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2022 2nd International Conference on Power Grid systems and Green energy, PGSGE 2022

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

In order to effectively evaluate the impact of wind power connection on the operation of the colding-heating-electricity interconnection system, a probabilistic energy flow calculation method based on the semi-invariant method and improved K-means is proposed. First, a colding-heating-electricity joint system model was established. Secondly, based on the semi-invariant method, an improved K-means clustering technique was proposed to solve the problems caused by different input random sample types. Finally, the efficiency of the proposed method is verified by simulation. © Published under licence by IOP Publishing Ltd.

关键词： Wind power

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Short-Term Load Forecasting for Virtual Power Plants Based on Improved Laguerre Orthogonal Neural Network Algorithm

Short-Term Load Forecasting for Virtual Power Plants Based o...

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IEEE Conference on energy Internet and energy system integration (EI2)

作者： Yang Zhang Dong Zhang Jiayin Li Tong Liu Donglai Wang School of Electric Power Shenyang Institute of Engineering Shenyang China Engineering and Technology Research Institute Shenyang Institute of Engineering Shenyang China State Grid Chifeng Electric Power Supply Company State Grid Inner Mongolia East Electric Power Co. Ltd. Chifeng China Key Laboratory of Regional Multi-Energy System Integration and Control of Liaoning Province Shenyang Institute of Engineering Shenyang China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

In this paper, a method for offline analysis of the short-term load method of virtual power plant based on the combination of AR-GARCH model and improved Laguerre neural network combination algorithm (LOBNN) is proposed. Firstly, the combination modelling of optimal AR-GARCH model and improved Laguerre neural network is established. The trained correlation matrix is screened to get the strong correlation factors affecting the load changes, and data preprocessing and correlation analysis are performed. Secondly, the LOBNN model is improved by improving the weights solving algorithm, which is used to enhance the flexibility of the model. Then, a new iterative algorithm is designed to further improve the prediction accuracy of the model, and the new LOBNN model is obtained. Finally, the data are adjusted by substituting the AR-GARCH model and the improved LOBNN model, obtaining two sets of predicted values for the input data, comparing the output multivariate load prediction results with the real values and calculating the loss function, and adjusting the network parameters according to the loss function generation by generation.

关键词： Training Analytical models Machine learning algorithms Load forecasting Neural networks Predictive models Virtual power plants Prediction algorithms Data models Load modeling

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Optimization of integrated energy system for combined cooling, heating and power supply of new energy based on energy storage 2

Optimization of integrated energy system for combined coolin...

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2021 2nd International Conference on Electrical Technology and Automatic control, ICETAC 2021

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

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. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Electric energy storage

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Research on Fault Diagnosis Method of Distributed Power Distribution Network Based on HHT and CNN

Research on Fault Diagnosis Method of Distributed Power Dist...

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第33届中国控制与决策会议

作者： Xiaodong Sun Huanxin Guan Yan Zhao Tieyan Zhang Yuri Wang Bo Yang School of Electric Power Shenyang Institute of Engineering State School of Renewable Energy Shenyang Institute of Engineering Key Laboratory of Regional Multi-energy System Integration and Control Liaoning Province School of Automation and Electrical Engineering Shenyang Ligong University State Grid Zhangye Power Supply Company

Accurate and reliable fault diagnosis is very important for improving relay protection performance and ensuring safe and stable operation of power *** paper presents a fault diagnosis method for distributed power distribution network based on convolutional neural *** fault occurs in the distribution network,FTU acquisition unit is used to sample the fault current and voltage signals of the distribution ***-Huang transform is applied to the fault signal,and a two-dimensional time-frequency energy matrix is *** the time-frequency energy matrix is input into the convolutional neural network to realize the fault type identification of transmission lines in the distribution network with distributed power *** simulation results show that the model in this paper improves the speed of fault diagnosis,makes the model more robust,and can determine and judge fault types more accurately and quickly.

关键词： Power Distribution system with Distributed Power Hilbert-Huang Transform Convolutional Neural Network Fault Classification

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Research on Demand Response Strategy of Integrated energy system Based on Hybrid Particle Swarm Optimization with Roulette Wheel Operator

Research on Demand Response Strategy of Integrated Energy Sy...

