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Novel Modular Multilevel Converter Against DC Faults for HVDC Applications

CSEE Journal of Power and energy systems 2017年第2期3卷 140-149页

作者： Xiaofeng Yang Yao Xue Bowei Chen Zhiqin Lin Trillion Q.Zheng Yan Li School of Electrical Engineering Beijing Jiaotong UniversityBeijing 100044China State Key Laboratory of Operation and Control of Renewable Energy&Storage Systems China Electric Power Research InstituteBeijing 100192China

In view of the DC fault current isolation deficiency for the conventional half-bridge sub-module(HBSM)based modular multilevel converter(MMC),this paper presents an improved MMC *** quasi reverse blocking submodules(QRBSMs)and current limit modules(CLMs)are employed to improve the DC fault handling capability for HVDC *** paper analyzes such a new converter configuration and operation *** the DC pole-to-pole short circuit fault is taken into consideration for further study,as well as the fault current blocking mechanism and quantitative relationship between system electrical stress and key *** validate the feasibility of the proposed topology and fault protection theory,extensive simulation results are *** is concluded that the QRB-MMC can effectively block the fault current under DC fault *** addition,CLMs play an important role in further accelerating fault current ***,QRB-MMC employs the original control and modulation strategies under normal operation conditions;thus,it further reduces the complexity of industry design.

关键词： Current limit module DC faults HVDC transmission modular multilevel converter quasi reverse blocking sub-module

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Error and Risk Prediction Based Active Power control for Wind Farms

Error and Risk Prediction Based Active Power Control for Win...

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

作者： Ning Chen Dajun Jiang Minhui Qian Zhengyang Hu Linan Qu Lei Zhang State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Nanjing China Renewable Energy Depatement China Electric Power Research Institute Nanjing China School of Electrical Engineering Southeast University Nanjing China

Due to wind power forecasting error, active power control may not satisfy the control objective. By analysis, the main reason is the asymmetry of power forecasting error. For this, an active power control strategy considering the asymmetry of wind power forecasting error is proposed. Using historical data, wind power forecasting error and its confidence interval are estimated. And confidence interval of wind power forecasting is introduced to establish the optimization model for dispatching active power among wind farms. Then the asymmetry power forecasting error can be compensated by the model. Based on this, operation risk is introduced to optimize the power distribution strategy. Then a simulation is designed using actual data of one wind power base in China. The results show that the proposed strategy is reasonable and effective to improve the performance of active power control of wind power and reduce the risk of power shortage.

关键词： Wind farms Wind power generation Forecasting Power control Wind forecasting renewable energy sources Predictive models

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Analysis of commutation failure of HVDC transmission system with wind farm

Analysis of commutation failure of HVDC transmission system ...

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

作者： Jin Liu Qiao Liu Rongrong Jiang Li Zhang Ruiming Wang School of electrical and Electronic Engineering North China Electric Power University Beijing China State Key Laboratory of Operation and Control of Renewable Energy Storage Systems China Electric Power Research Institute Beijing China

With the increasing shortage of energy resources, wind power has gradually developed and become an emerging environment-friendly source. Now, a large number of electric power generated by wind turbines is transmitted by DC transmission lines, which can better adapt to the characteristics of long distance and large capacity. However, at the same time, the addition of DFIG weakens the stability of the system, and the failure of the transmission system may have a greater impact, causing commutation failure or even blocking. In this paper, the DFIG model is added to the traditional HVDC transmission system, several typical fault conditions are simulated, and whether or not the commutation failure has occurred is analyzed. At the same time, the paper lists the measures taken to reduce the failure of commutation in the current transmission systems with wind farms.

关键词： Inverters Reactive power HVDC transmission Circuit faults Doubly fed induction generators Power harmonic filters Wind turbines

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Research on unintentional off grid characteristics of microgrid

Research on unintentional off grid characteristics of microg...

