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power and electrical engineering (ACPEE), 5th Asia Conference on

作者： Yasen Guo Shan Gao Xin Zhao Yu Liu Yiqing Zhang Liang Zhao Ruoying Yu School of Electrical Engineering Southeast University Nanjing China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China

ISBN: (数字)9781728152813

ISBN: (纸本)9781728152820

With the increasing penetration of renewable sources, solar power generation systems, such as photovoltaic (PV) and concentrating solar power (CSP), play a crucial role among various energy utilization. Largely introducing PV may have positive economic benefits but also harmful impacts on stability meanwhile due to its intermittent characteristics. However, thermal energy storage (TES) exhibits great potential in solving the problem by smoothing the variable output despite its high costs; therefore, large-scale integrated plants are in line with the market trend and worth of in-depth study. In this paper, the configuration-dispatch scheme with security and economy evaluation of large-scale hybrid PV/CSP generation plants is proposed, aiming at comprehensive and reasonable capacity determination of plant planning. Firstly, the modelling of each solar subsystem is presented, as well as the operation schemes of DC transmission channel according to the demand of receiving side. Then, the configuration-dispatch optimization model is presented to maximum the techno-economic benefits of whole systems, including the object and operation constraints. Furthermore, an instructive and comprehensive evaluation index system is established concerning economy and security impacts. The validity of the proposed scheme is examined based on a large-scale hybrid solar generation base in northwest China.

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On the mechanism and control for the ultra-low frequency oscillation in NY power Grid with large-scale hydropower

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control Theory and Technology 2019年第3期17卷 241-251页

作者： Ancheng XUE Jiawei WANG Chao ZHENG Joe H.CHOW Tianshu BI State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source (North China Electric Power University) Changping District Beijing 102206 China China Electric Power Research Institute Haidian District Beijing 100192 China Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy 12180 New York State U.S.A.

The power grid with large proportion of hydropower may engage the ultra-low frequency oscillation (ULFO),which threatening the operation of *** the NY power Grid system,whose dimension is over thousands,this paper reveals the cause of ULFO with the phase portrait method,i.e.,lies in the saturation of the different limits of the governor system of the generators,in other words,the occurrence of limit cycle is due to the non-smooth *** furthermore,it proposes two methods to suppress ULFO with the philosophy of destroying the condition of non-smooth *** detail,first,the phenomenon of ULFO in NY power Grid,the damping characteristics and the limits in the governor system of the hydropower units are ***,based on the non-smooth bifurcation theory,the mathematical basis of the oscillation in the non-smooth system caused by the saturation of limits is *** then,the non-oscillation and oscillation dynamic of the system corresponding to without/with limits in the governor system are ***,it discusses the influence of the saturation of single limit on the characteristics of ULFO with the phase ***,the phase portraits of the ULFO under different faults is analyzed,and it shows that the limiting saturation occurs with a large enough ***,the ULFO is resulting from the negative damping of generation and the saturation of multiple limits under a large enough *** addition,according to the above mechanism,two strategies to suppress the ULFO,i.e.,the governor parameters tuning and the fault strength relief are *** simulation shows the effectiveness of proposed strategies.

关键词： Ultra -low frequency oscillatio n gover nor system limit no rnsmooth bifurcation limit cycle

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Space Charge Characteristics of Oil-paper under AC/DC Composite Voltage

Space Charge Characteristics of Oil-paper under AC/DC Compos...

