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2nd International Conference on Intelligent Science and Technology, ICIST 2019

作者： Chen, Jiyu Hong, Feng Gao, Mingming Chang, Taihua Xu, Liying State Key Laboratory of Alternate Electric Power System with Renewable Energy Sources School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (纸本)9781450371742

Pollutants emissions is strictly controlled in modern power plants, and Nitrogen Oxides (NOx), which is the main contaminants is the exhaust gas. The Selective Catalytic Reduction process (SCR) is commonly used for denitration. For achieving an effective the SCR outlet NOx concentration control, an accurate outlet NOx concentration model is necessary. A model using historical data is proposed, and long-short term memory(LSTM) algorithm is applied, which could describe relevance in time series. The accuracy performances for proposed data-driven model are verified, and root mean square error (RMSE) and mean absolute error (MAPE) for training set are, 0.706 mg/m3 and 1.99%, respectively, which for test set are 1.44 mg/m3 and 2.90%, respectively, The verification reveals that the accuracy for data-driven model is acceptable for control system design. © 2019 Association for Computing Machinery.

关键词： Long short-term memory

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Longitudinal Protection Method based on Voltage Waveform Comparison for AC / DC Hybrid system

Longitudinal Protection Method based on Voltage Waveform Com...

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IEEE/IAS Industrial and Commercial power system Asia (I&CPS Asia)

作者： Hongzhe Zhang Wei Cong Hao Kong Ming Chen Zhen Wei Ministry of Education Key Laboratory of Power System Intelligent Dispatch and Control (Shandong University) Jinan China Qingdao Power Supply Company State Grid Shandong Electric Power Company Qingdao China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143040

When the tie line of the AC/DC hybrid system fails, the change of the electrical quantity on the inverter side is different from that of the traditional infinite AC power source. Sensitivity and reliability of traditional relay protection methods will be affected. A longitudinal protection method for AC / DC hybrid system based on voltage waveform comparison is proposed. The method bases on the conclusion that the waveform characteristics of the reference voltage and the measuring voltage are different in the case of internal and external faults, roughly determine the fault location through the Pearson correlation coefficient. Use longitudinal protection logic to give more accurate judgment results. The simulation results of PSCAD model show that the scheme in this paper can accurately identify the fault of the tie line of the AC/DC hybrid system, and has high reliability and good applicability.

关键词： Voltage measurement Mathematical model Hybrid power systems Inverters Sensitivity Fault location

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Review on Pumped Storage power Station in High Proportion Renewable Energy power system

Review on Pumped Storage Power Station in High Proportion Re...

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IEEE Student Conference on Electric Machines and systems

作者： Bingxin Sun Shuping Tian Jiang He Liande Liu Zhiqiang Wang Jiawei Guo Fei Xu Te Cheng Junhui Li Inner Mongolia Hohhot Pumped-Storage Power Generation Co LTD Hohhot China State Key Lab of Power Systems Tsinghua University Beijing China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Powe University) Jilin China

ISBN: (数字)9781728156224

ISBN: (纸本)9781728156231

Large scale renewable energy, represented by wind power and photovoltaic power, has brought many problems for the safe and stable operation of power system. Firstly, this paper analyzes the main problems brought by large-scale wind power and photovoltaic power integration into the power system. Secondly, the paper introduces the basic principle and engineering construction of pumped storage power station. Thirdly, the paper expounds in detail the current application of pumped storage power station in power system, and finally points out the main problems faced by the development of Pumped Storage power Station and the development trend, so as to provide reference for the construction and operation of pumped storage power station.

关键词： Photovoltaic systems Renewable energy sources Conferences Pumps Wind power generation Market research power systems

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Contaction of Atoms for Outstanding Dielectric Characteristics in Kx-Passivated Polymer Dielectrics

SSRN

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SSRN 2022年

作者： Li, Xiao-Fen Wang, Tian-Yu Liu, Bai-Xin Liu, Jian-Bo Zhang, Gui-Xin Wang, Zhong Lin School of Materials Science and Engineering Tsinghua University Beijing100084 China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China CAS Center for Excellence in Nanoscience Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing100083 China School of Nanoscience and Technology University of Chinese Academy of Sciences Beijing100049 China School of Material Science and Engineering Georgia Institute of Technology AtlantaGA30332 United States

