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2022 IEEE power and Energy Society General Meeting, PESGM 2022

作者： Qi, Ning Cheng, Lin Wan, Yuxiang Zhuang, Yingrui Liu, Zeyu State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China Tianjin University China

ISBN: (数字)9781665408233

ISBN: (纸本)9781665408233

Current risk assessment ignores the stochastic nature of energy storage availability itself and thus lead to potential risk during operation. This paper proposes the redefinition of generic energy storage (GES) that is allowed to offer probabilistic reserve. A data-driven unified model with exogenous and endogenous uncertainty (EXU & EDU) description is presented for four typical types of GES. Moreover, risk indices are proposed to assess the impact of overlooking (EXU & EDU) of GES. Comparative results between EXU & EDU are illustrated in distribution system with day-ahead chance-constrained optimization (CCO) and more severe risks are observed for the latter, which indicate that system operator (SO) should adopt novel strategies for EDU uncertainty. © 2022 IEEE.

关键词： Risk assessment

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Fault Location Method of Dc Distribution Network Based on Multivariate Information Fusion

SSRN

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SSRN 2023年

作者： Wang, He Zhang, Zekun Yu, Huanan Li, Shiqiang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China

The accuracy of Direct Current (DC) distribution network fault location for a single electrical or switching quantity fault information is difficult to meet the requirements. This paper proposes a fault location method of DC distribution network based on multivariate information fusion. Firstly, the compressed sensing algorithm is used to reconstruct the fault transient electrical data to obtain the sparse characteristics of the high-frequency fault current. Secondly, the Bayesian network is established to obtain the fault probability of the faulty component based on the protection action inf0ormation generated by the faulty component, and then the sparse fault characteristics and fault probability of the fault current are normalized to obtain the fault degree of the electrical quantity and switching quantity. Finally, the traditional Dempster Shafer (DS) evidence theory fusion algorithm is improved to solve the problem of conflict of uncertain subsets by weight allocation method, and then the fault degree of electrical quantity and switching quantity is fused by combining Bayesian estimation method and weighting method, so as to achieve accurate fault location. simulation experiments conducted using MATLAB software demonstrate that the proposed method can effectively reduce the evidence conflict at the fault point, and the fault location accuracy is improved by 2% to 4% compared with the traditional DS evidence theory, which has a good engineering application prospect for the fault location of DC distribution network. © 2023, The Authors. All rights reserved.

关键词： Bayesian networks

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Proof-of- Reliability Consensus Mechanism of Blockchain for Remote Operation of Relay Protection

Proof-of- Reliability Consensus Mechanism of Blockchain for ...

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China International Electrical and Energy Conference (CIEEC)

作者： Yongjie Zhang Wei Cong Yi Tang Yudun Li Congcong Li Fangfang Shi Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China State Grid Shandong Electric Power Company Jinan China

ISBN: (数字)9798350359558

ISBN: (纸本)9798350359565

Remote operation of protective setting value can enhance the adaptability of protection to real-time operating conditions. As centralized solutions, existing models face information security risks. The decentralized nature of blockchain is advantageous for addressing reliability issues in remote operations. This paper treats the control center and protection relay system sub-stations as nodes in blockchain, proposing a Proof-of- Reliability (PoRel) consensus mechanism based on node reliability. The paper first defines sub-station node types and classification criteria, achieving optimal sub-station node grouping based on 0–1 integer programming. Next, it provides a method for evaluating sub-station node reliability and outlines the consensus mechanism process. Finally, using the IEEE 39-bus system as an example, a blockchain system with 27 sub-station nodes is built using Python software, and the proposed consensus mechanism is simulated and verified. The results indicate that the proposed consensus mechanism improves efficiency, achieves decentralization, and helps ensure reliable relay setting remote operations.

关键词： Integer programming Protective relaying Information security Software Real-time systems Consensus protocol Software reliability

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Critical link identification of power system vulnerability based on modified graph attention network

arXiv

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arXiv 2024年

作者： Wang, Changgang Wang, Xianwei Cao, Yu Li, Yang Lü, Qi Zhang, Yaoxin Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China Northeast Electric Power University Jilin132012 China State Grid Tianjin Electric Power Company Tianjin300010 China

