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Vertically integrated outdoor in-site line protection based on SoC technique

全球能源互联网（英文版） 2019年第2期1卷 179-186页

作者： Tonghua Wu Yuping Zheng Yutao Qiu Xiaoping Zhang Gang Yao Jimin Chai Xiaofan Hou College of Energy and Electrical Engineering Hehai University Nanjing 210098 China NARI Group Corporation/State Grid Electric Power Research Institute Nanjing 211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing 211106 China State Grid Zhejiang Electric Power Corporation Hangzhou 310007 China Electrical and System Engineering University of Birmingham Birmingham B152TT UK NARI Group Corporation/State Grid Electric Power Research Institute Nanjing 211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing 211106 China College of Energy and Electrical Engineering Hehai University Nanjing 210098 China

By focusing on the problems of speed, reliability, operation and maintenance in the practical application of line protection in conventional and smart substations, we propose system architecture and a technical scheme for in-site (similar in meaning to on-site or near-process) line protection based on vertical integration and outdoor installation. The functions of the single-bay merging unit, relay protection, and intelligent terminal are vertically integrated to reduce the number and types of devices, simplify the configuration, reduce signal transmission, and shorten the protection action time. In addition, this vertically integrated device is applied to provide data acquisition and control execution support for substation-area protection, security and stability of devices, and other substation-area devices. The vital performance outputs are tested and compared. Finally, the experimental results verify that the proposed scheme is feasible and the technology is advanced.

关键词： Line protection In-site relay protection Merging unit Vertical integration

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A Semi-smooth Projected Levenberg-Marquardt power Flow Method to Cope With the Constraints Exchange Issue

A Semi-smooth Projected Levenberg-Marquardt Power Flow Metho...

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

作者： Yuntao Ju Jiankai Wang Zifeng Zhang Jianhua Chen Mingyu Dong Dezhi Li Kun Shi Haibo Zhang College of Information and Electrical Engineering China Agricultural University Beijing China Power control center State Grid Jibei Electric Power Company Beijing China Beijing Key Laboratory of Demand Side Multi-Energy Carriers Optimization and Interaction Technique Beijing China China Electric Power Research Institute Beijing China The State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China

ISBN: (数字)9781728131375

ISBN: (纸本)9781728131382

In the conventional power flow (PF) calculation, when using the PV-PQ bus switching to deal with the problem of the generator buses reactive power limits violation for power systems, this method may cause the power flow calculation to fail. If using the Fischer-Burmeister (FB) function to handle constraint exchange issues, then using the Newton-Raphson (NR) method to solve PF, this operation will lead to a slow convergence. In this paper, a semi-smooth projected Levenberg-Marquardt (PLM) power flow method based on the FB function to deal with the constraints exchange issues is proposed. This method can change the search direction when the constraint exchange positions are at sharp corners, and adjust the size of the trust region to prevent the power flow from divergence due to excessive step size in the iterative process, thus improving convergence and reliability. Furthermore, the traditional power flow calculation method is sensitive to the initial value, which may cause the PF divergence, however the method of PLM proposed in this paper is globally convergent, which is not sensitive to the initial value. Numerical tests implemented on a small 3-bus network and a modified IEEE 118-bus system show that the proposed method is more efficient and robust than existing methods.

关键词： Load flow Convergence Reactive power Mathematical model Optimization Generators

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Modeling and Analysis of Industrial power Load Based on Measured Data

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Journal of Physics: Conference Series 2020年第2期1601卷

作者： Zhang Yan Wang Huajia Yu Danwen Zhang Gaofeng Li Weichao State Grid Shandong Electric Power Research Institute Jinan 250003 China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan 250061 China

With the rapid development of electronic technology, the construction of smart grids has been accelerated. Establishing an accurate load model is of great significance to the stability of distribution network system. Some large-capacity installations with more harmonics and impact, such as electric arc furnaces and wind farm are connected to the grid, which has a serious impact on the power quality of the distribution network. This paper adopts a method of industrial load modeling based on the fitting of measured data, selects electric arc furnace and aluminum rolling mill as typical industrial loads, establishes its model through fitting the measured data, which proves the reliability and accuracy of the load model.

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Chinese Named Entity Recognition in power Domain Based on Bi-LSTM-CRF

Chinese Named Entity Recognition in Power Domain Based on Bi...

