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Clean Energy and Electric power Engineering (ICCEPE), International Conference on

作者： Qi Guo Haohan Gu Yifei Zhao Liang Tu Qifang Chen Haiqing Cai Wei Chen Zhihao Chen 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 School of Electrical Engineering Beijing Jiaotong University Beijing China

ISBN: (数字)9798350390315

ISBN: (纸本)9798350390322

When EVs participate in multiple ancillary services of the power grid, due to the lack of a unified management scheduling plan, various ancillary service demands compete for limited energy storage resources. This would lead to conflicts when the virtual energy storage of EV participates in the regulation of multiple ancillary services. In order to solve the above problems, a reasonable and feasible optimization strategy for virtual energy storage of EVs is formulated to alleviate the conflict problems of ancillary services. The validity of the proposed method is verified by simulation cases.

关键词： Economics Green energy Electric vehicles Linear programming Regulation power grids Optimization Frequency control Energy storage

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Electromagnetic Transient Modeling and Real-time Simulation Based on State-space Equations

Electromagnetic Transient Modeling and Real-time Simulation ...

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New Energy and power Engineering (ICNEPE), International Conference on

作者： Tianyu Guo Binjiang Hu Hui Luo Liang Tu Yanjun Zhao YuFeng Hu State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid 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 China China Southern Power Grid Co. Ltd China

ISBN: (数字)9798331516086

ISBN: (纸本)9798331516093

Due to the different output characteristics of different components of the power system, the simulation results of its output deviate from the actual situation. Therefore, the electromagnetic transient modeling and real-time simulation based on the state space equation are proposed. From the perspective of rectifier, DC transmission line, inverter and control system, the composition of the state space model of the complete power system and the output characteristics of each part in the operation process are analyzed. In the test results, the design method can achieve a stable fit between the real-time simulation results of voltage waveform containing two VSC modules and the actual situation.

关键词： Simulation systems operation power system dynamics power system stability Aerospace electronics Mathematical models Real-time systems Smart grids Nonlinear dynamical systems Transient analysis

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Closed-loop Simulation Method of Stability control system Based on Virtual Component Technology 6

Closed-loop Simulation Method of Stability Control System Ba...

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6th IEEE Conference on Energy Internet and Energy system Integration, EI2 2022

作者： Ma, Qinfeng Zhu, Yihua Liu, Mingshun Chang, Dongxu Pu, Qingxin Li, Chengxiang Power Dispatching Control Center of Guizhou Power Grid Co. Ltd Guizhou China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute China Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou China China Southern Power Grid CSG Key Laboratory for Power System Simulation Electric Power Research Institute Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China

ISBN: (纸本)9798350347159

The stability control system is an important means to ensure the safe and stable operation of the power system. In view of the shortcomings of the existing offline/real-time simulation test methods, a closed-loop simulation scheme based on virtual component technology is proposed. The virtual component technology of the stability control device is researched, and the virtualization method of the external hardware interface of the device is designed. On this basis, a closed-loop simulation framework of the stability control system under the offline/real-time simulation test environment is proposed. The functional logic of each component under the framework are analyzed. The calculation and feedback process of the entire closed-loop simulation system are analyzed in depth, which effectively solves the difficulty of simulation analysis and test verification of large-scale stability control system, providing a new method for the research and verification of stability control system strategy. © 2022 IEEE.

关键词： control system stability

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Nonlinear Modeling of the VSC Grid-Connected system with controller Saturation 4

Nonlinear Modeling of the VSC Grid-Connected System with Con...

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4th International Conference on Electrical Engineering and control Technologies, CEECT 2022

作者： Yu, Jiawei Zhu, Yihua Li, Chengxiang Luo, Chao State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid China National Energy Power Grid Technology R&d Center Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China Csg Key Laboratory for Power Sytem Simiulation ELectic Power Reasearch Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9781665498999

With the development of power electronics technology, the power system is now evolving into a new-generation power system dominated by renewable energy. Due to the physical limitations of power electronics, controller saturation is widely adopted in wind turbines and photovoltaics. In this paper, a nonlinear system model considering output saturation is proposed in the view of general dynamic systems. By defining saturation-activation vector L, all the saturations of the system are uniquely represented. Then, the proposed modeling method is applied to a voltage source converter (VSC) grid-connected system. Based on RTDS simulation, this paper revealed that a class of oscillations at a specific frequency are caused by the activation of the phase-locked loop (PLL) saturation. The frequency of the oscillation depends on the top and bottom boundaries of PLL saturation. © 2022 IEEE.

关键词： Chemical activation

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The Development of Simulation Mirror system and its Application in HVDC

The Development of Simulation Mirror System and its Applicat...