As the power grid expands and the proportion of renewable energy increases, the uncertainty and randomness of the power grid have increased, posing a threat to the security of system operation. It becomes crucial to identify the crucial links in the power grid to ensure its reliability during operation. Addressing the issues of slow identification speed and difficulty in meeting the actual operational requirements of traditional methods for identifying crucial links in the power grid, this paper proposes a method based on the Modified Graph Attention Network (MGAT) algorithm for identifying crucial link in the power grid. Firstly, combining complex network theory with actual power grid operational data, an evaluation index set is established. Subsequently, the MGAT is utilized to explore the mapping relationships between various indicators during power grid operation and the crucial links, forming a model for crucial link identification. Considering the requirements of training accuracy and efficiency, the original data is preprocessed to optimize the model. Next, through simulation, the original dataset is obtained for training, validation, and testing of the identification model. Finally, the proposed model is applied to an improved IEEE 30-node system and a real power grid. The results indicate the feasibility of the proposed method, with accuracy and speed surpassing traditional methods, demonstrating its practical engineering value. © 2024, CC BY-NC-ND.

关键词： Smart power grids

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Wind power Ultra-Short-Term Prediction Method Based on Nwp Wind Speed Correction and Double Clustering Division of Transitional Weather Process

SSRN

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SSRN 2023年

作者： Yang, Mao Guo, Yunfeng Huang, Yutong Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education [Northeast Electric Power University Jilin132012 China

Wind power prediction technology is important for building novel power systems with a high proportion of renewable energy. Numerical weather prediction (NWP) data quality has a significant impact on the accuracy of ultra-short-term wind power prediction (USTWPP). However, existing NWP do not reflect the adaptability of different weather processes, because of it’ s forecasting errors. In view of this, this paper proposes an USTWPP method based on NWP wind speed correction and transitional weather process division. The BILSTM-INFO-HKELM was first used to correct the NWP wind speed, and then the multiple clustering method was used to divide the transitional weather processes to establish a model for USTWPP based on different scenarios, the overall method was finally applied to a wind farm in west inner Mongolia, China. Compared to the pre-correction, the wind speed forecasted RMSE was reduced by 1.702 and the MAE by 1.366. Based on the wind power ultra-short-term prediction method proposed in this paper, the average reduction in RMSR is 4.96% and in MAE is 4.36% compared to the various comparison methods in this paper. The wind power ultra-short-term prediction method combining wind speed correction and double clustering division of weather scenarios can significantly improve prediction accuracy. © 2023, The Authors. All rights reserved.

关键词： Wind power

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DC Line Traveling Wave Protection Method Based on Improved Hausdorff Distance Comparison

DC Line Traveling Wave Protection Method Based on Improved H...

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China International Electrical and Energy Conference (CIEEC)

作者： Chengyan Diao Wei Cong Xiang Lin Xiaofei Shao Yudun Li Congcong Li Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China State Grid Shandong Electric Power Company Jinan China

ISBN: (数字)9798350359558

ISBN: (纸本)9798350359565

To improve the reliability of conventional protection using fault travelling wave, this paper proposes a line traveling wave protection method based on improved Hausdorff distance comparison. The traveling waves at the two sides of the line have different propagation laws and change characteristics during external fault and internal fault. First, the traveling waveform is processed by time matching and segmentation calculation. Second, splitting the long waveform into short waveforms and averaging the waveforms at both sides of the block processing, thus calculating the average Hausdorff distance. Last, using PSCAD building a bipolar DC transmission system for simulation verification, the results show that the improved method has high reliability.

关键词： Fault diagnosis power transmission lines simulation Voltage Capacitance Reliability engineering Reflection

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Short-Term Interval Prediction of Photovoltaic power Considering Correlation Information Matching of Meteorological Resources and Trend Mutation Perception

SSRN

引用

SSRN 2023年

作者： Yang, Mao Li, Yi Zhang, Wei Su, Xin Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin 132012 China

Since errors in deterministic forecasting of photovoltaic power cannot be avoided, interval prediction can adequately characterize the uncertainty in photovoltaic power, which in turn provides further guidance for decision making in the dispatch department. The current interval prediction method is still incomplete in mining the physical change process of photovoltaic power, and there is a problem of low matching degree of gridded meteorological forecast data in the provincial area. Aiming at the above problems, a short-term interval prediction framework of photovoltaic power considering meteorological correlation information matching and trend mutation perception is proposed in this paper. Firstly, the NWP information is reconstructed for low matching degree power stations, and the weather type is predicted by photovoltaic output level. Next, the prediction interval is calculated based on the state transition probability matrices for trend-change factor, time-correlation factor, and numerical-mutation factor. Finally, the framework of this paper is applied to a photovoltaic power plant in Jilin Province, China, and the results of the arithmetic example show that, compared with other methods, the average RMSE of this paper's method is reduced by 5.3%, and the CWC is improved by at least 2.1%, which verifies the effectiveness of this paper's method. © 2023, The Authors. All rights reserved.

