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37th Chinese control Conference, CCC 2018

作者： Buqiong, Xiao Yan, Li STATE GRID Tibet Electric Power Company Limited Lhasa Tibet850000 China State Key Laboratory of Operation and Control of Renewable Energy Storage Systems Beijing100192 China

ISBN: (纸本)9789881563941

PV power and other clean energy have different characteristics, including PV power is intermittent, random characteristics, unpredictable, unable to participate in the power balance. At the same time, PV power needs the support of solar radiation. The capability of PV power increases with the increase of solar radiation, so it can only generate electricity during the daytime and can not generate electricity at night, and the power generation rate in rainy and snowy days is lower. The power of PV power is greatly affected by the weather and changes faster than the normal load of the power grid. When there is cloud cover in the sky, the PV power capacity will be reduced rapidly by almost 70%. Therefore, analyzing the impact of large-scale PV grid-connected system and its countermeasures is an urgent problem to be solved in the development of PV power. Corresponding research needs to be carried out to ensure the reliable operation of large-scale grid-connected PV grid. In order to ensure the safe and stable operation of the system, the PV power station must meet the corresponding requirements in terms of power grid quality, active power control, voltage regulation, low voltage ride through, frequency stability and safety protection. Based on the influence of cloud cover and sudden changes of weather, this paper studies the situation that the output of PV power will plunge and then rise sharply, based analyzes the time series output characteristics of grid-connected PV power station. The influence of the fluctuation of grid voltage fluctuation and line load rate caused by the change of PV power on the power flow is simulated and analyzed. © 2018 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Time series

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Comprehensive Evaluation of Microgrid Planning Scheme based on AHP- Entropy method

Comprehensive Evaluation of Microgrid Planning Scheme based ...

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2019 IEEE Sustainable power and Energy Conference, iSPEC 2019

作者： He, Jun Yang, Xiao Ling Liu, Yi Huang, Wen Tao Chen, Jun Li, Da Hu Hubei University of Technology Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System Wuhan430068 China Hubei University of Technology School of Electrical and Electronic Engineering Wuhan430064 China Hubei University of Technology Wuhan430064 China State Grid Hubei Electric Power Co. Ltd Wuhan430064 China

ISBN: (纸本)9781728149301

Microgrid has the advantages of low carbon, energy saving and economy. The development direction of distribution network is distribution network with microgrid. In order to evaluate the rationality of microgrid planning comprehensively and scientifically, this paper establishes a comprehensive evaluation index system of microgrid from four aspects: economy, reliability, basic structure of planning and environmental protection. In order to overcome the subjectivity of simple Analytic hierarchy process (AHP), AHP- entropy method is introduced to configure the weights of microgrid indexes, and a comprehensive evaluation method of microgrid planning scheme based on AHP- entropy method is proposed for the first time. Finally, an example of an island microgrid in Zhuhai is taken to verify the feasibility of the proposed method. © 2019 IEEE.

关键词： Analytic hierarchy process

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A Pilot DC Line protection Scheme for Multi-Terminal HVDC grid

A Pilot DC Line Protection Scheme for Multi-Terminal HVDC Gr...

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IEEE power and Energy Society General Meeting

作者： Qiang Huang Guibin Zou Bin Xu Jun Li Shuo Zhang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University) Ji'nan Shandong Province China State Grid Weihai Electric Power Company Weihai Shandong Province China

Pilot protection is indispensable in multi-terminal HVDC grid to ensure its safe operation. This paper proposes a pilot protection method based on voltage polarities of current-limiting reactors at the ends of DC lines. Analysis shows that the voltage polarities of terminal reactors at the two ends of DC lines are both positive when internal fault occurs, while they are opposite for external faults. Based on the aforementioned characteristic difference, a pilot protection criterion is built to distinguish internal fault from external fault. To avoid mal operation of the healthy pole generated by the coupling effect, the fault voltage of current-limiting reactor is integrated, and its polarity can be identified based on the integration value. At last, a four-terminal modular multilevel converter (MMC)-based HVDC grid simulation model is built in PSCAD/EMTDC, and the simulation results verified the effectiveness of the protection method.

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Assessment of Renewable Energy Accommodation Capability Based on Typical Scenario Construction

Assessment of Renewable Energy Accommodation Capability Base...

