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6th International Conference on Renewable Power Generation

作者： Wang, Siying Hu, Jiabing Wang, Shuo Tang, Haiyan Chi, Yongning State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan430074 China China Electric Power Research Institute Beijing100192 China

Wind generation have played an important role in the total generation mix in power systems in order to meet the need of environment regulations. The stability of the system frequency May be reduced due to the increasing penetration of wind power, which has attracted wide attention. Several studies have tried to provide the frequency support strategies, but all lack the intensive research of generator frequency response characteristics, the foundation of understanding the system frequency dynamic. To consider the frequency response in weak grid, especially with various complicated control schemes, the uniform comparison is needed. On this basis, this study focuses on wind generators with inertia control and primary frequency control, which can be classified with different strategies and power point track operation. Comparison of the frequency response about synchronous generators, external characteristics (such as turbine inertia and frequency response speed) with typical control schemes and the preliminary idea about modelling is proposed. The simulation result in Matlab/Simulink with the example of doubly-fed induction generator (DFIG) model shows the difference between typical control methods with measurable external behaviours. In addition, the idea and simulation in this paper can be applied to optimise primary frequency control strategies and understand the dynamic of system frequency. © 2017 Institution of engineering and technology. All Rights Reserved.

关键词： Frequency response

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Optimal siting of distributed battery swapping station based on clustering analysis under O2O service model

Optimal siting of distributed battery swapping station based...

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2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017

作者： Zhang, Jianxing Chen, Jiong Duan, Shanxu State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan Hubei Province430074 China NIO Co. Ltd. Jiading District Shanghai201805 China

ISBN: (纸本)9781538614273

Battery swapping mode is a highly competitive and developing mode for the development of electric vehicle (EV). Constructing compact distributed battery swapping stations for EVs in developed cities is a key task and challenge for the development and application of EVs. In terms of the planning of distributed battery swapping stations, after introducing the online to offline (O2O) service based operation mode of it, this paper proposes an optimal siting method to obtain the optimal locations of distributed battery swapping stations using K-means algorithm. Simulation results demonstrate the effectiveness of the proposed method. © 2017 IEEE.

关键词： K-means clustering

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Realistic Measurement Protection Schemes Against False Data Injection Attacks on State Estimators

Realistic Measurement Protection Schemes Against False Data ...

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IEEE Power and Energy Society General Meeting

作者： Jingyu Wang Dongyuan Shi Yinhong Li Jinfu Chen Xianzhong Duan State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology

ISBN: (纸本)9781538622131;9781538622124

False data injection attacks (FDIA) on state estimators are a kind of imminent cyber-physical security issue. Fortunately, it has been proved that if a set of measurements is strategically selected and protected, no FDIA will remain undetectable. In this paper, the metric Return on Investment (ROI) is introduced to evaluate the overall returns of the alternative measurement protection schemes (MPS). By setting maximum total ROI as the optimization objective, the previously ignored cost-benefit issue is taken into account to derive a realistic MPS for power utilities. The optimization problem is transformed into the Steiner tree problem in graph theory, where a tree pruning based algorithm is used to reduce the computational complexity and find a quasi-optimal solution with acceptable approximations. The correctness and efficiency of the algorithm are verified by case studies.

关键词： Smart grids Risk management Indexes State estimation Performance evaluation Steiner trees Optimization

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Improved extreme-scenario extraction method for the economic dispatch of active distribution networks

Improved extreme-scenario extraction method for the economic...

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6th International Conference on Renewable Power Generation

作者： Zhang, Yipu Ai, Xiaomeng Fang, Jiakun Wen, Jinyu State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Hubei ProvinceWuhan430074 China Department of Energy Technology Aalborg University AalborgDK-9220 Denmark

Optimisation techniques with good characterisation of the uncertainties in modern power system enable the system operators well trade-off between security and sustainability. This study proposes the extreme-scenario extraction-based robust optimisation method for the economic dispatch of active distribution network with renewables. The extreme scenarios are selected from the historical data using the improved minimum volume enclosing ellipsoid (MVEE) algorithm to guarantee the security of system operation while avoid frequently switching the transformer tap. It is theoretically proved that if the decision can be adaptive to the selected extreme scenarios, it can be robust to all the possible scenarios. Simulation results demonstrate that the proposed improved MVEE algorithm significantly reduces the number of scenarios, so that the computational burden is dramatically cut down. Additionally, compared to the existing robust optimisation approach, the proposed method is less conservative for the smaller size of the uncertainty set. © 2017 Institution of engineering and technology. All Rights Reserved.