关键词： Decision making

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Wind power Forecast Based on Dimensionality Reduction Using Ridge Regression 5

Wind Power Forecast Based on Dimensionality Reduction Using ...

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5th International Conference on Renewable Energy and power Engineering, REPE 2022

作者： Sun, Shuxin Wu, Fubao Qiao, Ying Lu, Zongxiang Hao, Yuchen Tsinghua University State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Beijing100084 China China Electric Power Research Institute State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems Nanjing China Control Ctr State Grid Jiangsu Elect Power Co Ltd Nanjing210017 China

ISBN: (数字)9781665482066

ISBN: (纸本)9781665482066

In order to reduce the randomness and fluctuation of wind power, numerical weather prediction is usually used to forecast power generation. Due to the redundancy of numerical weather prediction factors, dimensionality reduction is carried out to improve the effectiveness of data processing and reduce the complexity of algorithm. In this paper, the multicollinearity diagnosis is carried out to show the existence of multicollinearity among numerical weather prediction variables. The ridge regression method is adopted to screen variables, so as to reduce the dimension of numerical weather prediction data, which are trained later by back propagation neural network or convolutional neural network to fit corresponding power data. In comparison with results using training data without preprocessing, dimensionality reduction can improve predicting effect in most cases and reduce the error caused by improper selection of neural network. © 2022 IEEE.

关键词： Regression analysis

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Investigation of Near-Fundamental-Frequency Oscillation in a Renewable power Integrated system with MMC-HVDC Transmissions

Investigation of Near-Fundamental-Frequency Oscillation in a...

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

作者： Xiaoyu Tian Wenkai Dong Wenhui Zhai Guixing Yang Pengpeng Kang Xiaorong Xie Power Dispatching Control Center State Grid Xinjiang Electric Power Co. Ltd Urumqi China State Key Laboratory of Power System Operation and Control (Department of Electrical Engineering) Tsinghua University Beijing China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

Near-fundamental-frequency oscillations (NFFOs) have been observed in practical renewable power integrated system via MMC-HVDC, of which the mechanism is not fully revealed yet. Therefore, in this paper, potential dominant influencing factors of the NFFO are explored based on a general renewable power integrated system at first. Then the equivalent circuit model of the system is built. By calculating the total resistance, the physical mechanism of the NFFO is revealed.

关键词： Damping Resistance Renewable energy sources Resonant frequency Energy Internet system integration Integrated circuit modeling Phase locked loops Oscillators Equivalent circuits

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Research on HPFC Coordination control Strategy with PST and UPFC 10

Research on HPFC Coordination Control Strategy with PST and ...

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10th China International Conference on Electricity Distribution, CICED 2022

作者： Rong, Shiyang Liang, Jifeng Li, Xiaojun Dong, Jingyuan Zhang, Rui Liu, Xin Tongfei, Cui Hebei Key Laboratory of Energy Internet Simulation Modeling and Control State Grid Hebei Electric Power Research Institute Shijiazhuang China Hebei Key Laboratory of Distributed Energy Storage and Micro-grid North China Electric Power University Baoding China

ISBN: (数字)9781665452687

ISBN: (纸本)9781665452687

Aiming at the high cost of traditional UPFC and the inability of phase shifting transformer (PST) to continuously regulate power flow, a hybrid HPFC topology consisting of PST and UPFC sharing the same primary excitation winding was proposed. HPFC has both advantages and can achieve accurate control of tidal flow in a large range. Based on introducing HPFC structure and principle of adjustment trend, put forward an effective HPFC control strategy, namely through the expected power control PST tap cutting and comprehensive compensation voltage prediction method combined with a closed-loop UPFC control the output voltage of the way the trend of the system adjustment, the method can effectively decrease the voltage overshoot, speed up the adjustment Finally, in MATLAB/SIMULINK, the model of double-loop power transmission system and double-end power supply system is built to verify its power flow regulation ability. The simulation results prove the feasibility of the proposed control strategy and the precision power flow regulation ability of HPFC, which indicates that HPFC has a good application prospect. © 2022 IEEE.

关键词： power control

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