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2019 International Conference on Sensing, Diagnostics, Prognostics, and control, SDPC 2019

作者： Qin, Ce Gao, Mingming Zhang, Hongfu North China Electric Power University State Key Laboratory of Alternate Electric Power System with Renewable Energy Sources School of Control and Computer Engineering Beijing China

ISBN: (纸本)9781728101996

performance evaluation method for the combustion system in the variable load process of circulating fluidized bed (CFB) unit based on the minimum variance control is proposed. Each operating parameter are initially weighted according to the dynamic economic index of the operating parameters, and entropy weight method is used to adjust the weights of operating parameter under different operating conditions. Then, the minimum variance index based on comprehensive economic and entropy weight method is proposed to evaluate the performance of the combustion system of CFB unit, which reduces the polarization effect generated by the single weighting performance evaluation method and improves the objective scientificality of the operating parameter weighting. Finally, a case study on the combustion system of a 300MW CFB unit reveals that the minimum variance index based on the comprehensive economy and entropy weight method can better evaluate the performance of the combustion system in the dynamic process of the unit, compared with the traditional performance evaluation method. It is of great significance to the operational safety and economy of CFB boiler units. © 2019 IEEE.

关键词： Economics

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A Resilience Enhancement Scheme of Cyber-Physical power system for Extreme Natural Disasters

A Resilience Enhancement Scheme of Cyber-Physical Power Syst...

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Sustainable power and Energy Conference (iSPEC)

作者： Tianhao Liu Runjia Sun Yutian Liu Chunyi Wang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Grid Shandong Electric Power Company Jinan China

ISBN: (数字)9781728191645

ISBN: (纸本)9781728191652

Extreme disasters seriously threaten power system security and stable operation. power system resilience is an important means to evaluate the system response to low probability and high impact events. This paper proposes a resilience enhancement strategy based on cyber physical power system to cope with extreme natural disasters and restore the power system. At first, a defense framework for natural disaster is given to show stages and techniques used in resilience enhancement strategy. Secondly, a zone division based power flow adjustment method is proposed to adjust the transmission power with high failure probability, which can reduce the risk of cascading failures. Finally, two resilience evaluation functions considering load restoration and equipment restoration are proposed respectively to guild collaborative communication lines and transmission lines restoration. simulation results of the New England 39-bus test system demonstrate the effectiveness.

关键词： power transmission lines simulation power system protection Collaboration power system stability power system faults Resilience

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Energy Storage Sizing Based on Asymmetric Copula for Wind Farm to be Black-Start Source

Energy Storage Sizing Based on Asymmetric Copula for Wind Fa...

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Sustainable power and Energy Conference (iSPEC)

作者： Weipeng Liu Yutian Liu Chunyi Wang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Grid Shandong Electric Power Company Jinan China

ISBN: (数字)9781728191645

ISBN: (纸本)9781728191652

In local power grid with high wind power penetration, using wind farm (WF) with energy storage system (ESS) as black-start (BS) source will significantly accelerate the restoration after blackout. For enabling WF to be a reliable BS source, an ESS sizing method based on asymmetric copula function is proposed, aiming mainly at smoothing WF output power during the process of starting up generator unit. To model the asymmetric correlation between ESS power sizing and capacity sizing, the joint probability distribution is built by asymmetric copula function. The most suitable copula function is determined by maximum likelihood estimation and a goodness of fit test. Considering sample variation, the parametric bootstrap method is applied for the confidence intervals of dependence parameter estimation. A case study with real WF data demonstrates that the proposed asymmetric copula function is more accurate and ESS sizing cost is lower consequently.

关键词： Maximum likelihood estimation power smoothing Wind farms Wind power generation Probability distribution Generators Energy storage

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Oxygen Vacancy-Induced Spin Polarization of Tungsten Oxide Nanowires for Efficient Photocatalytic Reduction and Immobilization of Uranium(Vi) Under Simulated Solar Light

