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grid-forming control of VSC-HVDC Systems Connecting Asynchronous power grids

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

引用

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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Nonlinear Optimal control Method for DC/DC Converters in DC Microgrid Based on the Differential Geometry Theory

Nonlinear Optimal Control Method for DC/DC Converters in DC ...

引用

IEEE Information Technology and Mechatronics Engineering Conference (ITOEC)

作者： Tianyu Guo Haiping Guo Liang Tu Libin Huang Yuanhong Lu State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid 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

The DC/DC converter in the DC microgrid is the core device that supports the efficient grid connection of power electronic drive devices such as new energy generation units and energy storage devices. In view of this, this paper proposes a nonlinear optimal control method for DC/DC converters based on differential geometry theory, aiming at the nonlinear characteristics of the mathematical model of the converter. First, the topology structure of the DC microgrid is analyzed, and the mathematical model of the DC/DC converter is established; Secondly, the basic principle of power system nonlinear control based on differential geometry theory is discussed, and the nonlinear optimal controller for DC/DC converter is designed based on the accurate linearization method in differential geometry theory to quickly suppress power disturbance and realize the efficient grid connection application of power electronic drive equipment. Finally, the correctness and effectiveness of the proposed nonlinear optimal method were verified based on MATLAB/simulink.

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A Coordinated Optimization Method for Source-Load-Storage in Renewable power System Considering Overcharge/Overdischarge Cost of Stored Energy

A Coordinated Optimization Method for Source-Load-Storage in...

引用

IEEE Information Technology, Networking, Electronic and Automation control Conference

作者： Tianyu Guo Libin Huang Haiping Guo China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China China Southern Power Grid CSG Key Laboratory for Power System Simulation Electric Power Research Institute Guangzhou China

Building a renewable power system with renewable energy as the main part can give full play to the regulatory capacity of sources, network, loads, storage and other types of controllable resources. It is the key to promoting clean energy transformation and achieving the goal of carbon peaking and carbon neutralization, and has become a research hotspot in the energy field. In this paper, a coordinated optimization method for source load storage in renewable power system considering overcharge/overdischarge cost of stored energy is proposed. Two state of Charge (SOC) thresholds for the energy storage are set, when the SOC exceeds the corresponding threshold, the cost of overcharge/overdischarge penalty is added respectively to effectively balance the security and regulation capability of energy storage; Then, set the wind/light abandonment cost and the demand response cost of adjustable load, to coordinate the output of source, load and energy storage, to improve the regulation capacity of the renewable power system. Finally, the correctness and rationality of the method proposed in this paper are effectively verified.

关键词： Renewable energy sources Wind Costs Optimization methods Regulation Demand response power systems

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Accurate Identification and Localization of Transmission Lines under Complex Lighting for Distribution Network power Supply operation Robots

Accurate Identification and Localization of Transmission Lin...

引用

2024 China Automation Congress, CAC 2024

作者： Liu, Tianhe Chen, Xin Hu, Chenyu Jian, Xu Li, Shengzu Wang, Gang School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China Equipment Technology Center State Grid Hubei Electric Power Co. Ltd. Electric Power Science Research Institute Wuhan430077 China Distribution Department State Grid Hubei Electric Power Co. Ltd. Wuhan Power Supply Company 430070 China

ISBN: (纸本)9798350368604

Accurate identification and position of transmission lines is critical for robots to safely and effectively perform distribution network operations. However, such tasks are often challenged by complex lighting conditions, where depth information can be easily lost. Transmission lines have limited texture features and reflective surfaces, making it difficult to match image feature points. To address these challenges, this paper proposes a visual perception system for weak texture targets under complex lighting, based on an "eye-on-hand" configuration and a depth complementation algorithm. Furthermore, a high-precision identification and localization method for transmission line grasping points is developed, utilizing the fusion of binocular visual color maps and depth maps. The proposed method has been shown to effectively solve the problem of identifying and localizing the grasping points of transmission lines under complex lighting conditions. Experiments demonstrated that the method can improve the localization accuracy to within ±4mm, outperforming other algorithms. The method is characterized as simple and efficient, and it enhances the environmental adaptability of distribution network robots. © 2024 IEEE.

关键词： Binocular vision

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Prediction and Preventive control Scheme for Wind and PV power Ramp Events

Prediction and Preventive Control Scheme for Wind and PV Pow...