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第33届中国控制与决策会议

作者： Shuying Ren Yan Zhao Tieyan Zhang Yuri Wang Lin Tong School of Elecrtic Power Shenyang Institute of Engineering School of Renewable Energy Shenyang Institute of Engineering Key Laboratory of Regional Multi-energy System Integration and Control Liaoning Province School of Automation and Electrical Engineering Shenyang Ligong University Huludao Power Supply Company State Grid Liaoning Electric Power Supply Co.Ltd.

As one of the core elements of the technology base of the smart energy industry,the comprehensive energy system standard plays a link and catalytic role in promoting China's energy equipment manufacturing,the safe and stable operation of power systems,and the industrialization of scientific and technological *** response can play an important role in the consumption of renewable energy in integrated energy *** paper establishes an objective function to minimize the cost of integrated energy system and optimize user power *** the multiple objective functions and constraints,the traditional single objective optimization model can no longer meet the present problem *** view of the demand response in the integrated energy system,a multi-objective optimization method,the hybrid particle swarm algorithm with roulette operator,is *** algorithm can make the game *** partial optimal solution is spread globally to find the optimal scheduling strategy.

关键词： Integrated energy Demand response Particle swarm optimization multi-objective optimization and photovoltaic power generation

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Research on the Strategy of energy Storage system Participating in the Secondary Frequency Regulation of Power Grid Based on Fuzzy control

Research on the Strategy of Energy Storage System Participat...

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第33届中国控制与决策会议

作者： Ya Zeng Yan Zhao Tieyan Zhang Yuri Wang Qianzhi Shao Yuanzhuo Du School of Electric Power Shenyang Institute of Engineering School of Renewable Energy Shenyang Institute of Engineering Key Laboratory of Regional Multi-energy System Integration and Control Liaoning Province School of Automation and Electrical Engineering Shenyang Ligong University Industrial Branch State Grid Liaoning Electric Power Supply Co.Ltd. Fengman Training Center State Grid Xinyuan Company

The continuous development of science and technology has led to great changes in the demand for loads in the power system,placing higher demands on the grid for frequency *** disadvantages of traditional FM generators such as slow response speed and dead zone in frequency modulation are becoming more and more ***,the energy storage system has timely tracking,reversible charging and discharging,and rapid *** auxiliary grid frequency modulation through the energy storage system helps to maintain the active power balance of the power system,improve and increase *** frequency adjustment capability of the system provides reliable support for the safe and efficient operation of the power *** paper first analyses the mechanism of secondary frequency regulation of energy storage assisted power grid and establishes an equivalent model of secondary frequency regulation of thermal power units assisted by energy storage *** addition,an energy storage system-assisted grid secondary frequency regulation control strategy based on double-layer fuzzy control is designed to address the shortcomings of the existing energy storage assisted grid frequency regulation control ***,the simulation analysis of the frequency regulation effect is carried out to verify the rationality and effectiveness of the proposed control strategy.

关键词： Fuzzy control energy Storage system Secondary Frequency Modulation

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Effect of F, V and Mn co-doping on the catalytic performance of TiO 2 -pillared bentonite in the photocatalytic denitration

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Journal of Fuel Chemistry and Technology 2020年第9期48卷 1131-1139页

作者： Shu-qin WANG Jin-meng LI Wen-bo LIU Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and Engineering North China Electric Power University Baoding 071003 China Key Laboratory of Regional Energy System Optimization of Ministry of Education North China Electric Power University Beijing 100084 China

F, V and Mn co-doped TiO 2 -pillared bentonite was prepared by the sol-gel method and characterized by XRD, nitrogen sorption, UV-vis spectroscopy, SEM, etc.; its performance in the photocatalytic denitration of NO was investigated under visible light irradiation at room temperature. The results indicate that the photocatalytic denitration efficiency of F-V-Mn co-doped TiO 2 -pillared bentonite for NO at a concentration of 661 μg/m 3 is approximately 100%; when the concentration of NO increases to 1657 μg/m 3 , the photocatalytic efficiency decreases to 81.9%, which is however 33.8% higher than that over the unpillared F-V-Mn co-doped TiO 2 . The reaction rate constant over the F-V-Mn co-doped TiO 2 -pillared bentonite is twice as high as that over the V-Mn co-doped TiO 2 pillared bentonite; moreover, the F-V-Mn co-doped TiO 2 -pillared bentonite also displays improved resistance against water and SO 2 poisoning. TiO 2 pillars can not only retain the flaky crystal structure of bentonite, but also increase the distance between bentonite layers from 0.667 to 0.710 nm and enhance the adsorption capacity. Meanwhile, the doping elements can inhibit the growth of TiO 2 rutile and reduce the band gap of TiO 2 , which is effective in improving the response to visible light, prolonging the service life, and broadening the application range of TiO 2 for the photocatalytic denitration.