High dielectric characteristics polymer dielectrics are crucial for high-power, high-integration, and high-energy storage density electrical devices and film capacitors. However, polymer dielectrics accumulate much charge during operation, causing local electric field distortion and flashover or breakdown. The deep-level defect state (electron/hole accumulation center) is a fundamental factor affecting dielectric strength. Unfortunately, related research, especially on passivating deep-level defects in polymer dielectrics, is minimal. In this paper, based on experiments and first-principles calculations, it is found that KX (X=F, Cl, Br, I) effectively passivates deep-level defect states in polymer dielectrics. Further analysis of the physical passivation mechanism reveals that the deep-level defect cation passivation principle is the cation dipole effect on polymers. The principle of anion passivation of deep-level defects by suspending anions and cations is the key to producing more stable C covalent bonds. This stable covalent bond transfers the local charge from the C with the lone electron pair that originally contains the hanging bond. Therefore, some transfer occurs and the anion implements effective passivation. This paper addresses the design of high-performance polymer dielectrics, providing a reference for experimental and theoretical analyses. © 2022, The Authors. All rights reserved.

关键词： Passivation

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Research on Fault Early Warning of Wind Turbine Pitch system based on Long Short-Term Memory Neural Network

Research on Fault Early Warning of Wind Turbine Pitch System...

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Chinese Automation Congress (CAC)

作者： Xiongwei Li Guanghua Lv Runze Zhu Gengda Li Zhongwei Lin Wenbin Wang Qingru Cui China Energy New Energy Technology Reserch Institute Co. Ltd Beijing P. R. China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control Computer and Engineering North China Electric Power University Beijing P. R. China

ISBN: (纸本)9781665426480

To reduce the downtime of wind turbine caused by the fault of pitch system that usually has a high failure rate, a fault early warning method based on long short-term memory (LSTM) neural network is proposed. According to the operation characteristics of the pitch system, monitoring parameters recorded by SCADA, such as wind speed, generator speed, rotor speed, wind direction, pitch angle and output power, are utilized to establish the fault early warning model. Compared with the model based on BP neural network, the prediction accuracy of the LSTM model is effectively improved. The weights and thresholds of the LSTM neural network are optimized, and a reasonable threshold is set to determine the fault early warning criterion for the pitch system. To verify the effectiveness of the proposed method, the LSTM model is applied to the fault early warning for a 1.5MW wind turbine pitch system. The results show that the LSTM model can give early warning about two and a half days before the fault occurs, verifying the feasibility of the proposed method.

关键词： Automation Wind speed Neural networks Rotors Predictive models Wind power generation Generators

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Node importance evaluation in power system restoration considering the impact of DC converter station 3

Node importance evaluation in power system restoration consi...

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3rd IEEE International Conference on Energy Internet, ICEI 2019

作者： Hu, Haizhou Wang, Hongtao Yang, Dong Ma, Huan Zhao, Kang Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China Shandong Electric Power Research Institute State Grid Jinan China

ISBN: (纸本)9781728114934

In view of the AC-DC interconnected background, this paper studied the evaluation method of node importance during the grid restoration. Firstly, based on the constraints of DC transmission system start, the processing method for evaluating the electrical property of the converter station was proposed. Next, combined with generator and load capacity, the electrical property index of node was put forward. Then, two indexes were raised from different aspects of power-off network. Finally, with the help of CRITIC weighting method, the three indexes mentioned above were well integrated to identify key nodes. The example showed that this method could not only express the network topology information of the node commendably but also reflect electrical property effectively in current state. © 2019 IEEE.

关键词： Restoration

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Economic power Consumption of Large Industrial Customers under power Market Environment

Economic Power Consumption of Large Industrial Customers und...

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IEEE Student Conference on Electric Machines and systems

作者： Wei Hou Mingqiang Wang Xin Wang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University) Jinan China State Grid Shandong Electric Power Construction Company Jinan China

ISBN: (数字)9781728156224

ISBN: (纸本)9781728156231

With the development of China's power market, more and more large industrial customers are participating in electricity market transactions, and they gradually began to pay attention to economic power consumption issues. Based on real data, this paper analyzes how large industrial customers make the best decisions to lower their electricity payment considering various real characteristics such as order requirement of production lines, specific production process, and continuity of power consumption, etc. The proposed model realizes the economic power consumption by adjusting the daily production schedule of large industrial customers. The feasibility and effectiveness of the proposed model are illustrated by case studies.

