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China International Electrical and energy Conference (CIEEC)

作者： Yang Cui Shi Yan Huiquan Zhang Siyu Huang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Ji Lin China

ISBN: (数字)9781728116754

ISBN: (纸本)9781728116761

Wind energy has strong randomness and volatility, which makes the prediction accuracy of wind power low. In an attempt to improve the accuracy and robustness of ultra-short term prediction of wind power, a wind power prediction method in ultra-short term combining chaos theory and artificial bee colony(ABC) algorithm to optimize RBF neural network is studied in this paper. Firstly, based on chaos theory, the historical wind power data with the highest correlation is found, which is used for RBF neural network training after phase space reconstruction. Then, the artificial bee colony algorithm is used to solve the optimal RBF neural network parameters through multiple iterations to construct the optimized neural network model. Finally, considering the uncertainty of the prediction model and data noise, the prediction results are interval, and the robustness of the prediction results is evaluated by calculating the confidence of the corresponding interval. The results of the example show that the method proposed in this paper has good accuracy and robustness.

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power grid frequency regulation participated by photovoltaic generation to adapt to different control modes of grid-side AGC

Power grid frequency regulation participated by photovoltaic...

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8th renewable power Generation Conference (RPG 2019)

作者： Gangui Yan Wenbo Hu Qi Jia Dan Wang Guoqing Zhou Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin 132012 China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

Large-scale grid-connection of photovoltaic (PV) generation causes the power system to face the problem of insufficient inertia and insufficient frequency modulation capability. One of the important means to solve this problem is to take part in grid frequency regulation actively. On the basis of spare certain active power, this paper puts forward the active power-frequency droop control strategy. By modifying the original control structure of the inverter, PV generation actively takes part in the grid frequency primary regulation. In order to achieve non-error adjustment of frequency, this paper further proposes a secondary frequency regulation control strategy that adapts to different grid-side AGC control modes (constant frequency control mode, constant tie line power control mode and tie line power frequency deviation control mode). The effectiveness and feasibility of the control strategies are verified based on the PSCAD/EMTDC simulation platform.

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A novel frequency regulation control strategy based on the external characteristics of PV generation

A novel frequency regulation control strategy based on the e...

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8th renewable power Generation Conference (RPG 2019)

作者： Gangui Yan Dan Wang Qi Jia Wenbo Hu Guoqing Zhou Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin 132012 China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

Large-scale grid-connected PV generation results in the power system facing with the problem of reduced inertia and inadequate frequency regulation capability, which is urgent for PV generation to take participate in frequency regulation. In this paper, the research object is the double-stage PV generation, a novel frequency regulation control strategy based on the external characteristics of PV generation is proposed. f-U PV compensation is introduced into DC low-voltage control loop, which makes the DC low-voltage vary with the grid frequency, thus controlling the output power of PV generation. The influence mechanism of the control strategy on the frequency dynamic process of power system is also analysed based on the frequency response model (SFR). The results show that: the larger the ΔU PV generated by the f-U PV compensation unit, the more power of PV generation can be generated; the control strategy essentially affects the damping coefficient of the system, which not only affects the transient process of the system frequency, but also the steady-state frequency deviation.

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Optimal Capacity Allocation of Integrated Agricultural energy Network with Enhanced Geothermal system Considering Seasonal Differences

Optimal Capacity Allocation of Integrated Agricultural Energ...

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

作者： Yang Si Laijun Chen Xuelin Zhang Xiaotao Chen Handing Dan Shengwei Mei Qinghai Key Lab of Efficient Utilization of Clean Energy(Tus-Institute for Renewable Energy) Qinghai University Xining China Qinghai Xining Power Generation Branch of Huanghe Hydropower Xining China State Key Laboratory of Control and Simulation of Power System and Power Tsinghua University Beijing China

ISBN: (数字)9781728196060

ISBN: (纸本)9781728196077

As an essential direction of agricultural development in the future, the energy demand for facility agriculture varies significantly in different seasons. In this paper, an integrated energy network structure for independent facility agriculture with combined heat and power enhanced geothermal system (CHP-EGS) is proposed. Based on the CHPEGS cogeneration model and stochastic optimization method, the optimal analysis model for capacity allocation of independent facility agricultural integrated energy network is established. Taking the energy supply of facility agriculture in the hot dry rock resource-rich area of the Gonghe basin in China as an example, the optimal allocation scheme and operation characteristics of integrated energy networks for facility agriculture are analyzed considering the difference of seasonal energy consumption. The results show that, under the same capacity configuration, facility agriculture has sufficient energy support in summer, and its income can be increased by expanding the area of greenhouse or developing product processing. In winter, if the basic energy supply-demand of facility agriculture is to be ensured, the emergency heating system should be configured according to about 30% of the maximum heating demand. The optimization model and case analysis can provide meaningful guidance for seasonal energy sources planning of facility agriculture.