关键词： Co-doped TiO 2 pillared bentonite NO photocatalysis denitration

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Application of improved EEMD algorithm in Low Carbon HVDC transmission line detection

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IOP Conference Series: Earth and Environmental Science 2021年第3期804卷

作者： Ming Gao Jian Xu Graguate Department Shenyang Institute of Engineering Shenyang Liaoning 110136 China Key Laboratory of Regional Multi-energy System Integration and Control of Liaoning Province Shenyang Institute of Engineering Shenyang Liaoning 110136 China

In electronic detection and signal processing, the convenient and practical EEMD algorithm is generally selected. In this paper, the problems of the algorithm in some specific areas are improved. By adding white noise, the white noise is replaced by the white noise with opposite positive and negative amplitude, and the Schmidt orthogonalization theory is used to process each signal to eliminate the influence of modal function and improve the signal quality Anti mode aliasing ability, improve the level of multiple harmonic decomposition.

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A DC-DC converter anti-interference system based on T-S fuzzy sliding mode control

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Journal of Physics: Conference Series 2021年第1期2087卷

作者： Siqi Yu Yan Zhao Yuri Wang Fucai You Jinyu Bai Shenyang Institute of Engineering Shenyang China Key Laboratory of Regional Multi-energy System Integration and Control of Liaoning Province Shenyang China Benxi High-tech Industrial Development Zone Power Supply Branch State Grid Liaoning Electric Power Co. Ltd. Benxi China

With the wide application of switching power supply, the research on its control method has become a hot spot at present, and DC-DC converter is one of the switching power supplies with the highest frequency. However, in daily use, the input voltage of the converter may fluctuate greatly, so it is very important to obtain a stable DC output voltage. Therefore, this paper proposes a nonlinear composite control strategy method based on T-S fuzzy sliding mode control for the system disturbance problem of DC-DC converter. After establishing the T-S fuzzy model, the variable structure control theory is added, and the sliding mode surface and sliding mode control law are designed and their stability is proved by Lyapunov function. The simulation results show that the proposed control method has a good control effect and can keep the system robust.

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Effect of F, V and Mn co-doping on the catalytic performance of TiO2-pillared bentonite in the photocatalytic denitration

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Ranliao Huaxue Xuebao/Journal of Fuel Chemistry and Technology 2020年第9期48卷 1131-1139页

作者： Wang, Shu-Qin Li, Jin-Meng Liu, Wen-Bo Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and Engineering North China Electric Power University Baoding071003 China Key Laboratory of Regional Energy System Optimization of Ministry of Education North China Electric Power University Beijing100084 China

F, V and Mn co-doped TiO2-pillared bentonite was prepared by the sol-gel method and characterized by XRD, nitrogen sorption, UV-vis spectroscopy, SEM, etc.;its performance in the photocatalytic denitration of NO was investigated under visible light irradiation at room temperature. The results indicate that the photocatalytic denitration efficiency of F-V-Mn co-doped TiO2-pillared bentonite for NO at a concentration of 661 μg/m3 is approximately 100%;when the concentration of NO increases to 1657 μg/m3, the photocatalytic efficiency decreases to 81.9%, which is however 33.8% higher than that over the unpillared F-V-Mn co-doped TiO2. The reaction rate constant over the F-V-Mn co-doped TiO2-pillared bentonite is twice as high as that over the V-Mn co-doped TiO2 pillared bentonite;moreover, the F-V-Mn co-doped TiO2-pillared bentonite also displays improved resistance against water and SO2 poisoning. TiO2 pillars can not only retain the flaky crystal structure of bentonite, but also increase the distance between bentonite layers from 0.667 to 0.710 nm and enhance the adsorption capacity. Meanwhile, the doping elements can inhibit the growth of TiO2 rutile and reduce the band gap of TiO2, which is effective in improving the response to visible light, prolonging the service life, and broadening the application range of TiO2 for the photocatalytic denitration. © 2020, Science Press. All right reserved.

关键词： Titanium dioxide

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