关键词： Extraction

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The anode power supply for electron cyclotron resonance heating system on J-TEXT

The anode power supply for electron cyclotron resonance heat...

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第十八届全国等离子体科学技术会议

作者： C.H.Liu D.H.Xia F.T.Cui Z.J.Wang State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology

The electron cyclotron resonance heating(ECRH) system with 60 GHz/200 k W/0.5 s gyrotron donated by Culham Science Center is being developed on J-TEXT tokamak for plasma heating,current drive and MHD ***,an anode power supply(APS) has been rebuild and tested for the output power control of the gyrotron,which the input voltage is derived from an80 k V negative cathode power *** control strategy by controlling the grid voltage of the tetrode TH5186 is applied to get accurate anode climbing voltage,which the output voltage can be obtained from 0 to 30 k V with respect to cathode power *** characteristic of the APS,including control,protection,modulation,output waveform,were tested with the 100 k V/60 A negative cathode power supply,the dummy load and the ECRH control *** results indicating that the APS can meet the requirements of the ECRH system on J-TEXT.

关键词： J-TEXT ECRH APS TH5186 tetrode fiber isolation

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Research on Low Voltage Ride through Strategy for Power Electronic Transformer

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IOP Conference Series: Materials Science and engineering 2019年第1期486卷

作者： Xiangping Kong Peng Li Jiexiang Han Zhe Zhang Xianggen Yin State Grid Jiangsu Electric Power Co. Ltd. Research Institute Nanjing Jiangsu 211103 China State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan Hubei 430074 China

In view of the operating characteristics for voltage sags of AC side of the power electronic transformer(PET), a low-voltage ride through(LVRT) strategy adapted to bidirectional power exchange of PET is proposed for the purposes of maintaining the system stability, assisting the system voltage recovery and protecting PET safety. During the asymmetric voltage sag, the negative sequence current of PET is eliminated to ensure the symmetry of the injected current. According to the degree of positive sequence voltage sag, the reactive current injection is provided to assist in voltage recovery. According to the PET active power condition before the voltage sag, the level and direction of which are maintained as far as possible without exceeding the limit, for which the disturbance to the AC and DC grids is reduced. Finally, the effectiveness of the proposed LVRT strategy is verified by simulation model.

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Short-Term Photovoltaic Generation Forecasting Based on LVQ-PSO-BP Neural Network and Markov Chain Method

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Journal of Physics: Conference Series 2019年第1期1267卷

作者： Xiran Wang Xue Ma Suhua Lou Fei Peng Song Wu State Key Laboratory of Advanced Electromagnetic Engineering and Technology (College of Electrical and Electronic Engineering Huazhong University of Science and Technology) Wuhan 430074 Hubei Province China State Grid Qinghai Electric Power Company Economic Research Institute Xining 810000 Qinghai Province China

With the rapid development of solar photovoltaic generation, the effective prediction of photovoltaic is of great significance to mitigate its impact on power system. According to the analysis of main factors which affect power output of photovoltaic system, a short-term power forecasting model based on back propagation(BP) neutral network and LVQ-PSO-BP neural network and Markov chain method was established. The weather is clustered and distinguished by using learning vector quantization(LVQ) and the particle swarm optimization(PSO) is used to optimize BP neural network weights and thresholds, improving forecasting network training speed. Finally, daily predictive value is corrected by Markov chain method to improve short-term photovoltaic generation forecasting precision. The simulation results indicate that the proposed method can accelerate the speed of searching optimums, improving the classification accuracy of weather types and the precision of the photovoltaic generation output effectively.