关键词： Analytical models Cogeneration Stochastic processes Agriculture Resource management Thermal energy energy storage

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Current Saturation Analysis of Droop controlled Voltage Source Converter

Current Saturation Analysis of Droop Controlled Voltage Sour...

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International Conference on power system technology (powerCON)

作者： Kehao Zhuang Hui Liu Xuekun Cheng Shiyao Qin Pengfei Hu Huanhai Xin College of Electrical Engineering Zhejiang University Hangzhou P. R. China Grid-Connected Operation Technology For Wind-Solar-Storage Hybrid System State Grid Corporation Key Laboratory State Grid Jibei Electric Power Research Institute Beijing China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems) China Electric Power Research Institute Beijing China

ISBN: (纸本)9781665407380

Droop controlled voltage source converters (VSCs) are very sensitive to overloading due to the low current capacity of switching devices, which implies that VSCs must switch from normal voltage control mode to current control mode at faults or load disturbance and therefore occur transient instability. This paper reviews current saturation phenomenon and reason of droop controlled VSCs. In particular, the boundary conditions between current saturation mode and normal mode are analyzed to express VSC’s static active power critical value at normal mode. Then, the influence of grid parameters and control parameters for current saturation is analyzed. Finally, the effectiveness of theoretical analysis is verified in MATLAB/Simulink and hardware-in-the-loop experiments based on RTLAB. The normal unsaturated VSC’s static active power critical value of theoretical calculation is basically consistent with the simulation.

关键词： Current control Switches power system stability Boundary conditions control systems power conversion Voltage control

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Research on Aggregation Model of Wind Farm Based on SSO Complex Torque Coefficient Analysis

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Journal of Physics: Conference Series 2021年第1期1754卷

作者： SU Xunwen CUI Hanqing PEI Yuming ZHANG Dongni AN Pengyu Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China School of Electrical & Control Engineering Heilongjiang University of Science & Technology Harbin Heilongjiang China

In order to study the influence of the clustering aggregation of doubly-fed wind turbines (DFIG) in the wind-fire bundling system on the system subsynchronous oscillation (SSO), the expression of the DFIG output active power on the electrical damping De of thermal power units is first derived. Then the wind-thermal bundling system is built based on the IEEE first bench mark, and the wind farm is aggregated to several groups according to the rated power. The complex torque coefficient method is used to analyze the two cases of the same running state of the wind turbine and the difference of wind speed between the turbine and verified by time-domain simulation. The results show that the difference in wind speed within the DFIG groups has little effect on the system oscillation frequency before and after the aggregation of the wind farm, but there may be a slight error in the electrical damping coefficient before and after the aggregation,but the error does not affect the trend and analysis of damping characteristics of system. When studying the influencing factors of wind-fire bundling system SSOthe aggregated model can be uesd to improve simulation efficiency.

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Electrical Tree Evolution under DC Voltages and Its Differences from AC Trees in Silicone Rubber

Electrical Tree Evolution under DC Voltages and Its Differen...

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Conference on Electrical Insulation and Dielectric Phenomena, (CEIDP)

作者： Yunxiao Zhang Yuanxiang Zhou Ling Zhang Chenyuan Teng Zhongliu Zhou Meng Huang State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China The Wind Solar Storage Division of State Key Laboratory of Power System and Generation Equipment School of Electrical Engineering Xinjiang University Urumqi China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China

Electrical tree is one of the major issues for insulation failure in high-voltage direct current (HVDC) cable. In this paper, electrical tree initiation and growth characteristics of silicone rubber (SIR) are studied by optical tree observation system under DC and AC voltage with varied temperature. Moreover, tree channels are pictured and analyzed by 3D fluorescence imaging technology. Results show that the average tree initiation voltage, whether DC or AC, decreases exponentially with increasing temperature. However, the initiation voltage under positive DC voltages is much higher than that under AC voltages. AC tree growth pattern could be roughly divided into two modes: bush-like growing pattern and pine-like growing pattern, while DC trees stop growing after voltage stabilizes. 3D fluorescence tests show that DC tree branches are sparser and the channels are thinner. Based on the trap theory, mechanism of DC electrical tree in SIR is clarified. It is believed that different charge transport dynamics are the main reason for the differences in electrical tree behavior under DC and AC voltages.