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作者： Zhenqiang Zhao Zhenyu Chen Jinbo Liu Yunhao Huang Xingyu Gao Fangchun Di Lixin Li Xiaohui Ji School of Information Engineering China University of Geosciences Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology(China Electric Power Research Institute) Big Data Center State Grid Corporation of China Power Dispatching and Control Center State Grid Corporation of China Institute of Microelectronics Chinese Academy of Sciences

Efficient recognition of proprietary entities is an important basic work for text data mining and intelligent application in power *** power domain Named Entity Recognition(NER) methods rely on feature engineering seriously,which unable to learn power entity features *** order to learn entity features automatically and extract power domain named entities efficiently,a model based on Bidirectional Long Short-Term Memory Neural Networks(Bi-LSTM) and Conditional Random Field(CRF) was proposed in this *** representations were fed into the neural networks as an additional feature and Skip-gram embeddings were trained on power domain *** results showed the precision rate reaches higher than 88.25% and the recalling rate reaches higher than 88.04%,which confirm the method based on BiLSTM and CRF is effective for named entity recognition in the power domain.

关键词： Named Entity Recognition power Domain Bi-LSTM CRF

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Coordination of Electricity and Heat Dispatch Strategy Combining Carbon Trading and Peak Shaving Compensation Mechanism

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Journal of Physics: Conference Series 2020年第1期1578卷

作者： Weichun Ge Zhao Li Dong Zhao Zhenyu Li Qing Ye Yu Fu Na Yu State Grid Liaoning Province Electric Power Company Limited Shenyang 110006 China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin 132012 China Fuxin Power Supply Company of Liaoning Electric Power Co. Ltd Liaoning Fuxin 123000 China

Integrated power generation group's participation in the carbon trading market and peaking auxiliary service market is one of the effective ways to promote low carbon power development and wind power consumption. Aiming at the serious problem of wind abandonment during the low temperature period of winter heating period in Northeast China, a multi-market mechanism is proposed. The carbon trading is analysed. Firstly, and the regional peak demand optimization model based on multi-scenario stochastic programming and the maximum wind power acceptance power calculation model of regional power grid is constructed to calculate the peak shaving demand and existing peak shaving in each period of the regional power grid. Maximum wind power acceptance under resources; Based on the coordination of carbon quotas among power generation groups and the subsection compensation mechanism of compensated peak shaving costs, and aiming at the minimum sum of total coal consumption costs, wind abandonment penalties and compensation costs, integrated dispatching model considering carbon trading and peak shaving compensation is established. Finally, an example is given to verify the rationality and effectiveness of the proposed strategy.

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Space Charge Behavior in AC Electrically Aged Low-Density Polyethylene Films 2

Space Charge Behavior in AC Electrically Aged Low-Density Po...

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2nd IEEE International Electrical and Energy Conference, CIEEC 2018

作者： Cheng, Zixia Shi, Jinxing Zhang, Ling Zhou, Yuanxiang Lu, Zekai Guo, Shaowei School of Electrical Engineering Zhengzhou University Zhengzhou450001 China State Key Lab of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing100084 China School of Electrical Engineering Xinjiang University Urumqi830047 China Electric Power Research Institute State Grid Jibei Electric Power Company Beijing100045 China

ISBN: (纸本)9781538653913

In order to study the effect of AC aging on space charge characteristics of low-density polyethylene (LDPE) films, an AC electric field of 50 kV/mm (peak value) was adopted for the accelerated aging test and space charge measurements of AC aged LDPE films were carried out subsequently. The results show that no significant space charge accumulation in the LDPE samples aged under a 50 kV/mm AC electric field. It can be seen that a significant positive space charge accumulation occurs inside the sample, when DC electric fields were applied to the AC aged LDPE samples. The long-term AC aging also causes more and deeper cracks on the surface of LDPE samples. Moreover, AC aging promotes the oxidation reaction of LDPE. The longer the aging time, the higher the degree of oxidation. On this basis, the probable relationship between space charge characteristics and material physicochemical properties of LDPE during AC electrical aging is clarified. © 2018 IEEE.

关键词： Electric space charge

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Optimization of integrated energy system for combined cooling, heating and power supply of new energy based on energy storage

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Journal of Physics: Conference Series 2021年第1期2121卷

作者： Tieyan Zhang Junbao Yang Yaru Wang Min Li Dawei Zhang Yuri Wang Shenyang Ligong University Shenyang Institute of Engineering Key Laboratory of Regional Multi-energy System Integration and Control of Liaoning Province GD Hefeng Wind Power Development Co. Ltd. Liaoning Shengfang Electric Power Technology Co. Ltd. Benxi High-tech Industrial Development Zone Power Supply Branch State Grid Liaoning Electric Power Co. Ltd.

With the development of science and technology, people also pay more and more attention to the development of new energy. Although there are also many studies on integrated energy systems now, integrated energy systems containing energy storage should also be further studied. This paper proposes an optimization of integrated energy system for combined cooling, heating and power supply of new energy based on energy storage, which analyzes the gas turbine, absorption refrigerating machine, electric refrigerator, photovoltaic power generation units, wind turbine and the work characteristics of the energy storage device. In this paper, an integrated energy system optimization model of new energy cogeneration with energy storage equipment is established. An example shows that the integrated energy system with energy storage can effectively solve the independent decoupling operation relationship among cool, heat and electricity. At the same time, the proposed model can also solve the energy interaction among cool, heat and electricity. In this way, the optimal operation of the integrated energy system can be realized.