引用

IEEE International Conference on power and power and Renewable Energy (ICPRE)

作者： Yifei Zhai Zengwei Wang Kunpeng Zhang Huan Ma Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China Power Grid Technology Center State Grid Shandong Electric Power Research Institute Jinan China

ISBN: (数字)9798350377460

ISBN: (纸本)9798350377477

As the large scale integration of photovoltaic and wind power into the grid increases, renewable energy ramp events have become a potential threat to the secure operation of the power grid. To effectively address renewable energy power ramp events, this paper proposes a prediction and preventive control scheme. First, a rolling warning approach is achieved by the long short-term memory network and fuzzy logic, which provides warning levels and guides decision-making for preventive control. Second, a two-stage optimization scheduling model is proposed, including a day-ahead and an intra-day sub-model. The two-stage scheduling model comprehensively considers power support from interconnectors and preventive control costs. Simulation results demonstrate that the proposed scheme can provide adaptive preventive control strategies for power ramp events with varying risk levels, thereby enhancing the utilization of renewable energy and improving the security of power system.

关键词： Photovoltaic systems Renewable energy sources Adaptation models Costs Simulation Decision making power system stability Wind power generation Wind forecasting Transient analysis

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A Transient Voltage Stability Preventive control Strategy for DC Receiving-end power System

A Transient Voltage Stability Preventive Control Strategy fo...

引用

IEEE International Conference on power and power and Renewable Energy (ICPRE)

作者： Lian Tu Shuiping Zhang Hengdao Guo Bo Bao Yihua Zhu Jian Zuo China Southern Power Grid Power Dispatch and Control Center of Guangdong Power Grid Co. Ltd China China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute China National Energy Power Grid Technology R&D Centre China Operation and Control for New Energy Power System Guangdong Provincial Key Laboratory of Intelligent China

With the increase of DC feed power and the decrease of the number of synchronous machines, receiving-end power system takes a serious threat to the transient voltage stability. Therefore, a transient voltage stability preventive control strategy for DC receiving-end power system is proposed in this paper. The whole method is decomposed into three sub-problems: transient voltage stability assessment, sensitivity computation and optimal control. A transient voltage stability index suitable for the sensitivity method is used to construct the transient voltage stability constraints. The accuracy and efficiency of the solution algorithm are improved by limiting the effective control interval of sensitivity and selection of the initial control set. The method has been applied in a provincial power grid in southern China. The results verifies the effectiveness of the proposed method.

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A Remote Sensing Object Classification and Extraction Method Based on Improved U-Net 1

A Remote Sensing Object Classification and Extraction Method...

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1st IEEE International Conference on Data Intelligence and Innovative Application, DIIA 2024

作者： Wen, Lili Qu, Hui Wu, Man Lai, Junxiang Zhang, Wei Research Center for Carbon Sink and Low-Carbon Engineering Beibu Gulf of Guangxi Guangxi Academy of Marine Sciences line Nanning China National Marine Data and Information Service Tianjin China School of Electrical Engineering Guangxi University Nanning China Guangxi Academy of Sciences Guangxi Key Laboratory of Marine Environmental Science Nanning China Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Guangxi Key Laboratory of Intelligent Control and Operation and Maintenance of Power Equipment Nanning China

ISBN: (纸本)9798331504434

This paper addresses the problems of low accuracy and poor adaptability to complex scenes in traditional remote sensing object classification methods, and proposes a remote sensing object classification extraction method based on an improved U-Net. We retained the U-shaped symmetrical structure of U-Net and introduced the Swin Transformer block with self-attention mechanism to replace the original convolutional operation, enhancing the model's ability to extract global features. We also constructed a Bottleneck structure between the encoder and decoder to learn deep feature representations and form a new U-shaped network based on Transformer, improving the network's image semantic segmentation ability in scenarios with small targets and complexity. Experimental results show that the method proposed in this paper has an improvement of more than 9% in evaluation indicators such as recognition accuracy and recall rate compared with existing U-Net and Res-UNet methods, has high semantic segmentation accuracy and robustness, and provides new ideas and technical support for remote sensing image object classification extraction. © 2024 IEEE.

关键词： Semantic Segmentation

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Planning Method for Layered and Partitioned Integration of Renewable Energy 5

Planning Method for Layered and Partitioned Integration of R...