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Conference on electrical Insulation and Dielectric Phenomena, (CEIDP)

作者： Yuanxiang Zhou Xin Huang Ling Zhang Yunxiao Zhang Zhongliu Zhou Chenyuan Teng Lei Xue Meng Huang The Wind Solar Storage Division of State Key Laboratory of Power System and Generation Equipment School of Electrical Engineering Xinjiang University Urumqi China China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Haidian Beijing China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power Universiy Beijing China

ISBN: (纸本)9781728195728;9781728195735

Oil-paper insulation bears AC/DC composite voltage in converter transformers. However, the AC/DC space charge behavior is still not clear, which will result in electric field distortion, material aging and even insulation failure. In this work, the space charge distribution of oil-paper under the AC/DC composite voltage with the AC/DC ratio of 1:1, 1:3, 1:5, and 1:7, is studied by pulse electroacoustic (PEA) method, respectively. It was found that as DC component increases, the accumulated charge near the electrode decreases, while the interior charge increases. It suggests that DC stress mainly influences the amount and the depth of space charge accumulation. AC component has a relatively significant impact on the injection and extraction behavior of space charge near the electrode. Furthermore, AC/DC composite voltage enhances the migration of space charge compared with that under DC voltage. This research contributes to the further understanding of the space charge characteristics of oil-paper under AC/DC composite voltage, which will benefit the safe and stable operation of converter transformers.

关键词： Electrodes Conferences Space charge Oil insulation Aging Distortion Dielectrics

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Investigating the transient torque of turbo-generators in a power system integrating wind farms 8

Investigating the transient torque of turbo-generators in a ...

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8th Renewable power Generation Conference, RPG 2019

作者： Yang, Bowen Yan, Gangui Xie, Xiaorong Wang, Yanhui Tang, Jian Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China State Key Laboratory of Power System Department of Electrical Engineering Tsinghua University Beijing China State Grid East Mongolia Electric Power Supply Co. Ltd. Hohhot China

ISBN: (纸本)9781839531255

The renewable energy sources connected to the grid will cause the power system to oscillate and even affect neighbouring turbo-generators. For example, the wind turbines and their converter control systems may cause shaft torsional vibration in the steam turbine units, which affects the safety of the system. Therefore, it is of significance to investigate the transient torque of turbo-generators in a power system integrating wind farms. This paper takes a power plant in Inner Mongolia area of China as the case, the power of which is transmitted via the AC/DC hybrid power system with wind and thermal power. A typical equivalent system model of the wind-thermal-bundled access network is established firstly. Consider setting the fault on the line with series capacitor compensation and observe units' torque variation. Then the impact on sub-synchronous resonance (SSR) characteristics from many factors was investigated through the time-domain simulation, including the unit combination mode (including the long-term accessed DFIGs condition), the fault type and position, the system equivalent impedance, the fault starting/clearing time and the mechanical mutual damping coefficient of shafting, etc. Finally, the influence of each factor on transient torque is summarized, and the inner associations between the shaft torsional vibration in the turbo-generators and the converter-based wind turbines are clarified. © 2019 Institution of engineering and Technology. All rights reserved.

关键词： Wind turbines

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Analysis of fatigue life loss of drivetrain of doubly-fed wind turbines under short-circuit fault of power grid 8

Analysis of fatigue life loss of drivetrain of doubly-fed wi...

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8th Renewable power Generation Conference, RPG 2019

作者： Shilong, Qiu Hui, Li Lijiao, Gong Bin, Wang Zhaoseng, Chai You, Wu Department of Mechanical and Electrical Engineering Shihezi University Shihezi China State Key Laboratory of Power Drivetrain Equipment and System Security Chongqing University Chongqing China State Key Lab of Control and Simulation of Power Systems and Generation Equipments Department of Electrical Engineering Tsinghua University Haidian District Beijing China

ISBN: (纸本)9781839531255

The shafting drivetrain of the doubly fed wind turbine is the part with the highest failure rate. The electromagnetic torque fluctuation caused by the grid fault easily results in the torsional vibration fatigue loss of the shaft. Accordingly, the influences of drivetrain fatigue life loss under different grid faults require investigation. Firstly, the four-mass model of the drivetrain is constructed on the basis of MATLAB/Simuhnk. Secondly, the electromagnetic torque response under short-circuit fault of the grid is obtained via model simulation. Finally, the effects of different types of grid faults on the fatigue life of the drivetrain are analysed through Mlife. Results show that the electromagnetic torque fluctuation load generated by grid fault has no apparent influence on the fatigue life of the drivetrain in the short term. but the cumulative effect of short-term damage will aggravate the fatigue life loss of the drivetrain and increase the failure risk of the component. The electromagnetic torque generated by the three-phase symmetrical short-circuit is the most violent and has the maximum effect on the fatigue life of the drivetrain. © 2019 Institution of engineering and Technology. All rights reserved.

