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2019 IEEE Sustainable power and Energy Conference, iSPEC 2019

作者： Qi, Ning Cheng, Lin Jiang, Yi Luo, Jinshan Sun, Ke Wang, Dan Wang, Weiyuan Sun, Wentao Tsinghua University State Key Lab. of Control and Simulation of Power System and Generation Equipment Beijing China State Grid Economic and Technological Research Institute Co. Ltd. Beijing China State Grid Jiangsu Electric Power Co. LTD. China State Grid Jiangsu Economic Research Institute Jiangsu China

ISBN: (纸本)9781728149301

Vulnerability assessment is the key to the security and stability analysis of power system. During the operation of power grid, the fault risk of electrical equipment is not fixed because of the influence of system operating conditions, operating environment and equipment itself, so the vulnerability of power system will also be changeable. Based on the existing research results of complex network theory, a vulnerability assessment method considering operational reliability is proposed in this paper. Firstly, the basic idea of reliability weighted vulnerability assessment is introduced. Then HITS algorithm and PageRank algorithm will be used to analyze the basic vulnerability of power grid topology. Moreover, the vulnerability index of power grid considering reliability weighted is calculated. Finally, numerical analysis focusing on the difference between basic and improved assessment method is tested in IEEE RTS-79 system, and the preventive planning suggestions will be given based on the vulnerability assessment results. © 2019 IEEE.

关键词： Numerical methods

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A Distributed Observer Based on Event-Triggered Communication for LTI systems

A Distributed Observer Based on Event-Triggered Communicatio...

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International Conference on control and Automation (ICCA)

作者： Hui Tian Xin Cai Feng Xiao Bo Wei State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources and with the School of Control and Computer Engineering North China Electric Power University Beijing China School of Electrical Engineering Xinjiang University Urumqi China School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (数字)9781728190938

ISBN: (纸本)9781728190945

This paper focuses on the design of a distributed observer based on event-triggered communication for continuous-time linear time-invariant (LTI) systems. In order to implement discrete-time communication among (sub-) observers, a dynamic event-triggered mechanism is proposed to reduce the communication frequency among neighboring observers as well as to ensure accurate estimations of the designed observers. In this case, each observer broadcasts its information to its neighbors only when the relevant event-triggering condition is met. Finally, numerical simulations are given to show the effectiveness of the proposed approach.

关键词： Observers Linear systems Vehicle dynamics Sensors Couplings Real-time systems Performance analysis

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Superior strength-ductility synergy achieved in WA-DED Mg alloys by modulating precipitates through double-stage aging

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Scripta Materialia 2025年 267卷

作者： Wei Liu Hai-Long Jia Min Zha Artem Marchenkov Xiao-Feng Xu Yue Jiang Yi-Hang Yang Hui-Yuan Wang Key Laboratory of Automobile Materials of Ministry of Education & School of Materials Science and Engineering Nanling Campus Jilin University No. 5988 Renmin Street Changchun 130025 PR China International Center of Future Science Jilin University Changchun 130012 PR China State Key Laboratory of Automotive Simulation and Control Jilin University Changchun 130012 PR China National Research University “Moscow Power Engineering Institute” 14-1 Krasnokazarmennaya 111250 Moscow Russia Key Laboratory of Bionic Engineering of Ministry of Education College of Biological and Agricultural Engineering Jilin University Changchun 130025 PR China

Wire arc directed energy deposition (WA-DED) offers significant potential for rapid fabrication of large-scale Mg alloy components, yet its use is hindered by limited wire availability and strength-ductility trade-offs. Here, we present a groundbreaking advancement in WA-DED Mg-Zn-Zr alloys. Through a novel double-stage aging strategy, an exceptional strength-ductility synergy has been achieved, with the peak-aged alloy demonstrating a yield strength (YS) of ∼214 MPa, an ultimate tensile strength (UTS) of ∼341.8 MPa and an elongation (EL) of ∼21.8 %. Notably, the UTS rivals that of WA-DED Mg-rare earth alloys, while exhibiting excellent EL. The excellent properties are caused by the formation of finer and denser β 1 ′ precipitates during aging. These coherent precipitates play a dual role: they provide significant strengthening by impeding dislocation motion, while their shearable nature prevents stress concentration and preserves ductility. This study offers a novel pathway for developing WA-DED Mg alloys with high strength and ductility.

