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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Xiao, Bai Zheng, Jia Yan, Gangui Shi, Yonggang Jiao, Mingxi Wang, Yao Dong, Ling Wang, Maochun Yang, Hongzhi Key Laboratory of Modern Power System Simulation and Control Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China Tonghua Power Supply Company State Grid Jilin Electric Power Co. Ltd. Tonghua China Changchun Power Supply Company State Grid Jilin Electric Power Co. Ltd. Changchun China State Grid Qinghai Electric Power Company Xining China

ISBN: (纸本)9781728135205

Aiming at the problem that uncertain power sources bring fluctuation to power system and cause lots of wind and photovoltaic curtailment, a short-term optimized operation method of multi-energy power system based on complementary characteristics of power sources is presented. The complementary mechanism of multi-energy power system is established. Based on the complementary mechanism, mathematical models of complementary objectives and complementary demands are established. Define renewable energy complementary power source. To minimize complementary demands, the capacity matching ratio of hydropower in renewable energy complementary power source is determined. According to the complementary objectives, a hierarchical optimal operation strategy for multi-energy power system is proposed. Particle swarm optimization is used to solve the optimization objective function. Taking a provincial power grid in northwest China as an example, the results show that the strategy makes full use of the complementarity of power sources and has the benefit of energy saving. © 2019 IEEE.

关键词： Energy conservation

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key technologies of the operational reliability evaluation for the large-scale battery energy storage system 7

Key technologies of the operational reliability evaluation f...

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7th International Conference on Reliability of Electrical Products and Electrical Contacts, ICREPEC 2019

作者： Cheng, Lin Wan, Yuxiang Jiang, Yi Wang, Zhidong Liu, Mei State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing100084 China State Grid Economic and Technological Research Institute Corporation Limited State Grid Corporation of China Beijing102209 China

ISBN: (纸本)9789881532343

The large-scale battery energy storage system (BESS) can effectively meet the diversified needs of power grid dispatching. Therefore, the improvement of the BESS operational reliability is of great significance to ensure the operation safety of the grid. However, the BESS is composed of a large number of batteries. This fact suggests the BESS reliability depends not only on the battery operating state but also on the strategy of battery networking reconfiguration. In this paper, the analysis of the operational reliability research of largescale BESS is carried out in-depth. The research status of reliability of large-scale BESS is investigated, and some thoughts on the obstacles to the BESS operational reliability evaluation are given. The promotion of the new technology of BESS and the development of the ubiquitous Internet of Things on BESS operation reliability are analyzed. In addition, the framework of the operational reliability evaluation of a large-scale BESS is proposed. Some key technologies such as failure mechanism, equipment reliability modeling, evaluation, and optimization are summarized, providing some suggestions for the application of large-scale BESS. © 2019 by International Academic Publishers Ltd.

关键词： Electric batteries

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Pitch control Strategy of Permanent Magnet Synchronous Wind Turbine Generator in Response to Cluster Auto Generation control Command

Pitch Control Strategy of Permanent Magnet Synchronous Wind ...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Cui, Yang Zeng, Peng Cui, Cheng-Wei Key Laboratory of Modern Power System Simulation and Control Renewable Energy Technology Ministry of Education North-east Electric Power University Jilin132012 China Neimenggu Power Supply Company Sunite Youqi Power Supply Branch of Xilin Gol Electric Power Bureau INNER MONGOLIA POWER GROUP CO LTD Xilinguole China

ISBN: (纸本)9781728135205

With the development of auto generation control (AGC) technology at home and abroad and the popularization of permanent magnet synchronous wind turbine generator(PMSG), more regions use AGC technology to dispatch power to wind farms. In view of the current problem of permanent magnet wind turbines responding to AGC commands, this paper proposes wind power control strategy for different operating conditions of the unit: For the maximum power output required by AGC, the maximum power tracking control and the pitch control strategy based on the rated speed are adopted according to the current speed;when the AGC requires the output to be reduced, the power difference based on the current speed is used. Pitch control and pitch control strategy based on rated speed. Compared with the traditional control strategy, the pitch control strategy based on the power difference can reduce the control time and suppress the fluctuation range of the active power in the control process. Finally, based on PSCAD, the simulation model of permanent magnet direct drive wind turbine is built and the response of AGC command is simulated under different working conditions, and the effectiveness of the proposed strategy is verified. © 2019 IEEE.