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HVDC (HVDC), International Conference on

作者： Kaijian Ou Wencong Wu Haiqing Cai State Key Laboratory of HVDC Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System CSG Key Laboratory for Power System Simulation National Energy Power Grid Technology R&D Centre Electric Power Research Institute China Southern Power Grid Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (数字)9798350387759

ISBN: (纸本)9798350387766

The testing of HVDC new control function and training of HVDC operation personnel require the integration of power system simulation and dispatching automation. This paper presents and builds AC&DC power system simulation mirror system, which is the closed-loop of real-time digital simulation and dispatching automation. Moreover, the applications of simulation mirror system on HVDC new control function testing and HVDC simulation training cabinet are also introduced in this paper.

关键词： Training Automation HVDC transmission power system simulation High-voltage techniques Dispatching Real-time systems Mirrors Personnel Testing

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Modified Affine Strategy for Two-Stage Robust Optimization of Generation and Reserve with Correlated Wind power

Modified Affine Strategy for Two-Stage Robust Optimization o...

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2022 power system and Green Energy Conference, PSGEC 2022

作者： Guo, Qi Cai, Haiqing Gu, Haohan Pan, Sijia Xu, Xiaoyuan Yan, Zheng Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China Csg Electric Power Research Institute Co. Ltd. Guangzhou China Department of Electrical Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9781665499934

ISBN: (纸本)9781665499934

A robust optimal power system dispatching method based on modified affine strategy is proposed to cope with the generation reserve coordination problem considering wind power uncertainty. Firstly, focusing on power system with wind turbines, a two-stage power optimal dispatch model of generation and reserve is established. Secondly, considering the statistical information of wind power errors, the self-organizing mapping(SOM) neural network is applied to make the wind power data get clustered, and then multiple uncertainty sets of wind power output error are constructed. Then, on the basis of the robust optimization model with multiple uncertainty sets, a modified affine strategy method is proposed, and it is transformed into linear programming(LP) model by dual principle. A 6-bus system and IEEE 118-bus system are tested for case studies, then the modified affine strategy is compared with the conventional affine strategy. The results show that the modified affine strategy has higher solution efficiency and better economic benefits, improves the problem of conservative modeling of uncertainty sets, and verifies the effectiveness and advancement of the proposed strategy. © 2022 IEEE.

关键词： Wind power

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Cooperative Prediction Approach for the Small-Signal Stability Margin of Renewable power system Based on Vertical Federated Learning

Cooperative Prediction Approach for the Small-Signal Stabili...

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power systems and Electrical Technology (PSET), IEEE International Conference on

作者： Xiang Lai Zhihao Chen Yun Liu Tianchen Dai Haiqing Cai Haohan Gu Wei Chen School of Electric Power Engineering South China University of Technology Guangzhou China State Key Laboratory of HVDC CSG Electric Power Research Institute Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China

ISBN: (数字)9798350353204

ISBN: (纸本)9798350353211

Since sub-synchronous oscillations have been frequently witnessed in large-scale wind farms under weak grid conditions, it is significant to predict the critical stability situations in short term so that timely preventative actions can be taken to avoid potential small-signal stability (SS) risks. To this end, this paper proposes a SS prediction approach based on the grid strength metric of generalized short-circuit ratio (gSCR) under the mechanism of vertical federated learning. Specifically, the improved ridge regression prediction model is employed and its corresponding distributed training and the distributed predicting are derived by utilizing the separable characteristic of gradient vector calculation in the context of federated learning. On this basis, the original largescale predicting problem is decomposed into a large number of small-scale subproblems, and each subproblem is calculated locally by the corresponding wind farm. The feature data information of adjacent wind farms can be effectively used to improve the accuracy of the prediction of the stability margin while ensuring the data privacy and security of all participants. Finally, simulation results illustrate the effectiveness and efficiency of the proposed approach under various scenarios.

关键词： Training Accuracy Federated learning Simulation power system stability Wind farms Predictive models Stability analysis Vectors Security

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Research on relay setting attack defense in power systems based on a three-layer optimization model

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Frontiers in Energy Research 2024年 12卷

作者： Ren, Liu Binyuan, Yan Hengdao, Guo Junrong, Liu Yihua, Zhu Yun, Fu Liang, Tu Zeyuan, Zhou 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 CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China Information Centre of Guizhou Power Grid Co. Guizhou China

