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2021 IEEE Sustainable power and Energy Conference, iSPEC 2021

作者： Cui, Liu Peng, Guangqiang He, Jingsong Wu, Jiyang Mao, Chizu Jiao, Ning Electric Power Research Institute China Southern Power Grid State Key Laboratory of Hvdc GuangZhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System GuangZhou China Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid GuangZhou China Maintenance Test Center Ehv Power Transmission Company Guangzhou China Csg Key Laboratory for Dc Transmission Equipment State Evaluation and Fault Diagnosis GuangZhou China Sichuan University College of Electrical Engineering and Information Technology Chengdu China

ISBN: (纸本)9781665414395

Modular multilevel converter (MMC) is currently the most concerned voltage source converter topology in the field of flexible direct current transmission (VSC-HVDC). Due to its non-linear characteristics, harmonic components will inevitably be generated in AC and DC systems, which may affect the operation of equipment and system, cause protection equipment to malfunction, and cause interference to neighboring communications. The MMC converter is a non-linear device, which can be considered as an amplifying modulator with voltage and current conversion functions. The AC and DC networks are coupled to each other through the MMC converter to generate dynamic harmonic interaction. In recent years, harmonic instability problems have appeared in many VSC-HVDC projects. Compared with other converter topologies, the transfer relationship of harmonics on the AC and DC sides of MMC converters has not been studied in depth. In this paper, by studying the AC/DC harmonic conversion characteristics of MMC converters, it reveals the conversion law of MMC converters between AC/DC harmonics;through theoretical derivation, the quantitative calculation method of MMC harmonic transmission process is given. PSCAD simulation results prove the correctness of the above results. © 2021 IEEE.

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SOC balancing strategy for parallel-connected power conversion system based on PQ decoupling control

SOC balancing strategy for parallel-connected power conversi...

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20th International Conference on AC and DC power Transmission 2024 (ACDC 2024)

作者： Ziyi Xiong Aizuo Chen Yanglin Zhou Jinyu Wang Song Ci Department of Electrical Engineering Tsinghua University Beijing 100084 People's Republic of China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing 100084 People's Republic of China School of Electrical Engineering Xi'an Jiaotong University Xi'an 710000 People's Republic of China

ISBN: (数字)9781837241552

Nowadays the battery energy storage system (BESS) plays a significant role in power grid due to its excellent function in energy regulation. In most cases, BESS connects to the power grid through power Conversion system(PCS). However, the state of charge (SOC) of different battery modules tend to be different during the working process. The difference bet ween SOC would intensify buckets effect, and the performance of BESS would be degraded due to the abnormal feature (low SOC) of single battery cell. To avoid such shortcoming, it is necessary to eliminate the difference of SOC though control strategy. In this paper, we propose a SOC balancing strategy for parallel-connected power conversion system based on PQ decoupling control, which can also adjust the active power output of each battery module converge to optimization solution. Simulation and experimental results from a 2 × 700V, parallel-connected power converter system are presented in order to validate the method.

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Optimization Study on the control Strategy of DC Line Fault Recovery for Yongren-Funing HVDC

Optimization Study on the Control Strategy of DC Line Fault ...

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IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Yukun Zhu Libin Huang Shuyong Li Yihua Zhu Yantao Song Ren Liu State Key Laboratory of HVDC China Southern Power Grid Electric Power Research Institute Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China CSG Key Laboratory for Power System Simulation China Southern Power Grid Electric Power Research Institute Guangzhou China XJ Electric Co Ltd Xuchang China

The ±500kV Yongren-Funing HVDC transmission project is the first HVDC project whose sending and receiving ends are both located in the same province. When DC line fault happened under the condition of inter-communication fault between the pole control systems of the rectifier and inverter stations, the HVDC system cannot be blocked because of the frequent repeating actions of the DC line fault recovery in the inverter station. In order to solve the problem, an optimal control strategy of direct blocking HVDC system was proposed to solve the above issue. The optimization control strategy was verified by RTDS simulation. The simulation results showed that the proposed optimization control strategy of the DC line fault recovery could solve the above problems effectively. The proposed strategy has already been implemented on site permanently, which has great significance for the HVDC/UHVDC transmission projects in operation currently.