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IEEE International Conference on Cyber Technology in Automation, control, and intelligent Systems

作者： Xiaocong Zhang Wenda Zhan Ruoying Yu Ning Chen Chen Chen Junjie Fan Xiaocong Zhang and Wenda Zhan are with the State Grid Zhejiang Electric Power Co. LTD Hangzhou China State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Nanjing China Southeast University Nanjing China State Grid Jiaxing Electric Power Supply Company Jiaxing China

ISBN: (数字)9781728107707

ISBN: (纸本)9781728107714

With the rapid growth of renewable energy generation, curtailment condition of wind and photovoltaic power has grown significantly and become a serious problem. In this context, this paper proposes a new method to evaluate renewable power accommodation capability based on typical scenario construction. Improved FCM clustering algorithm is used to screen raw photovoltaic and wind power generation data and construct different generation scene to improving the accuracy and efficiency of computation. The renewable energy accommodation capabilities of different typical scenarios were assessed in this paper. Taking province in east China as an example, renewable power accommodation capabilities of typical scenarios in 2018 are assessed. The simulation results show that the optimization method based on typical scenario construction can promote the efficiency and validity of renewable energy accommodation capability assessment.

关键词： Wind power generation Photovoltaic systems Renewable energy sources Clustering algorithms Indexes Partitioning algorithms

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Fault warning of pitch system of wind turbine based on kernel density estimation

Fault warning of pitch system of wind turbine based on kerne...

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8th Renewable power Generation Conference (RPG 2019)

作者： Xianglong Yang Ming Yang Xiangjun Zeng Yi Zhu Yu Zhou Key Laboratory of Power Intelligent Dispatch and Control (Shandong University) Ministry of Education Jinan 250061 China Economic&Technology Research Institute of State Grid Shandong Electric Power Company Jinan 250021 China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

The pitch system is one of the core components of the wind farm and plays an important role in the safe and stable operation of the wind turbine. This paper presents a study on the fault warning method for pitch system based on kernel density estimation(KDE). After the description of the structure, control principle and monitoring parameters of the wind turbine pitch system, the paper analyzes the correlation of the parameters of the pitch system using the SCADA(Supervisory control And Data Acquisition) data of a wind farm, and establishes a training model under normal working conditions of the pitch angle with the wind speed input, then obtains a confidence interval for the working under the normal operating condition of the pitch angle. Finally, the hypothesis test of Bernoulli binomial distribution is used to judge whether the current working state is abnormal and provide early warning. Through the case verification, the fault warning method of the pitch system based on the kernel density estimation can effectively and accurately predict the fault, which provides a new idea for the subsequent performance analysis of the wind turbine.

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Method of T-connection line parameter estimation in distribution network based on PMU measurement data

Method of T-connection line parameter estimation in distribu...

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8th Renewable power Generation Conference (RPG 2019)

作者： Shu Liu Jinsong Liu Yanruo Hou Tianyu Fang Fang Shi Hengxu Zhang State Grid Shanghai Municipal Power Company Electrical Research Institute Shanghai 200233 China The Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education (Shandong University) 17923 Jingshi Road Jinan PR China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

Real-time analysis of the variation of distribution network line parameters is of great significance to improve the analysis and operation of distribution network. PMU technologies have been applied widely, which provides abundant synchronous measurement data for the distribution network line parameters estimation. In the view of widely existing T-connection line mode in distribution network, a method of T-connection line parameter estimation method based on PMU measurement data is proposed. Considering the asymmetries of three phase line load in distribution network, the single-phase line parameter estimation model based on phase component is used for T-connection line parameter estimation in this paper. The objective function is constructed based on least squares method by the PMU measured phasor voltage and phasor current information. And the Newton iteration method is used to solve the nonlinear equations to estimate the exact line parameters. The dynamic simulation data are produced by PSCAD, which is used to verify the feasibility and accuracy of the proposed method.

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Fault characteristics study of VSC converter and protection design in DC microgrids 2

Fault characteristics study of VSC converter and protection ...

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2nd IEEE International Conference on Energy Internet, ICEI 2018

作者： Xie, Ranran Chen, Qing Zhang, Zhiming Zhou, Shengwen Xi, Chuanxin Wang, Lei Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China Guohua Energy Investment Co. Ltd Jinan China Overhaul Division State Grid HangZhou Power Supply Company HangZhou China Electric Power Dispatch Control Center State Grid Weifang Power Supply Company Weifang China