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IEEE Conference on energy Internet and energy System Integration

作者： Meiyin LIU Bolong SHI Xiaojin LIN Guangxiu YAO Pingping HAN State Key Laboratory of Operation and Control of Renewable Energy Storage Systems China Electric Power Research Institute Beijing China State Grid ZHEJIANG Electric Power Company Hangzhou China HeFei University of Technology Hefei China

With the rapid development of renewable energy generation technology and the influence of government support policies, more and more renewable energy sources are connected to the power grid. However, due to the volatility of wind power and photovoltaic (PV) power, the proportion of high penetration rate will affect the safe and stable operation of the power grid. Microgrid is composed of distributed generation equipment, electricity load, etc. It can realize small power network with basic balance of internal power and electricity. The microgrid is required to maintain voltage and frequency stability and have secure switching function of connecting on/off grid. The transformation of microgrid from grid-connected mode to off-grid mode mainly includes intentional off grid and unintentional off grid. In this paper, studies on the technical specification of grid-connected microgrid, and establishes a grid-connected model of distributed generation. Taking 400V microgrid laboratory as an example, the model of unintentional disconnection of microgrid is established, and the simulation analysis is carried out to verify the accuracy of the model.

关键词： Microgrid Modeling renewable energy Unintentional off grid

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Wind farm HVRT capability improvement based on coordinated reactive power control strategy

Wind farm HVRT capability improvement based on coordinated r...

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6th International Conference on renewable Power Generation

作者： Zhang, Yuandong Li, Qing Zhang, Jinping Qin, Shiyao State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Co. Ltd China Electric Power Research Institute Renewable Energy Center China

Voltage swells after grid fault clearance is one of the major causes of large-scale wind power tripping accidents in China. In this study, reasons that led to overvoltage phenomena were researched, and factors that influence the grid overvoltage during grid fault were quantitatively analysed through simulation. A coordinated reactive power control strategy combined the control of wind turbines with reactive power compensation devices was proposed to prevent the occurrence of high voltage and improve the high-voltage ride through capability of wind power plant. Finally, the effectiveness of the proposed control strategy was indicated by the simulation results in DIgSILENT/ PowerFactory. © 2017 Institution of Engineering and Technology. All rights reserved.

关键词： Electrolysis

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Study on the driving force and challenges of developing power grid with high penetration of renewable energy

Study on the driving force and challenges of developing powe...

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2017 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2017

作者： Jin, Xu Wen, Zhang Weidong, Liu Yan, Li Xinshou, Tian Chao, Liu Linjun, Wei Co. Ltd Beijing China China Electric Power Research Institute State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems Beijing China

ISBN: (纸本)9781538628942

With the increase of energy demand and environmental awareness, It becomes an inexorable trend to develop and utilize renewable energy and to increase the proportion of clean energy in end use energy. The development of power grid in future should not only consider power demand but also accommodate large-scale renewable energy. This paper conducts a study on the development pattern of future power grid including high penetration of renewable energy. The driving force of developing power grid is analyzed though deducting its development process and exploring potential and dominant factor by using the experiences of European countries and USA for reference. Based on the above work, the requirement and challenges of future power grid are explored considering the specific characteristics of power grid development in China, and the key technical problems is figured out. Finally, potential development scenarios are presented regarding future power grid of China. © 2017 IEEE.

关键词： Electric power transmission networks

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Parameter Optimization of Doubly-Fed Induction Generator Based on Intelligent Optimization Algorithm

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IOP Conference Series: Materials Science and Engineering 2019年第5期677卷

作者： Xiangwen Zhang Guanghui Hua Yiran Zhang Linjun Shi State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Nanjing Jiangsu China School of Energy and Electrical Engineering Hohai University Nanjing Jiangsu Province China

The doubly-fed wind power generator control system consists of multiple PI controllers, each of which directly affects the dynamic characteristics of the wind power system. In this paper, a particle swarm optimization algorithm with improved inertia weight is used to simulate and analyze the control system optimized by algorithm. It is found that the improved characteristic curve has the advantages of small overshoot, fast adjustment speed and short adjustment time. The effectiveness and superiority of the particle swarm optimization algorithm for PI controller parameters optimization.

