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Robust Voltage control Considering Uncertainties of renewable Energies and Loads via Improved Generative Adversarial Network

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Journal of modern power systems and Clean energy 2020年第6期8卷 1104-1114页

作者： Qianyu Zhao Wenlong Liao Shouxiang Wang Jayakrishnan Radhakrishna Pillai the Key Laboratory of Smart Grid of Ministry of Education and Tianjin Key Laboratory of Power System Simulation and Control Tianjin UniversityTianjinChina the Department of Energy Technology Aalborg UniversityAalborgDenmark

The fluctuation of output power of renewable energies and loads brings challenges to the scheduling and operation of the distribution *** this paper,a robust voltage control model is proposed to cope with the uncertainties of renewable energies and loads based on an improved generative adversarial network(IGAN).Firstly,both real and predicted data are used to train the IGAN consisting of a discriminator and a *** noises sampled from the Gaussian distribution are fed to the generator to generate a large number of scenarios that are utilized for robust voltage control after scenario ***,a new improved wolf pack algorithm(IWPA)is presented to solve the formulated robust voltage control model,since the accuracy of the solutions obtained by traditional methods is *** simulation results show that the IGAN can accurately capture the probability distribution characteristics and dynamic nonlinear characteristics of renewable energies and loads,which makes the scenarios generated by IGAN more suitable for robust voltage control than those generated by traditional ***,IWPA has a better performance than traditional methods in terms of convergence speed,accuracy,and stability for robust voltage control.

关键词： Robust voltage control uncertainty generative adversarial network wolf pack algorithm

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Remote Sensing Image Object Detection Based on Improved Sparse R-CNN

Journal of Network Intelligence

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Journal of Network Intelligence 2023年第4期8卷 1303-1320页

作者： Zhao, Li-Quan Chen, Chun-Lu Zhong, Tie Cui, Ying Jia, Yan-Fei Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin 132012 China School of Electric Power Engineering Northeast Electric Power University Jilin 132012 China Zhuhai Power Supply Bureau Guangdong Electric Power Corporation Zhuhai 519000 China School of Electrical and Information Engineering Beihua University Jilin 132013 China

A more precise sparse region convolutional neural network algorithm is developed to increase the accuracy of remote sensing object recognition. Firstly, a new intersection over union method is proposed to solve the problem that the intersection over union used in sparse region convolutional neural network cannot well measure the offset between the ground-truth box and the proposal box. It introduces multiple geo-metric factors that are overlap area, center point distance, vertex distance between the ground-truth box and the proposal box, and diagonal distance of minimum enclosing of the ground-truth box and the proposal box and into the new intersection over union. The proposed intersection over union can measure the offset between the ground-truth box and the proposal box to optimal the proposal box. Secondly, to improve the detection precision of sparse region convolutional neural network, a dual branches dynamic instance interaction head is designed. The proposed dynamic interaction head consists of a fully connected branch and a convolution branch. The fully connected head is used for both bounding box regression and object classification. The convolution branch is only used for bounding box regression. Compared with original sparse region convolutional neural network, the average mAP and recall are 3.55% and 5.75% higher, and the average detection speed is only 0.85 FPS slower. The proposed method realizes balance between detection precision and detection speed. © 2023, Taiwan Ubiquitous Information CO LTD. All rights reserved.

关键词： Remote sensing

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Dc Fault Ride-Through control for Mmc-Hvdc Grid-Connected Wind Farm Based on energy Storage system

SSRN

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SSRN 2023年

作者： Sun, Yinfeng Guo, Yuhang Lu, Yuze Lu, Mingzhi Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Grid Shijiazhuang Gaocheng District Electric Supply Company No. 76 Changsheng South Street Gaocheng District Shijiazhuang052160 China

Large wind farms connected to the grid through MMC-HVDC systems can cause overloading of the non-faulty converter station after a DC fault. This short communication proposes a system fault ride-through method by coordinating and controlling the energy storage system, the non-faulty converter station and the wind farm to jointly consume the unbalanced power during the fault. The model is created in the PSCAD simulation platform, and the correctness and effectiveness of the method are verified by simulation. © 2023, The Authors. All rights reserved.

