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IEEE International power Modulator and High Voltage Conference

作者： Shao, Tao Yu, Yang Zhang, Cheng Niu, Zheng Zhang, Dongdong Wang, Jue Sun, Yaohong Yan, Ping Zhou, Yuanxiang Institute of Electrical Engineering Chinese Academy of Sciences Beijing 100190 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Electrical Engineering Department Tsinghua University Beijing 100084 China

ISBN: (纸本)9781424471294

Dielectric barrier discharge excitated by unipolar pulsed power is a promising approach for producing non-thermal plasma at atmospheric pressure. A magnetic compression solid-state pulse power generator is used to produce dielectric barrier discharge (DBD). The generator is capable of providing repetitive pulses with the voltage of up to 30 kV and duration of 70 ns at a 300 resistive load. This paper illustrates electrical characteristic and luminous emissions of DBD excitated by repetitive unipolar nanosecond-pulses in atmospheric air. Different from common DBD excitated by high-voltage AC sources, discharge current of DBD in the experimental investigation can be on an order of tens of amperes. When the DBD is created using two liquid electrodes, the luminous emissions from the obverse and flank sides of liquid electrodes show that no filament is observed and the discharge is homogeneous and diffuse in the whole discharge regime. © 2010 IEEE.

关键词： Dielectric barrier discharge

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power Output Monitoring and Anomaly Identification of Photovoltaic systems Using Graphical Modeling 4

Power Output Monitoring and Anomaly Identification of Photov...

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4th International Conference on Sensing, Diagnostics, Prognostics, and control, SDPC 2020

作者： Chen, Yonghua Zhang, Xiaochen Liu, Gang Wu, Rui Liu, Chao Jiang, Dongxiang Nari Technology Co. Ltd Nanjing211106 China Tsinghua University Department of Energy and Power Engineering Beijing100084 China Tsinghua University State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Energy and Power Engineering Beijing100084 China

ISBN: (纸本)9781728170503

Photovoltaic cells are being increasingly installed worldwide as a type of important renewable resource for power generation. Among the installed photovoltaic systems, data are collected from the control and monitoring system, and the anomaly detection researches are mostly based on the individual photovoltaic cells and the systematic behavior in a group of photovoltaic systems is not well studied. Based on the assumption that the photovoltaic cells installed in the same location are with very close solar radiation, the power output of each subsystem is considered in this work for monitoring the operating status of the subsystem and identifying the anomalous subsystem, where spatiotemporal pattern network, a probabilistic graphical modeling approach, is applied. The results show that the presented framework is able to detect the anomaly and locate the anomalous subsystem. © 2020 IEEE.

关键词： Condition monitoring

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Optimal control of DERs in ADN under spatial and temporal correlated uncertainties

arXiv

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arXiv 2018年

作者： Chen, Xiaoshuang Lin, Jin Liu, Feng Song, Yonghua State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China

The control schemes of distributed energy resources (DERs) in active distribution networks (ADNs) are largely influenced by uncertainties. The uncertainties of DERs are complicated, containing spatial and temporal correlation, which makes it challenging to design proper control schemes, especially when there exist temporal-correlated units such as energy units (EUs). This paper provides an Itô process model to describe the characteristics of stochastic resources and EUs in a unified way, which makes it easy to evaluate the impacts of stochastic resources on temporal-correlated units. Based the moment form of the Itô process model, a moment optimization (MO) approach is provided to transform the stochastic control (SC) problem into an optimization problem with respect to the first-order and second-order moments of the system variables. The scale of MO is comparable to that of the corresponding deterministic control problem, which means that the computational efficiency of MO is much smaller than that of traditional approaches. Case studies also show that the proposed approach outperforms existing approaches in both the performance and computational efficiency, which means that the proposed approach has attractive potential for use in large-scale applications. Copyright © 2018, The Authors. All rights reserved.

关键词： Energy resources

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An Explicit MPC Based on Galerkin Method for AGC Considering Volatile Generations

An Explicit MPC Based on Galerkin Method for AGC Considering...

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IEEE power and Energy Society General Meeting

作者： Yiwei Qiu Jin Lin Feng Liu Yonghua Song State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China The University of Macau Macau China

Imbalance of generation and load caused by volatile generations poses challenges on frequency regulation. AGC is required to respond to the generation fluctuations without violating operational and security constraints. While explicit model predictive control (EMPC) provides an approach, the partition number of the piecewise affine control laws grows exponentially with the number of constraints and prediction/control horizons, which hinders its application in large systems. In this paper, we propose an EMPC approach for AGC by approximating the control laws using Legendre polynomial series expansions, thus entirely eliminating the partition issue. Galerkin method is applied to the KKT conditions of EMPC's multiparametric quadratic programming (mp-QP) problem to compute the approximations. Case study in New England 39-bus system verifies the performance and efficiency of the proposed controller.

