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7th International Symposium on Autonomous systems, ISAS 2024

作者： Liu, Shanlin Zhang, Yingwei Zhao, Xudong Wang, Hesheng Northeastern University College of Information Science and Engineering Shenyang China Northeastern University State Laboratory of Synthesis Automation of Process Industry Shenyang China Dalian University of Technology Faculty of Electronic Information and Electrical Engineering Dalian China Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9798350363173

In this article, an adaptive event-triggered asymp¬totically fault-tolerant control (FTC) issue for nonlinear systems with actuator faults is investigated. An extended neural networks (NNs) technique is introduced to estimate unknown functions of the system under consideration. Compared with traditional NNs that ignore approximation errors, the proposed extended NNs further processes approximation errors, reducing the conservatism of the proposed algorithm. Then, within the framework of backstepping method, a new adaptive control strategy is developed by combining event-triggered mechanism (ETM) and bound estimation (BE) approach, which ensures the asymptotic convergence of system states while also reducing the transmission of unnecessary information, thus improving the utilization of communication resources. At the same time, the designed controller eliminates the adverse effects of actuator failures and system nonlinear terms. Finally, a simulation example of a single-link robot system is provided to demonstrate that the developed control strategy can ensure that all signals are bounded and system states are asymptotically convergent. © 2024 IEEE.

关键词： Approximation algorithms

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Hierarchical Modeling of Cyber-physical Power system for State Evolution Analysis 7

Hierarchical Modeling of Cyber-physical Power System for Sta...

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

作者： Zhang, Xiang Wang, Hongtao Shan, Yuechen Zhai, Shibo Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9781665418195

In the highly automatic smart grid, the security control and service quality of power system are significantly depended on information network. From the perspective of information interaction, cyber-physical power system (CPPS) is divided into power physical layer, communication layer and control layer in this paper. First, three layers of CPPS and the coupling relationship between them are modeled in the form of matrices. Then, the state evaluation process of CPPS under attacks is deduced, and an integrated model is established. Finally, the propagation mechanism of information attack is briefly analyzed, and the IEEE 39-bus system is used to testify the proposed model. © 2022 IEEE.

关键词： Smart power grids

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Ill-conditioned Problem of Fault Location Equations for Three-Terminal Lines in Distribution Network by μMPMU

Ill-conditioned Problem of Fault Location Equations for Thre...

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2022 Power system and Green Energy Conference, PSGEC 2022

作者： Zhang, Junpeng Meng, Xinyuan Wang, Rundong Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (数字)9781665499934

ISBN: (纸本)9781665499934

Three terminal line is a typical structure in distribution network, and its fault location has been the focus because of the large scale distributed generation integration. Recently, a parameter-free fault location method based on line voltage was proposed, which overcomes the problem that line parameters are unknown and only two line voltages can be measured in distribution network of China. Although it is more practical than previous methods, the RTDS test shows that the location equations of this method have ill-conditioned problems, that is, tiny measurement error causes too large deviation in the result. To study this problem, the ill-conditioned problem of the location equations is analyzed by condition number at first. Then the condition number of the location equations is calculated by simulation, and it is verified that the location results will produce a large error in the condition of small error of PSCAD simulation data and μMPMU measurement data from RTDS device. © 2022 IEEE.

关键词： Errors

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An Integrated Energy system Operation Model Considering New Electricity Marketing Strategy 5

An Integrated Energy System Operation Model Considering New ...

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

作者： Liu, Shuai Wang, Mingqiang Lian, Xiaoyang Hu, Yuxi Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9781665479059

In recent years, the economic operation of Integrated Energy system (IES) has been widely concerned. How to determine the energy price has become an urgent problem to be solved of IES. In order to overcome this problem, a modified IES operation model considering new electricity marketing strategy is proposed. In this model, the combined stochastic/robust optimization (S/RO) is established to minimize the sum of electricity exchange cost, fuel purchasing cost, operating cost, flexibility adjustment cost and renewable curtailment cost. Based on the bounded uncertainty-based robust optimization (BURO), the modified IES operation model is transformed into a mixed integer linear programming (MILP) model, which is solved by CPLEX solver. The feasibility and effectiveness of the proposed model are illustrated on the IEEE 33-node distribution system with 11-node heat-cold system. © 2022 IEEE.

