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Energy Engineering and Power systems (EEPS), International Conference on

作者： Tao Meng Chenggang Li Dexin Li Jiajun Zhang Electric Power Research Institute State Grid Jilin Electric Power Co. Ltd Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education School of Electrical Engineering Northeast Electric Power University Changchun China Electric Power Research Institute State Grid Jilin Electric Power Co. Ltd Changchun China

With the target of "peak carbon dioxide emission" and "carbon neutrality", the installed capacity of renewable energy power generation is increasing rapidly. To improve the absorption capacity of renewable energy, the frequency regulation ability of flexible load is considered. Diffusion strategy is an optimal strategy for the distributed multi-agent system. Considering the flexible load, the grid-connected photovoltaic power applies the diffusion strategy to optimize the scheduling strategy. The effectiveness of the proposed optimal algorithm is verified by a simulation example. The results show that the proposed algorithm can realize frequency regulation, and improve the installed capacity of photovoltaic power generation.

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Semi-Global Consensus Problems of Discrete-Time Multi-Agent systems in the Presence of Input Constraints

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Journal of Shanghai Jiaotong university(Science) 2020年第3期25卷 288-298页

作者： WANG Jian SHI Liangren Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai Jiao Tong UniversityShanghai 200240China Shanghai Key Laboratory of Navigation and Location-Based Services Shanghai Jiao Tong UniversityShanghai 200240China Academy of Information Technology and Electrical Engineering Shanghai Jiao Tong UniversityShanghai 200240China

This paper studies the consensus problems of the discrete-time multi-agent systems (MASs) in the presence of input saturation constraints over directed communication *** kinds of consensus problems,of the leaderless consensus problem with no leader agent and the containment control problem with multiple leader agents,are investigated in this *** gain feedback consensus algorithms based on the improved discretetime parametric algebraic Riccati equation (ARE) are proposed to solve the consensus *** the MAS without any leader,the trajectories of all agents converge together when the communication networks contain a directed spanning *** the MAS with multiple leaders,the trajectories of all follower agents converge to the convex hull spanned by the leader agents when there is at least one leader agent which is trackable for each follower *** examples are provided to verify the theoretical results.

关键词： leaderless consensus containment control discrete-time low gain input saturation

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Impact of clean air action on PM2.5 pollution in China

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Science China Earth Sciences 2019年第12期62卷 1845-1846页

作者： Qiang ZHANG Guannan GENG Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System ScienceTsinghua UniversityBeijing 100084China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China

China suffers from severe air pollution in the past decades,characterized by high-levels of fine particulate matter(PM2.5)*** mitigate PM2.5 pollution,the Chinese government issued the Air Pollution Prevention and control Action Plan(referred to as the Clean Air Action hereinafter)in 2013,which requires the three key regions,ie..,Beijing-Tianjin-Hebei(BTH),the Yangtze River Delta(YRD)and the Pearl River Delta(PRD),to reduce PM2.5 concentrations by 15-25%from 2013-2017,and all other cities to reduce PM10 concentrations by 10%compared to 2012(State Council of the People's Republic of China,2013).

关键词： pollution Impact Pearl

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Ultra-short-term Multi-step Prediction of Wind Power based on iHHT and TSLANet

Ultra-short-term Multi-step Prediction of Wind Power based o...

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

作者： Xiangyu Li Mao Yang Li Sun Yunpeng Jia Guozhong Fang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China Changchun Power Supply Company of State Grid Jilin Electric Power Co. Ltd. Changchun China Jilin Power Supply Company of State Grid Jilin Electric Power Co. Ltd. Jilin China State Grid Northeast China Branch Shenyang China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

With the increasing proportion of renewable energy sources such as wind power in the energy structure, high penetration of wind power has become crucial for the normal operation of the power system. In order to improve the accuracy of wind power prediction, this study proposes a wind speed correction algorithm based on improved Hilbert-Huang Transform (iHHT), and introduces TSLANet network for multi-step prediction of ultra short term wind power. Firstly, the improved HHT method was used to decompose and analyze the wind speed in Numerical Weather Prediction (NWP), effectively solving the mode mixing problem in Empirical Mode Decomposition (EMD). Next, model the model through linear network layers and determine the weight coefficients. Finally, the corrected wind speed data is input into the TSLANet network for feature learning and ultra short term multi-step wind power prediction. The experimental results indicate that the method proposed in this study can effectively improve the accuracy of power prediction.