关键词： HVDC transmission Simulation Capacitors Rectifiers Optimal control system integration Inverters

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Prototype Guided Personalized Federated Intrusion Detection system

Prototype Guided Personalized Federated Intrusion Detection ...

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Smart World Congress (SWC), IEEE

作者： Long Cheng Huiru Yan Hanlin Zhou Ying Wang Haichuan Tang Fang Fang State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer Engineering North China Electric Power University Beijing China Chinese Academy of Sciences Institute of Computing Technology Beijing China AI Lab of CRRC Academy Beijing China

ISBN: (数字)9798331520861

ISBN: (纸本)9798331520878

Preventing network attacks and protecting user privacy are consistently hot research topics in the Internet of Things (IoT) and edge computing fields. Recent advancements in Federated Learning (FL) have shown promise in addressing these challenges. FL allows various clients to collaboratively build an intrusion detection system (IDS) without sharing their private data. However, most existing methods train a single intrusion detection model for all clients and assume that the training and test data distribution are identical, leading to unsatisfactory detection accuracy and generalization abilities in practice. To overcome these challenges, this paper introduces a prototype-guided personalized FL approach named PG-FedIDS. We propose two novel mechanisms within this method. Firstly, we utilize class prototypes as auxiliary information carriers to generate personalized models for each client, rather than generating a single global model as in previous works. Secondly, we propose a prototype-guided ensemble learning strategy, which can leverage the global knowledge in prototypes to enhance detection accuracy and generalization abilities for each client. We conduct extensive experiments on two benchmark datasets with different evaluation test settings. The results demonstrate that our PG-FedIDS achieves promising detection accuracy and consistently outperforms other FL baselines.

关键词： Training Privacy Accuracy Federated learning Image edge detection Prototypes Intrusion detection Data models Ensemble learning Internet of Things

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Research on primary frequency regulation of grid integrated concentrating solar power plant 9

Research on primary frequency regulation of grid integrated ...

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9th China International Conference on Electricity Distribution, CICED 2021

作者： Qian, Minhui Zhao, Dawei Zhao, Liang Zhu, Lingzhi Wu, Fubao Chen, Ning Qin, Wenping Xu, Chang Jiangsu Eng. Technol. Res. Ctr. for Ener. Storage Conversion and Applic. China Elec. Pwr. Res. Inst. State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems Nanjing China Shanxi Key Lab of Power System Operation and Control Taiyuan University of Technology Taiyuan China College of Energy and Electrical Engineering Hohai University Nanjing China

ISBN: (纸本)9781728192291

High share of renewable energy will be one of the basic features of power systems in the future around the world. Compared with photovoltaic (PV) and wind power, concentrating solar power (CSP) equipped with heat storage system has similar regulation characteristics with thermal power units, and it can effectively overcome the intermittent and volatility of PV and wind power generation. Meanwhile, the CSP units can strongly support the voltage, frequency and short-circuit capacity of power systems. So, CSP is a very promising power generation technology for the future power system. The CSP unit has better ramp ability than thermal power unit, and can generally reach a speed between 2% and 5% of rated power per minute. stated thus, the CSP unit has a good potential to participate in the primary frequency regulation of power grid. At present, there are many researches on the performance of each subsystem of the CSP unit in worldwide, and there are also some theoretical researches on the participation of CSP unit in the dispatching operation of power system. However, there is a lack of research reports on CSP plant's participation in the primary frequency regulation of the power grid, which is an urgently needed feature for the future power systems with high share of renewable energy. In this paper, a model with primary frequency regulation ability of CSP unit is established in DIgSILENT powerFactory software. A revised two-area four-machine system is used to investigate the CSP unit's participation in primary frequency regulation of power system. The simulation results show the good frequency regulation performance of CSP unit, which can effectively support the stable operation of power system with high share of renewable energy in the future. © 2021 IEEE.