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An Optimal Dispatch Strategy of Distribution Networks with Electric Vehicle Charging Stations Integrated Energy Storage

An Optimal Dispatch Strategy of Distribution Networks with E...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Fan, Jianjun Bi, Shaocong Yuan, Hong Han, Yuankai Wu, Qiongshan Liu, Xiaoyi Li, Xiao State Grid Dezhou Power Supply Company Dezhou China Shandong Luneng Intelligence Technology Co. Ltd Jinan China Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Ministry of Education Jinan China

ISBN: (纸本)9781728135205

With increased penetration of distributed energy resources and electric vehicles (EVs), EV charging stations integrated with energy storage (ES) is regarded as an important measure to mitigate the power fluctuation and support the distribution networks. Therefore, this paper works on the dispatch strategy of distribution networks with EV charging stations coupled with ES. Firstly, a within-day dispatch model of distribution network is established which consider the characteristics of EV charging load. Secondly, an optimal dispatch strategy is proposed to minimize the daily operation cost, which consider the difference of electricity price under peak and valley load curve. Finally, Case studies are conducted and the simulation results demonstrate that the proposed dispatch strategy can greatly reduce the economic operation costs and smooth the power fluctuations within the charging station. © 2019 IEEE.

关键词： Electric vehicles

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An Improved Shrunken Primal-Dual Subgradient (i-SPDS) algorithm for Optimization in Large-Scale Networked Environment

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IOP Conference Series: Earth and Environmental Science 2021年第1期661卷

作者： Kui Luo Qinghua Wang State Key Laboratory of Operation and Control of Renewable Energy & Storage System China Electric Power Research Institute Beijing 100192 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing 102206 China

Large-scale optimization in networked environment is challenged by scalability. To address this challenge, this paper sets its aim on developing algorithms for optimization problems with strongly coupled objective function and global constraints. As a radical improvement of the state-of-the-art algorithms, this paper develops an improved shrunken-primal-dual subgradient (i-SPDS) algorithm that establishes fast convergence and eliminates optimality gap. The developed algorithm is rather generic in that it can be readily implemented in any applications that involve large-scale networked environment. simulations are conducted to demonstrate the efficacy and efficiency of the proposed i-SPDS.

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Investigation of background noise in active distribution network and its impacts on synchrophasor estimation

Investigation of background noise in active distribution net...

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7th International Conference on Renewable power Generation, RPG 2018

作者： Zhang, Yong Shi, Zhixiong Xue, Jingrun State Grid Shanghai Municipal Electric Power Company Shanghai200233 China Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University 17923 Jingshi Road Jinan China

The next-future extensive diffusion of distributed generation and the increasing energy demands due to new components (e.g. electrical vehicles, energy storages) are changing the characteristics of the power grid at the distribution level, which makes it inevitable to introduce the synchrophasor measurement technology into the distribution network. This study analyses the power spectrum for the background noise of the field measured voltage signal of 0.4 kV in one electrical vehicle charging station. The coloured filter model is established using the autoregressive moving average process, which leads to the conclusion that the coloured noise spectrum is generally concave. The impact of background noise for the phasor estimation is evaluated in the steady state and dynamic state referring to IEEE Std C37.118.1™-2011. © 2019 Institution of Engineering and Technology. All rights reserved.

关键词： IEEE Standards

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Optimal Scheme of Energy Storage system with Wind power Integration Considering Negative Peak Load Regulation Capacity

Optimal Scheme of Energy Storage System with Wind Power Inte...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Liu, Linli Cui, Haichao Zhao, Yabo Liu, Haibo Zhang, Xiuping Li, Xijuan State Grid Dezhou Power Supply Company Dezhou China Shandong Luneng Intelligence Technology Co. Ltd Jinan China Ministry of Education Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China

ISBN: (纸本)9781728135205

Interference caused by wind power integration has aggravated peak load regulation difficulty of power systems, especially, for the negative peak load regulation capacity. The energy storage system (ESS) is regarded as a desirable alternative for peak load regulation due to its good properties in flexibility. In order to fully exploit the advantages of ESS in peak load regulation, an optimization model aiming at maximizing the negative peak load regulation capacity is proposed in this paper. The impact of wind power uncertainty and the assistance of participated ESS on the peak shaving are considered. Then, the optimal scheme of ESS is obtained which can reduce the negative peak load regulation pressure obviously. Finally, the performance and effectiveness of the proposed method are demonstrated with actual power system in North China. © 2019 IEEE.

关键词： Energy storage

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Discrete state Event-Driven Framework for simulation of Switching Transients in power Electronic systems

Discrete State Event-Driven Framework for Simulation of Swit...