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Distributionally Robust Dispatch for power System with Advanced Adiabatic Compressed Air Energy Storage Considering Frequency Security

SSRN

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SSRN 2024年

作者： Liu, Hanchen Chen, Laijun Cui, Sen Chen, Siyuan Mei, Shengwei State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China

In response to climate change and the need to decrease carbon emissions, the penetration of renewable energies into power grids is growing dramatically. However, the high intermittence and low inertia of renewable energy pose significant risks to frequency security. The advanced adiabatic compressed air energy storage (AA-CAES) is a promising solution to enhancing grid frequency security due to its flexible and high inertia properties. Therefore, based on distributionally robust optimization, this paper proposes a dispatch strategy with the participation of AA-CAES to enhance frequency security. Firstly, a dispatch-friendly model of AA-CAES is proposed and can reflect the impacts of the part-load features on the dis-/charging efficiencies and capacities. Subsequently, a frequency response model with AA-CAES is presented to establish frequency security constraints, ensuring compliance with minimum inertia and maximum frequency deviation requirements. Furthermore, to cope with the randomness of renewable energy, this proposed model is formulated as a distributionally robust optimization problem with a "min-max-min" structure. In the day-ahead stage, the optimal on/off schedules for generators and AA-CAES can be determined according to the worst probability distribution in the second stage for providing sufficient grid inertia. In the intra-day stage, the generation and AA-CAES can be adjusted to minimize the frequency deviation. Finally, numerical studies are tested on the modified IEEE-39 bus system. The simulation results demonstrate the validity and feasibility of the proposed strategy with AA-CAES in supporting grid frequency security. © 2024, The Authors. All rights reserved.

关键词： Wind power

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Fast Monte Carlo simulation of Dynamic power systems Under Continuous Random Disturbances

Fast Monte Carlo Simulation of Dynamic Power Systems Under C...

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IEEE General Meeting power& Energy Society

作者： Yiwei Qiu Jin Lin Xiaoshuang Chen Feng Liu Yonghua Songy State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China The University of Macau Macau China

ISBN: (数字)9781728155081

ISBN: (纸本)9781728155098

Continuous-time random disturbances from the renewable generation pose a significant impact on power system dynamic behavior. In evaluating this impact, the disturbances must be considered as continuous-time random processes instead of random variables that do not vary with time to ensure accuracy. Monte Carlo simulation (MCs) is a nonintrusive method to evaluate such impact that can be performed on commercial power system simulation software and is easy for power utilities to use, but is computationally cumbersome. Fast samplings methods such as Latin hypercube sampling (LHS) have been introduced to speed up sampling random variables, but yet cannot be applied to sample continuous disturbances. To overcome this limitation, this paper proposes a fast MCs method that enables the LHS to speed up sampling continuous disturbances, which is based on the Itô process model of the disturbances and the approximation of the Itô process by functions of independent normal random variables. A case study of the IEEE 39-Bus System shows that the proposed method is 47.6 and 6.7 times faster to converge compared to the traditional MCs in evaluating the expectation and variance of the system dynamic response.

关键词： Monte Carlo methods Uncertainty System dynamics power system dynamics Hypercubes Software Random variables

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Novel ZnO Varistors for Dramatically Improving Protective Effect of Surge Arresters

Novel ZnO Varistors for Dramatically Improving Protective Ef...

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International Conference on Lightning Protection (ICLP)

作者： Pengfei Meng Yao Zhou Jinbo Wu Jun Hu Jinliang He State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China

The insulation level of power apparatus is based on the protection level of overvoltage in power systems. Deeply suppressing the switching overvoltage of UHV systems will reduce the manufacturing cost and technical bottlenecks of UHV power apparatus. We studied the effects of multi-elements doping on the electrical properties of ZnO varistors co-doped with Al2O3, Ga2O3, and In2O3 Scanning electron microscopy, current-voltage testing, capacitance-voltage testing, and X-ray diffraction were performed. The results showed that the residual voltage ratio of sintered varistors decreased as the indium dopant concentration was increased. The samples with 0.03 mol % indium, 0.2 mol % aluminum, and 0.42 mol % gallium showed excellent overall performance, exhibiting a nonlinear coefficient of 61.2, a leakage current of 1.63 μA /cm2, a 1-mA residual voltage of 435 V/mm, and a residual voltage ratio of 1.52. These optimized properties will be of great utility in the manufacture of metal oxide arresters. The protective effects of this kind of novel surge arresters for lightning and switching overvoltage in UHV systems are analyzed. With the low residual voltage ZnO varistors applied to surge arresters will dramatically improving the protective effect of surge arresters, to realize the target to deeply suppress the lightning and switching overvoltages, and then reduce the insulation level and manufacturing bottleneck of UHV power apparatus.