关键词： Timing circuits

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Unbalanced Voltage Compensation Strategy for Doubly Fed Induction Generator Based on Self-Synchronization control without Phase-Locked Loop

Unbalanced Voltage Compensation Strategy for Doubly Fed Indu...

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IEEE/IAS Industrial and Commercial power system Asia (I&CPS Asia)

作者： Hao Tong Heng Nian Jing He Qiongfeng Zhu Yingzong Jiao Bo Pang Xiao Jin College of Electrical Engineering Zhejiang University Hangzhou China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems (China Electric Power Research Institute) Beijing China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143040

This paper investigates the unbalanced voltage compensation strategy of the point of common coupling (PCC) for doubly fed induction generator (DFIG) based on self-synchronization control without phase-locked-loop (PLL). The direct power control (DPC) scheme is implemented in a synchronous reference frame with the fixed angular frequency to avoid potential instability issues caused by PLL under nonideal grid voltage. The unbalanced voltage compensation strategy is proposed based on resonant compensator of PCC voltage. In order to balance the operation performance of DFIG and the power quality of PCC voltage, this paper uses a hybrid virtual impedance (HVI) method to achieve flexible compensation and avoid overmodulation, which needs both the feedforward of the PCC voltage and the feedback of the output current to develop the voltage references. Finally, the results of simulation validate the availability of the proposed compensation strategy.

关键词： electrical engineering Doubly fed induction generators Renewable energy sources Energy storage Industrial power systems Asia

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Modeling and simulation of virtual synchronous generator for DFIG wind turbine generator 8

Modeling and simulation of virtual synchronous generator for...

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8th Renewable power Generation Conference, RPG 2019

作者： Zhu, Qiongfeng Chen, Ziyu Feng, Shouhong Wang, Yufeng Zhang, Bowen Li, Weilin State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing China Department of Electrical Engineering School of Automation Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9781839531255

With the rapid development of the wind power generation, the penetration rate of wind power is gradually increasing, which affects the stable operation of the power system. The DFIG wind turbine generator can realize decoupling control of output active and reactive power by vector transformation control. However, under this power control, wind turbines do not have the electromechanical transient characteristics like synchronous generators for supporting the stable operation of the power system. Virtual synchronous generator technology can make the wind power system reflect the operation mechanism and external characteristics of traditional synchronous generators to improve the stability of power system. This paper builds a generic simulation model of current source type DFIG wind turbine generator based on VSG technology, which can simulate a series of VSG behaviors including virtual inertia control, damping control, primary frequency control, reactive power control and fault ride through. The developed simulation model is also validated comparing to the actual wind turbine field testing data, which shows accurate and reliable simulation results. The developed simulation model can provide theoretical and model basis for studying VSG technology and grid integration characteristics. © 2019 Institution of engineering and Technology. All rights reserved.

关键词： Wind Turbine Generators

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Reliable Task Offloading for Vehicular Fog Computing under Information Asymmetry and Information Uncertainty

Reliable Task Offloading for Vehicular Fog Computing under I...