With the intelligent development of power systems, the number of relays continues to increase. Differences in manufacturers, systems, and protocols lead to growing security risks. Tampering with relay settings could potentially cause power outages or even system instability. Consequently, relay settings have gradually become a key target for cyberattacks, particularly in smart grids where traditional defense measures struggle to effectively address complex and diverse attack scenarios. To address this issue, this paper proposes a three-layer optimization defense model based on game theory, designed to adapt to various attack scenarios. The core methodology of this model includes a three-layer structure: The first layer optimizes the protection level of each relay by allocating limited defense budgets. The second layer analyzes the potential system damage based on the attacker’s strategy choices. The third layer comprehensively calculates system losses to evaluate the effectiveness of defense plans. Through layer-by-layer optimization of budget allocation, the model minimizes the unsupplied energy loss caused by relay setting attacks. Compared to existing methods, this model not only improves defense effectiveness under resource constraints but also addresses multiple complex attack scenarios. Experimental results demonstrate that this model significantly enhances the system’s defense capabilities and effectively reduces the impact of attacks on system security operations. Copyright © 2024 Ren, Binyuan, Hengdao, Junrong, Yihua, Yun, Liang and Zeyuan.

关键词： Budget control

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Optimization of Sound Absorption and Insulation Performances of a Dual-Cavity Resonant Micro-Perforated Plate

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Fluid Dynamics & Materials Processing 2022年第2期18卷 481-496页

作者： Wei Chen Zhaofeng Guo Hongda Feng Sheng Hu Ling Lu Chuanmin Chen Xiaowen Wu Hao Cao State Grid Hunan Electric Power Co. Ltd.Electric Power Research InstituteChangsha410000China State Grid Corporation of China Power Facilities Noise and Vibration Laboratory Changsha410000China North China Electric Power University Department of Environmental Science and EngineeringHebei Provincial Key Laboratory of Coal-Fired Power Station Flue Gas Multi-Pollution Cooperative ControlBaoding071003China North China Electric Power University Key Laboratory of Regional Energy System Optimization Ministry of EducationBeijing102206China

This study investigates a dual-cavity resonant composite sound-absorbing structure based on a micro-perforated *** the COMSOL impedance tube model,the effects of various structural parameters on sound absorption and sound insulation performances are *** show that the aperture of the micro-perforated plate has the greatest influence on the sound absorption coefficient;the smaller the aperture,the greater is this *** thickness of the resonance plate has the most significant influence on the sound insulation and resonance frequency;the greater the thickness,the wider the frequency domain in which sound insulation is *** addition,the effect of filling the structural cavity with porous foam ceramics has been studied,and it has been found that the porosity and thickness of the porous material have a significant effect on the sound absorption coefficient and sound insulation,while the pore size exhibits a limited influence.

关键词： Micro perforated plate double cavity compound resonance structure sound absorption coefficient sound insulation

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Preventive control Methods for power systems Based on Improved Deep Reinforcement Learning

Preventive Control Methods for Power Systems Based on Improv...

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International Conference on power and Energy Technology (ICPET)

作者： Jie Zhang Yihua Zhu Zhuohang Liang Qingqing Zhang Qinfeng Ma Mingshun Liu Su An Jiang Dai State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China Operation and Control for New Energy Power System Guangdong Provincial Key Laboratory of Intelligent Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China Power Dispatching and Control Center of Guizhou Power Grid Co. Ltd. Guiyang China

ISBN: (数字)9798350375855

ISBN: (纸本)9798350375862

Convergence speed, accuracy, generalization and decision transparency are very important indices for transient stability preventive control generation methods based on AI. This paper proposes a transient stability preventive control generation method based on graph deep reinforcement learning and its interpretation method using mutual information optimization. Firstly, a transient stability preventive control generation model is built based on the framework of deep reinforcement learning algorithm. The grid domain buses are mapped to the graph domain nodes and the grid graph data samples are generated. The graph convolutional neural network via initial residual and identity mapping (GCNII) is used to build the action network and the evaluation network. Secondly, based on the GCNII network, a transient stability assessment model is built and pre-trained, and graph data samples containing varies of topological structures and power flow states are applied to train the model. Then the interpretation method based on mutual information optimization is used to analyze the decision-making basis of the transient stability assessment model. The dominant factor affecting the transient instability of power system is extracted and its contribution degree is quantified, and the abduction analysis of transient stability is realized. Finally, the pre-trained transient stability assessment model is embedded in the deep reinforcement learning framework as a guide, and the power flow adjustment method is used to preferentially correct the weak factors and their influencing factors so that the transient stability prevention control strategies are obtained. The feasibility and effectiveness of the proposed method are verified in the IEEE-39 node test system.

关键词： Prevention and mitigation Stability criteria Decision making power system stability Deep reinforcement learning Data models Transient analysis Optimization Mutual information Load flow

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