关键词： Zinc oxide II-VI semiconductor materials Arresters Varistors Indium Surges

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The large-size low-stray-parameter planar bus bar for high power IGBT-based inverters

The large-size low-stray-parameter planar bus bar for high p...

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International Conference on Electrical Machines and systems (ICEMS)

作者： Liqiang Yuan Hualong Yu Xuesong Wang Zhengming Zhao Ting Lu State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China

The large-size planar DC bus bar is widely used in high power converters, whose stray parameters are significantly affected the converter reliability and performance. Taking the example of an actual 315kW/400V inverter, the design, simulation and analysis for its bus bar stray parameters is described in detailed. Being different from the conventional method that considers the bus bar conductor as an entirety, an improved method is proposed in this paper, which separates the bus bar into several segments and evaluates the influence of stray parameters in each segment to the power semiconductor devices respectively. Therefore, this improved method can provide support for the more accurate and effective design and optimization of bus bar. In addition, two different structure of bus bar are implemented in the actual inverter, the comparison and analysis of experiment results for both structures proves the validity of the proposed method.

关键词： Inverters Insulated gate bipolar transistors Equivalent circuits Integrated circuit modeling Inductance Conductors Snubbers

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A Multi-Model Fusion Approach for Transformer Fault Detection 4

A Multi-Model Fusion Approach for Transformer Fault Detectio...

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4th IEEE International Conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2024

作者： Zhou, Ke Zhang, Wei Li, Ligang Pan, Shaoming Huang, Chengwei Electric Power Research Institute of Guangxi Power Grid CO. LTD. Guangxi Power Grid Equipment Monitoring and Diagnosis Technology Innovation Center Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Nanning530023 China Shenyang Institute of Automation Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang110016 China Chinese Academy of Sciences Key Laboratory of Networked Control Systems China Power Supply Bureau of Guangxi Hezhou Power Grid Co. Ltd. China

ISBN: (纸本)9798350363586

Addressing the weak generalization capability and suboptimal prediction performance of single mechanistic and data-driven models, this paper proposes a transformer fault detection method based on the fusion of mechanism and data models. Firstly, vibration and current data are collected on-site to train the SVM vibration model and the Adaboost current model. Secondly, current simulation data is obtained using laboratory simulation software. This simulation data, combined with the current data collected under the same conditions on-site, is used as input to train the GBDT error compensation model. Finally, these three models are used as inputs to the GRNN, completing the overall model design. This fusion of mechanistic and data-driven models not only addresses the parameter mismatch issue of the mechanistic model under complex working conditions but also deeply mines time-series data. Experimental results show that The mean squared error of the fusion model is 0.002 lower than that of the data model, and the coefficient of determination is improved by 5.07% compared to the mechanistic model, enhancing the overall predictive accuracy of the model. © 2024 IEEE.

关键词： Data accuracy

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Intelligent controller for LEDs lighting systems supplied by batteries

Intelligent controller for LEDs lighting systems supplied by...

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IEEE Conference on Vehicle power and Propulsion (VPPC)

作者： Bo Feng Zhengming Zhao Yingchao Zhang Dejia Zhou Liqiang Yuan State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China

LED lighting system supplied by batteries is one of effective solutions to vehicle and photovoltaic lighting systems. In order to improve lighting performance and prolong the life of LEDs and batteries, this paper proposes a novel intelligent controller for LED lighting systems. Stage constant current (SCC) control strategy is proposed, which determines the optimal working current of LEDs (I ref ) according to their ambient temperature and the capacity of batteries. For implementing SCC control strategy, a new control algorithm of double current loops and feedforward (DCLF) control is proposed based on Boost converter with constant current source. Both output current and inductor current are used as feedback control variables and input voltage is employed as feedforward compensation in the proposed algorithm. simulations have been conducted using PSIM software; and based on that, a 50 W photovoltaic LED lighting system has been developed to implement a serial of comparative experiments. The results show the advantages and validity of DCLF algorithm, such as excellent dynamic performance and good robustness.

关键词： Lighting control control systems Light emitting diodes LED lamps Photovoltaic systems Solar power generation Battery powered vehicles Optimal control Temperature control Inductors

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