SSRN

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SSRN 2022年

作者： Yang, Xudong Li, Fan Liu, Wen Chen, Long Qi, Juanjuan Sun, Weiliang Duan, Tao Sun, Fengbin College of Environmental Sciences and Engineering The Key Laboratory of Water and Sediment Sciences Ministry of Education Peking University Beijing100871 China The Key Laboratory of Resources and Environmental System Optimization Ministry of Education College of Environmental Science and Engineering North China Electric Power University Beijing102206 China International Joint Laboratory for Regional Pollution Control Ministry of Education Peking University Beijing100871 China Department of Civil and Environmental Engineering Louisiana State University Baton RougeLA70803 United States State Key Laboratory of Environment-friendly Energy Materials Southwest University of Science and Technology Sichuan Mianyang621010 China Institute of Urban Meteorology China Meteorological Administration Beijing100089 China

Tungsten oxide nanowires (WO3-x) with rich oxygen vacancies (OVs) were fabricated through a facile hydrothermal method, which had both high adsorptive capability and photocatalytic activity. 95.1% of total U(VI) (C0 = 10 mg/L) was removed by WO3-x at pH 5, and 79.9% was transformed to U(IV) to achieve reductive immobilization after photocatalysis under simulated solar light. Band structure and optical characterizations indicated WO3-x had narrower band gap energy, but higher charger carrier separation and transfer rates compared with conventional WO3. Density functional theory (DFT) calculations further demonstrate the spin polarization state electrons of W 5d in WO3-x due to the construction of OVs, thus greatly inhibiting recombination of electron-hole pairs. In addition, the electron density increases in WO3-x and the photogenerated e– in the conduction band of WO3-x has higher reduction ability than WO3, leading to more efficient electron transfer from WO3-x to UO22+ after photo-excitation for U(VI) reduction. © 2022, The Authors. All rights reserved.

关键词： Tungsten compounds

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Prediction model of SCR outlet NOx based on LSTM algorithm 2019

Prediction model of SCR outlet NOx based on LSTM algorithm

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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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Application Research of Chaotic Binary Particle Swarm Optimization Algorithm in Dynamic Spectrum Allocation

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Journal of Computers (Taiwan) 2020年第4期31卷 288-299页

作者： Teng, Zhi-Jun Xie, Lu-Ying Chen, Hao-Lei Zhang, Hua Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology China Ministry of Education[Northeast Electric Power University China Jilin 132012 China School of Electrical Engineering China Northeast Electric Power University China

Dynamic spectrum allocation (DSA) in cognitive radio system has become a hot topic to solve the spectrum scarcity. Particle swarm optimization (PSO) has shown great flexibility in solving the spectrum allocation problem, and many related studies have been proposed. However, there is still room for improvement in the problem that PSO will have a slow convergence rate in the DSA and the latter particle search is easy to fall into the local optimum. In this paper, a dynamic time-varying spectrum allocation scheme based on chaotic binary particle swarm optimization is proposed. The improved algorithm introduces the idea of chaotic map to optimize the initial population and the optimal position of each generation of particles, and utilizes the global ergodicity of chaotic map to overcome the shortcomings of the algorithm. Based on the graph theory model, a mathematical model of dimensionality reduction spectrum allocation is built to realize DSA for users. The experimental results show that the convergence time cost of the improved algorithm is low, and the higher network rewards can be obtained under different experiments, and the fast and efficient spectrum allocation is realized to satisfy the demands of cognitive radio communication. © 2020 Computer Society of the Republic of China. All rights reserved.

关键词： Cognitive radio

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Method for Single-phase Electric Meter Phase Discrimination Based on Multiple Linear Regression 8

Method for Single-phase Electric Meter Phase Discrimination ...

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8th IEEE International Conference on Advanced power system Automation and Protection, APAP 2019

作者： Zhang, Liqiang Cong, Wei Dong, Gang Sun, Yun Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China State Grid Shandong Electric Power Company Jinan China

ISBN: (纸本)9781728117225

The phase information of single-phase electric meter is crucial to improve the level of load management and the quality of modeling. A method for single-phase electric meter phase discrimination based on multiple linear regression (MLR) is proposed. The MLR equation takes the single-phase electric meter voltage as the dependent variable. Meanwhile, it takes the gateway meter voltage, the gateway meter current and the single-phase electric meter current as the independent variables. Each single-phase meter forms a regression equation with the gateway meter A, B and C respectively. The determination coefficients of the three regression equations are calculated. According to the value of the coefficients, the phase of single-phase electric meter is discriminated. An example is given to analyze the proposed method with actual energy meter reading data. The analysis results show that the proposed method has higher accuracy and reliability. © 2019 IEEE.

