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Applicability Analysis of Distance Protection for the Line Integrated with High Proportional Wind Farm

Applicability Analysis of Distance Protection for the Line I...

引用

power and Electrical Engineering (ACPEE), 5th Asia Conference on

作者： Yongwu Zhang Cheng Yao Dayong Li Xiaoxiao Huang Zhongrun Xie Jiawei He Bin Li Electric Power Dispatching and Control Center State Grid Tianjin Electric Power Company Tianjin China Electric Power Research Institute State Grid Tianjin Electric Power Company Tianjin China Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China

The performance of conventional protections is serious challenged by different fault characteristics of wind turbine, compared to the synchronous generators. The existing studies can only illustrate the applicability of protections to the renewable energy transmission system through qualitative analysis or extensive simulations. This paper proposes a quantitative evaluation method for distance protection applicability in wind power transmission system. Firstly, by deriving the fault current of doubly-fed induction generators, the Fourier algorithm error of the fundamental frequency current under the influence of frequency deviation phenomenon is calculated. Secondly, based on the analysis of the measured impedance error caused by the Fourier algorithm error, the action accuracy of the distance protection under different operation states and fault conditions are obtained. In particular, the protection applicability under different wind power ratios is evaluated for the wind power transmission system bundled with synchronous generators. Finally, a real time simulation model of wind power transmission system is built based on RTDS platform, and extensive simulation cases are carried out to verify the validity of the proposed method.

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A Distributionally Robust Energy Storage Planning Model for Wind Integrated power System Based on Scenario Probability

A Distributionally Robust Energy Storage Planning Model for ...

引用

power Energy Systems and Applications (ICoPESA), International Conference on

作者： Shunyu Tang Gengfeng Li Zitong Wang Yinguo Yang Qiuyu Lu Pingping Xie Yue Chen State Key Laboratory of Electrical Insulationand Power Equipment Xi’an Jiaotong University Xi’an China Electric Power Dispatching and Control Center Guangdong Power Grid Co. Ltd. Guangzhou China

Global climate change places greater demands on the process of decarbonizing power systems. Battery energy storage can effectively cope with the uncertainty of renewable energy sources and reduce wind power curtailment. Because of the high cost, reasonable economic optimization is required for energy storage planning considering the uncertainty of wind. The traditional stochastic optimization is optimistic while the robust optimization is conservative. To overcome this problem, a two-stage distributionally robust energy storage planning model is proposed in this paper based on the historical information of wind power output. The economics of the energy storage investment scheme is considered in the first stage objective, and the second stage performs the system day-ahead dispatching. This paper used the norm-1 and norm-inf comprehensive constraints to establish the probability distribution uncertainty set of wind power, then tried to find the optimal solution of the model under the worst probability distribution. The column and constraint generation algorithm is used to improve the efficiency of the solution. The numerical test results demonstrate the effectiveness of the model and the method in this paper.

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Virtual Inertia control Strategy for Photovoltaic power Generation Based on Improved Incremental Conductance Method 7

Virtual Inertia Control Strategy for Photovoltaic Power Gene...

引用

7th Asia Conference on power and Electrical Engineering, ACPEE 2022

作者： Gao, Zhimin Cao, Yongji Zhang, Hengxu Qin, Hao Yang, Dong Ma, Huan Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Jinan China Technical University of Denmark Department of Electrical Engineering Kgs. Lyngby Denmark Institute State Grid Shandong Electric Power Company State Grid Shandong Electric Power Research Jinan China

ISBN: (纸本)9781665418195

The large-scale integration of renewable energy units such as wind and photovoltaic power has greatly reduced the equivalent rotational inertia of the power system. PV arrays are static generating elements and have no inertial response without additional control. In order to improve the stability of renewable energy grid operation, this paper proposes a virtual inertia control strategy for photovoltaic power generation by improving the incremental conductance method. This paper firstly introduces the working principle and model of the PV array, and then improves the incremental conductance method based on PI controller to propose PV power generation power reserve control strategy. The PV output is changed for inertial support based on droop control and virtual inertia control by detecting grid frequency changes. Simulation results show that this control strategy results in a better inertial response of the photovoltaic power system. © 2022 IEEE.

关键词： power control

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Quantitative Analysis of Frequency Dynamics in Real power System 7

Quantitative Analysis of Frequency Dynamics in Real Power Sy...