ISBN: (纸本)9781538641316

DC microgrid is an effective way for grid-connected with distribution generators. However, its development is constrained by the lack of precise fault analysis and valid fault protection scheme. In this paper, cable pole-to-pole and pole-to-ground faults are analyzed in stages with fault circuits and relative equations. The current waveform and process of diodes in voltage-source converter (VSC) is focused on because of its vulnerability. It is demonstrated that diodes conduct simultaneously at the voltage of VSC dc side crossing zero point with inrush current, which may damage VSC severely. Moreover, the impact generated by ac source current to VSC dc-side voltage is studied. It is found that the fault distance, leading to VSC dc-side voltage crossing zero, is shortened. Consequently, the diodes will not conduct simultaneously for terminal faults, which is advantageous for protections designing. Then, the simulation system is established through PSCAD/EMTDC and the correctness of all the analysis is verified. Based on the fault characteristics, non-unit current differential protection combining with directional unit protection is proposed, which provides the possible that both speed and selectivity of protection can be satisfied. © 2018 IEEE.

关键词： Diodes

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Study on Distributed Generation to Improve Stability of Distribution Network Based on Virtual Synchronous Generator Technology

Study on Distributed Generation to Improve Stability of Dist...

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International Conference on Advanced power System Automation and protection (APAP)

作者： Li Yan Tian Xinshou Hu Juan Zhang Zhankui Yu Hui Xiong Xiong Wu Ming Ma Wenyuan China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China Advanced Energy Center State Grid Shanghai Energy Internet Research Institute Co. Ltd Shanghai China

ISBN: (数字)9781728117225

ISBN: (纸本)9781728117232

The distributed integration and local consumption of distributed generation represented by wind energy and solar energy have attracted widespread attention. In recent years, distributed generation has developed rapidly, but at the same time, many new problems have emerged. These problems have threatened the safe and stable operation of power systems in some extent. Compared with the traditional synchronous generator, the distributed generation based on the power electronic converter interface has a very fast response speed and does not have the rotational inertia and damping component inherent to the synchronous generator. When there is too much distributed generation in the system, it will definitely threaten the safe and stable operation of the power system. The generator using the converter has the capability of synchronous inertia, damping, primary frequency, and reactive voltage regulation based on the virtual synchronous generator technology simulates the electromechanical transient characteristics of the synchronous generator. The virtual synchronous generator technology can improve the safe and stable operation capability of the grid after large-scale distributed power integration. This paper provides an introduction about the study on distributed generation to improve stability of distribution network based on virtual synchronous generator technology, and tries to explore virtual synchronous generator control principle for distributed generation with the analysis of impact of distributed generation grid-connected, the distributed generation virtual synchronous generator control is introduced.

关键词： Distributed power generation Generators Synchronous generators power system stability Frequency control Frequency synchronization Wind turbines

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Distributed Energy Storage Optimization Configuration of Active Distribution Network

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IOP Conference Series: Materials Science and Engineering 2020年第1期729卷

作者： Jiang Zhe Wang Liang Huang Xuxiang Han Xueshan Yang Dong Zhou Ning State Grid Shandong Electric Power Research Institute Jinan 250003 China State Grid Shandong Electric Power Company Jinan 250001 China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University) Jinan China

With the high proportion of renewable energy access to the distribution network, the volatility and randomness of renewable energy output will have a serious impact on the distribution network, especially at the peak of renewable power output, the reverse trend phenomenon is obvious. The active distribution network displays the 'power' characteristics externally, which makes the voltage problem and transmission congestion problem in the distribution network very serious. This paper establishes a distributed energy storage optimization configuration model that takes into account the voltage quality, and considers the energy storage operation strategy optimization in the energy storage site selection and volume model, which makes the energy storage configuration more reasonable, improves the voltage quality and enhances the renewable energy consumption capacity, improve the economics of system operation.

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A Deep Learning Based Real-time Load Forecasting Method in Electricity Spot Market

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Journal of Physics: Conference Series 2019年第6期1176卷

作者： Qipei Zhang Jixiang Lu Zhihong Yang Mengfu Tu Nari technology co ltd. Nanjing 211106 China State Key Laboratory of Intelligent power grid protection and operation control Nanjing 211106 China

This paper analyzes the potential influence in Chinese electricity market due to the reform and access of the electricity spot market. On this occasion, a deep learning based model for load forecasting is proposed to improve the market operator's precise scheduling level and assist power retailers in managing bid strategies. Long-Short Term Memory (LSTM) unit is used to modeling, which is one of the most popular techniques of deep learning. In addition, historical power load data and meteorological data of Suzhou and Lianyungang in China from January 2015 to December 2017 are used for the study to training and evaluate forecasting model. As a result, this paper shows the compare results with exiting machine algorithm for load forecasting.

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