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Research on Optimization Matching of Wind/Solar/Hydro/storage Flexibility Resource System Considering Electric Vehicle Access

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IOP Conference Series: Materials Science and Engineering 2019年第1期486卷

作者： Chunhui Qu Wenwen Sun Siyu Tao Qingshan Xu Bo Yang State Key Laboratory of Operation and Control of Renewable Energy& Storage Systems China Electric Power Research Institute Beijing 100192 China College of Electrical Engineering Southeast University Nanjing 210096 China State Grid Liaoning Electric Power Company Limited Economic Research Institute Liaoning 110015 China

With the development of distributed generation technology and the requirement of power system flexibility, the research on multiple flexible resource optimization is carried out. Based on the traditional optimal configuration of wind-solar-hydro-storage system, this paper takes electric vehicle into consideration. Firstly, the model of each flexible resource is established. Then, a comprehensive evaluation index system is built. Taking the flexible resources in a city on the eastern coast of China as a case, multi-objective grey wolf optimization algorithm and entropy weight method are applied to do the optimization and evaluation. The simulation result shows that in the optimal configuration, not only the renewable resources can be effectively utilized, but also the requirement of load in different period can be meet. Moreover, the total investment can be greatly reduced. In addition, the participation of electric vehicles can not only improve the performance of the hybrid system, but also increase the income of EV holders.

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Short-Term Wind Power Forecasting Based on Spatiotemporal Correlations

Short-Term Wind Power Forecasting Based on Spatiotemporal Co...

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2018 International Conference on Mechanical,Electrical,Electronic Engineering & Science(MEEES 2018)

作者： Jinli Dou Chun Liu Bo Wang State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute

ISBN: (纸本)9781510868755

Wind power forecasting is of great significance for promoting the new energy resources accommodation and the economic efficiency, security and stability of power grid operation. The traditional wind power forecasting model has monotonous elements for input and demonstrates a lack of spatiotemporal correlation between elements. Therefore, a deep neural network model considering space-time correlation is proposed. Firstly, a multi-dimensional space-time data input modeling method is proposed based on meshed numerical weather forecasting. Then, a variety of deep neural network models for wind power prediction are established. Multi-layer CNN(Convolutional Neural Networks) are utilized for feature extraction, meanwhile LSTM(Long Short-Term Memory) networks are used for pattern memory. Finally, the prediction of single station and regional wind power is carried out respectively, which proves the effectiveness and feasibility of the method. The results show that, compared with the traditional single-layer neural network, the deep neural network in this paper can effectively mine the spatiotemporal correlation between data and improve the prediction accuracy of single-station wind power forecasting.

关键词： Short-Term wind power forecasting Deep Neural Network Convolutional Neural Network spatiotemporal correlations

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Statistical Downscaling Precipitation Forecast for Hydropower Industry and Its Calibration Using Frequency Matching Method

Statistical Downscaling Precipitation Forecast for Hydropowe...

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2018 3rd International Conference on Computational Modeling, Simulation and Applied Mathematics (CMSAM 2018)

作者： Xu CHENG Wei-dong CHEN Xie-fei ZHI Shu-su WANG State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute China Electric Power Research Institute Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and Technology

This study deals with high-resolution precipitation forecasts for hydropower industry using a statistical downscaling method based on the linear regression of the categorized daily precipitation forecasts taken from the European Centre for Medium-Range Weather Forecasts(ECMWF), Japan Meteorological Agency(JMA), the US National Centers for Environmental Prediction(NCEP), and the United Kingdom Met Office(UKMO), in the TIGGE archive as well as the quality-controlled precipitation data from China Merged Precipitation Analysis(CMPA). To further improve the forecast skill of the daily precipitation, the calibration of the precipitation forecast has been performed by using a statistical postprocessing approach called the frequency matching method(FMM). The results show that the statistical downscaling forecast skill using categorized precipitation scheme is much larger than that of bilinear interpolation and that using uncategorized precipitation scheme in terms of the equitable threat score(ETS), anomaly correlation coefficient(ACC) and root-mean-square error(RMSE), no matter the precipitation is light rain, moderate rain, or heavy rain and the above. The calibration of the precipitation forecasts using FMM can significantly reduce the false alarm of the light rain and the missing rate of the heavy rain and the above. Hence, it can improve the inflow forecast skill in the hydrological models which make use of observed and predicted precipitation as input variables.

关键词： Precipitation forecast Statistical downscaling FMM Calibration Hydropower

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