and Control of Renewable Energy Storage Systems Nanjing Jiangsu Province210003 China

ISBN: (纸本)9781728157481

As the penetration rate of new energy sources such as wind power in the power grid continues to increase, the power grid generally puts forward requirements for its participating in the primary frequency regulation of power grid. At present, the commonly adopted strategy for wind farms to participate in frequency regulation is that each wind farm should participate in primary frequency regulation of power grid, and frequent adjustment will bring a certain degree of life loss to wind power equipment. On account of this reason, this paper presents a coordinated control strategy for the frequency regulation of wind farms based on a multi-layer hierarchical structure. When the grid frequency fluctuates, the active power of some wind farms with superior performance can be adjusted according to specific circumstances to complete frequency regulation target. The simulation results verify the effectiveness of the strategy and achieve a good frequency regulation effect. © 2020 IEEE.

关键词： Wind turbines

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Extraction and application of intrinsic predictable component in day-ahead power prediction for wind farm cluster

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energy 2025年 328卷

作者： Yang, Mao Jiang, Renxian Yu, Xinnan Wang, Bo Su, Xin Ma, Chenglian The Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing100912 China

With the continuous updating and iteration of artificial intelligence algorithms, prediction models emerge one after another, but the research and utilization of the predictability of wind power is still less. Therefore, this paper proposed a day-ahead power prediction method for Wind Farm Cluster (WFC) based on intrinsic predictable component extraction. Firstly, based on the difference of power distribution between wind farm and WFC, a method of Wind Power Curve (WPC) modeling for WFC is proposed, which provides the basis for establishing the Final Set of Wind Power Curve (FSWPC). Secondly, the Intrinsic Predictable Component (IPC) of wind power is extracted based on the FSWPC, and the Interference Component (IC) of wind power is separated to eliminate the influence of IC on IPC in the process of prediction. Thirdly, the historical similarity matching method with large threshold is used to predict the IC to make up for the numerical deficiency of the IPC. Finally, the proposed method was applied to a WFC in China to verify its effectiveness. Compared with the traditional prediction strategy, the NRMSE, NMAE and MAPE are reduced by 1.59 %, 1.15 % and 6.42 %, respectively. © 2025 Elsevier Ltd

关键词： Iterative methods

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External Electrode Temperature Monitoring of Lithium Iron Phosphate Batteries Based on Fiber Bragg Grating Sensors 4

External Electrode Temperature Monitoring of Lithium Iron Ph...

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4th International Conference on Environmental and energy Engineering, IC3E 2020

作者： Peng, Jun Jin, Yiming Jia, Shuhai Xu, Shouping School of Mechanical Engineering Xi'An Jiaotong University Xi'an710049 China State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing100192 China

Lithium-ion (Li-ion) batteries have become a promising candidate for the electrical energy storage and power delivery solutions. Thermal management is a key tool to improve performance and safety of Lithium-ion batteries. Currently, the common method is using electric sensors to monitor the thermal behaviour of batteries. In this work, an optical fiber sensor was proposed for temperature measurement of cells. The proposed sensor consists of a metal ring and a fiber Bragg grating (FBG). The FBG sensor calibration test shows a good linearity and high sensitivity. The FBG sensors were gloved on the external electrodes to monitor the temperature variation during charge/discharge cycles, and the PT100 sensors were attached on the electrodes as a comparison. Comparison test illustrates the response of proposed FBG sensors has a good agreement with PT100 sensors. It provides that the proposed FBG sensor can be used to monitor the temperature variation of cells, which provides a promising tool to improve the thermal management and safety of Li-ion batteries. © Published under licence by IOP Publishing Ltd.

关键词： Lithium-ion batteries

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Economic Dispatch of Distribution Network with Distributed energy storage and PV Power Stations

Economic Dispatch of Distribution Network with Distributed E...