关键词： Economics Schedules power demand Production power markets Mathematical model Load modeling

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Modeling and control of Central Air Conditioning Loads for Peak Shaving

Modeling and Control of Central Air Conditioning Loads for P...

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2019 IEEE PES Asia-Pacific power and Energy Engineering Conference, APPEEC 2019

作者： Cheng, Dingyi Zhang, Wen Liu, Meng Intelligent Dispatch and Control of Ministry of Education Shandong University Key Laboratory of Power System Jinan China State Grid Shandong Electric Power Research Institute Jinan China

ISBN: (纸本)9781728108131

Peak shaving can be realized by applying appropriate control on central air conditioning loads due to their large proportion and thermal energy storage characteristics. Simplified model of single central air conditioner is established by analyzing its operating principle. Based on individual model, optimal control model of central air conditioning loads for participating in peak shaving is proposed. Objective is to obtain maximum loads of peak shaving. Constraints take peak shaving and users' comforts into consideration. It should be noted that this optimization model is a mixed integer linear programming and can be solved conveniently. Based on the test platform for central air conditioner, the correctness of individual model can be verified. The effectiveness of optimal control model for peak shaving is verified by simulation results. © 2019 IEEE.

关键词： Integer programming

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Start-up Sequence Optimization of Units and HVDC for Hybrid Multi-Infeed DC Receiving systems

Start-up Sequence Optimization of Units and HVDC for Hybrid ...

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2019 IEEE PES Asia-Pacific power and Energy Engineering Conference, APPEEC 2019

作者： Li, Peng Wang, Hongtao Yang, Dong Ma, Huan Zhao, Kang Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China Shandong Electric Power Research Institute State Grid Jinan China

ISBN: (纸本)9781728108131

Aiming at the problem of unit restoration optimization of hybrid multi-infeed direct current (HMIDC) system, an optimization method for start-up sequence of units and HVDC in HMIDC receiving system with LCC-HVDC and VSC-HVDC participation is proposed. Firstly, the interaction between AC and DC systems in the restoration process is analyzed. Then, the multi-objective optimization model of start-up sequence considering HVDC start-up constraints and operational stability constraints is established. And an algorithm based on fast non-dominated sorting genetic algorithm (NSGA-II) for solving the above model is designed. Finally, the feasibility and effectiveness of the proposed method are verified by using IEEE 39 nodes system as an example. © 2019 IEEE.

关键词： Restoration

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Assessment and Optimization of a Single Flash Geothermal system Recovered by a Trans-Critical Co2 Cycle Using Different Scenarios

SSRN

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SSRN 2023年

作者： Lamagna, Mario Aryanfar, Yashar Hoseinzadeh, Siamak Nastasi, Benedetto Garsia, Davide Astiaso Mohtaram, Soheil Sun, Hong Guang State Key Laboratory of Hydrology-Water Recourses and Hydraulic Engineering International Center for Simulation Software in Engineering and Sciences College of Mechanics and Materials Hohai University Jiangsu Nanjing210098 China Universidad Autónoma de Ciudad Juárez Mexico Department of Planning Design and Technology of Architecture Sapienza University of Rome Rome00196 Italy Department of Earth Sciences and Forecasting Research Center Prevention and Control of Geological Risks China Department of Earth Sciences and Forecasting Research Center Prevention and Control of Geological Risks China School of Energy and Power Engineering University of Shanghai for Science and Technology Shanghai200093 China

Globally, the use of renewable energy, particularly geothermal energy, is rising quickly. Geothermal cycles' low efficiency has repeatedly shown how crucial it is to recover heat lost during these cycles. This study suggests a combined power generation cycle replicating using the EES software environment that combines a single flash cycle with a trans-critical carbon dioxide cycle. The findings demonstrate that, in comparison to the BASIC single flash cycle, the design characteristics of the proposed system are greatly improved. The suggested strategy is then enhanced by employing the genetic algorithm, the Nelder-Mead Simplex method, and the direct algorithm. Separator pressure, steam turbine outlet pressure, and carbon dioxide turbine inlet pressure are three assumed variable parameters, and exergy efficiency is the target parameter. In the default operating mode, the system exergy efficiency is 32.46%, increasing to 39.21% using the genetic algorithm and 36.16% using the Nelder-Mead method and 38.82% using the direct algorithm. © 2023, The Authors. All rights reserved.

关键词： Genetic algorithms

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