引用

5th IEEE International Conference on Electronics Technology, ICET 2022

作者： Yang, Jinye Cao, Yongji Zhang, Hengxu Mi, Yuanze Sun, Leshu Li, Chen Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China Technical University of Denmark Department of Electrical Engineering Lyngby Denmark State Grid Jinan Electric Power Company State Grid Shandong Electric Power Company Jinan China

ISBN: (纸本)9781665485081

Considering the problems of power flow fluctuation and voltage excursion caused by the large-scale integration of renewable energies, a layered and partitioned planning method is proposed for wind-PV clusters. Firstly, based on transmission line impedance, a partition method is proposed for the power grid. Secondly, a multi-indicator assessment framework including voltage excursion, power flow fluctuation and economic operation is provided. Finally, an optimization model is established to minimize the curtailment of renewable energies. The model is solved using the second-order cone approximation of AC power flow. Finally, the effectiveness of the proposed model was verified on the IEEE-39 bus system. © 2022 IEEE.

关键词： Electric load flow

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Research on power Electronics Converter Real-time Simulation Modeling Method Based on SILDP

Research on Power Electronics Converter Real-time Simulation...

引用

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

作者： Jin Liu Pengbo Han Zeqi Hong Hui Luo Siyang An Shujun Yao School of Electrical and Electronic Engineering North China Electric Power University Beijing China 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 Guangzhou China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

Generally, detailed model of power electronics converter is used in electromagnetic transient simulations. It will use large sources of hardware in FPGA and the speed of simulation is slow. This paper is focus on the modeling method of real-time simulation, and proposed a new model of converter which based on the semi-implicit latency decoupling and paralleling (SILDP) technology. According to the proposed model, the SILDP model of voltage source converter(VSC) is build up. Base on the comparative between the SILDP VSC model and the simulation result waveform of PSCAD model, give the verification that the accuracy and effectiveness of the proposed SILDP VSC model. Finally, the SILDP VSC model is finished the verification in the FPGA experiment platform.

关键词： Accuracy Computational modeling Simulation Voltage Mathematical models Real-time systems Numerical models

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An Equivalent Modeling Method for Integrated Hydro-Photovoltaic-Wind Systems Based on Particle Swarm Optimization and Neural Networks

An Equivalent Modeling Method for Integrated Hydro-Photovolt...

引用

intelligent power and Systems (ICIPS), International Conference on

作者： Ying Huang Yuanhong Lu Yanjun Zhao Yufeng Hu Jie Zhang Haiping Guo State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou 510663 China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou 510663 China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou 510663 China Southern Power Grid Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou 510663 China Southern Power Grid Guangzhou China

ISBN: (数字)9798331532765

ISBN: (纸本)9798331532772

The fault transient characteristics of power grids have undergone a fundamental transformation as a consequence of the advent of hybrid scale access to power grids by new energy sources. Nevertheless, the existing stand-alone equivalent model is unable to accurately characterise the fault transient characteristics of the hybrid light-water-wind electric field/cluster. Furthermore, the simulation computation of the stand-alone equivalent model is considerable in scale and the simulation efficiency is low. This paper proposes a particle swarm neural network-based clustered equivalent modelling method for a light-water-wind hybrid electric field. Firstly, a transient model of the light-water-wind hybrid electric field is established, and the characteristic influence factors of faults are constructed through theoretical analysis. These include the distance between the light-water-wind hybrid electric field and the point of common coupling (PCC), the input of current limiting measures on the DC side, the light, the water speed, the wind speed, and the reactive power at the outlet. Subsequently, the Euclidean distance is calculated for the set of characteristic influencing factors, and the initial centre of clustering of wind turbines is extracted based on the improved maximum-minimum distance method. Ultimately, the clustering equivalent modelling is accomplished through the utilisation of the aforementioned feature influencing factors and the classification initial centre as the training set. The simulation results show that compared with the single-machine equivalent model, The simulation error has been reduced from the order of magnitude of 10-2 p.u. to the order of magnitude of 10-4 p.u., while the simulation efficiency of this method is has been reduced from the order of magnitude of 10-2 s to the order of magnitude of 10-4 s.

关键词： Adaptation models Reactive power power measurement Computational modeling Wind speed Robustness power grids Electric fields Transient analysis Particle swarm optimization

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