关键词： Wind Turbine Generators

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Thermal Analysis of Internal Short-Circuit Faults in Stator Windings of Multiphase Permanent Magnet Synchronous Generator with Rectifier-load system

Thermal Analysis of Internal Short-Circuit Faults in Stator ...

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International Conference on Electrical Machines and systems (ICEMS)

作者： Daizong Tian Yuguang Sun Wei Du Lin Gui State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing People's Republic of China

The multiphase permanent magnet synchronous generator (PMSG) with rectifier-load systems have been widely used in the mobile platforms that requires high power supply system security. Taking a 6-phase rectifier PMSG as an example, a multi-loop combined with FEM mathematical model is established to analyze the internal short-circuit of stator windings, and a series of fault experiments are carried out on a 6-phase model machine. Using the mathematical model, all the voltages and currents of stator windings are calculated out in both normal operation and various internal short-circuit faults. The simulation results are consistent with the experiment data, which verifies the correctness of the mathematical model. In addition, the simulation currents of the windings could be substituted into the 2D-FEM temperature field calculation model, then the internal temperature field distribution of the model machine under various metallic inter-turn and phase-to-phase short-circuit faults are obtained. The variation analysis of the internal temperature field corresponding to different internal faults provides a basis for the internal fault detection.

关键词： Mathematical model Stator windings Rectifiers Windings Generators Resistance Permanent magnets

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Online detection method for internal fault of permanent magnet synchronous generator based on new type of search coil

Online detection method for internal fault of permanent magn...

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International Conference on Electrical Machines and systems (ICEMS)

作者： Daizong Tian Yuguang Sun Wei Du Lin Gui State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing People's Republic of China

ISBN: (纸本)9781728133997

In order to overcome the limitations of traditional fault diagnosis methods, this paper studies the online detection method of internal faults for permanent magnet synchronous generators (PMSG) based on the new type of search coil. Taking a 6-phase PMSG as an example, two types of search coil are fixed in the air gap according to the pole-pair number and the armature winding structure. A calculation method for the induced EMF of the new type of search coil in the PMSG is presented, which is verified by the model machine experiment. simulation and experiments on the 6-phase PMSG show that the open-circuit voltage of the search coil was zero under normal operation, while an obvious EMF was induced in the search coil once the internal asymmetry fault occurred. And according to the period of the voltage, the fault could be distinguished between the internal fault of the stator winding and the demagnetization fault. Based on the new type of search coil, this paper provides a new way for online monitoring of internal faults of PMSGs.

关键词： Circuit faults Stator windings Harmonic analysis Magnetic fields Windings Generators Demagnetization

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

arXiv

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arXiv 2020年

作者： Qiu, Yiwei Lin, Jin Chen, Xiaoshuang 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 Department of Electrical and Computer Engineering University of Macau 999078 China

—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. Copyright © 2020, The Authors. All rights reserved.

关键词： Monte Carlo methods

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Missing-operation Risk of Directional Comparison Teleprotection with Photovoltaic power Integration 8

Missing-operation Risk of Directional Comparison Teleprotect...

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8th IEEE International Conference on Advanced power system Automation and Protection, APAP 2019

作者： Tu, Qingrui Li, Yiquan Liu, Wei Deng, Xuyang Jiao, Shaolin Wang, Zengchao Wu, Ziliang Suo, Jianglei Shi, Dongyuan System Operation and Control Center of Guangdong Power Grid Guangzhou China Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology Wuhan China

ISBN: (纸本)9781728117225

Although the ac fault current provided by photovoltaic (PV) power plant is limited as a weak-infeed power or a electric load, the voltage and current directions are different from conventional synchronous source, since the current is highly controlled by the PV inverter. This paper investigates the measured impedance and the distance directional element of PV side line protections. The impedance trajectory are drawn and compared with conventional power source. simulation result shows that the directional comparison teleprotections may miss operate under a line internal fault, since the measured impedance drops into the negative direction area, even though the weak-infeed tripping function is activated. © 2019 IEEE.

