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4th IEEE China International Electrical and energy Conference, CIEEC 2021

作者： Wang, Bo Cui, Wei Wang, Cong Xu, Hang China Electric Power Research Institute State Key Laboratory of Operation and Control of Renewable Energy Storage Systems Beijing China Northwest Branch of State Grid Corporation of China Xian China University of Jinan School of Electrical and Engineering Jinan China

ISBN: (纸本)9781728171494

Accurate and fast photovoltaic prediction is of great significance to the economy and safety of smart grid. At present, the existing prediction methods do not consider the correlation between different photovoltaic power stations in the region. In this paper, a regionally distributed photovoltaic ultra-short-term prediction method based on multi-task learning is proposed. Firstly, the LSTM model for photovoltaic prediction is designed, and then the multitask learning is realized through the network parameter sharing mechanism. Due to the full consideration of the correlation between different tasks, the proposed method improves the prediction accuracy. At the same time, the structure of multi-input and multi- output improves training efficiency. An example is given to demonstrate the effectiveness of the proposed method. © 2021 IEEE.

关键词： Long short-term memory

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Optimal Frequency control Parameters Design of Wind Farm Considering Wind Turbine Grouping

Optimal Frequency Control Parameters Design of Wind Farm Con...

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

作者： Jing He Yubo Zhang Songhao Yang Chunyan Li Zhiguo Hao State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China State Key Laboratory of Electrical Insulation and Power Equipment Xi'an Jiaotong University Xi'an China

Wind farms play an increasingly important role in frequency control of the power system, but the identical wind speed assumption is oversimplified for the actual wind speed distribution difference in large-scale wind farms. This paper proposes a method of designing optimal frequency control parameters for wind farms considering wind turbine grouping. Firstly, the influence of wind speed on the frequency control capability of the wind turbine is analyzed and the principle of wind turbine grouping is proposed. Then, the equivalent frequency response model of grouped wind turbines is derived based on the capacity weighted method, which significantly reduces the calculation burden. Finally, to maximize the frequency nadir of the power system, the optimal frequency control parameters of the grouped wind turbines are solved based on the particle swarm optimization algorithm. The simulation results verify the effectiveness of the proposed parameter optimization method, which effectively improves the frequency nadir of the system under the major power shortage disturbance.

关键词： Wind speed Simulation Design methodology Optimization methods System integration Wind farms Frequency response

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Accuracy evaluation method for electromechanical transient model of dynamic reactive power compensation device applied to renewable power station 4

Accuracy evaluation method for electromechanical transient m...

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4th IEEE Conference on energy Internet and energy System Integration, EI2 2020

作者： Zhang, Junjun Zhang, Xiaolin Yao, Guangxiu Dong, Wei Yang, Qingbin Liu, Meiyin China Electric Power Research Institute State Key Laboratory of Operation and Control of Renewable Energy Storage Systems Beijing China

ISBN: (纸本)9781728196060

At present, the grid-connected performance of renewable power stations at home and abroad is evaluated by means of modeling and simulation, and the influence of each component model on the evaluation performance can not be ignored. In renewable power station, the model accuracy of photovoltaic inverters and wind power converters can be evaluated based on the test data of full-condition type, but the dynamic reactive power compensation device can not carry out full-condition type test because of its high voltage level and large capacity, so the model verification can not be carried out accordingly. In this paper, a model accuracy evaluation method of static var generator (SVG) based on hardware-inthe-loop(HIL) test data and model verification is proposed. By establishing a validated HIL test environment, the test data of SVG controller under full-condition power grid disturbance are obtained, and the simulation data are based on test data and evaluation model. The deviation is used to evaluate the accuracy of SVG model, which provides an accurate model support for the grid-connected performance evaluation of renewable power stations. © 2020 IEEE.