关键词： Representation learning Renewable energy sources Accuracy Wind speed Weather forecasting system integration Prediction methods Wind power generation Prediction algorithms Numerical models

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Study on control Sequence Coordination Method between Security and Stability control system and HVDC Pole control system

Study on Control Sequence Coordination Method between Securi...

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2020 IEEE Sustainable Power and Energy Conference, iSPEC 2020

作者： Liu, Mingshun Zhu, Yihua Ma, Qinfeng Li, Chengxiang Chen, Rui Zhang, Jingpei Wu, Mingkang Power Dispatching Control Center of Guizhou Power Grid Co. Ltd China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid China

ISBN: (纸本)9781728191645

Security and stability control system (SSC) is an important guarantee for the safe operation of power grid, and for HVDC system modulation function is an important kind of stability control measures. Combined with Tianshengqiao-Guangzhou HVDC safety strategy transformation, RTDS simulation test is conducted. In allusion to the exposed defects about SSC handling with multiple DC power modulation orders and sequence coordination between SSC and pole control system, the handling way for the stability control device of Mawo converter station and control characteristics of DC power modulation for pole control system are analyzed in detail. An optimization method of control sequence coordination for stability control system and pole control system is proposed, and tested on the SSC test platform. Test results show the effectiveness of the proposed method, and meanwhile the significance for the design and implementation of SSC scheme of HVDC project with similar techniques. © 2020 IEEE.

关键词： Electric power transmission networks

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Probabilistic prediction of short term wind power considering temporal and spatial dependence of prediction error

Probabilistic prediction of short term wind power considerin...

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作者： Yong Sun Zhenyuan Li Chaoyu Shi Baoju Li Mao Yang State Grid Jilin Electric Power Supply Company Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University)

The short-term probabilistic prediction of wind power has the characteristics of spatial dependence and time-series *** the two characteristics at the same time can improve the prediction level. In this paper, a probabilistic short-term wind power prediction model considering the temporal and spatial dependence of prediction error is proposed. Considering the coupling relationship between the two properties, the NWP(Numerical Weather Prediction) wind speed point prediction error in the historical period is hierarchical clustering, and the empirical distribution model is used to fit the probability distribution of the error under different wind conditions;the cumulative empirical distribution probability value corresponding to the NWP wind speed at the time to be predicted is bootstrap sampling;under the given confidence level, the possible wind speed at each time point to be predicted in the short term is calculated The power fluctuation range of the generator. The test results show that this method can ensure the statistical significance and fitting stability of the sub sample set at the same time, and improve the classification accuracy of the days to be predicted. Compared with considering a single property, the result of probability prediction performs better on multiple evaluation indexes.

关键词： Probabilistic prediction of short term wind power considering temporal and spatial dependence of prediction error

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Wide-Area Damping control Enhanced by Non-Invasive Data Verification Against False Data Injection Attacks

SSRN

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SSRN 2024年

作者： Sun, Zhenglong Long, Hao Li, Zewei Gao, Bo Wei, Xiaoqiang Belikov, Juri Levron, Yoash Department of Electrical Engineering Key Laboratory of Modern Power System Simulation and Control & Renewable Energy State Grid Jiashan County Power Supply Company Jiaxing China State Grid Heilongjiang Electric Power Company Limited Heilongjiang China The Andrew and Erna Viterbi Faculty of Electrical Engineering Technion Israel Institute of Technology Haifa Israel Department of Software Science Tallinn University of Technology Tallinn Estonia Northeast Electric Power University China