关键词： Risk assessment

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A distributed strategy-updating rule with event-triggered communication for noncooperative games

A distributed strategy-updating rule with event-triggered co...

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第三十九届中国控制会议

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

This paper focuses on a noncooperative game among a network of agents with double-integrator dynamics. A gradientbased and consensus-based strategy-updating rule is proposed for each agent to attain the Nash equilibrium outcome of the ***, we analyze the implementation of the designed rule with discrete-time communication. An asynchronous eventtriggered communication scheme is presented to ensure the asymptotical convergence to the Nash equilibrium and the network is free of Zeno behavior. simulations are performed on the double-integrator agents to illustrate the effectiveness of the proposed methods.

关键词： Nash equilibrium double-integrator dynamics event-triggered communication noncooperative games

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Deep learning-aided model predictive control of wind farms for AGC considering the dynamic wake effect

arXiv

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arXiv 2020年

作者： Chen, Kaixuan Lin, Jin Qiu, Yiwei Liu, Feng Song, Yonghua State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100087 China Department of Electrical and Computer Engineering University of Macau 999078 China

To provide automatic generation control (AGC) service, wind farms (WFs) are required to control their operation dynamically to track the time-varying power reference. Wake effects impose significant aerodynamic interactions among turbines, which remarkably influence the WF dynamic power production. The nonlinear and high-dimensional nature of dynamic wake model, however, brings extremely high computation complexity and obscure the design of WF controllers. This paper overcomes the control difficulty brought by the dynamic wake model by proposing a novel control-oriented reduced order WF model and a deep-learning-aided model predictive control (MPC) method. Leveraging recent advances in computational fluid dynamics (CFD) to provide high-fidelity data that simulates WF dynamic wake flows, two novel deep neural network (DNN) architectures are specially designed to learn a dynamic WF reduced-order model (ROM) that can capture the dominant flow dynamics. Then, a novel MPC framework is constructed that explicitly incorporates the obtained WF ROM to coordinate different turbines while considering dynamic wake interactions. The proposed WF ROM and the control method are evaluated in a widely-accepted high-dimensional dynamic WF simulator whose accuracy has been validated by realistic measurement data. A 9-turbine WF case and a larger 25-turbine WF case are studied. By reducing WF model states by many orders of magnitude, the computational burden of the control method is reduced greatly. Besides, through the proposed method, the range of AGC signals that can be tracked by the WF in the dynamic operation is extended compared with the existing greedy controller. Copyright © 2020, The Authors. All rights reserved.

关键词： Model predictive control

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Variable Selection Method Based on Partial Mutual Information and Its Application to NOx Emission Prediction

Variable Selection Method Based on Partial Mutual Informatio...

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第三十九届中国控制会议

作者： QIN Tianmu ZHANG Jinzhe YOU Mo YANG Tingting North China Electric Power Research Institute Co. Ltd. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer EngineeringNorth China Electric Power University

Data-driven modeling methods are widely used in industrial processes as the foundation of control and *** selection of optimal variable set plays an important role in model *** order to enhance the model prediction accuracy,a partial mutual information(PMI) method was proposed to select the optimal variable *** were used to validate the effectiveness of PMI ***,PMI method was applied to select main influencing factors of NOx emission of coal-fired boiler and the selection results were used as inputs of three different data-driven *** comparison between the models with or without variable selection was *** results showed that the PMI method enhanced the model prediction accuracy and avoided the over-fitting problem.

关键词： NOx emission coal-fired boiler partial mutual information(PMI) data-driven modeling

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