关键词： Heating systems Renewable energy sources Power engineering Costs systems operation Stability analysis Probability distribution

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Integrated Scheduling for Power system with High Proportion of Renewable Energy Considering Multiple Time Resolution and Energy Storage system 5

Integrated Scheduling for Power System with High Proportion ...

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

作者： Guo, Junshao Wang, Mingqiang Liu, Jianan Li, Jianying Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781665479059

In the context of the clean and low-carbon energy revolution, high proportional renewable energy source (RES) will be one of the basic characteristics of the future power system. The traditional sequential scheduling module exposes serious problems. In order to solve these problems above, this paper establishes an integrated scheduling model, which determines unit reserve, base points (BPs) and participation factors (PFs) at the same time. It realizes the integrated decision-making of unit commitment (UC), economic dispatch (ED), and PFs of automatic generation control (AGC). To accurately capture the newly updated short-term wind power forecast, the finer time resolution is applied in the first few time intervals, such as 5, 15 and 30 min. Simultaneously, for the short-term wind power spike, energy storage system (ESS) as its countermeasure is used to deal with it. The entire model is regarded as a mixed integer linear programming (MILP) model, which is solved by CPLEX solver. The practicality and validity of the proposed model are verified by the IEEE-RTS system. In general, the integrated model proposed in this paper can accommodate more RES integration, relieve wind curtailment, reduce the total cost and improve the security of the power system, which has a wider application prospect in the power system scheduling field. © 2022 IEEE.

关键词： Renewable energy sources Costs Energy resolution Automatic generation control Wind power generation Power systems Security

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HIGH-FREQUENCY OSCILLATION ANALYSIS OF WIND FARM-SIDE MMC STATION UNDER NO-LOAD CHARGING CONDITION 20

HIGH-FREQUENCY OSCILLATION ANALYSIS OF WIND FARM-SIDE MMC ST...

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20th International Conference on AC and DC Power Transmission 2024, ACDC 2024

作者： Yang, Yongqing Ye, Hua Li, Guanqun Yang, Jialun Zhao, Yujing Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University 17923 Jingshi Road Jinan China State Grid Jinan Power Supply Company Jinan China

ISBN: (纸本)9781837242672

Existing research on high-frequency oscillation indicates that the high-frequency oscillation during no-load charging of modular multilevel converter (MMC) station is primarily linked to time delay and the ground capacitance of AC lines. Nevertheless, a high-frequency oscillation around 2000 Hz has been observed in Rudong high voltage direct current project even when the AC lines are not connected. Except time delay, there still exists another key factor of the high-frequency oscillation, i.e., the transformer stray capacitance. This paper delves into the interaction among the dynamics of MMC station and the transformer. And the mechanism of high-frequency oscillation under no-load charging condition is determined. Firstly, the harmonic state space (HSS) model of MMC station considering the effect of stray capacitance is established. By plotting the eigenvalue trajectory, the essentiality of taking into account stray capacitance is elucidated. Subsequently, a simplified model is obtained by neglecting the dynamics of elements with low participation in the oscillation modes. Next, the mechanism of high-frequency oscillation is clarified according to impedance characteristics. Finally, the impact of proportional gain and shear frequency on small signal stability is revealed. The correctness and accuracy are identified by electromagnetic transient simulations. © The Institution of Engineering & Technology 2024.

关键词： Eigenvalues and eigenfunctions

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Research and application of Gaussian coupled control bistable stochastic resonance system with independent parameter regulation

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Results in Physics 2025年 73卷

作者： Hou, Tiantian Jiao, Shangbin Wang, Yi Song, Nianlong Li, Jianghua Cui, Wenchuan Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an 710048 China