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Transmission Network Expansion Planning Considering the Generators’Contribution to Uncertainty Accommodation

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CSEE Journal of Power and Energy Systems 2017年第4期3卷 450-460页

作者： Xingning Han Liang Zhao Jinyu Wen Xiaomeng Ai Ju Liu Dongjun Yang State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhan430074China Economic&Technical Research Institute State Grid Hunan Electric Power CorporationChangsha410004China State Grid Hubei Economic and Research Institute Wuhan 430074China

This paper presents an optimization for transmission network expansion planning(TNEP)under uncertainty *** TNEP model introduces the approach of parameter sets to describe the range that all possible realizations of uncertainties in load and renewable generation can *** optimizing the TNEP solution,the output of each generator is modeled as an uncertain variable to linearly respond to changes caused by uncertainties,which is constrained by the extent to which uncertain parameters may change the operational range of generators,and network *** paper demonstrates that the robust optimization approach is effective to make the problem with uncertainties tractable by converting it into a deterministic optimization,and with the genetic algorithm,the optimal TNEP solution is derived *** with other robust TNEP results tested on IEEE 24-bus systems,the proposed method produces a least-cost expansion plan without losing *** addition,the contribution that each generator can make to accommodate with every uncertainty is optimally *** imposed by different uncertainty levels are analyzed to provide a compromise of the conservativeness of TNEP solutions.

关键词： Expansion planning renewable energy robust optimization transmission network uncertainty

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Modal analysis of a grid-connected DFIG-based WT considering multi-timescale control interactions

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The Journal of engineering 2017年第13期2017卷 1118-1123页

作者： Minhui Wan Jiabing Hu State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan 430074 People's Republic of China

In a grid-connected doubly fed induction generator (DFIG)-based wind turbine system, the multi-timescale control loops of DFIGs work together to keep the output active/reactive power tracking their references. In weak AC grid condition where the grid impedance cannot be neglected, interactions among those control loops are very strong. This study presents a modal analysis of the system containing a DFIG. The DFIG model for analysis considers multi-timescale control and its interactions. The effect of bandwidths of rotor speed control, phase-locked loop, DC-link voltage control and rotor current control on system stability is presented. Interactions among those control loops are explored. The analysis results indicate that the interactions among multi-timescale control are strong and will have an effect on the stability and the dynamics of the DFIG system under weak AC grid condition.

关键词： power grids asynchronous generators machine control wind turbines position control rotors phase locked loops voltage control power generation control angular velocity control electric current control stability weak AC grid condition system stability rotor current control DC-link voltage control phase-locked loop rotor speed control output active-reactive power tracking multi-timescale control loops wind turbine system doubly fed induction generator multi-timescale control interactions grid-connected DFIG-based WT modal analysis

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Linear demagnetizing strategy of DFIG-based WTs for improving LVRT responses

Linear demagnetizing strategy of DFIG-based WTs for improvin...

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6th International Conference on Renewable Power Generation

作者： Chang, Yuanzhu Kong, Xiangping State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan430074 China State Grid Jiangsu Electric Power Company Research Institute Nanjing211103 China

As doubly fed induction generator (DFIG)-based wind turbines (WTs) have already become a significant power source in modern power systems, its dynamic performance under grid fault is ordered strictly by low-voltage ride through (LVRT) grid codes, namely maintain grid-connected and inject required current rapidly. In this study, LVRT responses of DFIG-based WT, with different LVRT solutions, are analysed and evaluated by natural flux and its corresponding transient recovery period of control ability. Compared to exponential damping characteristics under traditional schemes, linear demagnetising strategy is proposed to realise the optimal damping characteristic in natural flux by making the most of current capacity in rotor-side converter. As a result, LVRT responses are improved effectively, namely transient recovery time and oscillation of required current are decreased, to meet future grid codes. Finally, the superiority of proposed strategy is verified with an insulated gate bipolar transistor-detailed simulation on a general electric (GE) 1.5 MW WT. © 2017 Institution of engineering and technology. All rights reserved.

关键词： Asynchronous generators

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