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6th International Conference on Renewable Power Generation

作者： Cui, Zhichao Yuan, Xiaoming Zhang, Meiqing State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan430074 China

With large number of wind farms integrating into grid, the dynamic behaviour of power system has been impacted significantly. To study the impacts of wind farm on power system, the dynamic modelling of wind farm is important. Compared with modelling all the wind turbines of wind farm in detail, aggregating the wind farm to reduce the complexity of model is a better choice. Several studies have put forward some aggregation methods, such as single-machine representation and multi-machine representation. However, applicability of these methods is limited and they cannot aggregate different types of wind turbines. This study proposes a wind farm aggregation method based on motion equation concept. By defining bus voltage as internal voltage of the aggregation model, the relationship between internal voltage and unbalanced power of wind farm is established. An aggregated model of wind farm in DC-link voltage control timescale is built and time-domain simulation results are presented to verify the feasibility of this model. The aggregation method can aggregate wind turbines regardless of their types and working status. In addition, this aggregation method can be applied to modelling other systems in other timescales based on motion equation concept. © 2017 Institution of engineering and technology. All Rights Reserved.

关键词： Equations of motion

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Evaluation of photovoltaic power station operation under the influence of natural environment

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IOP Conference Series: Earth and Environmental Science 2019年第1期354卷

作者： J H Zhang S H Miao Y W Li D Zhang S Y Guo State Key Laboratory of Advanced Electromagnetic Engineering and Technology Hubei Electric Power Security and High Efficiency Key Laboratory School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan 430074 China

This paper presents a method for evaluating the operation statute of photovoltaic power plants. It considers the impact of various kinds of natural environment. Firstly, by analysis the impact of different natural factors on photovoltaic power generation, we can find the most influential factors that affect the output of photovoltaic power station. Secondly, use these factors as a standard to separate the natural environments into different kinds. Thirdly, use the AHP method to establish an indicator evaluation system and multiple indicator weight determination methods for different environments. Then, setting proper formula to evaluation the operation statue of photovoltaic power station. Finally, in part 7 a case is proposed to illustrate the present method.

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Learning from time-synchronized power system measurements with rare anomalous event records to detect PMU data manipulation attacks

Learning from time-synchronized power system measurements wi...

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

作者： Wang, Jingyu Shi, Dongyuan State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electric and Electronic Engineer Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9781538614273

PMU data manipulation attacks (DMA) which maliciously modify the synchrophasor measurements in power systems, is an emerging type of cyber-attack aiming to mislead the control center into taking erroneous control actions. Widespread application of PMU produces a vast amount of time-synchronized historical operating data, making it possible to turn to machine learning approaches to detect the attacks. However, anomalous events occur rarely in practice. To construct a balanced training dataset, where normal and anomalous instances need to be evenly extracted and labeled from historical operating records, is sure to cost plenty of human efforts and may introduce uncontrollable experience errors. In this paper, we design a novel detection model with Synthetic Minority Over-sampling TEchnique (SMOTE)-based data augmentation and Edited Nearest Neighbors (ENN)-based data cleaning technique to reconstruct the imbalanced training dataset into a balanced one to train the subsequent XGBoost classifier. Experiments show that although rare anomalous historical event records are needed, our model is still able to effectively detect out DMAs in power systems. © 2017 IEEE.

关键词： Classification (of information)

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Mixed-time rolling energy optimization of islanded microgrid considering source-load uncertainty

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IOP Conference Series: Earth and Environmental Science 2019年第1期354卷

作者： Y L Liu S H Miao Z W Liu State Key Laboratory of Advanced Electromagnetic Engineering and Technology Hubei Electric Power Security and High Efficiency Key Laboratory School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan 430074 China

Effective energy optimization means make full use of distributed generation, energy storage and load resources in islanded microgrid, reduce system operation and maintenance costs, and increase the service life of equipment. Based on this, a hybrid rolling energy optimization method for islanded microgrid considering source-load uncertainty is proposed in this paper. Firstly, the source-load uncertainty model based on triangular fuzzy number is established, and the uncertainty programming theory is used to transform the model into a deterministic form. Then, considering the demand-side response, an islanded microgrid energy optimization model based on fuzzy chance-constrained programming is established. On this basis, in order to reduce the dependence of the model on prediction accuracy, a hybrid time division method based on sliding time window is proposed, and an adaptive adjustment method of model confidence is proposed to coordinate the robustness and economy of the model. Finally, an example is given to verify the correctness and effectiveness of the proposed energy optimization strategy.