关键词： Three-dimensional displays Temperature Shape HVDC transmission Conferences Fluorescence Space charge

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XLPE cable health assessment based on Relief-F feature weighted FSVM

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IOP Conference Series: Earth and Environmental Science 2021年第1期675卷

作者： Xiaohuan Wu Yang Liu Liqun Wang Xinzhuo Ren Xianjun Tan Hangzhou Power Equipment Manufacturing Co. Ltd. Hangzhou 310018 China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education(Northeast Electric Power University) Jilin 132012 China

For the cross-linked polyethylene (XLPE) cable health status assessment process, there are noise data for each feature parameter and the importance of each dimension feature is difficult to determine, which leads to deviations in the cable status assessment results. An XLPE cable health assessment algorithm based on Relief-F feature weighted fuzzy support vector machine is proposed. The Relief-F algorithm is used to calculate the importance of each dimension feature. The feature quantity that is weakly related to the evaluation of the health status of the XLPE cable is deleted. Furthermore, the fuzzy support vector machine is used to evaluate the health status of the XLPE cable, which gives the noise data a smaller degree of membership and reduces the influence of the noise data on the evaluation results. Experimental analysis shows that this method can accurately assess the health status of XLPE cables. It can provide a reference value for relevant departments to carry out cable maintenance and replacement work and save the human resources, and material resources required for maintenance and replacement of cables.

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Prediction of dissolved gas in power transformer oil based on LSTM-GA

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IOP Conference Series: Earth and Environmental Science 2021年第1期675卷

作者： Xin Zhang Shengyuan Wang Yijun Jiang Feifei Wu Chenming Sun Hangzhou Power Equipment Manufacturing Co. Ltd. Hangzhou 310018 China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education(Northeast Electric Power University) Jilin 132012 China

Because the change process of the content of dissolved gas in transformer oil is fluctuating and is affected by many factors such as oil temperature and external environment, the gas content does not increase exponentially and is nonlinear and non-stationary. This feature determines the current Prediction technology cannot accurately predict the concentration of dissolved gas in transformer oil. To improve the prediction accuracy of the dissolved gas content in the transformer oil, more accurately evaluate the transformer status and customize the entire preventive plan under the alarming development trend of the transformer, to minimize the prediction error, this paper proposes a transformer combining genetic algorithm and long short-term memory (LSTM)neural network Prediction model of dissolved gas content in oil. The genetic algorithm (GA) is used to optimize look back(lb), lstm nets(ls), epochs(ep), and the dropout(dp), and then the genetic algorithm is combined with the long short-term memory neural network. The gas content is predicted. This model overcomes the problem of low prediction accuracy caused by selecting parameters based on experience. The analysis result of the calculation example shows that compared with the traditional prediction algorithm, the proposed method can better track the change law of the dissolved gas concentration in the oil, improve the prediction accuracy, and provide a strong guarantee for the safe and stable operation of power transformers.

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Space Charge Characteristics of Oil-paper under AC/DC Composite Voltage

Space Charge Characteristics of Oil-paper under AC/DC Compos...

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Conference on Electrical Insulation and Dielectric Phenomena, (CEIDP)

作者： Yuanxiang Zhou Xin Huang Ling Zhang Yunxiao Zhang Zhongliu Zhou Chenyuan Teng Lei Xue Meng Huang The Wind Solar Storage Division of State Key Laboratory of Power System and Generation Equipment School of Electrical Engineering Xinjiang University Urumqi China China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Haidian Beijing China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power Universiy Beijing China

ISBN: (纸本)9781728195728;9781728195735

Oil-paper insulation bears AC/DC composite voltage in converter transformers. However, the AC/DC space charge behavior is still not clear, which will result in electric field distortion, material aging and even insulation failure. In this work, the space charge distribution of oil-paper under the AC/DC composite voltage with the AC/DC ratio of 1:1, 1:3, 1:5, and 1:7, is studied by pulse electroacoustic (PEA) method, respectively. It was found that as DC component increases, the accumulated charge near the electrode decreases, while the interior charge increases. It suggests that DC stress mainly influences the amount and the depth of space charge accumulation. AC component has a relatively significant impact on the injection and extraction behavior of space charge near the electrode. Furthermore, AC/DC composite voltage enhances the migration of space charge compared with that under DC voltage. This research contributes to the further understanding of the space charge characteristics of oil-paper under AC/DC composite voltage, which will benefit the safe and stable operation of converter transformers.

关键词： Electrodes Conferences Space charge Oil insulation Aging Distortion Dielectrics

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