关键词： Multiple linear regression

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Wide Frequency Range Suppression of Subsynchronous Oscillation for DFIG Wind Farm Based on Optimal control

Wide Frequency Range Suppression of Subsynchronous Oscillati...

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

作者： Xingyuan Li Peng Zhang Chenyang Han State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China

ISBN: (数字)9781728196060

ISBN: (纸本)9781728196077

The subsynchronous oscillation of wind turbines is affected by many factors in the working environment and conditions and the oscillation frequency has the characteristic of broadband oscillation, which puts forward new requirements for the design of suppressing the oscillation. This paper designs a suppression method of wide frequency range for subsynchronous oscillation of doubly-fed induction generator(DFIG) wind farm based on optimal control. First, the small signal linearized model of the DFIG is established in this paper. Then based on the quadratic index in the optimal control theory, the optimal time control theory is used to determine the weight coefficient of the control variables and the state variables of the quadratic index, then the optimal feedback controller is designed. Finally the simulation shows that the feedback controller designed in this paper has a good suppression effect on the broadband subsynchronous oscillation generated by the DFIG under complicated working conditions. For a more complicated multi-machine system, the controller also has a significant suppression effect on the subsynchronous oscillation.

关键词： Doubly fed induction generators Optimal control Broadband communication Indexes Adaptive control Oscillators Frequency control

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Distortion-based detection of high impedance fault in distribution systems

arXiv

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arXiv 2020年

作者： Wei, Mingjie Liu, Weisheng Zhang, Hengxu Shi, Fang Chen, Weijiang Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan250061 China State Grid Corporation of China

Detecting the High impedance fault (HIF) in distribution systems plays an important role in power utilization safety. However, many HIFs are challenging to be identified due to their low currents and diverse characteristics. In particular, the slight nonlinearity during weak arcing processes, the distortion offset caused by the lag of heat dissipations, and the interference of background noises could lead to invalid of traditional detection algorithms. This paper proposes a distortion-based algorithm to improve the reliability of HIF detection. Firstly, the challenges brought by the diversity of HIF characteristics are illustrated with the experiments in a 10kV distribution system. Then, HIFs are classified into five types according to their characteristics. Secondly, an interval slope is defined to describe the waveform distortions of HIFs, and is extracted with the methods of the linear least square filtering (LLSF) and the Grubbs-criterion-based robust local regression smoothing (Grubbs-RLRS), so that feature descriptions under different fault conditions can be unified. Thirdly, an algorithm, as well as the criteria, is proposed to identify the fault features described by the interval slopes. Finally, the detection reliability of the algorithm is thoroughly verified with field HIF data, and the results show the improvements by comparing it to other advanced algorithms. Copyright © 2020, The Authors. All rights reserved.

关键词： Fault detection

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Multi-objective optimal dispatch method based on source-network-load-storage interaction system for DC distribution network 8

Multi-objective optimal dispatch method based on source-netw...

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8th Renewable power Generation Conference, RPG 2019

作者： Quan, Ran Li, Guoqing Jin, Guobin Liu, Zhao Chen, Qing Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China State Grid Jiangsu Electric Power Co. Ltd. Nanjing China Jiangsu Electric Power Company Research Institute Nanjing China

ISBN: (纸本)9781839531255

The DC distribution network can integrate the photovoltaic power generation system with high efficiency, but the random fluctuation of the photovoltaic output power is strong and there is a problem of PV consumption, which has a certain degree of impact on the economic optimization operation of the system. Therefore, the source-network-load-storage optimization interaction concept is introduced in the DC distribution network. Based on the in-depth analysis of the interactive load characteristics, the interaction load and energy storage technology can be fully utilized to the system to consumpt the photovoltaic. Combined with the features of DC distribution network structure, comprehensively consider the impact of the interactive load and energy storage system collaborative optimization on the system operating cost and power flow distribution, so that both the power generation side and the power side can participate in the resource optimization configuration of the grid operation. A multi-objective optimal scheduling model for photovoltaic DC distribution networks with operational cost, network loss and voltage deviation is established. The simulation example shows that: Collaborative optimization using interactive load and energy storage system can greatly reduce system operating cost, network loss and voltage deviation, effectively improve the level of PV consumption, and realize safe and reliable operation of DC distribution network. © 2019 Institution of Engineering and Technology. All rights reserved.

关键词： Energy storage

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