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Energy distribution and security control of hierarchical structure energy storage system 23

Energy distribution and security control of hierarchical str...

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23rd IEEE International Conference on Automation and Computing, ICAC 2017

作者： Yin, Binxin Miao, Shihong Li, Yaowang Ye, Chang Luo, Xing Wang, Jihong State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology China School of Engineering University of Warwick United Kingdom

ISBN: (纸本)9780701702618

A hierarchical structure energy storage (ES) system for photovoltaic (PV) power generation is proposed to make the most use of various kinds of ES devices and reduce cost. The ESs with quick response speed like supercapacitor is used to smooth the variations of PV power;the ESs with large capacity like battery is used to reduce peak and fill valley. The power fluctuations of PV in multiple regions are divided into different frequency segments for stabilization. The system can operate with or without AC grid support. The paper also proposed a protection strategy that adjust the charging or discharging power of the battery in real time with consideration of its state of charge (SOC) and the power limit. The proposed protection strategy ensures the power system security and stability. © 2017 Chinese Automation and Computing Society in the UK - CACSUK.

关键词： Supercapacitor

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Accuracy improvement of remaining capacity estimation for energy storage batteries

Accuracy improvement of remaining capacity estimation for en...

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6th International Conference on Renewable Power Generation

作者： Xu, Cheng Liu, Guo'an Wang, Kangli State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China

Scheduling lithium-ion batteries for energy storage applications in power systems requires accurate estimation of their remaining capacity. Due to the varying discharge rate during a cycle caused by complex operating conditions, conventional estimation methods suffer greatly from poor estimation accuracy. Therefore, this study proposes an improved Ah-counting method for remaining capacity estimation, in which a neural networkbased model is introduced to consider the rate capability of batteries. Moreover, to avoid the inherent error caused by Ah-counting, a straightforward method is applied to the estimation. Simulations show that the estimation accuracy can be effectively improved by the proposed method. © 2017 Institution of engineering and technology. All rights reserved.

关键词： Lithium-ion batteries

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Improved active and reactive power control for symmetrical bipolar MMC-HVDC systems during DC side PTG fault

Improved active and reactive power control for symmetrical b...

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6th International Conference on Renewable Power Generation

作者： Hu, Kai Lin, Lei He, Zhen Xu, Chen State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China

Symmetrical bipolar modular multilevel converter (MMC) combined with two monopolar MMCs has many benefits, such as high voltage and power level and flexible operation modes. However, the active power and reactive power of the MMC stations will reduce to half when direct current (DC) side pole-to-ground (PTG) happens, which will cause large disturbance to the alternating current (AC) grid. This study focuses on an improved active and reactive power control method for a symmetrical bipolar MMC-high-voltage direct current system during PTG fault. The healthy pole is adjusted to overload mode while the faulty pole switches to STATCOM mode. To maximise the utilisation of the operation region for healthy pole, it is analysed based on multi-restrictions of transformer capacity, arm current, submodule (SM) voltage balance, SM voltage fluctuation and DC line overload capacity. By means of the improved active and reactive power control method, the disturbance to the AC grid is minimised. The feasibility of the proposed control method is verified by PSCAD/ EMTDC simulation. © 2017 Institution of engineering and technology. All rights reserved.

关键词： Poles

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Optimised design of DC-side smoothing reactors in meshed multi-terminal HVDC systems based on symmetrical bipolar modular multilevel converter

Optimised design of DC-side smoothing reactors in meshed mul...