关键词： Testing

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Chaos model for photovoltaic power prediction based on laguerre polynomials and information entropy

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Engineering Letters 2021年第4期29卷 1331-1343页

作者： Wang, Bo State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing100192 China

Improvement of the performance, stability and security of power systems is of great significance. In this paper, the mechanisms of chaotic behavior and photovoltaic power predictions are discussed on the basis of phase space reconstruction of chaotic dynamic systems. The analysis shows that photovoltaic power has both chaotic and random components, which is in accordance with the experimental data. By combining the advantages of the orthogonality of Laguerre polynomials and the approximation effect of a local chaos prediction model, a chaos model for photovoltaic power prediction is presented based on information entropy and is applied to replace the Euclidean distance in choosing the weight of the fitting phase points in the reconstructed phase space. The prominent advantage of this method is that it can avoid oscillations resulting from subjectivity and randomness when neighbor phase points are selected. Real photovoltaic power data are used to simulate the proposed model, and the results show that the proposed chaos model for photovoltaic power prediction can greatly improve the precision in power systems. © 2021, International Association of Engineers. All rights reserved.

关键词： Forecasting

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Research on Weight Allocation Method of renewable energy Consumption Responsibility Based on Subjective and Objective Comprehensive Decision-making

Research on Weight Allocation Method of Renewable Energy Con...

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

作者： Meng Na Wang Xiaorong Li Baoju Sun Yong Zhang Jinping State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China State Grid Jilin Electric Power Company Limited Jilin China

In order to improve the enthusiasm of society to consume renewable energy power, in this paper, a weight allocation method of renewable energy consumption responsibility based on subjective and objective comprehensive decision-making is proposed. Based on various factors such as total electricity consumption, renewable energy consumption and profitability, this method adopts the combination of objective calculation and subjective evaluation to determine the weight index of consumption responsibility of various responsibility subjects, which provides a new realization approach and calculation basis for the allocation of consumption responsibility in provincial regions. The proposed method is verified by an example based on the registered market players of a provincial power grid.

关键词： renewable energy sources Power demand Profitability Decision making System integration Production Power grids

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Problems and Technology Development Trends of Hydrogen Production from renewable energy Power Electrolysis -A Review 5

Problems and Technology Development Trends of Hydrogen Produ...

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5th IEEE Conference on energy Internet and energy System Integration, EI2 2021

作者： Song, Xiaoyun Liang, Danxi Song, Jie Xu, Guizhi Deng, Zhanfeng Niu, Meng State Key Laboratory of Advanced Power Transmission Technology Global Energy Interconnection Research Institute Co. Ltd. Changping District Beijing102209 China State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Haidian District Beijing100192 China

ISBN: (纸本)9781665434256

There is a hydrogen production route without carbon emissions, that uses power from renewable sources such as wind and solar energy to generate electricity and then electrolyzes water to produce hydrogen. So it is a clean energy in the true sense, and the hydrogen produced is also called "green hydrogen". Hydrogen production by electrolysis of water is an important way to achieve zero carbon emissions. In the long run, hydrogen production by electrolysis of water is expected to become the main hydrogen production method. Here, two methods were reviewed for hydrogen production: alkaline water electrolysis (AWE) and proton exchange membrane water electrolysis (PEMWE). Also technical characteristics and technical development status of hydrogen production by water electrolysis were analyzed. Finally, the key research and development directions of AEW and PEMWE were respectively proposed. © 2021 IEEE

关键词： Hydrogen production

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Comparison of two types of persistent heavy rainfall events during sixteen warm seasons in the Sichuan Basin

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Atmospheric and Oceanic Science Letters 2021年第6期14卷 48-53页

作者： Yuanchun Zhang Jianhua Sun Luqi Zhu Huan Tang Shuanglong Jin Xiaolin Liu Key Laboratory of Cloud-Precipitation Physics and Severe Storms(LACS) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina College of Atmospheric Sciences Lanzhou UniversityLanzhouChina State Key Laboratory of Operation and Control of Renewable Energy&Storage Systems China Electric Power Research InstituteBeijingChina Electric Power Meteorology State Grid Corporation Joint Laboratory(CEPRI) BeijingChina