关键词： energy storage

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Dc Fault Ride-Through control for Mmc-Hvdc Grid-Connected Wind Farm Based on energy Storage system

SSRN

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SSRN 2023年

作者： Sun, Yinfeng Guo, Yuhang Lu, Yuze Lu, Mingzhi Key Laboratory of Modern Power System Simulation and Control& Renewable Energy Technology Ministry of Education [Northeast Electric Power University Jilin132012 China State GridShijiazhuang Gaocheng District Electric Supply Company No. 76Changsheng SouthStreet Gaocheng District Shijiazhuang052160 China

关键词： energy storage

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A Novel DC Fault Ride-Through Coordinated control Strategy for DC Grid with Hybrid MMC

SSRN

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SSRN 2022年

作者： Jiang, Shouqi Li, Guoqing Wang, Xiaoxue Xin, Yechun Wang, Weiru Wang, Yanxu Department of Electrical Engineering Northeast Electric Power University Jilin132012 China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132000 China

DC grid based on hybrid modular multilevel converter (MMC) is an effective means to achieve large-scale renewable energy integration, multi-energy complementarity and friendly grid-connection. Aiming at the problem that the traditional DC fault ride-through (FRT) scheme will cause the interruption of power transmission in the whole network, a novel DC FRT coordinated control strategy is proposed in this paper, which can quickly interrupt the fault current and avoid the MMC exiting operation. Based on the analysis of fault current composition and key influencing factors, for fault line MMC (FLMMC), a negative voltage control strategy adaptive to the change of fault current is proposed, which can improve the current attenuation speed and ensure reliable fault isolation. For non-fault line MMC (NFLMMC), considering the overvoltage and overcurrent risks of FLMMC, the coordinated current-limiting control method and parameter selection principle of NFLMMC is proposed, where the current-limiting performance can be adaptive to the voltage change of DC bus, so as to realize the rapid recovery of DC power grid while restraining fault current. Finally, a four-terminal DC grid real-time digital simulation model is built to verify the validity of the proposed FRT coordinated control strategies. © 2022, The Authors. All rights reserved.

关键词： Voltage control

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Grid-forming control of VSC-HVDC systems Connecting Asynchronous power Grids

Grid-forming Control of VSC-HVDC Systems Connecting Asynchro...

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power system and Green energy Conference (PSGEC)

作者： Mingqun Liu Guanming Zeng Xin He Liang Tu Peng He Yihua Zhu Electric Power Research Institute Yunnan Power Grid Co. Ltd. Kunming State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&D Centre Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (数字)9798350365573

ISBN: (纸本)9798350365580

Interconnecting asynchronous power grids with the VSC-HVDC transmission is an important trend. To enhance the weak grid operation performance and grid frequency response capability of the VSC-HVDC system, a novel grid-forming without using the phase-locked-loop is applied in both ends of the VSC-HVDC system. The DC voltage-Active power droop-based grid-synchronization method is utilized. With the proposed method, the sending and the receiving end MMCs perform like a synchronous motor and a synchronous generator, respectively. When the frequency changes in either grid, the system can automatically response to it and change the active power transmission by VSC-HVDC to achieve primary frequency regulation and active frequency support. Finally, the validity of the dual-end grid-forming control is verified based on the simulations in PSCAD/EMTDC.

关键词： power transmission control systems Synchronous motors Market research power grids Synchronous generators Synchronization Phase locked loops Frequency control Grid forming

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A capacitor-type DC circuit breaker for offshore all-DC grids

A capacitor-type DC circuit breaker for offshore all-DC grid...

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energy, power and Electrical Engineering (EPEE), International Conference on

作者： Qianqian Xu Qihui Liu Xipeng Cai Yihua Zhu Chao Luo State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China Laboratory of HVDC Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&D Centre Guangzhou China Laboratory of HVDC Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&D Centre Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China

ISBN: (数字)9798331518066

ISBN: (纸本)9798331518073

Full DC of offshore wind farms is the future development trend of large-scale offshore wind farms, however, the probability of DC line faults is high, and the use of DC circuit breakers can realise the fault ride-through of offshore full DC wind farms, improve the safe operation of the system during faults, and is one of the mainstream solutions to realise DC fault isolation. In this paper, a capacitive DC circuit breaker suitable for offshore full DC grid is proposed, which can effectively suppress the fault current by introducing a current limiting device. The topology and working principle of this circuit breaker are analysed, and the circuit breaker fault handling process is theoretically analysed. Finally, for the single-end equivalent system using capacitor-type DC circuit breaker, a simulation model is established in Matlab/Simulink software for verification, and the simulation results show that the proposed circuit breaker has a better current limiting effect and has the ability to isolate faults quickly.