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6th International Conference on Renewable Power Generation

作者： Li, Chengzhu Lin, Lei He, Zhen Xu, Chen State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China

Compared with the radial modular multilevel converter multi-terminal direct current (MMC- MTDC) system, the meshed system is with higher power supply reliability and flexibility. However, its vulnerability against DC fault is a significant issue. When a DC fault occurs, the DC-side smoothing reactor will limit rising rate of the fast-developing fault current, and then DC current breakers can isolate the fault. This paper proposes a method to optimise the design of smoothing reactors in meshed MTDC system. Firstly, fault characteristics of fault currents and the whole system based on different smoothing reactors are proposed through theoretical analysis. Then, the simplified calculation steps of fault currents at each point in the meshed system are introduced. Thus, the range of the optimal smoothing reactor can be deduced through comparing the rising rates of each current based on the expected post-fault system States. Finally, the simulation model based on PSCAD/ EMTDC is carried out to prove the correctness of the proposed method, and visually shows the distinct operating States of the system with different smoothing reactor at fault time. © 2017 Institution of engineering and technology. All Rights Reserved.

关键词： Power converters

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Adaptive Supplementary Damping Control of VSC-HVDC for Interarea Oscillation Using GrHDP

Adaptive Supplementary Damping Control of VSC-HVDC for Inter...

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IEEE General Meeting Power& Energy Society

作者： Yu Shen Wei Yao Jinyu Wen Haibo He Weibiao Chen State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronics Engineering Huazhong University of Science and Technology University of Rhode Island Guangdong Power Grid Development Research Institute Co. Ltd.

ISBN: (纸本)9781538677049;9781538677032

Interarea oscillation is one of the main challenges for the secure and stable operation of a large-scale interconnected power system. To address this problem, this paper presents an adaptive supplementary damping controller (SDC) for voltage source converter based high voltage direct current (VSC-HVDC) by using the goal representation heuristic dynamic programming (GrHDP). Compared with conventional heuristic dynamic programming (HDP), GrHDP adds a new goal representation network to generate an adaptive reward signal to achieve better mapping relationship between the system states and the control action. To compensate phase shift between the output and input signals of a complex AC/DC power system, this paper proposes a parallel phase shift channel for the GrHDP. Moreover, the proposed GrHDP-SDC is a model-free control scheme, which does not need the mathematic model of the power system and has quick online learning ability to adapt to the variation of system operating conditions. Case studies are carried out on the 10-machine 39-bus system and 16-machine 68-bus system, respectively. Compared with the conventional lead-lag SDC (LLSDC) and HDP-SDC, simulation results show that the proposed GrHDP-SDC can always provide satisfactory damping performance over a wide range of system operating conditions and disturbances.

关键词： Damping Power conversion Oscillators Power grids Dynamic programming

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Robust Transmission Expansion Planning Incorporating Demand Response and N-1 Contingency

Robust Transmission Expansion Planning Incorporating Demand ...

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2018 4th International Conference on Green Materials and Environmental engineering(GMEE 2018)

作者： Qian-wei ZHENG Ju LIU Meng-lin ZHANG Ling-ling LE Xiao-meng AI Dong-jun YANG Jin-yu WEN State Key Laboratory of Advanced Electromagnetic Engineering and Technology Hubei Electric Power Security and High Efficiency Key Laboratory (Huazhong University of Science and Technology) State grid Hubei electric power company limited economic research institute

Demand response is becoming a rational option to guarantee system reliability and reduce the investment. To tackle the possible overload caused by wind power uncertainty and N-1 contingency, a stochastic mixed integer linear programming model is proposed first. In addition, extreme scenario method is utilized to guarantee the robustness of planning scheme. The proposed method is validated in the modified Garver 6-bus system with practical scenario input. The simulation results demonstrate that the demand response helps to relieve the power flow overload and reducing transmission line investment.

关键词： Transmission network planning Demand response N-1 security criterion Extreme scenario method Mixed integer linear programming

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