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Study on Hardware-in-the-loop Model and Low Voltage Ride-through Characteristics of Photovoltaic power Station

Study on Hardware-in-the-loop Model and Low Voltage Ride-thr...

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IEEE Electronic power Grid (eGrid)

作者： Liqiang Wang Bin Cao Qi Wang Yu Cong Haiyan Wu Zhang Xiaolin Institute of New Energy Technology Inner Mongolia Electric Power Research Institute Hohhot China Institute of Electric Power System Technology Inner Mongolia Electric Power Research Institute Hohhot China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China

ISBN: (数字)9781728157047

ISBN: (纸本)9781728157054

In order to prevent large-scale disconnection accidents of photovoltaic power stations caused by voltage fluctuations and faults in power grids, low voltage ride-through characteristics and other detection tests are needed when photovoltaic power stations are connected to power grids. At present, field test and type test are the main methods of detection, but due to the limitation of detection devices and test conditions, the evaluation of low voltage ride-through characteristics of photovoltaic power stations still remains in the single-machine detection mode, which ignores the interaction between photovoltaic inverters and inverters, inverters and static var generator(SVG) devices. The test results cannot truly reflect the low voltage traversing characteristics of the photovoltaic power stations. Using RT-LAB hardware-in-the-loop simulation platform, real photovoltaic inverters and SVG controllers are introduced to build simulation models of photovoltaic power stations. The differences between single-machine detection of photovoltaic inverters and reactive power compensation devices and low-voltage ride-through characteristics detection of the whole station are compared and studied. The simulation results show that, compared with the stand-alone test, the whole station simulation modeling test method can reflect the voltage rise caused by the reactive power characteristics of photovoltaic inverters and SVG devices after the drop, and more truly reflect the low voltage traversing characteristics of photovoltaic power stations.

关键词： Inverters Photovoltaic systems power system stability Low voltage Computational modeling

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Soft-sensing of NOx content in power Station based on BP Neural Network, RBF Neural Network and PCA-RBF Neural Network

Soft-sensing of NOx content in power Station based on BP Neu...

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2018 International Conference on Manufacturing Technology, Materials and Chemical Engineering, MTMCE 2018

作者： Hu, Peitao Changliang, Liu School of Control and Computer Engineering North China Electric Power University Baoding Hebei071003 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Changping District Beijing102206 China

The timely and accurate measurement of the NOx content of the power plant denitrification system is very important for the precise regulation of the amount of ammonia and the control of the NOx emission. In this paper, we use 660MW coal-fired units as the research object. Combined with consideration of the poor accuracy and hysteresis of NOx measurement, the prediction models are established respectively by using RBF neural network, BP neural network and PCA-RBF neural network. The PCA-RBF model is based on principal component analysis (PCA) and RBF neural network. In order to improve the accuracy of the NOx soft-sensing model, this paper simplifies the sample model by optimizing the data samples, reducing the redundant information, and using dynamic neural network to achieve more accurate and faster training model. The results show that RBF neural network is superior to BP neural network in prediction accuracy and speed, while the improved and optimized PCA-RBF model has better prediction accuracy than the RBF neural network model. At the same time, this paper provides a theoretical basis for the real-time and accurate measurement of NOx content in power station, and provides some reference for improving the measurement and control of NOx in the actual production process. © Published under licence by IOP Publishing Ltd.

关键词： Principal component analysis

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Modeling of the Steam Pressure in Separator of a Once-through Unit Based on the ANN

Modeling of the Steam Pressure in Separator of a Once-throug...

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2018 International Conference on Manufacturing Technology, Materials and Chemical Engineering, MTMCE 2018

作者： Li, Yingqi Liu, Changliang School of Control and Computer Engineering North China Electric Power University Baoding Hebei071003 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Changping District Beijing102206 China

It is challenging and interesting to establish a precise steam pressure in separator dynamic model of a once-through power plant unit in order to meet large scale load demands from the power grid and the needs of the engineering research. Steam pressure reveals the energy balance of boiler and turbine. This study proposes to establish such a steam pressure in separator mathematical model of a once-through boiler-turbine unit under dry operating conditions. Then the BP neural network model and the RBF neural network model were used to predict the steam pressure in separator, combined with running data. Moreover, in order to improve the performance of the network, the exhaustive method is used to optimize the parameters of the RBF network. After this, to further enhance model performance, the dynamic mathematical model was extended to be the one with different sets of parameters under different load ranges. More importantly, the dynamic model captures the essential dynamic characteristics of the unit. Therefore, the model can be feasible and applicable for simulation analysis and testing control algorithms. © Published under licence by IOP Publishing Ltd.

关键词： Separators

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