引用

7th Asia Conference on power and Electrical Engineering, ACPEE 2022

作者： Qin, Hao Cao, Yongji Zhang, Hengxu Gao, Zhimin Yang, Dong Ma, Huan Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Jinan China Technical University of Denmark Department of Electrical Engineering Kgs. Lyngby Denmark State Grid Shandong Electric Power Company State Grid Shandong Electric Power Research Institute Jinan China

ISBN: (纸本)9781665418195

As the proportion of renewable energy sources increases, the randomness and volatility of the frequency increase, and its dynamic behaviors are becoming more complex. In order to clearly characterize the frequency fluctuation characteristics of the power system, the long-term statistical characteristics are analyzed based on the measured data. The bimodal normal distribution is used, and the measured frequency is decomposed into continuous and short-time-scale components using the moving average method. Based on historical data, the derivation law of the frequency fluctuation characteristics of regional power system is explored, and it is found that the frequency fluctuation characteristics of different regions continue to differentiate, and the characteristics of the sending-end power system frequency being higher than the rated frequency and relatively drastic fluctuations are becoming more and more obvious. © 2022 IEEE.

关键词： Normal distribution

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Optimization method for suppressing main steam pressure fluctuations in primary frequency regulation based on feed-forward of feed-water

Optimization method for suppressing main steam pressure fluc...

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China International Electrical and Energy Conference (CIEEC)

作者： Hong Hu Libin Wen Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Electric Power Research Institute of Guangxi Power Grid Co.Ltd Nanning Guangxi China

An optimization method of suppressing main steam pressure fluctuations in primary frequency regulation based on feed-forward of feed-water is proposed, which combines the primary frequency regulation action amount with the current main steam pressure deviation and important parameters on the boiler side for mathematical processing, and add the feed-forward signal to the steam pump for feed-water control, so as to adjust the steam pressure fluctuations caused by primary frequency regulation in advance, instead of passively adjusting after monitoring the steam pressure fluctuations, realizing the accurate suppression of steam pressure fluctuations in secondary reheat units participating in grid primary frequency regulation. The steam pressure fluctuations generated by the secondary reheat unit in the process of primary frequency regulation are accurately suppressed in advance, which reduces the magnitude of the main steam pressure fluctuations and shortens the adjustment time for the restoration of stable main steam pressure, ensuring the performance of primary frequency regulation while maintaining the safe and economic operation of the unit. The test shows that the optimized control method can effectively reduce the main steam pressure fluctuation and adjustment time of primary frequency regulation, which is both applicable and effective.

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Distributed Photovoltaic power Forecasting Method Based on AP Clustering and Transfer Learning

Distributed Photovoltaic Power Forecasting Method Based on A...

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

作者： Baolong Yang Ming Yang Qiangsheng Bu Chuanqi Wang Yuanhe Zhang Menglin Li Fei Luo Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China Research Institute State Grid Jiangsu Electric Power CO. LTD. Nanjing China

ISBN: (数字)9798350352290

ISBN: (纸本)9798350352306

Highly accurate photovoltaic (PV) power forecast technology can provide a scientific basis for grid planning to ensure safe, economical, and efficient grid operation. The investment cost for a specialized power prediction system for each PV plant is high. Consequently, a distributed PV (DPV) power forecast method based on affinity propagation (AP) clustering and transfer learning is proposed in this paper. First, the dynamic time warping (DTW) algorithm determines the similarity of power curves between DPV plants; on this basis, multiple DPV power plants in the area to be forecasted are divided into station clusters by using AP clustering; and the PV power plants in each station cluster are divided into source and target domain by transfer learning, combined with long-short term memory (LSTM) network, the power forecasting model is established, and enabling transfer of power models from source to target domain. Finally, data from 20 DPV plants in China are used to demonstrate the effectiveness of the approach. Compared to separate modeling, the proposed method reduces the average training time by 58% while maintaining the forecasting accuracy.

关键词： Photovoltaic systems Training Accuracy Costs Heuristic algorithms Transfer learning Weather forecasting Predictive models Forecasting Long short term memory

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A Remote Sensing Object Classification and Extraction Method Based on Improved U-Net 1

A Remote Sensing Object Classification and Extraction Method...

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1st IEEE International Conference on Data Intelligence and Innovative Application, DIIA 2024

作者： Wen, Lili Qu, Hui Wu, Man Lai, Junxiang Zhang, Wei Research Center for Carbon Sink and Low-Carbon Engineering Beibu Gulf of Guangxi Guangxi Academy of Marine Sciences line Nanning China National Marine Data and Information Service Tianjin China School of Electrical Engineering Guangxi University Nanning China Guangxi Academy of Sciences Guangxi Key Laboratory of Marine Environmental Science Nanning China Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Guangxi Key Laboratory of Intelligent Control and Operation and Maintenance of Power Equipment Nanning China

ISBN: (纸本)9798331504434

This paper addresses the problems of low accuracy and poor adaptability to complex scenes in traditional remote sensing object classification methods, and proposes a remote sensing object classification extraction method based on an improved U-Net. We retained the U-shaped symmetrical structure of U-Net and introduced the Swin Transformer block with self-attention mechanism to replace the original convolutional operation, enhancing the model's ability to extract global features. We also constructed a Bottleneck structure between the encoder and decoder to learn deep feature representations and form a new U-shaped network based on Transformer, improving the network's image semantic segmentation ability in scenarios with small targets and complexity. Experimental results show that the method proposed in this paper has an improvement of more than 9% in evaluation indicators such as recognition accuracy and recall rate compared with existing U-Net and Res-UNet methods, has high semantic segmentation accuracy and robustness, and provides new ideas and technical support for remote sensing image object classification extraction. © 2024 IEEE.