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IEEE Energy Conversion Congress and Exposition

作者： Yicheng Zhu Zhengming Zhao Bochen Shi Jiahe Ju Zhujun Yu Liqiang Yuan Kainan Chen State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China

Accurate and efficient simulation of device-level switching transients together with system-level dynamics in power electronic systems is challenging due to stiffness and intensive discontinuous points introduced by discrete system events. In this paper, a switching transient simulation mechanism is proposed to combine the discrete state event-driven (DSED) simulation framework and the piecewise analytical transient (PAT) model together to overcome such difficulties. key elements of this simulation framework for switching transient simulation include: 1) a commutation-unit-based (CUB) method for switching transient simulation and 2) a time-scale-decoupling (TSD) simulation mechanism. The proposed simulation framework is applied to a 50kVA solid-state transformer (SST) to verify its accuracy and efficiency. DSED simulated and experimental waveforms are in excellent agreement. Up to 5.3-fold and 717.3-fold improvements in simulation speed are achieved at the same level of accuracy compared with Simulink simulation with ideal switch models and Saber simulation with physics-based device models, respectively.

关键词： Transient analysis Switches Integrated circuit modeling Switching circuits Mathematical model Computational modeling

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Research on Coordination Solution Strategy of power system Transient Stability and Short Circuit Current Based on External Penalty Function Method

Research on Coordination Solution Strategy of Power System T...

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IEEE International Conference on Circuits and systems (ICCS)

作者： Shuai Yang Zhongwei He Wentao Huang Jun He Zhijun Yuan Jinman Yu Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System Hubei University of Technology Wuhan China State Grid Enshi Power Supply Company State Grid of China Enshi China

ISBN: (数字)9781728191225

ISBN: (纸本)9781728191232

As large-capacity units shift down to low-level power grids, the problems of transient stability and short-circuit current of power systems become increasingly prominent. The traditional control methods such as generator-tripping and load-shedding can only solve one of the problems, but cannot fundamentally solve the contradiction between transient stability and short-circuit current at the same time, resulting in poor power grid stability. A practical control strategy of connecting transient stability and short-circuit current problems of the system through system impedance are studied for the first time in this paper and a mathematical model is established with system impedance as the core. An external penalty function method is proposed to solve the contradiction between transient stability and short-circuit current by seeking the optimal impedance of the system. Taking GGE (A power grid in Hubei) regional power grid as an example for simulation verification through power system Analysis Software Package (PSASP), the results show that the problems of transient stability and short-circuit current in the GGE regional power grid have been effectively solved and the power grid can operate stably. It is verified that the proposed coordinated control strategy of transient stability and short-circuit current can effectively improve the stability of power system.

关键词： Short-circuit currents Stability criteria power system stability power grids Circuit stability Impedance Transient analysis

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An unsupervised hourly weather status pattern recognition and blending fitting model for PV system fault detection

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Applied Energy 2022年 319卷

作者： Jiaqi Qu Zheng Qian Yan Pei Lu Wei Hamidreza Zareipour Qiang Sun School of Instrumentation and Optoelectronic Engineering Beihang University Beijing China School of Electronics and Information Engineering Beihang University Beijing China The Department of Electrical and Computer Engineering University of Calgary Calgary Canada State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China

Detecting PV system faults in a timely fashion is important to ensure the safe operation of equipment and reduce their impact on the economy of the PV systems. It is necessary to further improve the time-sensitive performance evaluation of the system. However, the hourly weather scenario segmentations are seldom considered during the hour-level online monitoring process. Therefore, a hybrid method based on unsupervised hourly weather status pattern recognition and blending fitting model is proposed for hourly fault detection to improve the performance evaluation of PV systems. The proposed solution includes three parts, firstly, in the data preprocessing stage, the measured power with the errors and noise under normal operation situation caused by the environment changes is corrected by monthly linear fitting. Secondly, an unsupervised hourly weather status pattern recognition method is constructed using the measured radiation data, including unsupervised clustering and the Multiclass-GBDT-LR classification process. Finally, after eliminating the anomalies and errors, the blending fitting model of the hourly sub-weather status is established. Through the analysis of power plants in Australia and China, the proposed solutions are validated and evaluated to be superior to existing data-driven solutions in terms of fitting accuracy, detection validity, and response time. Numerical results of case studies indicate that the developed methodology under sub-weather has improved the detection accuracy up to 97.71% and 99.29% compared to benchmark models.

关键词： Photovoltaic systems performance Hourly fault detection Unsupervised hourly weather status pattern recognition Blending fitting model

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