关键词： Concentrated solar power

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Demand Response Dealing with Adjustable Uncertainty Set of Renewable Energy in Unit Commitment

Demand Response Dealing with Adjustable Uncertainty Set of R...

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IEEE Asia power and Energy Engineering Conference (APEEC)

作者： Zhaohua Hu Meng Xiao Xiangxi Duan Ruiguang Ma Chao Cheng Li Hu Economic Research Institute State Grid Sichuan Chengdu China Sichuan Provincial Key Lab of Power System Wide-Area Measurement and Control University of Electronic Science and Technology of China Chengdu China

Robust optimization approach (ROA) is conservative in tackling the uncertainty of renewable energy (RE) in unit commitment (UC). To deal with this problem of ROA, adjustable uncertainty set (AUS) is proposed and it is a subset of the maximum uncertainty set of RE. However, there exists operational risk of load shedding and RE curtailment in the scenarios where the generation of RE exceeds the AUS. In this paper, demand response (DR) is scheduled to determine the AUS. It reduces the conservativeness of ROA and meanwhile guarantees there is no operational risk. The safe operation of UC is guaranteed in the AUS and DR is used to compensate the RE’s uncertainty when RE is out of the AUS. Through the introduction of the auxiliary constraints and variables, the original UC problem formulation is transformed to a mixed integer linear programming problem and solved by commercial solvers. The proposed method proves effective in IEEE 6-bus and 118-bus systems. Simulation results show that the proposed method reduces the operational cost of UC, and its effectiveness is improved with more participation of DR.

关键词： Electrical engineering Renewable energy sources Uncertainty Costs Simulation Load shedding Demand response

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Effect of carbon black contents on polypropylene-based semi-conductive shielding materials for power cables

Effect of carbon black contents on polypropylene-based semi-...

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Tsinghua University-IET Electrical Engineering Academic Forum 2024

作者： Cheng Tong Xiyu Zhang Shangshi Huang Si Qin Chi Yao Yong Liang Qi Li Jinliang He Yonggui Zhao Jianjian Xu School of Electrical Engineering Guangxi University Nanning Guangxi People's Republic of China State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Tsinghua University Beijing People's Republic of China HJ Polymer China Co. Ltd Jiangyin Jiangsu People's Republic of China State Grid Linyi Power Company Linyi Shandong People's Republic of China

ISBN: (数字)9781837242139

Polypropylene-based semi-conductive shielding materials have emerged as significant areas of research in recent years. This paper has investigated the influence of carbon black contents on the properties of semi-conductive composites. Four specimens have been prepared that impact-resistant polypropylene as the matrix and conductive carbon black as the filler with varying carbon black mass fractions (10%, 20%, 30%, and 40%). The properties of semi-conductive composites have been evaluated including thermal, microstructural, mechanical, and electrical. The findings indicate that carbon black contents significantly influence the mechanical and electrical properties, while its effect on thermal properties are less pronounced. Overall, the semi-conductive composites exhibit optimal properties when the carbon black mass fraction is 30%.

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Simulation research on primary frequency regulation coordination control strategy of hybrid wind-PV-ES power station based on AGC

Simulation research on primary frequency regulation coordina...