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2020 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2020

作者： Li, Xiangjun Wang, Lijun Yan, Ning Ma, Rui State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing China School of Electrical Engineering Shenyang University of Technology Shenyang Liaoning Province China

ISBN: (纸本)9781728152158

With the gradual increase of load in distribution network and the improvement of power supply requirements, the development of distribution network has been paid attention, and the dispatching research of distribution network has become one of the important topics. In order to ensure the stability and economy of the distribution network, the distributed energy storage systems (ESS) is considered to participate in the distribution network dispatching. With the minimum sum of the main network power purchase cost, the network active loss cost and the voltage deviation penalty cost, an economic dispatching model including the output power of photovoltaic (PV) power stations, distributed ESS and the main network is established, and the Cplex solver is called to solve this model. Finally, based on the modified IEEE 33-bus system, the simulation verifies the effectiveness and rationality of the proposed scheduling scheme. © 2020 IEEE.

关键词： Electric load dispatching

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control Strategy for Islanded DC Distribution Network with High PV Penetration 10

Control Strategy for Islanded DC Distribution Network with H...

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10th International Conference on Power and energy systems, ICPES 2020

作者： Liu, Hongzhi Li, Qing Han, Pingping Li, Yan Fan, Yiwen Tian, Xinshou China Electric Power Research Institute China State Key Laboratory of Operation and Control of Renewable Energy Storage Systems Beijing China Hefei University of Technology School of Electrical Engineering and Automation Hefei China

ISBN: (纸本)9781665404945

The extensive emerging of distributed PV power generation and DC loads accelerates the development of DC distribution network. In a DC distribution network, the intermittence of generation of distributed PV causes power fluctuation and the relatively large power load ratio weakens the PV utilization rate. In this paper, a control strategy for DC distribution network is proposed to solve the problems. The DC distribution network is connected to the main AC distribution network via a voltage source converter (VSC), and a battery storage system is employed to smooth the power fluctuation. In the grid-connected operation, the battery stabilizes the voltage of the DC distribution network while the VSC outputs constant power to the AC network. In the islanded operation, the battery controls the DC network voltage according to its state of charge (SOC) level. A new load shedding strategy is developed based on the DC voltage level to assure the power supply to the critical loads as long as possible. PSCAD/EMTDC is used for modeling and simulation. The simulation results verified the effectiveness of the proposed control strategy. © 2020 IEEE.

关键词： Charging (batteries)

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FDCA-DSTGCN: A Wind Farm Cluster Power Day-ahead Prediction Model Based on Frequency Domain Information Gain and Dynamic Trend Sensing

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IEEE Transactions on Sustainable energy 2025年

作者： Yang, Mao Niu, Jiajun Wang, Bo Huang, Dawei Su, Xin Ma, Chenglian Ministry of Education Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin132012 China China Electric Power Research Institute State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems Beijing100912 China

Accurate wind farm cluster power prediction (WFCPP) is of vital significance for new power systems with large-scale wind power integration. The current WFCPP modeling method ignores the important role of wind direction and frequency domain information, resulting in insufficient use of spatial information and difficult to improve the prediction accuracy. In order to solve the above problems, a day-ahead power prediction model for wind farm cluster power is proposed based on information gain in frequency domain and dynamic trend sensing. Firstly, a cluster division method based on graph theory and progressive fusion of multiple information is proposed, and a virtual information node is set up. Secondly, a method to identify prevailing wind direction under time window is proposed for subsets, and a dynamic weighted directed graph structure is designed based on prevailing wind direction and wind speed. Thirdly, a dynamic spatio-temporal graph convolutional network model with frequency domain gain channel attention mechanism (FDCA-DSTGCN) is proposed to integrate the above information and complete the prediction. Finally, the proposed method is applied to a wind farm cluster in Inner Mongolia of China. Compared with the existing and traditional prediction methods, the normalized root mean square error of the proposed method is reduced by 1.13% -2.15%, which verifies the effectiveness of the proposed method. © 2010-2012 IEEE.