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作者： Zhou, Zhenyu Liao, Haijun Zhao, Xiongwen Ai, Bo Guizani, Mohsen State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Electrical and Electronic Engineering North China Electric Power University Beijing China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China Department of Computer Science and Engineering Qatar University Doha Qatar

Vehicular fog computing has emerged as a cost-efficient solution for task processing in vehicular networks. However, how to realize effective server recruitment and reliable task offloading under information asymmetry and uncertainty remains a critical challenge. In this paper, we adopt a two-stage task offloading framework to address this challenge. First, we propose a convex-concave-procedure-based contract optimization algorithm for server recruitment, which aims to maximize the expected utility of the operator with asymmetric information. Then, a low-complexity and stable task offloading mechanism is proposed to minimize the total network delay based on the pricing-based matching. Furthermore, we extend the work to the scenario of information uncertainty and develop a matching-learning-based task offloading mechanism, which takes both occurrence awareness and conflict awareness into consideration. Simulation results demonstrate that the proposed algorithm can effectively motivate resource sharing and guarantee bounded deviation from the optimal performance without the global information. © 2019 IEEE.

关键词： Fog computing

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Integrated generation–consumption dispatch based on compensation mechanism considering demand response behavior

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Journal of Modern power systems and Clean Energy 2018年第5期6卷 1025-1041页

作者： Yumin ZHANG Xueshan HAN Li ZHANG Bo XU Mingqiang WANG Ming YANG Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University

Demand response(DR) is important to account for behaviors of the demand side to yield an optimal dispatch result. However, it is difficult for energy suppliers to collect customers' private information unless there is an incentive mechanism for customers to do so. Therefore,this paper proposes a new integrated generation–consumption dispatch based on compensation mechanism considering DR behavior. Firstly, in light of the dayahead load forecast data, we deduce the utility function model of different customers. By subtracting generating units' operation cost from consumers' total utility, the dispatch model has a decentralized demand participant structure based on this utility function. The utility function is used to describe consumers' preferences and energy consumption behaviors. Secondly, an effective compensation mechanism is designed to ensure customers to select the level of compensation appropriate to their willingness to curtail load. Finally, a new dispatch model is proposed that incorporates the DR compensation mechanism into the generation–consumption dispatch model. The new model can improve the interaction of generation and consumption,and benefit both the energy supplier and its customers. The proposed model is piecewise linearized and solved by a mixed-integer linear programming method. It is tested on a six-bus system and the IEEE 118-bus system. Simulation results show that the proposed model can realize both maximum social welfare and Pareto optimal results.

关键词： Compensation mechanism Demand response Demand utility function Integrated generation– consumption dispatch

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Short-Term Wind power Prediction Based on Wavelet Transform and Convolutional Neural Networks

Short-Term Wind Power Prediction Based on Wavelet Transform ...

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IEEE/IAS Industrial and Commercial power system Asia (I&CPS Asia)

作者： Peng Xiaosheng Cheng Kai Wang Bo Che Jianfeng Xu Qiyou Yang Fan Li Wenze State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143040

Wind power prediction (WPP) is critical to the safe operation and economic dispatch of power systems, but it faces two challenges: 1) Information on different frequency bands is included in the numerical weather prediction (NWP) data, making it difficult to mine vital information if the original NWP data is directly applied as input data; 2) There is a strong nonlinear relationship between the input and output data in the WPP model, meaning that traditional models are difficult to fit accurately. This paper proposes a new short-term WPP model based on wavelet transform (WT) and convolutional neural networks (CNN). First, WT is applied to split the original NWP data and historical power data into multiple sets of different frequency components. Then, based on the NWP and historical power data sets of relevant frequencies, CNN models are established for prediction. Finally, based on the prediction results of different frequency components, inverse WT is applied to reconstruct the WPP results. This case study shows that 1) the WT method allows for effective mining of the information contained in the different frequency components of the NWP data; and 2) when the WT-CNN model is applied to predict the wind power in the next 12 hours, the NRMSE of the model is reduced by 1.55 percentage points compared with Back Propagation Neural Network.

关键词： Wind power generation Data models Predictive models Time-frequency analysis Feature extraction Wavelet transforms Convolution

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