关键词： Thyristors Limiting Circuit breakers simulation Wind farms Software Topology Circuit faults Fault currents Switching circuits

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General Impedance Modeling for Modular Multilevel Converter with Grid-forming and Grid-following control

arXiv

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arXiv 2024年

作者： Sun, Chu Zhang, Fei Xiao, Huafeng Wang, Na Chen, Jikai The School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm11428 Sweden The School of Electrical Engineering Southeast University Nanjing210096 China The School of Automation Science and Electrical Engineering Beihang University Beijing100191 China The Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China

Modular multilevel converter (MMC) has complex topology, control architecture and broadband harmonic spectrum. For this, linear-time-periodic (LTP) theory, covering multi-harmonic coupling relations, has been adopted for MMC impedance modeling recently. However, the existing MMC impedance models usually lack explicit expressions and general modeling procedure for different control strategies. To this end, this paper proposes a general impedance modeling procedure applicable to various power converters with grid-forming and grid-following control strategies. The modeling is based on a unified representation of MMC circuit as the input and output relation between the voltage or current on the AC side and the exerted modulation index, while the control part vice versa, thereby interconnected as closed-loop feedback. With each part expressed as transfer functions, the final impedance model keeps the explicit form of harmonic transfer function matrix, making it convenient to directly observe and analyze the influence of each part individually. Thereby the submodule capacitance is found as the main cause of difference between MMC impedance compared to two-level converter, which will get closer as the capacitance increases. Effectiveness and generality of the impedance modeling method is demonstrated through comprehensive comparison with impedance scanning using electromagnetic transient simulation. Copyright © 2024, The Authors. All rights reserved.

关键词： Harmonic analysis

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Ultra-short-term Multi-step Prediction of Wind power based on iHHT and TSLANet

Ultra-short-term Multi-step Prediction of Wind Power based o...

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

作者： Xiangyu Li Mao Yang Li Sun Yunpeng Jia Guozhong Fang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China Changchun Power Supply Company of State Grid Jilin Electric Power Co. Ltd. Changchun China Jilin Power Supply Company of State Grid Jilin Electric Power Co. Ltd. Jilin China State Grid Northeast China Branch Shenyang China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

With the increasing proportion of renewable energy sources such as wind power in the energy structure, high penetration of wind power has become crucial for the normal operation of the power system. In order to improve the accuracy of wind power prediction, this study proposes a wind speed correction algorithm based on improved Hilbert-Huang Transform (iHHT), and introduces TSLANet network for multi-step prediction of ultra short term wind power. Firstly, the improved HHT method was used to decompose and analyze the wind speed in Numerical Weather Prediction (NWP), effectively solving the mode mixing problem in Empirical Mode Decomposition (EMD). Next, model the model through linear network layers and determine the weight coefficients. Finally, the corrected wind speed data is input into the TSLANet network for feature learning and ultra short term multi-step wind power prediction. The experimental results indicate that the method proposed in this study can effectively improve the accuracy of power prediction.

关键词： Representation learning renewable energy sources Accuracy Wind speed Weather forecasting system integration Prediction methods Wind power generation Prediction algorithms Numerical models

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Different Switching Positions of On-Load-Tap-Changer of Converter Transformer with Delay Angle control Harmonic Current Characteristics Analysis

Different Switching Positions of On-Load-Tap-Changer of Conv...

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power Science and technology (ICPST), IEEE International Conference on

作者： Zelang Wang Weiju Dai Dexu Zou Zhihu Hong Qiyuan Cui Jianping Hu Ning Zhang Jixiang Wang Yunnan Power Grid Co. Ltd Kunming China Electric Power Research Institute Yunnan Power Grid Co. Ltd Kunming China Chuxiong Power Supply Co. Yunnan Power Grid Co. Ltd Chuxiong China Yuxi Power Supply Co. Yunnan Power Grid Co. Ltd Yuxi China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China State Key Laboratory of Power Transmission Equipment &System Security and New Technology Chongqing University Chongqing China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

The fundamental components of the UHV DC transmission control system, which are essential to the reliable functioning of the HVDC transmission system, are converter valve delay angle control and converter transformer on-load tap-changer (OLTC) control. However, the converter's harmonic current change rule is directly impacted by the intricate regulatory approach. Thus, using the line commutated converter (LCC) type conventional DC transmission system as an example, we build a control circuit model of delay angle control coupled with tap control in this paper. Current and minimum α angle are constant for the rectifier side, and current and γ angle are constant for the inverter side. The current waveform of the converter transformer network and valve side during the voltage boost and buck process is examined by turning the tap. The findings of the simulation demonstrate that the current waveform's degree of distortion varies with various tapping, with the most severe waveform distortion occurring during the boost operation, which has localized sharp waves and a high harmonic content. Conversely, there is less harmonic content and the waveform tends to be more regular.

关键词： Gears Harmonic analysis Transformers control systems Distortion Valves Delays

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