The theory of Stochastic Resonance (SR) has drawn significant attention due to its exceptional ability to detect faint signals. Despite this, research to date indicates that for SR systems, whether they are monostable, bistable, or multi-stable, modifications to the system parameters lead to concurrent alterations in the depth and breadth of the potential wells when analyzing engineering signals, which results in suboptimal detection outcomes. To address these issues, a two-dimensional Gaussian bistable coupled SR (GBCSR) system has been proposed that can individually adjust the potential well characteristics. This innovative system facilitates the separate adjustment of shape characteristics of potential, allowing for more precise manipulation of the system's dynamic response. The system's non-linear dynamic traits are explicated through an analysis of the steady-state probability density (SPD) function and the mean first passage time (MFPT), substantiating the effectiveness of the new model. In practical scenarios, a variety of bearing defect signals serve as the objects of detection. The structural parameters of the GBCSR system are co-optimized using the Brain Storm Optimization (BSO) algorithm. This optimization approach leverages the algorithm's ability to enhance population diversity and improve convergence accuracy, thereby optimizing the system's performance. The experimental outcome results show that the proposed system can accurately detect the frequency of bearing fault signals. When compared with traditional SR systems such as the traditional bistable stochastic SR (TBSR), the traditional Gaussian SR system (TGSR), and the cascade stochastic resonance system, the proposed coupled system demonstrates superior performance. This is achieved through the transfer of energy or information between subsystems, which enables more efficient utilization of noise energy. The system can trigger the resonance effect over a broader range of noise intensities and signi

关键词： Bearing fault detection Coupled stochastic resonance Independent parameter regulation MFPT SPD

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Multi-Lever EarlyWarning forWind and Photovoltaic Power Ramp Events Based on Neural Network and Fuzzy Logic

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Energy Engineering 2024年第11期121卷 3133-3160页

作者： Huan Ma Linlin Ma Zengwei Wang Zhendong Li Yuanzhen Zhu Yutian Liu Power Grid Technology Center State Grid Shandong Electric Power Research InstituteJinan250003China Shandong Electric Power Dispatching and Control Center State Grid Shandong Electric Power CompanyJinan250012China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinan250061China

With the increasing penetration of renewable energy in power system,renewable energy power ramp events(REPREs),dominated by wind power and photovoltaic power,pose significant threats to the secure and stable operation of power *** paper presents an early warning method for REPREs based on long short-term memory(LSTM)network and fuzzy ***,the warning levels of REPREs are defined by assessing the control costs of various power control ***,the next 4-h power support capability of external grid is estimated by a tie line power predictionmodel,which is constructed based on the ***,considering the risk attitudes of dispatchers,fuzzy rules are employed to address the boundary value attribution of the early warning interval,improving the rationality of power ramp event early *** results demonstrate that the proposed method can generate reasonable early warning levels for REPREs,guiding decision-making for control strategy.

关键词： Early warning machine learning power system security renewable energy power ramp event smart grid

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Pattern Matching of Industrial Alarm Floods Using Word Embedding and Dynamic Time Warping

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IEEE/CAA Journal of Automatica Sinica 2023年第4期10卷 1096-1098页

作者： Wenkai Hu Xiangxiang Zhang Jiandong Wang Guang Yang Yuxin Cai School of Automation China University of GeosciencesWuhan 430074Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex SystemsWuhan 430074 Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of EducationWuhan 430074China College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China

Dear Editor,This letter proposes a new pattern matching method based on word embedding and dynamic time warping(DTW)to identify groups of similar alarm ***,alarm messages are transformed into numeric values that represent alarms and also reflect the relationships between alarm ***,similarities between numerically encoded alarm flood sequences are calculated by DTW and groups of similar floods are identified via *** effectiveness of the proposed method is demonstrated by a case study with alarm&event data obtained from a public industrial simulation model.

关键词： Word Alarm DTW

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Robust Black Start Strategy with a High Share of Renewable Energy Generation 6

Robust Black Start Strategy with a High Share of Renewable E...

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6th IEEE Conference on Energy Internet and Energy system Integration, EI2 2022

作者： Fan, Xuemei Wang, Hongtao Li, Yong Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350347159

Renewable energy generation is expected to participate in black start in case of blackout events, as they can significantly speed up power system restoration. This paper proposes a startup strategy aiming to improve the black start robustness against uncertainties introduced by wind or photovoltaic power plants. The strategy is composed of a short-term emulation model and a long-term ordered participation model. The short-term model concerns the transient state frequency and voltage stability under black start disturbances. It emulates the regulating capability of the power plants so as to determine if they can withstand the black start events. The long-term model deals with the steady state power and energy balance during black start units ramping. It takes into consideration the uncertainty of wind and photovoltaic power and calculates the confidence power output interval, and thereby prevents generation shortage caused by renewable power fluctuations. Based on the proposed strategy, an ordered participation algorithm is presented for online decision making of black start schemes, which are validated using a practical regional power system based study case. The results show that the proposed method can improve system robustness and stability for black start with wind and photovoltaic power. © 2022 IEEE.

关键词： Wind power

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