关键词： Mean square error

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Inter-hour direct normal irradiance forecast with multiple data types and time-series

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Journal of Modern Power systems and Clean energy 2019年第5期7卷 1319-1327页

作者： Tingting ZHU Hai ZHOU Haikun WEI Xin ZHAO Kanjian ZHANG Jinxia ZHANG Key Laboratory of Measurement and Control of CSE Ministry of EducationSchool of AutomationSoutheast UniversityNanjing 210096China State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems(China Electric Power Research Institute) Nanjing 210003China

Boosted by a strong solar power market,the electricity grid is exposed to risk under an increasing share of fluctuant solar *** increase the stability of the electricity grid,an accurate solar power forecast is needed to evaluate such *** terms of forecast,solar irradiance is the key factor of solar power generation,which is affected by atmospheric conditions,including surface meteorological variables and column integrated *** variables involve multiple numerical timeseries and ***,few studies have focused on the processing method of multiple data types in an interhour direct normal irradiance(DNI)*** this study,a framework for predicting the DNI for a 10-min time horizon was developed,which included the nondimensionalization of multiple data types and time-series,development of a forecast model,and transformation of the *** atmospheric variables were considered in the forecast framework,including the historical DNI,wind speed and direction,relative humidity time-series,and ground-based cloud *** were conducted to evaluate the performance of the forecast *** experimental results demonstrate that the proposed method performs well with a normalized mean bias error of 0.41%and a normalized root mean square error(n RMSE)of20.53%,and outperforms the persistent model with an improvement of 34%in the nRMSE.

关键词： Inter-hour forecast Direct normal irradiance Ground-based cloud images Multiple data types Multiple time-series

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Ship collision impact on the structural load of an offshore wind turbine

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Global energy Interconnection 2020年第1期3卷 44-51页

作者： Haikun Jia Shiyao Qin Ruiming Wang Yang Xue Deyi Fu Anqing Wang State Key Laboratory of Operation and Control of Renewable Energy&Storage Systems China Electric Power Research InstituteP.R.China

When a maintenance and operations ship is berthing,there is a chance the ship may collide into the wind *** these ships collide into wind turbine structures,this can result in significant changes to the foundation and structure of the wind *** this paper,the structural load of a 4 MW offshore wind turbine was analyzed during a collision with an operations and maintenance *** variations in the wind speeds on hub height,waves,and the sea currents were *** dynamic simulation of the wind turbine was carried out using the test data as the input *** a result,the load condition of the turbine without a collision was ***,the measured turbine load was compared with the simulation *** study shows that the collision of the operation and the maintenance ship increases the bending moments at the tower’s bottom and the blade’s roots.

关键词： Offshore wind turbine Ship collision Offshore experiment Wind-wave-current coupling filed

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Performance Analysis on Hydrogen-Battery Coordination storage for renewable energy Accommodation in Large-Scale Power System

Performance Analysis on Hydrogen-Battery Coordination Storag...

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Smart Power & Internet energy systems (SPIES), International Conference on

作者： Xiaopan Chen Qi Yang Na Meng Yan Cheng Jiang Wu Guanchu Chen MOEKLINNS Xi’an Jiaotong University Xi’an China Xinjiang Key Laboratory of Whole Process Simulation for Power System Electric Power Research Institute of State Grid Xinjiang Electric Power Co. Ltd. Urumqi China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China

energy storage is an effective measure to address the renewable energy curtailment problem in large-scale power systems. However, installing the same type of energy storage has limited improvement to the entire system when the total installed capacity of energy storage is fixed. In this paper, an optimal scheduling method for the hydrogen-battery coordination storage system is proposed to further improve renewable energy accommodation by combining the advantages of different types of energy storage. The coupling relationship between the power grid and the heat grid is also considered a way to reduce energy waste. Case tests based on actual operating data analyze the performance of systems with different energy storage configurations. Results indicate the effectiveness of the proposed method. The optimal installed capacity for hydrogen energy storage and battery energy storage is further researched to provide advice for energy storage planning.

关键词： Couplings renewable energy sources Hydrogen storage Hydrogen Optimal scheduling Power grids Planning

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