The increasing interconnectivity of power systems and the integration of renewable energy sources into the grid have exacerbated the low-frequency oscillation problem, which directly impacts the stability of the power grid. The performance of wide-area damping control (WADC), which is an effective oscillation suppression technique , is susceptible to false data injection attacks (FDIA). This study proposes a non-intrusive data verification method using an adaptive variational autoencoder (AVAE) combined with a deep convolutional neural network (DCNN) to enhance WADC’s resistance to FDIA. The method integrates data dimensionality reduction of AVAE and reconstruction capabilities with DCNN’s feature extraction advantages. Itemploys adaptive thresholds to dynamically track grid data fluctuations, accurately distinguishing between normal and abnormal measurements and improving attack detection and performance discrimination. In addition, the study proposes an intelligent repair process based on latent representations for anomalous data in the repair module, using hierarchical clustering and Gaussian mixture models post-Bayesian inference to repair data. AVAE then reconstructs the repaired data, mitigating attack impacts. simulations on IEEE 39-Bus, 68-Bus, and 118-bus systems demonstrate that this method effectively detects network attacks and restores manipulated signals with minimal reconstruction errors, thus ensuring grid stability and reliability. © 2024, The Authors. All rights reserved.

关键词： Convolutional neural networks

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Ultra-short-term Multi-step Prediction of Wind Power based on iHHT and TSLANet 8

Ultra-short-term Multi-step Prediction of Wind Power based o...

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8th IEEE Conference on Energy Internet and Energy system Integration, EI2 2024

作者： Li, Xiangyu Yang, Mao Sun, Li Jia, Yunpeng Fang, Guozhong Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Jilin China Changchun Power Supply Company State Grid Jilin Electric Power Co. Ltd. Changchun China Jilin Power Supply Company State Grid Jilin Electric Power Co.Ltd. Jilin China State Grid Northeast China Branch Shenyang China

ISBN: (纸本)9798331523527

关键词： Hilbert-Huang transform

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Research on real-time simulation of wide area out-of-step system in CSG 4

Research on real-time simulation of wide area out-of-step sy...

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4th IEEE Conference on Energy Internet and Energy system Integration, EI2 2020

作者： Mao, Lifan Chang, Dongxu Liu, Ruicai Zhu, Yihua Guo, Hengdao Wu, Mingkang Hainan Power Grid Co. Ltd Power Dispatching and Control Center Haikou China Electric Power Research Institute China Southern Power Grid State Key Laboratory of HVDC Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9781728196060

In order to study the action characteristics of wide area out-of-step system in CSG, the real-time simulation study based on RTDS is carried out. In this paper, a test system based on the actual devices and the settings are constructed, and the modeling methods of the important measurement such as the power angle of tie line, Ucos φ oscillation curve and the voltage at the installation point of device are studied. The operation characteristics of wide area out-of-step system are fully verified by several serious single or multiple fault cases. The analysis of the simulation results shows that the wide area out-of-step system can meet the design requirements of splitting speediness, simultaneity and selectivity, and can solve the problems of late splitting in the south channel of Guangdong and Guangxi section, as well as the problem that the system cannot recover stability after splitting Guangdong and Guangxi, Guizhou and Guangxi section simultaneously. © 2020 IEEE.

关键词： Electric fault currents

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An Operational Risk Prevention Strategy Based on Dynamic Line Rating

An Operational Risk Prevention Strategy Based on Dynamic Lin...

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IEEE Asia Power and Energy Engineering Conference (APEEC)

作者： Lingzi Zhu Jieling Li Mingshun Liu Liweiyong Guo Dongxu Chang Power Dispatching Control Center Guizhou Power Grid Co. Ltd Guiyang China Power Dispatching Control Center of Guizhou Power Grid Co. Ltd Guiyang China Department of Electric Power Engineering Chongqing University Chongqing China School of Electrical Engineering Chongqing University Chongqing China Electric Power Research Institute China Southern Power Grid Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (数字)9798350373479

ISBN: (纸本)9798350373486

As renewable energy becomes increasingly used, its uncertainty leads to a lack of initiative in power system prevention methods. Therefore, based on the application of Dynamic Line Rating (DLR), this paper proposes a new strategy for operational risk prevention in power systems under considerations of supply and demand uncertainties as well as DLR prediction. First of all, the probability density function and sequential expected power are utilized to describe the uncertainty models of wind power and load. Subsequently, a combination prediction model of DLR based on the entropy method is proposed to characterize the uncertainty of DLR. Finally, the DLR is applied in the risk assessment model. A risk index is proposed to describe the overload of the transmission line. The performance is tested in the IEEE-39 system, and the results show the prediction accuracy and risk prevention effectiveness of DLR.

关键词： Renewable energy sources Uncertainty Supply and demand Biological system modeling Power system dynamics Predictive models Wind power generation

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