Based on hourly precipitation from national surface stations,persistent heavy rainfall events(PHREs)over the Sichuan Basin(SCB)are explored during the warm season(May to September)from 2000 to 2015 to compare synoptic circulations and maintenance mechanisms between different PHRE *** are two main types of PHREs:one is characterized by a rain belt west of 106°E over the SCB(WSB-PHREs),and the other features a rain belt east of 106°E over the SCB(ESB-PHREs).In total,there are 18 ESB-PHREs and 10 WSB-PHREs during the study ***,the rain belts of WSB-PHREs are along the terrain distribution east of the Tibetan Plateau,while the precipitation intensity of ESB-PHREs is *** the two types of PHREs,the shortwave trough over the SCB and the western Pacific subtropical high act as their favorable background environments,particularly for *** water vapor of WSB-PHREs is mainly transported from the South China Sea,whereas for ESB-PHREs the South China Sea and Bay of Bengal are their main moisture *** composite vorticity budgets of southwest vortices during their mature stage indicate that the convergence effect is a dominant factor for maintaining the two types of PHREs,and the strong vertical vorticity advection is also favorable,but the relative contribution of vertical advection is larger for WSB-PHREs.

关键词： Southwest vortex Persistent heavy rainfall event Large-scale circulation Vorticity budget

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Optimized operation method for AC-DC hybrid microgrid considering Dynamic efficiency and Maximum absorption power of battery

Optimized operation method for AC-DC hybrid microgrid consid...

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Informatics, Networking and Computing (ICINC), International Conference on

作者： Wei Dong Xiaolin Zhang Guangxiu Yao Jiazhi Lei Zhao Liu State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China School of Automation Nanjing University of Science and Technology Nanjing China

As an important part of AC-DC hybrid microgrid, battery energy storage systems (ESSs) can improve the flexibility and economy of system operation. This paper presented an optimized operation method for AC-DC hybrid microgrid considering the dynamic efficiency and maximum absorption power of vanadium redox flow battery (VRB). Firstly, the model of dynamic efficiency and maximum absorption power for VRB ESSs were respectively established. And then, the structure of AC-DC hybrid microgrid was designed and the operation optimization method of AC-DC hybrid microgrid was reasonably constructed. Finally, the proposed optimized operation method for AC-DC hybrid microgrid was solved by particle swarm optimization. Case studies showed that dynamic efficiency and maximum absorption power of VRB ESSs have a great influence on the operation of AC-DC hybrid microgrid.

关键词： Absorption systems operation Optimization methods Microgrids Vanadium Redox Hybrid power systems

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Analysis of Voltage Violation Based on Extreme Value Theory

Analysis of Voltage Violation Based on Extreme Value Theory

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

作者： Liwen Sun Han Wu Na Meng Smart Grid Insititute Nanjing Insititute of Technology Nanjing China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Nanjing China

In this paper, we present a novel method about voltage violation for distribution networks under high stochastic load penetration. The proposed method combines extreme value theory (EVT) with Cornish Fisher series and semi invariants. In this method, the generalized extreme value (GEV) distribution directly fits the node injection load which avoids the influence of the correlation between various loads, and has the characteristic of small data demand. The efficacy of the proposed approach has been illustrated by an example analysis in the IEEE33 node system.

关键词： renewable energy sources Stochastic processes Voltage Distribution networks Tail Probability distribution Numerical models

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Rapid power system operation risk assessment considering the correlation of wind generation 1

Rapid power system operation risk assessment considering the...

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1st IEEE China International Youth Conference on Electrical Engineering, CIYCEE 2020

作者： Bai, Jie Wang, Jing China Electric Power Research Institutes State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems Beijing100192 China

ISBN: (纸本)9781728196596

With the increasing penetration of wind power generation, the operation reliability of the power system would be significantly impacted due to the uncertainty and volatility of wind generation. Therefore, this paper proposes a method of rapid power system operation risk assessment considering the correlation of wind generation. Firstly, a wind power scenario-constructing approach is presented. The proposed approach employs the Latin hypercube sampling to construct wind power generation scenarios while considering the correlation of wind generation. Then, the risk-oriented benefit function is adopted to evaluate the risk indices of the constructed scenarios. In order to improve the computation performance, a searching method based on the steady-state security region is applied to avoid redundant calculation of a large number of secure scenarios. The method is validated on a modified IEEE 30-bus system, and the simulation results verify that the proposed method is feasible and applicable. The computational performance of the method is also examined. © 2020 IEEE.

关键词： Wind power

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