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Annual Meeting of CSEE Study Committee of HVDC and power Electronics (HVDC 2023)

作者： S. Li Y. Hu X. He Y. Zhu T. He C. Luo C. Deng G. Zeng M. Su Yunnan Electric Power Research Institute Kunming People's Republic of China National Energy Power Grid Technology R&D Centre Guangzhou People's Republic of China State Key Laboratory of HVDC Electric Power Research Institute CSG Guangzhou People's Republic of China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou People's Republic of China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou People's Republic of China

With the increase of wind and solar renewable energy penetration in power system, the frequency control ability of power system completely depending on traditional power supply has weakened. This actuality requires that renewable energy stations should be equipped with a certain amount of energy storage to improve the primary frequency control ability. This paper considers the fast response ability and flexible control of energy storage for both charging and discharging, as well as its unique frequency response characteristics. Firstly, the control characteristics of the primary frequency regulation of the hybrid wind-solar-storage power station(Wind-PV-ES) are analyzed. By improving the automatic generation control(AGC) strategy of the hybrid Wind-PV-ES power station, a coordinated control strategy for the primary frequency regulation of the hybrid Wind-PV-ES power station is proposed for different frequency ranges based on the improved AGC control. After the primary frequency regulation action, the energy storage output is given priority control before wind and solar. When the energy storage active margin is insufficient, use the frequency regulation capacity of wind and photovoltaic power system to improve the primary frequency regulation capacity of the hybrid Wind-PV-ES power station. The control strategy proposed in this paper can improve the primary frequency regulation capability of renewable energy station. Finally, the paper verifies the effectiveness of the proposed control strategy through simulation.

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Model Predictive control with Reach-avoid Analysis

arXiv

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arXiv 2023年

作者： Ren, Dejin Lu, Wanli Lv, Jidong Zhang, Lijun Xue, Bai State Key Lab. of Computer Science Institute of Software CAS Beijing China University of Chinese Academy of Sciences Beijing China National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Beijing China

In this paper we investigate the optimal controller synthesis problem, so that the system under the controller can reach a specified target set while satisfying given constraints. Existing model predictive control (MPC) methods learn from a set of discrete states visited by previous (sub-)optimized trajectories and thus result in computationally expensive mixed-integer nonlinear optimization. In this paper a novel MPC method is proposed based on reach-avoid analysis to solve the controller synthesis problem iteratively. The reach-avoid analysis is concerned with computing a reach-avoid set which is a set of initial states such that the system can reach the target set successfully. It not only provides terminal constraints, which ensure feasibility of MPC, but also expands discrete states in existing methods into a continuous set (i.e., reach-avoid sets) and thus leads to nonlinear optimization which is more computationally tractable online due to the absence of integer variables. Finally, we evaluate the proposed method and make comparisons with state-of-the-art ones based on several examples. Copyright © 2023, The Authors. All rights reserved.

关键词： Model predictive control

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Mechanism and Influencing Factor Analysis of High Frequency Oscillation in PMSG-Based Wind Farm With Grid-Connected system

Mechanism and Influencing Factor Analysis of High Frequency ...

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IEEE International Conference on Energy Internet (ICEI)

作者： Chao Luo Yihua Zhu Libin Huang Jiawei Yu State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China

Under the background of vigorously developing wind power, permanent magnet synchronous generator (PMSG)-based wind turbines have been widely used in offshore wind farms. However, the high frequency oscillations (HFOs) of PMSG-based wind farms with grid-connected system have occurred frequently in recent years, which have a bad impact on the safe and stable operation of the power system. And current researches only preliminarily reveal the mechanism, which are lacking in discussion on the key factors involved in HFOs. This paper establishes the high frequency impedance model of PMSG-based wind farm with grid-connected system. To identify the key factors involved in HFO, the impedance sensitivity method is used to obtain the quantitative relationship of the influence of each parameter on HFO. It can be concluded that the control delay, LCL filter parameters, collector lines parameters have the greatest influence on the HFO of the wind farm, but the characteristic of negative resistance caused by control delay is the root cause of HFO. Finally, this paper establishes the model of PMSG-based wind farm with grid-connected system on the PSCAD/EMTDC and verifies the correctness of the theoretical analysis. The conclusions of this paper can provide a reference basis for the mitigation strategies of HFOs.

关键词： Wind energy generation Analytical models Sensitivity Wind farms Hafnium oxide Synchronous generators Delays

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