关键词： Semantic Segmentation

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A method for analyzing the response behavior of central air conditioning based on senseless demand response

A method for analyzing the response behavior of central air ...

引用

Smart grids and Energy Systems (SGES), International Conference on

作者： Shuai Han Jianbin Lu Ning Wu Yuhong Mo Leping Sun Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Nanning Guangxi

The share of air conditioning loads in electricity end-use equipment is growing year on year and has become the most important component of peak loads, deepening the contradiction between supply and demand during peak hours in China and leading to a further widening of the peak-valley differential. However, at the same time, air conditioning loads have a certain thermal storage capacity and have a huge potential for load regulation, which can be incorporated into the dispatch of the power system through demand response in order to improve the willingness and satisfaction of central air conditioning users to participate in demand response, this paper proposes a method to analyze the response behavior of central air conditioning based on senseless demand response. Firstly, a senseless demand response platform is constructed, secondly, the thermodynamic model of the room in which the central air conditioning is located is analyzed, then the response potential of the central air conditioning is analyzed. Finally, a simulation is carried out to verify the effectiveness of the proposed method.

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Fault Diagnosis Method for the Looseness of High Voltage Shunt Core Reactor Based on Vibration Sensor Array 5

Fault Diagnosis Method for the Looseness of High Voltage Shu...

引用

5th International Conference on Energy, Electrical and power Engineering, CEEPE 2022

作者： Chen, Liangyuan Li, Dajian Yu, Changting Zhao, Jian Guangxi Electric Power Research Institute Guangxi Electric Power Research Institute State Evaluation Departement Naning China Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Naning China

ISBN: (纸本)9781665479059

The fault diagnosis method for the looseness of high-voltage shunt reactor based on vibration sensor array uses the vibration signal of the reactor tank to diagnose the looseness of the iron core, which avoids the difficulty of selecting the measuring point based on the single-point vibration signal analysis method and makes the measuring data more stable. This paper introduces the axial vibration mechanism of the shunt reactor core based on the mass-spring model, and analyzes the axial vibration characteristics of the core. A vibration test platform for high-voltage shunt reactors based on vibration sensor array is built, and a test plan for the vibration form of high-voltage shunt reactor fuel tanks was established. Influence on fundamental frequency vibration pattern of high voltage shunt reactor fuel tank surface. Referring to the texture feature extraction method in image morphology, a feature extraction algorithm based on vibration intensity co-occurrence matrix is proposed. Taking a 10kV three-phase model shunt reactor with a loose core as an example, the effectiveness of the proposed algorithm is verified. © 2022 IEEE.

关键词： Vibrations Shunts (electrical) Shape Morphology High-voltage techniques Vibration measurement Feature extraction

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Signal distortion characteristics of capacitive casing PD electromagnetic waves

Signal distortion characteristics of capacitive casing PD el...

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China International Electrical and Energy Conference (CIEEC)

作者： Yi Su Lei Zhang Shaoming Pan Xiajin Rao Wei Huang Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Nanning China

The UHF method is an effective method for detecting partial discharges (PD) in transformer bushings, which enables the identification of discharge types by extracting characteristic information from their waveforms, however, the waveform distortion occurs when the UHF signal passes through the capacitor core, which has a serious impact on the identification of discharge defects. Based on this, this paper proposes a study of the distortion characteristics of PD electromagnetic signals in capacitive bushings. A simulation model is established in accordance with the capacitive core of a real transformer bushing, and the finite-difference time-domain (FDTD) method is used to study the signal distortion generated by the PD electromagnetic wave signal passing through the capacitive core, as well as the distortion law of excitation source signals with different pulse widths and pulse amplitudes when passing through the capacitive core. The simulation results show that the UHF signal passing through the capacitor core causes its pulse width to become larger and pulse amplitude to become smaller; the excitation current source pulse amplitude remains the same, the larger the pulse width, the smaller the signal distortion; the excitation current source pulse width remains the same, the pulse amplitude increases, the pulse amplitude of the signal at the observation point increases in equal proportion, while the pulse width does not change significantly. The simulation results in this paper provide a reference for identifying the type of discharge when there is distortion in the UHF waveform in the capacitive transformer bushing.

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